學系成員

紹伊布 Muhammad Shoaib 教授

  • 學歷

    PhD Mathematics, Riphah International University, Islamabad, Pakistan

    經歷

    • Professor, IBP-ECE, Yuan Ze University, Taiwan
    • Research Professor, AI Center, Yuan Ze University, Taiwan
    • Associate Professor, Department of Mathematics, COMSATS University Islamabad, Attock Campus, Pakistan
    • Assistant Professor, Department of Mathematics, COMSATS University Islamabad, Attock Campus, Pakistan

    研究專長

    • Applied and Computational Mathematics
    • Mathematical Modeling of Engineering and Physical Systems
    • Artificial Intelligence and Machine Learning
    • Optimization and Metaheuristics
  • 期刊論文

     

    Sr. No.

     

    List of Research Publication (0-25) %

     

    SCI/SSCI

    Rank Impact

    Factor (IF)

    N/M (%)

    1

    Raja, M.J.A.A., Sultan, A., Chang, C.Y., Shu, C.M., Muhammad Shoaib., Kiani, A.K. and Raja, M.A.Z., 2025. Design of a Fractional-Order Environmental Toxin-Plankton System in Aquatic Ecosystems: A Novel Machine Predictive Expedition with Nonlinear Autoregressive Neuroarchitectures. Water Research, p.123640.

    Published on 15 August 2025

    DOI: 10.1016/j.watres.2025.123640

    Water Resources



    1/128

    IF:

    Q1

    (0.78%)

    2

    Bukhari, A.H., Muhammad Shoaib., Kiani, A.K., Chaudhary, N.I., Raja, M.A.Z. and Shu, C.M., 2023. Dynamical analysis of nonlinear fractional order Lorenz system with a novel design of intelligent solution predictive radial base networks. Mathematics and Computers in Simulation.

    Published on 10 June 2023

    (DOI: 10.1016/j.matcom.2023.06.005)

    Words 6812



    4/332

    IF: 4.4 Q1 (1.2%)

    3

    Ihtesham Jadoon, Muhamamd Asif Zahoor Raja, Muhammad junaind, Ashfaq Ahmed, Ata ur Rehman, Muhammad Shoaib, 2021. Design of evolutionary optimized finite difference based numerical computing for dust density model of nonlinear Van-der Pol Mathieu’s oscillatory systems. Mathematics and Computers in Simulation, 181, pp.444-470.

    (DOI: 10.1016/j.matcom.2020.10.004.2020.10.10)

    COMPUTER SCIENCE, SOFTWARE



    4/332

    IF: 4.4 Q1 (1.2%)

    4

    Umar, M., Sabir, Z., Raja, M.A.Z., Aguilar, J.G., Amin, F. and Muhammad Shoaib., 2021. Neuro-swarm intelligent computing paradigm for nonlinear HIV infection model with CD4+ T-cells. Mathematics and Computers in Simulation, 188, pp.241-253.

    (DOI: 10.1016/j.matcom.2021.04.008.2021.04.20)

    COMPUTER SCIENCE, SOFTWARE ENGINEERING



    4/332

    IF: 4.4

    Q1

    (1.2%)

    5

    Naz, S., Raja, M.A.Z., Kausar, A., Zameer, A., Mehmood,

    A. and Muhammad Shoaib., 2022. Dynamics of nonlinear cantilever piezoelectric-mechanical system: An intelligent computational approach. Mathematics and Computers in Simulation.

    Published on 2022

    DOI: 10.1016/j.matcom.2022.01.011

    COMPUTER SCIENCE, SOFTWARE ENGINEERING



    4/332

    IF: 4.4 Q1 (1.2%)

    6

    Raja, M.A.Z., Muhammad Shoaib., Zubair, G., Khan, M.I., Gowda, R.P., Prasannakumara, B.C. and Guedri, K., 2022. Intelligent neuro-computing for entropy generated Darcy- Forchheimer mixed convective fluid flow. Mathematics and Computers in Simulation.

    Published on 2022

    DOI: 10.1016/j.matcom.2022.05.004.

    COMPUTER SCIENCE,

    SOFTWARE ENGINEERING



    4/332

    IF: 4.4 Q1

    (1.2%)

    7

    Anwar, N., Ahmad, I., Kiani, A.K., Muhammad Shoaib. and Raja, M.A.Z., 2023. Novel intelligent predictive networks for analysis of chaos in stochastic differential SIS epidemic model with vaccination impact. Mathematics and Computers in Simulation.

    Published on 19 December 2023 DOI: 10.1016/j.matcom.2023.12.024.

    COMPUTER SCIENCE, SOFTWARE ENGINEERING



    4/332

    IF: 4.4 Q1 (1.2%)

    8

    Muhammad Shoaib., Kausar, M., Nisar, K.S., Raja, M.A.Z. and Morsy, A., 2022. Impact of thermal energy on MHD Casson fluid through a Forchheimer porous medium with inclined non-linear surface: A soft computing approach. Alexandria Engineering Journal, 61(12), pp.12211-12228.

    Published on 12 Dec 2022

    (DOI: 10.1016/j.aej.2022.06.014)

    WORDS 5964



    5/182

    IF: 6.2

    Q1

    (2.74%)

    9

    Muhammad Shoaib., Raja, M.A.Z., Farhat, I., Shah, Z., Kumam, P. and Islam, S., 2022. Soft computing paradigm for Ferrofluid by exponentially stretched surface in the presence of magnetic dipole and heat transfer. Alexandria Engineering Journal, 61(2), pp.1607-1623.

    Published on Feb 2022

    (DOI: 10.1016/j.aej.2021.06.060)

    WORDS 5799



    5/182

    IF: 6.2 Q1 (2.74%)

    10

    Ayaz Hussain Bukhari, Muhammad Sulaiman, Saeed Islam, Muhammad Shoaib, Poom Kumam Muhammad Asif Zahoor Raja, 2020. Neuro-fuzzy modeling and prediction of summer precipitation with application to different meteorological stations. Alexandria Engineering Journal, 59(1), pp.101-116.

    (DOI: 10.1016/j.aej.2019.12.011.2019.12.19)

    (ENGINEERING, MULTIDISCIPLINARY)


    5/182

    IF: 6.2 Q1 (2.74%)

    11

    Waseem Waseem, Muhammad Sulaiman, Saeed Islam, Poom Kumam, Rashid Nawaz, Muhammad Asif Zahoor

    Raja, Muhammad Farooq, Muhammad Shoaib, 2020. A study of changes in temperature profile of porous fin model using cuckoo search algorithm. Alexandria Engineering Journal, 59(1), pp.11-24.

    (DOI: 10.1016/j.aej.2019.12.001.2019.12.01)

    (ENGINEERING, MULTIDISCIPLINARY)


    5/182

    IF: 6.2

    Q1

    (2.74%)

    12

    Ayaz Hussain Bukhari, Muhammad Sulaiman, Muhammad Asif Zahoor Raja, Saeed Islam, Muhammad Shoaib, and Poom Kumam. 2020. neural network for nonlinear dusty plasma system. Alexandria Engineering Journal, 59(5), pp.3325-3345.

    (Published on 2020)

    (ENGINEERING, MULTIDISCIPLINARY)



    5/182

    IF: 6.2 Q1 (2.74%)

    13

    M. Awais, M. A. Z. Raja, S. E. Ehsan, Muhammad Shoaib, H. M. Ali, 2021. Heat and mass transfer phenomenon for the dynamics of Casson fluid through porous medium over shrinking wall subject to Lorentz force and heat source/sink. Alexandria Engineering Journal, 60(1), pp.1355-1363.

    DOI: 10.1016/j.aej.2020.10.056.2020.11.07

    (ENGINEERING, MULTIDISCIPLINARY)



    5/182

    IF: 6.2 Q1 (2.74%)

    14

    Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Juan LG Guirao, and Muhammad Shoaib. 2021. A novel design of fractional Meyer wavelet neural networks with application to the nonlinear singular fractional Lane-Emden systems. Alexandria Engineering Journal, 60(2), pp.2641-2659. (DOI: 10.1016/j.aej.2021.01.004.2021.01.18)

    (ENGINEERING, MULTIDISCIPLINARY)



    5/182

    IF: 6.2 Q1 (2.74%)

    15

    Muhammad Shoaib, Muhammad Asif Zahoor Raja, Muhammad Touseef Sabir, Muhammad Awais, Saeed Islam, Zahir Shah, Poom Kumam, 2021. Numerical analysis of 3- D MHD hybrid nanofluid over a rotational disk in presence of thermal radiation with Joule heating and viscous dissipation effects using Lobatto IIIA technique. Alexandria Engineering Journal, 60(4), pp.3605-3619.

    (DOI: 10.1016/j.aej.2021.02.015.2021.03.02)

    (ENGINEERING, MULTIDISCIPLINARY)


    5/182

    IF: 6.2 Q1 (2.74%)

    16

    Nisar, K.S., Tabassum, R., Raja, M.A.Z. and Muhammad Shoaib., 2023. Advanced Bio-Inspired computing paradigm for nonlinear smoking model. Alexandria Engineering Journal, 76, pp.411-427.

    Published on 21 June 2023

    DOI: 10.1016/j.aej.2023.06.032.

    ENGINEERING, MULTIDISCIPLINARY



    5/182

    IF: 6.2 Q1 (2.74%)

    17

    Ullah, H., Ullah, K., Raja, M.A.Z., Muhammad Shoaib., Nisar, K.S., Islam, S., Weera, W. and Al-Harbi, N., 2023. Numerical treatment of squeezed MHD Jeffrey fluid flow with Cattaneo Chrisstov heat flux in a rotating frame using Levnberg-Marquard method. Alexandria Engineering Journal, 66, pp.1031-1050.

    Published on 30 December 2022

    DOI: 10.1016/j.aej.2022.12.034.

    ENGINEERING, MULTIDISCIPLINARY



    5/182

    IF: 6.2 Q1 (2.74%)

    18

    Butt, Z.I., Raja, M.A.Z., Ahmad, I., Hussain, S.I., Muhammad Shoaib. and Ilyas, H., 2024. Radial basis kernel harmony in neural networks for the analysis of MHD Williamson nanofluid flow with thermal radiation and chemical reaction: An evolutionary approach. Alexandria Engineering Journal, 103, pp.98-120.

    Published on 12 June 2024

    DOI: 10.1016/j.aej.2024.06.021.

    ENGINEERING, MULTIDISCIPLINARY


    5/182

    IF: 6.2 Q1 (2.74%)

    19

    Muhammad Shoaib., Zubair, G., Nisar, K.S., Raja, M.A.Z., Alqahtani, M.S., Abbas, M. and Almohiy, H.M., 2023. A Novel Design of Meyer Wavelet Neural Networks to Study the Epidemiological Smoking Model. Fractals, 31(02), p.2340034.

    Published on 08-March-2023

    (DOI: 10.1142/S0218348X23400340)

    Words 4330



    2/67

    IF: 9.92 Q1 (2.98%)

    20

    Bukhari, A.H., Raja, M.A.Z., Alquhayz, H., Abdalla, M.Z., Alhagyan, M., Gargouri, A. and Muhammad Shoaib., 2023. Design of intelligent hybrid NAR-GRNN paradigm for fractional order VDP chaotic system in cardiac pacemaker with relaxation oscillator. Chaos, Solitons & Fractals, 175, p.114047.

    Published on DATE 21 September 2023

    (DOI: 10.1016/j.chaos.2023.114047)

    Words 4740



    2/67

    IF: 9.92 Q1 (2.98%)

    21

    Nisar, K.S., Muhammad Shoaib., Haider, A., Maria and Zahoor Raja, M.A., 2025. Intelligent computing paradigm for stochastic SIS model with double epidemic diseases. Fractals.

    Published on 2025

    DOI: 10.1142/S0218348X25400560

    Fractals



    2/67

    IF: 9.92

    Q1

    (2.98%)

    22

    Raja, M.J.A.A., Sultan, A., Chang, C.Y., Shu, C.M., Kiani, A.K., Muhammad Shoaib., and Raja, M.A.Z., 2025. Prognostication of zooplankton-driven cholera pathoepidemiological Dynamics: Novel Bayesian-regularized deep NARX neuroarchitecture. Computers in Biology and Medicine, 192, p.110197.

    Published on June 2025

    DOI: 10.1016/j.compbiomed.2025.110197

    Computers in Biology and Medicine



    2/65

    IF:7.0

    Q1

    (3.07%)

    23

    Anwar, N., Raja, M.A.Z., Kiani, A.K., Ahmad, I. and Muhammad Shoaib., 2025. Autoregressive exogenous neural structures for synthetic datasets of olive disease control model with fractional Grünwald-Letnikov solver. Computers in Biology and Medicine, 187, p.109707.

    Published on 1st March 2025

    DOI: 10.1016/j.compbiomed.2025.109707

    Computers in Biology and Medicine



    2/65

    IF:7.0

    Q1

    (3.07%)

    24

    Muhammad Shoaib., Abbasi, A.Z., Raja, M.A.Z. and Nisar, K.S., 2022. A design of predictive computational network for the analysis of fractional epidemical predictor-prey model. Chaos, Solitons & Fractals, 165, p.112812.

    21 October 2022

    (DOI: 10.1016/j.chaos.2022.112812)

    Words 4930



    2/60

    IF: 5.3 Q1 (3.3%)

    25

    Sabir, Z., Ali, M.R., Raja, M.A.Z., Muhammad Shoaib., Núñez,

    R.A.S. and Sadat, R., 2021. Computational intelligence approach using Levenberg–Marquardt backpropagation neural networks to solve the fourth-order nonlinear system of Emden–Fowler model. Engineering with Computers, pp.1-17.

    Published on 13 may 2021

    (DOI:10.1007/s00366-021-01427-2) WORDS 9486



    6/183

    IF: 7.3 Q1 (3.27%)

    26

    Sabir, Z., Raja, M.A.Z., Muhammad Shoaib., Sadat, R. and Ali, M.R., 2022. A novel design of a sixth-order nonlinear modeling for solving engineering phenomena based on neuro intelligence algorithm. Engineering with Computers, pp.1-16.

    Published on 16 January 2022 (DOI: 10.1007/s00366-021-01596-0)

    Words 4272



    6/183

    IF: 7.3 Q1 (3.27%)

    27

    Bukhari, A.H., Raja, M.A.Z., Muhammad Shoaib. and Kiani, A.K., 2022. Fractional order Lorenz based physics informed SARFIMA-NARX model to monitor and mitigate megacities air pollution. Chaos, Solitons & Fractals, 161, p.112375.

    Published on 1 Jun 2022

    (DOI: 10.2139/ssrn.4123069)

    Words 6306


    2/60

    IF: 9.92 Q1 (3.33%)

    28

    Bukhari, A.H., Raja, M.A.Z., Rafiq, N., Muhammad Shoaib., Kiani, A.K. and Shu, C.M., 2022. Design of intelligent computing networks for nonlinear chaotic fractional Rossler system. Chaos, Solitons & Fractals, 157, p.111985.

    Published on April 2022,

    DOI:10.1016/j.chaos.2022.111985 PHYSICS, MATHEMATICAL



    2/60

    IF: 5.3 Q1 (3.33%)

    29

    Hassan, S.A., Raja, M.J.A.A., Chang, C.Y., Shu, C.M., Muhammad Shoaib, Kiani, A.K. and Raja, M.A.Z., 2024. Nonlinear chaotic Lorenz-Lü-Chen fractional order dynamics: A novel machine learning expedition with deep autoregressive exogenous neural networks. Chaos, Solitons & Fractals, 189, p.115620.

    Published on 2024

    DOI: 10.1016/j.chaos.2024.115620

    PHYSICS, MATHEMATICAL



    2/60

    IF: 5.3 Q1 (3.33%)

    30

    Raja, M.J.A.A., Hassan, S.A., Chang, C.Y., Shu, C.M., Kiani, A.K., Muhammad Shoaib., and Raja, M.A.Z., 2025. A hybrid neural-computational paradigm for complex firing patterns and excitability transitions in fractional Hindmarsh-Rose neuronal models. Chaos, Solitons & Fractals, 193, p.116149.

    Published on April 2025

    DOI: 10.1016/j.chaos.2025.116149

    Chaos, Solitons & Fractals



    2/60

    IF: 5.3

    Q1

    (3.33%)

    31

    Aljohani, J.L., Alaidarous, E.S., Raja, M.A.Z., Alhothuali,

    M.S. and Muhammad Shoaib., 2021. Backpropagation of Levenberg Marquardt artificial neural networks for wire coating analysis in the bath of Sisko fluid. Ain Shams Engineering Journal, 12(4), pp.4133-4143.

    DOI: 10.1016/j.asej.2021.03.007.2021.05.15

    ENGINEERING, MULTIDISCIPLINARY


    8/182

    IF: 6.0 Q1 (4.39%)

    32

    Raja, M.A.Z., Muhammad Shoaib., Khan, Z., Zuhra, S., Saleel, C.A., Nisar, K.S., Islam, S. and Khan, I., 2022. Supervised neural networks learning algorithm for three- dimensional hybrid nanofluid flow with radiative heat and mass fluxes. Ain Shams Engineering Journal, 13(2), p.101573.

    Published on 2022,

    DOI: 10.1016/j.asej.2021.08.015

    ENGINEERING, MULTIDISCIPLINARY



    8/182

    IF: 6.0 Q1 (4.39%)

    33

    Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Muhammad Shoaib, J. F. Gómez Aguilar, 2020. FMNEICS: fractional Meyer neuro-evolution-based intelligent computing solver for doubly singular multi- fractional order Lane–Emden system. Computational and Applied Mathematics, 39(4), pp.1-18. I. F 2.62.

    DOI:10.1007/s40314-020-01350-0.2020.10.260

    (MATHEMATICS, APPLIED)


    7/158

    IF: 1.5 Q1 (4.43%)

    34

    Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Muhammad Shoaib, Juan, Gairao, 2020. Integrated intelligent computing with neuro-swarming solver for multi- singular fourth-order nonlinear Emden–Fowler equation. Computational and Applied Mathematics, 39(4), pp.1-18.

    (DOI: 10.1007/s40314-020-01330-4.2020.10.31)

    (MATHEMATICS, APPLIED)



    7/158

    IF: 1.5 Q1 (4.43%)

    35

    Muhammad Shoaib., Naz, I., Raja, M.A.Z. and Nisar, K.S., 2022. A design of an intelligent computing networks to study impacts of porous dissipation and slip for boundary layer flow along Darcy-Brinkman porous media. International Communications in Heat and Mass Transfer, 135, p.106127.

    Published on JUNE 2022

    DOI: https://doi.org/10.1016/j.icheatmasstransfer.2022.106127

    WORDS 4871



    8/170

    IF: 6.4 Q1 (4.7%)

    36

    Muhammad Shoaib., Nisar, K.S., Raja, M.A.Z., Tariq, Y., Tabassum, R. and Rafiq, A., 2022. Knacks of neuro- computing to study the unsteady squeezed flow of MHD carbon nanotube with entropy generation. International Communications in Heat and Mass Transfer, 135, p.106140.

    Published on June 2022

    (DOI: 10.1016/j.icheatmasstransfer.2022.106140)

    WORDS 9985





    8/170

    IF: 6.4 Q1 (4.7%)

    37

    Muhammad Shoaib., Kausar, M., Nisar, K.S., Raja, M.A.Z., Zeb, M. and Morsy, A., 2022. The design of intelligent networks for entropy generation in Ree-Eyring dissipative fluid flow system along quartic autocatalysis chemical reactions. International Communications in Heat and Mass Transfer, 133, p.105971.

    Published on April 2022-

    (DOI: 10.1016/j.icheatmasstransfer.2022.105971)





    8/170

    IF: 6.4 Q1 (4.7%)

    38

    Muhammad Shoaib., Raja, M.A.Z., Jamshed, W., Nisar, K.S., Khan, I. and Farhat, I., 2021. Intelligent computing Levenberg Marquardt approach for entropy optimized single-phase comparative study of second grade nanofluidic system. International Communications in Heat and Mass Transfer, 127, p.105544.

    Published on 25 August 2021

    (DOI: 10.1016/j.icheatmasstransfer.2021.105544)

    WORDS 6057



    8/170

    IF: 6.4 Q1 (4.7%)

    39

    Muhammad Shoaib., Kausar, M., Khan, M.I., Zeb, M., Gowda, R.P., Prasannakumara, B.C., Alzahrani, F. and Raja, M.A.Z., 2021. Intelligent backpropagated neural networks application on Darcy-Forchheimer ferrofluid slip flow system. International Communications in Heat and Mass Transfer, 129, p.105730.

    Published on Dec 2021

    (DOI: 10.1016/j.icheatmasstransfer.2021.105730)

    WORDS 5317



    8/170

    IF: 6.4 Q1 (4.7%)

    40

    Muhammad Shoaib., Zubair, G., Nisar, K.S., Raja, M.A.Z., Khan, M.I., Gowda, R.P. and Prasannakumara, B.C., 2021. Ohmic heating effects and entropy generation for nanofluidic system of Ree-Eyring fluid: Intelligent computing paradigm. International Communications in Heat and Mass Transfer, 129, p.105683.

    Published on

    (DOI: 10.1016/j.icheatmasstransfer.2021.105683)

    WORDS 5614



    8/170

    IF: 6.4 Q1 (4.7%)

    41

    Hira Ilyas, Iftikhar Ahmed, Muhammad Asif Zahoor Raj and Muhammad Shoaib. 2021. A novel design of Gaussian WaveNets for rotational hybrid nanofluidic flow over a stretching sheet involving thermal radiation. International Communications in Heat and Mass Transfer, 123, p.105196.

    (DOI: 10.1016/j.icheatmasstransfer.2021.105196.2021.02.26)



    8/170

    IF: 6.4 Q1 (4.7%)

    42

    Khan, R.A., Ullah, H., Raja, M.A.Z., Khan, M.A.R., Islam,

    S. and Muhammad Shoaib, 2021. Heat transfer between two porous parallel plates of steady nano fludis with Brownian and Thermophoretic effects: A new stochastic numerical approach. International Communications in Heat and Mass Transfer, 126, p.105436.

    Published on July 2021,

    (DOI: 10.1016/j.icheatmasstransfer.2021.105436)



    8/170

    IF: 6.4 Q1 (4.7%)

    43

    Raja, M.A.Z., Muhammad Shoaib, Hussain, S., Nisar, K.S. and Islam, S., 2022. Computational intelligence of Levenberg-Marquardt backpropagation neural networks to study thermal radiation and Hall effects on boundary layer flow past a stretching sheet. International Communications in Heat and Mass Transfer, 130, p.105799.

    Published on 2022

    DOI: 10.1016/j.icheatmasstransfer.2021.105799



    8/170

    IF: 6.4 Q1 (4.7%)

    44

    Zubair, G., Muhammad Shoaib, Khan, M.I., Naz, I., Althobaiti, A., Raja, M.A.Z., Jameel, M. and Galal, A.M., 2022. Intelligent supervised learning for viscous fluid submerged in water based carbon nanotubes with irreversibility concept. International Communications in Heat and Mass Transfer, 130, p.105790.

    Published on 2022

    DOI: 10.1016/j.icheatmasstransfer.2021.105790



    8/170

    IF: 6.4 Q1 (4.7%)

    45

    Muhammad Shoaib., Naz, I., Raja, M.A.Z. and Nisar, K.S., 2022. A design of an intelligent computing networks to study impacts of porous dissipation and slip for boundary layer flow along Darcy-Brinkman porous media. International Communications in Heat and Mass Transfer, 135, p.106127.

    Published on 2022

    DOI: 10.1016/j.icheatmasstransfer.2022.106127.



    8/170

    IF: 6.4 Q1 (4.7%)

    46

    Butt, Z.I., Ahmad, I., Muhammad Shoaib., Ilyas, H. and Raja, M.A.Z., 2022. Electro-magnetohydrodynamic impact on Darrcy- Forchheimer viscous fluid flow over a stretchable surface: Integrated intelligent Neuro-evolutionary computing approach. International Communications in Heat and Mass Transfer, 137, p.106262.

    Published on 5 May 2022, DOI:10.2139/ssrn.4100922



    8/170

    IF: 6.4 Q1 (4.7%)

    47

    Butt, Z.I., Ahmad, I., Muhammad Shoaib., Ilyas, H. and Raja, M.A.Z., 2023. A novel design of inverse multiquadric radial basis neural networks to analyze MHD nanofluid boundary layer flow past a wedge embedded in a porous medium under the influence of radiation and viscous effects. International Communications in Heat and Mass Transfer, 140, p.106516.

    Published on 30 November 2022,

    DOI:10.1016/j.icheatmasstransfer.2022.106516.



    8/170

    IF: 6.4 Q1 (4.7%)

    48

    Muhammad Shoaib., Naz, I., Raja, M.A.Z. and Nisar, K.S., 2022. A design of an intelligent computing networks to study impacts of porous dissipation and slip for boundary layer flow along Darcy-Brinkman porous media. International Communications in Heat and Mass Transfer, 135, p.106127.

    Published on JUNE 2022

    DOI: 10.1016/j.icheatmasstransfer.2022.106127

    WORDS 4871



    8/170

    IF: 6.4 Q1 (4.7%)

    49

    Raja, M.A.Z., Nisar, K.S., Muhammad Shoaib., Akbar, A., Ullah, H. and Islam, S., 2023. A predictive neuro-computing approach for micro-polar nanofluid flow along rotating disk in the presence of magnetic field and partial slip. AIMS Mathematics, 8(5), pp.12062-12092. I. F. 2.739.

    Published on 21 March 2023

    DOI: 10.3934/math.2023608.

    MATHEMATICS



    25/490

    IF: 1.8

    Q1

    (5.10%)

    50

    Nisar, K.S., Muhammad Shoaib., Zubair, G., Raja, M.A.Z. and Morsy, A., 2022. The design of novel intelligent paradigms for future prediction smoking model with saturated occurrence rate.

    Published on 16 Sep 2022

    DOI:10.3934/math.20221114. MATHEMATICS



    25/490

    IF: 1.8

    Q1

    (5.10%)

    51

    Ahmad, I., Ilyas, H., Raja, M.A.Z., Cheema, T.N., Sajid, H., Nisar, K.S., Muhammad Shoaib., Alqahtani, M.S., Saleel, C.A. and Abbas, M., 2022. Intelligent computing based supervised learning for solving nonlinear system of malaria endemic model. AIMS Mathematics, 7(11), pp.20341- 20369.

    Published on 16 Sep 2022

    DOI:10.3934/math.20221114 MATHEMATICS



    25/490

    IF: 1.8

    Q1

    (5.10%)

    52

    Shah, Z., Raja, M.A.Z., Khan, W.A., Muhammad Shoaib., Tirth, V., Algahtani, A., Irshad, K. and Al-Mughanam, T., 2023. Computational intelligence paradigm with Levenberg-Marquardt networks for dynamics of Reynolds nanofluid model for Casson fluid flow. Tribology International, p.109180.

    Published on 10 December 2023

    DOI: 10.1016/j.triboint.2023.109180.

    ENGINEERING, MECHANICAL



    10/183

    IF: 6.1 Q1 (5.46%)

    53

    Awan, S.E., Shamim, R., Awais, M., Irum, S., Muhammad Shoaib. and Raja, M.A.Z., 2023. Convective flow dynamics with suspended carbon nanotubes in the presence of magnetic dipole: Intelligent solution predicted Bayesian regularization networks. Tribology International, p.108685.

    Published on 8 June 2023

    DOI:10.1016/j.triboint.2023.108685. ENGINEERING, MECHANICAL



    10/183

    IF: 6.1 Q1 (5.46%)

    54

    Shah, Z., Raja, M.A.Z., Muhammad Shoaib. and Shahzad, F., 2024. Noval Bayesian distributed adaptive neural structure for Titanium and Aluminium alloy nanofluidic model with gyrotactic microorganisms. Tribology International, p.109457.

    Published on 21 February 2024

    DOI:10.1016/j.triboint.2024.109457

    ENGINEERING, MECHANICAL


    10/183

    IF: 6.1 Q1 (5.46%)

    55

    Khan, M.P., Chang, C.Y., Raja, M.A.Z. and Muhammad Shoaib., 2024. Novel machine learning investigation for Buongiorno fluidic model with Sutterby nanomaterial. Tribology International, 199, p.110009.

    Published on 19 July 2024

    DOI:10.1016/j.triboint.2024.110009. ENGINEERING, MECHANICAL



    10/183

    IF: 6.1 Q1 (5.46%)

    56

    Urooj, A., Hassan, Q.M.U., Raja, M.A.Z., Ayub, K., Nisar, K.S. and Muhammad Shoaib., 2024. Numerical treatment for radiative hybrid nanofluid flow over a stretching sheet. Results in Engineering, 22, p.102209.

    Published on 7 May 2024

    DOI: 10.1016/j.rineng.2024.102209.

    ENGINEERING, MULTIDISCIPLINARY



    10/181

    IF: 6.0 Q1 (5.52%)

    57

    Muhammad Shoaib., Idrees, M., Ullah, H., Jan, A.U., Ahmad, T., Akgül, A., Abd El-Rahman, M. and Al-Mekhlafi, S.M., 2025. Expanding the frontiers of additive manufacturing: Higher microstructure identification through probability modeling. Results in Engineering, 26, p.104707.

    Published on June 2025

    DOI: 10.1016/j.rineng.2025.104707

    Results in Engineering



    10/181

    IF: 6.0 Q1 (5.52%)

    58

    Imran, A., Raja, M.A.Z., Muhammad Shoaib., Zeb, M. and Nisar, K.S., 2023. Electro-osmotic transport of a Williamson fluid within a ciliated microchannel with heat transfer analysis. Case Studies in Thermal Engineering, 45, p.102904.

    Published on 15 March 2023

    DOI:10.1016/j.csite.2023.102904. THERMODYNAMICS



    5/78

    IF: 6.4 Q1 (6.4)

    59

    Raja, M.A.Z., Khan, Z., Zuhra, S., Chaudhary, N.I., Khan, W.U., He, Y., Islam, S. and Muhammad Shoaib, 2021. Cattaneo-christov heat flux model of 3D hall current involving biconvection nanofluidic flow with Darcy- Forchheimer law effect: Backpropagation neural networks approach. Case Studies in Thermal Engineering, p.101168.

    Published on 30 September 2016

    DOI: 10.1016/j.molliq.2016.09.109

    (THERMODYNAMICS)



    5/78

    IF: 6.4 Q1 (6.41%)

    60

    Subhan, F., Nisar, K.S., Raja, M.A.Z., Uddin, I.,

    Muhammad Shoaib., Ullah, K., Islam, S. and Mnjam, S.R., 2023. Novel quartic spline method for boundary layer fluid flow problem of Falkner-Skan model with wall stretching and transfer of mass effects. Case Studies in Thermal Engineering, p.103887.

    Published on 10 Dec 2023

    DOI: 10.1016/j.csite.2023.103887

    THERMODYNAMICS




    5/78

    IF: 6.4

    Q1

    (6.41%)

    61

    Imran, A., Muhammad Shoaib., Nisar, K.S., Raja, M.A.Z., Zahra, A. and Sabir, Z., 2023. Electroosmosis oriented flow of Jeffrey viscoelastic model through scraped surface heat exchanger. Case Studies in Thermal Engineering, 47, p.103031.

    Published on 3 May 2023

    DOI:10.1016/j.csite.2023.103031. THERMODYNAMICS



    5/78

    IF: 6.4 Q1 (6.41%)

    62

    Qureshi, H., Shah, Z., Raja, M.A.Z., Muhammad Shoaib., and Khan, W.A., 2024. Supervised machine learning computing paradigm to measure melting and dissipative effects in entropy induced Darcy–Forchheimer flow with ternary-hybrid nanofluids. Numerical Heat Transfer, Part B: Fundamentals, pp.1-22.

    Published on 14 July 2024

    DOI:10.1080/10407790.2024.2377794. THERMODYNAMICS



    5/78

    IF: 6.4 Q1 (6.41%)

    63

    Raja, M.A.Z., Tayyab, H., Malik, A.M., Hassan, Q.M.U., Nisar, K.S. and Muhammad Shoaib, 2024. Intelligent Back-propagated Neural Networks to Study Nonlinear Heat Transfer in Tangent-Hyperbolic Fluids. Case Studies in Thermal Engineering, p.105636.

    Published on 10 September 2024

    DOI: 10.1016/j.csite.2024.105636.

    THERMODYNAMICS



    5/78

    IF: 6.4 Q1 (6.41%)

    64

    Raja, M.A.Z., Latif, A., Shamim, M., Nisar, K.S. and Muhammad Shoaib., 2025. Design of artificial neural network for buongiorno model with nanofluids flow through stretching sheet. Case Studies in Thermal Engineering, 69, p.106054.

    Published on May 2025

    DOI: 10.1016/j.csite.2025.106054

    Case Studies in Thermal Engineering



    5/78

    IF: 6.4 Q1 (6.41%)

    65

    Zahoor Shah, Muhammad Asif Zahoor Raja, Muhammad Shoaib, Waqar Azeem Khan, 2020. Design of neural network based intelligent computing for numerical treatment of unsteady 3D flow of Eyring-Powell magneto-nanofluidic model. Journal of Materials Research and Technology, 9(6), pp.14372-14387.

    (DOI: 10.1016/j.jmrt.2020.09.098.2020.10.16)

    (METALLURGY & METALLURGICAL ENGINEERING)



    6/90

    IF: 6.2

    Q1

    (6.6%)

    66

    Bukhari, A.H., Raja, M.A.Z., Alquhayz, H., Almazah, M.M., Abdalla, M.Z., Hassan, M. and Muhammad Shoaib., 2024.

    Predictive analysis of stochastic stock pattern utilizing fractional order dynamics and heteroscedastic with a radial neural network framework. Engineering Applications of Artificial Intelligence, 135, p.108687.

    Published on DATE September 2024

    (DOI: 10.1016/j.engappai.2024.108687)

    WORDS 5260



    6/84

    IF: 7.5 Q1 (7.14%)

    67

    Anwar, N., Saddiq, A., Raja, M.A.Z., Ahmad, I., Muhammad Shoaib., and Kiani, A.K., 2025. Novel machine intelligent expedition with adaptive autoregressive exogenous neural structure for nonlinear multi-delay differential systems in computer virus propagation. Engineering Applications of Artificial Intelligence, 146, p.110234.

    Published on 15 April 2025

    DOI: 10.1016/j.engappai.2025.110234

    Engineering Applications of Artificial Intelligence



    6/84

    IF: 7.5

    Q1

    (7.14%)

    68

    Butt, Z.I., Ahmad, I., Muhammad Shoaib, Ilyas, H. and Raja, M.A.Z., 2024. A novel radial base artificial intelligence structures with sequential quadratic programming for magnetohydrodynamic nanofluidic model with gold nanoparticles in a stenotic artery. Engineering Applications of Artificial Intelligence, 137, p.109122.

    Published on 2024

    DOI: 10.1016/j.engappai.2024.109122.

    COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, AUTOMATION & CONTROL SYSTEMS


    6/84

    IF: 7.5

    Q1

    (7.14%)

    69

    Khan, I., Ullah, H., AlSalman, H., Fiza, M., Islam, S., Muhammad Shoaib, Raja, M.A.Z., Gumaei, A. and Ikhlaq, F., 2021. Fractional Analysis of MHD Boundary Layer Flow over a Stretching Sheet in Porous Medium: A New Stochastic Method. Journal of Function Spaces.

    Published on 30 November 2021

    DOI: 10.1155/2021/5844741 MATHEMATICS


    37/490

    IF: 1.9 Q1 (7.55%)

    70

    Sabir, Z., Raja, M.A.Z., Baleanu, D., Cengiz, K. and Muhammad Shoaib, 2021. Design of Gudermannian Neuroswarming to solve the singular Emden–Fowler nonlinear model numerically. Nonlinear Dynamics, 106(4), pp.3199-3214.

    Published on 11 November 2021

    DOI:10.1007/s11071-021-06901-6

    ENGINEERING, MECHANICAL


    15/183

    IF: 5.2 Q1 (8.19%)

    71

    Muhammad Shoaib., Nisar, K.S., Raja, M.A.Z., Tabassum,R. and Sabir, Z., 2024. A stagnation point flow of cross nanofluid flow: Levenberg Marquardt backpropagation computational approach. ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte Mathematik und Mechanik, 104(3), p.e202300236.

    Published on 02 December 2023

    (DOI:10.1002/zamm.202300236)

    WORDS 4117



    41/332

    IF: 2.3 Q1 (12.34%)

    72

    Iqbal, Y., Hassan, Q.M.U., Raja, M.A.Z., Nisar, K.S. and Muhammad Shoaib., 2025. Neural network architecture for magnetized hybrid nanofluids with heat generation, absorption, and velocity slip. ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte Mathematik und Mechanik, 105(5), p.e70039.

    Published on 19 April 2025

    DOI: doi.org/10.1002/zamm.70039



    41/332

    IF: 2.3

    Q1

    (12.34)

    73

    Shah, F.A., Raja, M.A.Z., Muhammad Shoaib., Zamir, T. and Ihsan, A., 2023. Neural network design for cubic autocatalysis chemical processes, the flow of a Darcy‐ Forchheimer viscous fluid is optimized for entropy. ZAMM‐ Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte Mathematik und Mechanik, p.e 202300163.

    Published on 17 December 2023

    DOI: 10.1002/zamm.202300163.

    MATHEMATICS, APPLIED

     

     

    41/332

    IF: 2.3 Q1 (12.34)

    74

    Hussain, S., Islam, S., Raja, M.A.Z., Nisar, K.S. and Muhammad Shoaib., 2023. Intelligent computing technique to study heat and mass transport of Casson nanofluidic flow model on a nonlinear slanted extending sheet. ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte Mathematik und Mechanik, p.e202300224.

    Published on 15 December 2023

    DOI: 10.1002/zamm.202300224.

    MATHEMATICS, APPLIED

     

     

    41/332

    IF: 2.3 Q1

    (12.34%)

    75

    Butt, Z.I., Ahmad, I., Hussain, S.I., Raja, M.A.Z., Muhammad Shoaib. and Ilyas, H., 2023. Inverse multiquadric kernel‐based neuro heuristic approach to analyze the unsteady MHD nanofluid flow via permeable elongating surface. ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte Mathematik und Mechanik, p.e202300390.

    Published on 16 November, 2023 DOI:10.1002/zamm.202300390.

    MATHEMATICS, APPLIED

     

     

     

     

    41/332

    IF: 2.3 Q1 (12.34%)

    76

    Awan, S.E., Ali, F., Awais, M., Muhammad Shoaib. and Raja, M.A.Z., 2023. Intelligent Bayesian regularization‐ based solution predictive procedure for hybrid nanoparticles of AA7072‐AA7075 oxide movement across a porous medium. ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte Mathematik und Mechanik, p.e202300043.

    Published on 18 April 2023

    DOI:10.1002/zamm.202300043.

    MATHEMATICS, APPLIED

     

     

    41/332

    IF: 2.3 Q1 (12.34%)

    77

    Butt, Z.I., Ahmad, I., Muhammad Shoaib., Ilyas, H., Kiani, A.K. and Raja, M.A.Z., 2024. Integrated intelligence of inverse multiquadric radial base neuro‐evolution for radiative MHD Prandtl–Eyring fluid flow model with convective heating. ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte Mathematik und Mechanik, p.e202300302.

    Published on 25 January 2024

    DOI: 10.1002/zamm.202300302.

    MATHEMATICS, APPLIED

     

    41/332

    IF: 2.3 Q1 (12.34%)

    78

    Shahbaz, Hafiz Muhammad, Iftikhar Ahmad, Muhammad Asif Zahoor Raja, Hira Ilyas, Kottakkaran Sooppy Nisar, and Muhammad Shoaib. "A novel design of recurrent neural network to investigate the heat transmission of radiative Casson nanofluid flow consisting of carbon nanotubes (CNTs) across a curved stretchable surface." ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte Mathematik und Mechanik 104, no. 9 (2024): e202400104.

    Published on 18 July 2024

    DOI:10.1002/zamm.202400104. MATHEMATICS, APPLIED



    41/332

    IF: 2.3 Q1 (12.34%)

    79

    Imran, A., Abbas, M., Awan, S.E., Muhammad Shoaib. and Raja, M.A.Z., 2024. Electro osmotic flow of nanofluids within a porous symmetric tapered ciliated channel. ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte Mathematik und Mechanik, 104(9), p.e202300838. Published on 1 July 2024,

    DOI: 10.1002/zamm.202300838.

    MATHEMATICS, APPLIED


    41/332

    IF: 2.3 Q1 (12.34%)

    80

    Urooj, A., Kamran, M.S., Raja, M.A.Z., Hassan, Q.M.U., Nisar, K.S., Maria and Muhammad Shoaib., 2024. A recurrent neural network approach for magneto‐hydro‐dynamic flow of second‐ grade fluid with dissipation effect. ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte Mathematik und Mechanik, p.e202400051. Published on 19 September 2024

    DOI: 10.1002/zamm.202400051.

    MATHEMATICS, APPLIED



    41/332

    IF: 2.3 Q1 (12.34%)

    81

    Qureshi, H., Shah, Z., Raja, M.A.Z., Muhammad Shoaib, Khan, W.A. and Muhammad, T., 2024. Paradigm on Levenberg–Marquardt neural algorithm analysis of heat conduction optimization for ternary hybrid nanofluid with entropy generation. ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte Mathematik und Mechanik, p.e202301095.

    Published on 09 October 2024

    DOI:10.1002/zamm.202301095.

    MATHEMATICS, APPLIED



    41/332

    IF: 2.3 Q1 (12.34%)

    82

    Khan, M.P., Chang, C.Y., Raja, M.A.Z. and Muhammad Shoaib, 2024. Intelligent adaptive nonlinear autoregressive eXogeneous neuro‐structure for ferromagnetic Powell‐ Eyring fluidic involving cubic autocatalysis chemical reaction. ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte Mathematik und Mechanik, p.e202300748.

    Published on 18 October 2024,

    DOI:10.1002/zamm.202300748

    MATHEMATICS, APPLIED



    41/332

    IF: 2.3

    Q1

    (12.34%)

    83

    Sultan, A., Raja, M.J.A.A., Chang, C.Y., Shu, C.M., Muhammad Shoaib, Kiani, A.K. and Raja, M.A.Z., 2025. Intelligent predictive networks for nonlinear oxygen- phytoplankton-zooplankton coupled marine ecosystems under environmental and climatic disruptions. Process Safety and Environmental Protection, 193, pp.733-759.

    Published on 26 November 2024

    DOI: 10.1016/j.psep.2024.11.092.

    ENGINEERING, CHEMICAL



    22/170

    IF: 6.9 Q1 (12.94%)

    84

    Muhammad Shoaib, Muhammad Asif Zahoor Raja, Muhammad Tauseef Sabir, Ayaz Hussain Bukhari, Zahir Shah, Poom Kumam, Saeed Islam. 2021. A stochastic numerical analysis based on hybrid NAR-RBFs networks nonlinear SITR model for novel COVID-19 dynamics. Computer Methods and Programs in Biomedicine, 202, p.105973.

    Published on 07 Feb 2021

    (DOI: 10.1016/j.cmpb.2021.105973)

    Words 7921



    20/144

    IF: 4.9 Q1 (13.8%)

    85

    H. Ilyas, I. Ahmad, MAZ. Raja, M. B. Ahmad, Muhammad Shoaib, 2021. Intelligent computing for the dynamics of fluidic system of electrically conducting Ag/Cu nanoparticles with mixed convection for hydrogen possessions. International Journal of Hydrogen Energy, 46(7), pp.4947-4980.

    (DOI: 10.1016/j.ijhydene.2020.11.097.2021.01)

    (ELECTROCHEMISTRY)



    6/45

    IF: 81. Q1 (13.33%)

    86

    Ilyas, H., Ahmad, I., Raja, M.A.Z., Tahir, M.B. and Muhammad Shoaib., 2021. Intelligent networks for crosswise stream nanofluidic model with Cu–H2O over porous stretching medium. International Journal of Hydrogen Energy, 46(29), pp.15322- 15336.

    (DOI: 10.1016/j.ijhydene.2021.02.108.2021.03.12)

    (ELECTROCHEMISTRY)



    6/45

    IF: 8.1 Q1 (13.33%)

    87

    Ilyas, H., Ahmad, I., Raja, M.A.Z., Tahir, M.B. and Muhammad Shoaib, 2021. Neuro-intelligent mappings of hybrid hydro-nanofluid Al2O3–Cu–H2O model in porous medium over rotating disk with viscous dissolution and Joule heating. International Journal of Hydrogen Energy, 46(55), pp.28298-28326.

    Published on 8 July 2021

    DOI: 10.1016/j.ijhydene.2021.06.065

    ELECTROCHEMISTRY



    6/45

    IF: 8.1 Q1 (13.3%)

    88

    Butt, Z.I., Ahmad, I., Ilyas, H., Muhammad Shoaib., and Raja, M.A.Z., 2023. Design of inverse multiquadric radial basis neural networks for the dynamical analysis of MHD casson nanofluid flow along a nonlinear stretchable porous surface with multiple slip conditions. International Journal of Hydrogen Energy.

    Published on 30 January 2023

    DOI:10.1016/j.ijhydene.2022.12.319. ELECTROCHEMISTRY



    6/45

    IF: 8.1 Q1 (13.3%)

    89

    Jadoon, I., Ahmed, A., ur Rehman, A., Muhammad Shoaib., & Raja, M. A. Z. (2020). Integrated meta-heuristics finite difference method for the dynamics of nonlinear unipolar electrohydrodynamic pump flow model. Applied Soft Computing, 97, 106791.

    DOI: 10.1016/j.asoc.2020.106791

    COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE


    27/197

    IF:7.2 Q1 (13.7%)

    90

    Muhammad Shoaib., Tabassum, R., Nisar, K.S., Raja, M.A.Z., Shah, F.A., Alqahtani, M.S., Saleel, C.A. and Almohiy, H.M., 2023. Design of bio-inspired heuristic technique integrated with sequential quadratic programming for nonlinear model of pine wilt disease. FRACTALS, 31(06), pp.1-20.

    Published on 18-FEB-2023

    (DOI: 10.1142/S0218348X23401485)

    Words 5693



    19/135

    IF: 4.55 Q1

    (14.07%)

    91

    Kanan, M., Ullah, H., Raja, M.A.Z., Fiza, M., Ullah, H., Muhammad Shoaib., Akgãœl, A. and Asad, J., 2023. Intelligent Computing Paradigm For Second-Grade Fluid In A Rotating Frame in a Fractal Porous Medium. FRACTALS (fractals), 31(08), pp.1-22.

    Published on 2023

    DOI: 10.1142/S0218348X23401758.

    Fractals



    19/135

    IF: 4.55 Q1

    (14.0%)

    92

    Sabir, Z., Raja, M.A.Z., Wahab, H.A., Muhammad Shoaib., and Aguilar, J.G., 2020. Integrated neuro-evolution heuristic with sequential quadratic programming for second‐order prediction differential models. Numerical Methods for Partial Differential Equations.

    (DOI:10.1002/num.22692.2020.11.11) (MATHEMATICS, APPLIED)



    53/332

    IF: 2.1 Q1 (15.96%)

    93

    Raja, M.A.Z., Sabati, M., Parveen, N., Awais, M., Awan, S.E., Chaudhary, N.I., Muhammad Shoaib, and Alquhayz, H., 2021. Integrated intelligent computing application for effectiveness of Au nanoparticles coated over MWCNTs with velocity slip in curved channel peristaltic flow. Scientific reports, 11(1), pp.1-20.

    Published on 19 November 2021

    DOI:


    23/135

    IF: 3.8 Q1 (17.03%)

    94

    Muhammad Shoaib, Muhammad Asif Zahoor Raja, Zahir Shah, Poom Kumam. 2020. Numerical investigation for rotating flow of MHD hybrid nanofluid with thermal radiation over a stretching sheet. Scientific Reports, 10(1), pp.1-15.

    (DOI:10.1038/s41598-020-75254-8.2020.10.28) (MULTIDISCIPLINARY SCIENCES)



    23/135

    IF: 3.8 Q1 (17.03%)

    95

    Iftikhar Ahmad, Tahir Nawaz Cheema, Muhammad Asif Zahoor Raja, Saeed Ehsan Awan, Norma Binti Alias, Sana Iqbal, Muhammad Shoaib, 2021. A novel application of Lobatto IIIA solver for numerical treatment of mixed convection nanofluidic model. Scientific Reports, 11(1), pp.1-16.

    (DOI; 10.1038/s41598-021-83990-8. 2021.02.24)

    (MULTIDISCIPLINARY SCIENCES)


    23/135

    IF: 3.8 Q1 (17.03%)

    96

    J. L. Aljohani1, E. S. Alaidarous, MAZ. Raja, Muhammad Shoaib., and M. S. Alhothuali, 2021. Intelligent computing through neural networks for numerical treatment of non- Newtonian wire coating analysis model. Scientific Reports, 11(1), pp.1-32.

    (DOI: 10.1038/s41598-021-88499-8.2021.04.27)

    (MULTIDISCIPLINARY SCIENCES)



    23/135

    IF: 3.8 Q1 (17.03%)

    97

    Uddin, I., Ullah, I., Raja, M.A.Z., Muhammad Shoaib, Islam, S., Zobaer, M.S., Nisar, K.S., Saleel, C.A. and Alshahrani, S., 2021. The intelligent networks for double- diffusion and MHD analysis of thin film flow over a stretched surface. Scientific Reports, 11(1), pp.1-20.

    Published on 28 September 2021

    (DOI: 10.1038/s41598-021-97458-2)

    (MULTIDISCIPLINARY SCIENCES)



    23/135

    IF: 3.8 Q1 (17.03%)

    98

    Jamshed, W., Baleanu, D., Nasir, N.A.A.M., Shahzad, F., Nisar, K.S., Muhammad Shoaib, Ahmad, S. and Ismail, K.A., 2021. The improved thermal efficiency of Prandtl– Eyring hybrid nanofluid via classical Keller box technique. Scientific Reports, 11(1), pp.1-24.

    Published on 07 December 2021

    DOI: 10.1038/s41598-021-02756-4 MULTIDISCIPLINARY SCIENCES



    23/135

    IF: 3.8 Q1 (17.03%)

    99

    Raja, M.A.Z., Sabati, M., Parveen, N., Awais, M., Awan, S.E., Chaudhary, N.I., Muhammad Shoaib, and Alquhayz, H., 2021. Integrated intelligent computing application for effectiveness of Au nanoparticles coated over MWCNTs with velocity slip in curved channel peristaltic flow. Scientific reports, 11(1), pp.1-20.

    Published on 19 November 2021

    DOI: 10.1038/s41598-021-98490-y

    MULTIDISCIPLINARY SCIENCES


    23/135

    IF: 3.8 Q1 (17.03%)

    100

    Khan, W.U., Imran, A., Raja, M.A.Z., Muhammad Shoaib, Awan, S.E., Kausar, K. and He, Y., 2021. A novel mathematical modeling with solution for movement of fluid through ciliary caused metachronal waves in a channel. Scientific reports, 11(1), pp.1-12.

    Published on 18 October 2021

    DOI:10.1038/s41598-021-000396

    MULTIDISCIPLINARY SCIENCES



    23/135

    IF: 3.8 Q1 (17.03%)

    101

    Almalki, M.M., Alaidarous, E.S., Maturi, D.A., Raja,

    M.A.Z. and Muhammad Shoaib., 2021. Intelligent computing technique based supervised learning for squeezing flow model. Scientific Reports, 11(1), pp.1-15. Published on 01 October 2021

    DOI: 10.1038/s41598-021-99108-z

    MULTIDISCIPLINARY SCIENCES



    23/135

    IF: 3.8 Q1 (17.03%)

    102

    Awais, M., Muhammad Shoaib., Raja, M.A.Z., Arif, S., Malik, M.Y., Nisar, K.S. and Ismail, K.A., 2022. Endoscopy applications for the second law analysis in hydromagnetic peristaltic nanomaterial rheology. Scientific Reports, 12(1), pp.1-14.

    Published on 28 January 2022

    DOI: 10.1038/s41598-022-04945-1

    MULTIDISCIPLINARY SCIENCES



    23/135

    IF: 3.8 Q1 (17.03%)

    103

    Muhammad Shoaib., Ali, F., Awais, M., Naz, I., Shamim, R., Nisar, K.S., Raja, M.A.Z., Malik, M.Y., Abbas, M. and Saleel, C.A., 2023. Intelligent computing for the double- diffusive peristaltic rheology of magneto couple stress nanomaterials. Nanotechnology Reviews, 12(1), p.20220557.

    Published on 15 July 2023

    (DOI: 10.1515/ntrev-2022-0557)

    Words 4725



    31/179

    IF: 7.4 Q1 (17.31%)

    104

    Uddin, I., Ullah, I., Raja, M.A.Z., Muhammad Shoaib., Islam, S. and Muhammad, T., 2021. Design of intelligent computing networks for numerical treatment of thin film flow of Maxwell nanofluid over a stretched and rotating surface. Surfaces and Interfaces, 24, p.101107.

    (DOI: 10.1016/j.surfin.2021.101107.2021.04.04)

    (MATERIALS SCIENCE, COATINGS & FILMS)



    4/23

    IF: 5.7 Q1 (17.39%)

    105

    Muhammad Shoaib, A.Z Raja, M.A. Khan, S.E. Awan, 2021. Neuro Computing Networks for Entropy Generation under the Influence of MHD and Thermal Radiation. Surfaces and

    Interfaces, p.101243.

    DOI: 10.1016/j.surfin.2021.101243.2021.05.31)

    (MATERIALS SCIENCE, COATINGS & FILMS)



    4/23

    IF: 5.7

    Q1

    (17.39%)

    106

    Ahmad, I., Ilyas, H., Raja, M.A.Z., Khan, Z. and Muhammad Shoaib, 2021. Stochastic numerical computing with Levenberg-Marquardt backpropagation for performance analysis of heat Sink of functionally graded material of the porous fin. Surfaces and Interfaces, 26, p.101403.

    Published on 2021

    (DOI: 10.1016/j.surfin.2021.101403)

    MATERIALS SCIENCE, COATINGS & FILMS



    4/23

    IF: 5.7 17.39%)

    107

    Zamir, T., Shah, F.A., Muhammad Shoaib., and Ullah, A., 2023. Design of intelligent computing networks for a two- phase fluid flow with dusty particles hanging above a stretched cylinder. Computers and Concrete, 32(4), p.399. Published on 4 October 2023

    DOI: 10.12989/cac.2023.32.4.399.

    CONSTRUCTION & BUILDING TECHNOLOGY



    16/92

    IF: 2.9 Q1 (17.4%)

    108

    Raja, M.A.Z., Malik, M.F., Chang, C.L., Muhammad Shoaib., and Shu, C.M., 2021. Design of backpropagation networks for bioconvection model in transverse transportation of rheological fluid involving Lorentz force interaction and gyrotactic microorganisms. Journal of the Taiwan Institute of Chemical Engineers, 121, pp.276-291.

    (DOI: 10.1016/j.jtice.2021.03.042.2021.04.09)

    (ENGINEERING, CHEMICAL)



    31/170

    IF: 5.5 Q1 (18.23%)

    109

    Ilyas, H., Raja, M.A.Z., Ahmad, I. and Muhammad Shoaib., 2021. A novel design of Gaussian Wavelet Neural Networks for nonlinear Falkner-Skan systems in fluid dynamics. Chinese Journal of Physics, 72, pp.386-402.

    Published on 5 June 2021,

    (DOI: 10.1016/j.cjph.2021.05.012)

    (PHYSICS, MULTIDISCIPLINARY)



    21/112

    IF: 4.6 Q1 (18.75%)

    110

    Butt, Z.I., Ahmad, I., Hussain, S.I., Raja, M.A.Z., Muhammad Shoaib. and Ilyas, H., 2024. Intelligent computing paradigm for unsteady magneto nano-polymeric Casson nanofluid with Ohmic dissipation and thermal radiation. Chinese Journal of Physics.

    Published on 7 January 2024 DOI: 10.1016/j.cjph.2024.01.009.

    PHYSICS, MULTIDISCIPLINARY



    21/112

    IF: 4.6 Q1 (18.75%)

    111

    Muhammad Shoaib., Naz, S., Nisar, K.S., Raja, M.A.Z., Aslam, S. and Ahmad, I., 2022. MHD Casson Nanofluid in Darcy-Forchheimer Porous Medium in the Presence of Heat Source and Arrhenious Activation Energy: Applications of Neural Networks. International Journal of Modelling and Simulation, pp.1-24.

    Published on 24 Jun 2022

    DOI: 10.1080/02286203.2022.2091973.

    ENGINEERING, MULTIDISCIPLINARY



    37/181

    IF: 3.1 Q1 (20.44%)

    112

    Ullah, H., Muhammad Shoaib., Khan, R.A., Nisar, K.S., Raja, M.A.Z. and Islam, S., 2023. Soft computing paradigm for heat and mass transfer characteristics of nanofluid in magnetohydrodynamic (MHD) boundary layer over a vertical cone under the convective boundary condition. International Journal of Modelling and Simulation, pp.1-25.

    Published on 22 March 2023,

    DOI: 10.1080/02286203.2023.2191586.

    ENGINEERING, MULTIDISCIPLINARY



    37/181

    IF: 3.1 Q1 (20.44%)

    113

    Ahmad, I., Munir, A., Nisar, K.S., Raja, M.A.Z., Ilyas, H. and Muhammad Shoaib., 2024. Intelligent computing infrastructure for nodal/saddle stagnation point slip flow of an aqueous convectional magnesium oxide–gold hybrid nanofluid with viscous dissipation. International Journal of Modelling and Simulation, pp.1-20.

    Published on 08 Feb 2024

    DOI: 10.1080/02286203.2024.2311443. ENGINEERING, MULTIDISCIPLINARY



    37/181

    IF: 3.1 Q1 (20.44%)

    114

    Muhammad Shoaib., Tabassum, R., Raja, M.A.Z., Nisar, K.S., Alqahtani, M.S. and Abbas, M., 2022. A Design of Predictive Computational Network for Transmission Model of Lassa Fever in Nigeria. Results in Physics, p.105713.

    Published on 2022

    DOI:10.1016/j.rinp.2022.105713. PHYSICS, MULTIDISCIPLINARY



    23/112

    IF: 4.4 Q1 (20.53%)

    115

    Nisar, K.S., Muhammad Shoaib., Raja, M.A.Z., Tabassum, R. and Morsy, A., 2023. A novel design of evolutionally computing to study the quarantine effects on transmission model of Ebola virus disease. Results in Physics, 48, p.106408.

    Published on 30 March 2023

    DOI: 10.1016/j.rinp.2023.106408.

    PHYSICS, MULTIDISCIPLINARY



    23/112

    IF: 4.4

    Q1

    (20.53%)

    116

    Nisar, K.S., Aamir, M., Abbasi, A.Z., Raja, M.A.Z., Sohail, M.U. and Muhammad Shoaib., 2024. Comparative analysis of compressible inviscid flow over symmetric and supercritical airfoil. Results in Physics, p.107830.

    Published on 14 June 2024

    DOI:10.1016/j.rinp.2024.107830. PHYSICS, MULTIDISCIPLINARY

     

    23/112

    IF: 4.4 Q1 (20.53%)

    117

    Nisar, K.S., Sahar, F., Raja, M.A.Z. and Muhammad Shoaib., 2023. Intelligent neuro-computing to analyze the awareness programs of fractional epidemic system outbreaks. Journal of King Saud University-Science, 35(5), p.102691.

    Published on 20 April 2023

    DOI:10.1016/j.jksus.2023.102691. MULTIDISCIPLINARY SCIENCES.

     

     

    28/135

    IF: 3.7 Q1 (20.74%)

    118

    Hussain, S., Islam, S., Nisar, K.S., Raja, M.A.Z.,

    Muhammad Shoaib., Abbas, M. and Saleel, C.A., 2023. Cattaneo-Christov heat flow model at mixed impulse stagnation point past a Riga plate: Levenberg-Marquardt backpropagation method. Heliyon, 9(12).

    Published on 24 November 2023 DOI:10.1016/j.heliyon.2023.e22765

    MULTIDISCIPLINARY SCIENCES

     

     

    28/134

    IF: 3.4 Q1 (20.9)

    119

    Raja, M.A.Z., Nisar, K.S., Muhammad Shoaib., Abukhaled, M. and Riaz, A., 2023. Intelligent computing for MHD radiative Von Kármán Casson nanofluid along Darcy- Fochheimer medium with activation energy. Heliyon, 9(10).

    Published on 13 October 2023

    DOI:10.1016/j.heliyon.2023.e20911. MULTIDISCIPLINARY SCIENCES

     

     

    28/134

    IF: 3.4 Q1 (20.9)

    120

    Muhammad Shoaib., Tabassum, R., Nisar, K.S., Raja, M.A.Z., Fatima, N., Al-Harbi, N. and Abdel-Aty, A.H., 2023. A design of neuro-computational approach for double‐diffusive natural convection nanofluid flow. Heliyon, 9(3).

    Published on 6 March 2023

    DOI:10.1016/j.heliyon.2023.e14303. MULTIDISCIPLINARY SCIENCES

     

     

    28/134

    IF: 3.4 Q1 (20.9)

    121

    Muhammad Shoaib., Shah, F.A., Nisar, K.S., Raja, M.A.Z., ul Haq, E., Abbasi, A.Z., Hassan, Q.M.U., Al- Harbi, N. and Abdel-Aty, A.H., 2023. Variational iteration method along with intelligent computing system for the radiated flow of electrically conductive viscous fluid through porous medium. Heliyon, 9(3).

    Published on 9 March 2023

    DOI:10.1016/j.heliyon.2023.e14365. MULTIDISCIPLINARY SCIENCES

     

     

    28/134

    IF: 3.4 Q1 (20.9)

    122

    Butt, Z.I., Ahmad, I., Raja, M.A.Z., Hussain, S.I., Muhammad Shoaib. and Ilyas, H., 2023. Neuro-Heuristic Computational Intelligence Approach for Optimization of Electro-Magneto-Hydrodynamic Influence on a Nano Viscous Fluid Flow. International Journal of Intelligent Systems, 2023.

    Published on 16 December 2023 DOI: 10.1155/2023/7626478.

    COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

     

     

    45/197

    IF: 5.0 Q1 (22.84%)

    123

    Awais, M., Rehman, H., Raja, M.A.Z., Awan, S.E., Ali, A., Muhammad Shoaib., and Malik, M.Y., 2022. Hall effect on MHD Jeffrey fluid flow with Cattaneo–Christov heat flux model: an application of stochastic neural computing. Complex & Intelligent Systems, pp.1-25.

    Published on 09 May 2022

    DOI: 10.1007/s40747-022-00754-1.

    COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

     

     

    45/197

    IF: 5 Q1 (22.84%)

    224

    Afnan Hossain Nagoor, Eman Salem Alaidarous, Muhammad Touseef Sabir, Muhammad Shoaib, and Muhammad Asif Zahoor Raja. 2017. Three-dimensional rotating flow of carbon nanotubes with Darcy-Forchheimer porous medium. PLoS One, 12(7), p.e0179576.

    DOI: 10.1063/1.5135165. 2020.02)

    (MULTIDISCIPLINARY SCIENCES)



    32/134

    IF: 2.9

    Q1

    (23.8%)

    125

    Rana, M.A., Ali, Y. and Muhammad Shoaib., 2018. Three- dimensional Couette flow of a Jeffrey fluid along periodic injection/suction. Arabian Journal of Mathematics, 7(3), pp.229-247.

    (Published on 01-January-2018)

    DOI:

    (MATHEMATICS)

     

    117/490

    IF: 0.9 Q1 (23.87%)

    226

    Nisar, K.S., Anjum, M.W., Raja, M.A.Z. and Muhammad Shoaib., 2024. Design of a novel intelligent computing framework for predictive solutions of malaria propagation model. Plos one, 19(4), p.e0298451.

    Published on 18 April 2024

    DOI:10.1371/journal.pone.0298451.

    MULTIDISCIPLINARY SCIENCES



    32/134

    IF: 2.9 Q1 (23.88%)

    127

    Faisal, F., Muhammad Shoaib., and Raja, M.A.Z., 2020. A new heuristic computational solver for nonlinear singular Thomas–Fermi system using evolutionary optimized cubic splines. European Physical Journal Plus, 135(1), pp.1-29.

    (DOI: 10.1140/epjp/s13360-019-00066-3.2020.01.01)

    (PHYSICS, MULTIDISCIPLINARY)

     

    27/112

    IF: 2.8 Q1 24.1%

    128

    Muhammad Umar, Muhammad Asif Zahoor Raja, Zulqurnain Sabir, Afaf S. Alwabli, and Muhammad Shoaib. 2020. A stochastic computational intelligent solver for numerical treatment of mosquito dispersal model in a heterogeneous environment. European Physical Journal Plus, 135(7), pp.1-23.

    (DOI: 10.1140/epjp/s13360-020-00557-8.2020.07)

    (PHYSICS, MULTIDISCIPLINARY)

     

     

    27/112

    IF: 2.8 Q1 24.1%

    129

    Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Muhammad Umar, and Muhammad Shoaib. 2020. Neuro- swarm intelligent computing to solve the second-order singular functional differential model. European Physical Journal Plus, 135(6), pp.1-19.

    (DOI:10.1140/epjp/s13360-020-00440-6.2020.06)

    (PHYSICS, MULTIDISCIPLINARY)

     

     

    27/112

    IF: 2.8 Q1 24.1%

    130

    Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Muhammad Umar, and Muhammad Shoaib. 2020. Design of neuro-swarming-based heuristics to solve the third-order nonlinear multi-singular Emden–Fowler equation. European Physical Journal Plus, 135(5), p.410.

    (DOI:10.1140/epjp/s13360-020-00424-6.2020.04.28) (PHYSICS, MULTIDISCIPLINARY)

     

    27/112

    IF: 2.8 Q1 24.1%

    131

    Tahir Nawaz Cheema, Muhammad Asif Zahoor Raja, Iftikhar Ahmad, Shafaq Naz, Hira Ilyas, Muhammad Shoaib, 2020. Intelligent computing with Levenberg– Marquardt artificial neural networks for nonlinear system of COVID-19 epidemic model for future generation disease control. European Physical Journal Plus, 135(11), pp.1- 35.

    (DOI:10.1140/epjp/s13360-020-00910-x.20202.11.23) (PHYSICS, MULTIDISCIPLINARY)

     

     

    27/112

    IF: 2.8 Q1 24.1%

    132

    S. Naz, M.A.Z. Raja Mehmood, A., Zameer, A. and Muhammad Shoaib., 2021. Neuro-intelligent networks for Bouc–Wen hysteresis model for piezostage actuator. European Physical Journal Plus, 136(4), pp.1-20.

    (DOI:10.1140/epjp/s13360-021-01382-3.2021.04.13)

    (PHYSICS, MULTIDISCIPLINARY)

     

     

    27/112

    IF: 2.8 Q1 24.1%

    133

    Anwar, N., Ahmad, I., Raja, M.A.Z., Naz, S., Muhammad Shoaib, and Kiani, A.K., 2022. Artificial intelligence knacks- based stochastic paradigm to study the dynamics of plant virus propagation model with impact of seasonality and delays. European Physical Journal Plus, 137(1), pp.1-47.

    Published on 20 January 2022

    DOI:10.1140/epjp/s13360-021-02248-4.

    PHYSICS, MULTIDISCIPLINARY

     

     

    27/112

    IF: 2.8 Q1 24.1%

    134

    Anwar, N., Ghaffar, A., Raja, M.A.Z., Ahmad, I.,

    Muhammad Shoaib, and Kiani, A.K., 2024. Stochastic supervised neuro-architecture design for analyzing vector- borne plant virus epidemics with latency and incubation effects. European Physical Journal Plus, 139(12), pp.1- 34.

    Published on 11 December 2024

    DOI:10.1140/epjp/s13360-024-05883-9.

    PHYSICS, MULTIDISCIPLINARY


    27/112

    IF: 2.8 Q1 24.1%

    135

    Anwar, N., Ahmad, I., Fatima, A., Kiani, A.K., Muhammad Shoaib. and Raja, M.A.Z., 2023. Design of intelligent Bayesian supervised predictive networks for nonlinear delay differential systems of avian influenza model. European Physical Journal Plus, 138(10), p.911.

    Published on 12 October 2023

    DOI:10.1140/epjp/s13360-023-04533-w.

    PHYSICS, MULTIDISCIPLINARY

     

     

    27/112

    IF: 2.8 Q1 24.1%

    136

    Kausar, A., Chang, C.Y., Raja, M.A.Z., Zameer, A. and Muhammad Shoaib., 2024. Novel design of recurrent neural network for the dynamical of nonlinear piezoelectric cantilever mass–beam model. European Physical Journal Plus, 139(1), p.16.

    Published on 03 January 2024

    DOI:10.1140/epjp/s13360-023-04708-5.

    PHYSICS, MULTIDISCIPLINARY

     

     

    27/112

    IF: 2.8 Q1 24.1%

    137

    Asghar, S.A., Ahmad, I., Ilyas, H., Abdullah, M., Muhammad Shoaib. and Raja, M.A.Z., 2024. Numerical treatment of singular functional systems in quantum calculus: adaptive backpropagated Levenberg–Marquardt neural networks. European Physical Journal Plus, 139(1), p.10.

    Published on 02 January 2024

    DOI:10.1140/epjp/s13360-023-04735-2.

    PHYSICS, MULTIDISCIPLINARY



    27/112

    IF: 2.8 Q1 24.1%

    138

    Shah, Z., Raja, M.A.Z., Muhammad Shoaib. and Shahzad, F.,

    2024. Supervised stochastic Levenberg–Marquardt intelligent netwoks for dynamics of convective Eyring–Powell magneto- nanofluid model. European Physical Journal Plus, 139(2), p.173.

    Published on 19 February 2024,

    DOI:10.1140/epjp/s13360-023-04852-y

    PHYSICS, MULTIDISCIPLINARY




    27/112

    IF: 2.8 Q1 24.1%

    139

    Muhammad Shoaib., Anwar, N., Ahmad, I., Naz, S., Kiani,

    A.K. and Raja, M.A.Z., 2023. Neuro-computational intelligence for numerical treatment of multiple delays SEIR model of worms propagation in wireless sensor networks. Biomedical Signal Processing and Control, 84, p.104797.

    Published on 01 JULY 2023

    (DOI: 10.1016/j.bspc.2023.104797)

    WORDS 6320

     

     

    30/123

    IF: 4.9 Q1 (24.4%)

    140

    Bilal, M., Raja, M.A.Z., Ahmad, I., Khan, R. and Muhammad Shoaib., 2024. Dynamical analysis of nonlinear combined drug therapy model for HIV infection: Bayesian regularization technique intelligent networks. Biomedical Signal Processing and Control, 88, p.105629.

    Published on 30 October 2023

    DOI: 10.1016/j.bspc.2023.105629.

    ENGINEERING, BIOMEDICAL

     

     

    30/123

    IF: 4.9 Q1 (24.39)

    141

    Kehili, S. and Bafakeeh, O.T., 2022. Stochastic numerical computing for entropy optimized of Darcy-Forchheimer nanofluid flow: Levenberg Marquardt Algorithm. Chemical Physics Letters, 807, p.140070.

    Published on 23 Sep 2022

    DOI: 10.1016/j.cplett.2022.140070.

    PHYSICS, ATOMIC, MOLECULAR & CHEMICAL

     

    10/40

    IF: 2.8 Q1 (25%)







  • 研究計畫

    Project#1 Title: Novel integrated intelligent computing paradigms for nonlinear epidemic models with future generation diseases control.

    Project number: 15827

    Duration: Two years

    Agency: National Research Program for Universities funded by Higher Education of Pakistan

     

    Project#2 Title: Applications of Intelligent Computing Infrastructures to Thermal Performance using Hybrid Nanoparticles in the Presence of Activation Energy.

    Project number: IF-PSAU-2021/01/18054

    Agency: Deputyship for Research & Innovation, Ministry of Education in Saudi Arabi

    Duration: 1Years (Completed)

     

    Project 3: Analytical and Numerical Solution of three-Dimensional flow of viscous fluid in a Porous Medium

    Project number: 16-76/CRGP/CIIT/ATK/17/1086

    Agency: COMSATS University Islamabad, Pakistan

    Duration: 1 Year (Completed)

     

    Project 4: Numerical Treatment for wire coating analysis using supervised/un-supervised neural networks and stochastic solvers

    Project number: KEP-Msc-16-130-41

    Agency: Ministry of Higher Education, King Abdul Aziz University, Kingdom of Saudi Arabia

    Duration: 1Years (Completed)

     

    Project 5: Design of Artificial Intelligence based Stochastic Computing Paradigms for various flow and Epidemic Disease Models

    Project number: IF-PSAU-2021/01/18054

    Agency: Deputyship for Research & Innovation, Ministry of Education in Saudi Arabia

    Duration: 18 Months (Completed)

    Project 6: Design of new smart computing infrastructure for epidemic prevention and
    control:
    113-2221-E-155 -025

    Agency: NSTC, Taiwan


    Project 7: Integration of Artificial Intelligence in Design and Optimization of Space Deployable

    Antennas114-2221-E-155-012

    Agency: NSTC, Taiwan

    Duration: 1Years (Continue)


  • 相關著作與專利

    Publications:

    Total 286: Journal papers: 271, Conference papers: 05, International Conference: 10

    Cumulative Impact factor: 1000 plus, Citation: 7000 plus

    Link of research gate papers.

    https://www.researchgate.net/profile/Muhammad-Shoaib-92/publications

    Google Scholar Link

    https://scholar.google.com/citations?user=uWdWliwAAAAJ&hl=en


    [276] Nisar, K.S., Naz, I., Raja, M.A.Z. and Shoaib, M., 2024. Intelligent computing framework to analyze the transmission risk of COVID-19: Meyer wavelet artificial neural networks. Computational Biology and Chemistry, p.108234.


    [275] Shah, Z., Raja, M.A.Z., Shoaib, M., Javeed, S., Muhammad, T., Ali, M., Khan, W.A. and Haider, R.Z., 2024. Computing intelligence for the magnetised chemically reactive bidirectional radiative nanofluid flow through the Bayesian regularisation back-propagated neural network. Pramana, 98(4), p.130.


    [274] Urooj, A., Kamran, M.S., Raja, M.A.Z., Hassan, Q.M.U., Nisar, K.S., Maria and Shoaib, M., 2024. A recurrent neural network approach for magneto‐hydro‐dynamic flow of second‐grade fluid with dissipation effect. ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte Mathematik und Mechanik, p.e202400051.


    [273] Bukhari, A.H., Raja, M.A.Z., Alquhayz, H., Almazah, M.M., Abdalla, M.Z., Hassan, M. and Shoaib, M., 2024. Predictive analysis of stochastic stock pattern utilizing fractional order dynamics and heteroscedastic with a radial neural network framework. Engineering Applications of Artificial Intelligence, 135, p.108687.


    [272] Anwar, N., Shahzadi, K., Raja, M.A.Z., Ahmad, I., Shoaib, M. and Kiani, A.K., 2024. Intelligent adaptive networks for chaos analysis in stochastic SIS differential epidemic model with the impact of unpredictable environmental factors. Fluctuation and Noise Letters.


    [271] Qureshi, H., Shah, Z., Raja, M.A.Z., Alshahrani, M.Y., Khan, W.A. and Shoaib, M., 2024. Machine learning investigation of tuberculosis with medicine immunity impact. Diagnostic Microbiology and Infectious Disease, 110(3), p.116472.


    [270] Shoaib, M., Tabassum, R., Raja, M.A.Z. and Nisar, K.S., 2024. Bio-inspired algorithm integrated with sequential quadratic programming to analyze the dynamics of hepatitis B virus. Beni-Suef University Journal of Basic and Applied Sciences, 13(1), p.71.


    [269] Imran, A., Abbas, M., Awan, S.E., Shoaib, M. and Raja, M.A.Z., 2024. Electro osmotic flow of nanofluids within a porous symmetric tapered ciliated channel. ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte Mathematik und Mechanik, 104(9), p.e202300838.


    [268] Shahbaz, Hafiz Muhammad, Iftikhar Ahmad, Muhammad Asif Zahoor Raja, Hira Ilyas, Kottakkaran Sooppy Nisar, and Muhammad Shoaib. "A novel design of recurrent neural network to investigate the heat transmission of radiative Casson nanofluid flow consisting of carbon nanotubes (CNTs) across a curved stretchable surface." ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte Mathematik und Mechanik 104, no. 9 (2024): e202400104.


    [267] Qureshi, H., Shah, Z., Raja, M.A.Z., Shoaib, M. and Khan, W.A., 2024. Supervised machine learning computing paradigm to measure melting and dissipative effects in entropy induced Darcy–Forchheimer flow with ternary-hybrid nanofluids. Numerical Heat Transfer, Part B: Fundamentals, pp.1-22.


    [266] Khan, M.P., Chang, C.Y., Raja, M.A.Z. and Shoaib, M., 2024. Novel machine learning investigation for Buongiorno fluidic model with Sutterby nanomaterial. Tribology International, 199, p.110009.


    [265] Butt, Z.I., Ahmad, I., Shoaib, M., Hussain, S.I., Ilyas, H. and Raja, M.A.Z., 2024. Stochastic neuro-swarming intelligence paradigm for the analysis of magneto-hydrodynamic Prandtl–Eyring fluid flow with diffusive magnetic layers effect over an elongated surface. Chinese Journal of Chemical Engineering.


    [264] Ilyas, H., Ahmad, I., Hussain, S.I., Shoaib, M. and Raja, M.A.Z., 2024. Design of evolutionary computational intelligent solver for nonlinear corneal shape model by Mexican Hat and Gaussian wavelet neural networks. Waves in Random and Complex Media, pp.1-23.


    [263] Butt, Z.I., Raja, M.A.Z., Ahmad, I., Hussain, S.I., Shoaib, M. and Ilyas, H., 2024. Radial basis kernel harmony in neural networks for the analysis of MHD Williamson nanofluid flow with thermal radiation and chemical reaction: An evolutionary approach. Alexandria Engineering Journal, 103, pp.98-120.


    [262] Nisar, K.S., Aamir, M., Abbasi, A.Z., Raja, M.A.Z., Sohail, M.U. and Shoaib, M., 2024. Comparative analysis of compressible inviscid flow over symmetric and supercritical airfoil. Results in Physics, p.107830.


    [261] Anwar, N., Ahmad, I., Javaid, H., Kiani, A.K., Shoaib, M. and Raja, M.A.Z., 2024. Stochastic Runge–Kutta for numerical treatment of dengue epidemic model with Brownian uncertainty. Modern Physics Letters B, p.2450408.


    [260] Shah, Z., Raja, M.A.Z., Shoaib, M., Khan, I. and Kiani, A.K., 2024. Stochastic supervised networks for numerical treatment of Eyring–Powell nanofluid model with Darcy Forchheimer slip flow involving bioconvection and nonlinear thermal radiation. Modern Physics Letters B, p.2450400.


    [259] Kausar, A., Chang, C.Y., Raja, M.A.Z. and Shoaib, M., 2024. A novel design of layered recurrent neural networks for fractional order Caputo–Fabrizio stiff electric circuit models. Modern Physics Letters B, p.2450393.


    [258] Urooj, A., Hassan, Q.M.U., Raja, M.A.Z., Ayub, K., Nisar, K.S. and Shoaib, M., 2024. Numerical treatment for radiative hybrid nanofluid flow over a stretching sheet. Results in Engineering, 22, p.102209.


    [257] Shah, Z., Jamil, A., Raja, M.A.Z., Shoaib, M. and Kiani, A.K., 2024. Design of nonlinear Autoregressive neuro-computing structure for bioconvective micropolar nanofluidic model. NANO.


    [256] Nisar, K.S., Anjum, M.W., Raja, M.A.Z. and Shoaib, M., 2024. Design of a novel intelligent computing framework for predictive solutions of malaria propagation model. Plos one, 19(4), p.e0298451.


    [255] Anwar, N., Ahmad, I., Javaid, H., Kiani, A.K., Shoaib, M. and Raja, M.A.Z., 2024. Numerical treatment of stochastic and deterministic alcohol drinker dynamics with Euler–Maruyama method. Modern Physics Letters B, p.2450355.


    [254] Nisar, K.S., Anjum, M.W., Raja, M.A.Z. and Shoaib, M., 2024. Recurrent neural network for the dynamics of Zika virus spreading. AIMS Public Health, 11(2), pp.432-458.


    [253] Syed, F.A., Fang, K.T., Kiani, A.K., Shoaib, M. and Raja, M.A.Z., 2024. Design of Neuro-Stochastic Bayesian Networks for Nonlinear Chaotic Differential Systems in Financial Mathematics. Computational Economics, pp.1-30.


    [252] Bilal, M., Rocha, E., Asif Zahoor Raja, M., Bilal, S., Ahmad, I., Usman, M. and Shoaib, M., 2024. Advancements in Epidemiological Modeling: Bayesian Regularization Neural Networks for Smoke Dynamics. International Journal of Modeling, Simulation, and Scientific Computing.


    [251] Shoaib, M., Tabassum, R., Nisar, K.S. and Raja, M.A.Z., 2024. A framework for the analysis of skin sores disease using evolutionary intelligent computing approach. Computer Methods in Biomechanics and Biomedical Engineering, pp.1-15.

     

    [250] Shah, Z., Raja, M.A.Z., Shoaib, M. and Shahzad, F., 2024. Supervised stochastic Levenberg–Marquardt intelligent netwoks for dynamics of convective Eyring–Powell magneto-nanofluid model. The European Physical Journal Plus, 139(2), p.173. I. F. 3.7


    [249] Butt, Z.I., Ahmad, I., Shoaib, M., Ilyas, H., Kiani, A.K. and Raja, M.A.Z., 2024. Integrated intelligence of inverse multiquadric radial base neuro‐evolution for radiative MHD Prandtl–Eyring fluid flow model with convective heating. ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte Mathematik und Mechanik, p.e202300302. I. F. 1.75.


    [248] Ahmad, I., Munir, A., Nisar, K.S., Raja, M.A.Z., Ilyas, H. and Shoaib, M., 2024. Intelligent computing infrastructure for nodal/saddle stagnation point slip flow of an aqueous convectional magnesium oxide–gold hybrid nanofluid with viscous dissipation. International Journal of Modelling and Simulation, pp.1-20. I. F. 0.352.


    [247] Shah, Z., Raja, M.A.Z., Shoaib, M. and Shahzad, F., 2024. Noval Bayesian distributed adaptive neural structure for Titanium and Aluminium alloy nanofluidic model with gyrotactic microorganisms. Tribology International, p.109457.. I. F. 5.62.


    [246] Bilal, M., Raja, M.A.Z., Ahmad, I., Khan, R. and Shoaib, M., 2024. Dynamical analysis of nonlinear combined drug therapy model for HIV infection: Bayesian regularization technique intelligent networks. Biomedical Signal Processing and Control, 88, p.105629. I. F. 5.076.


    [245] Asghar, S.A., Ahmad, I., Ilyas, H., Abdullah, M., Shoaib, M. and Raja, M.A.Z., 2024. Numerical treatment of singular functional systems in quantum calculus: adaptive backpropagated Levenberg–Marquardt neural networks. The European Physical Journal Plus139(1), p.10. I. F. 3. 7.

     

    [244] Kausar, A., Chang, C.Y., Raja, M.A.Z., Zameer, A. and Shoaib, M., 2024. Novel design of recurrent neural network for the dynamical of nonlinear piezoelectric cantilever mass–beam model. The European Physical Journal Plus139(1), p.16. I. F. 3. 7.


    [243] Raja, M.A.Z., Haider, A., Nisar, K.S. and Shoaib, M., 2024. Intelligent computing knacks for infected media and time delay impacts on dynamical behaviors and control measures of the rumor-spreading model. AIMS Biophysics11(1), pp.1-17. I. F. 0.279.

     

    [242] Butt, Z.I., Ahmad, I., Hussain, S.I., Raja, M.A.Z., Shoaib, M. and Ilyas, H., 2024. Intelligent computing paradigm for unsteady magneto nano-polymeric Casson nanofluid with Ohmic dissipation and thermal radiation. Chinese Journal of Physics. I. F. 3.95.


    [241] Syed, F.A., Fang, K.T. and Raja, M.A.Z, Adiqa kausar and shoaib, muhammad., Design of Intelligent Autoregressive Exogenous Neuro-Structures for Nonlinear Chaotic Fractional Order Model in Econometrics. I. F. 9.92.

     

    [240] Nisar, K.S., Shoaib, M., Raja, M.A.Z., Tabassum, R. and Morsy, A., 2023. A novel design of evolutionally computing to study the quarantine effects on transmission model of Ebola virus disease. Results in Physics48, p.106408. I. F. 4.565.

     

    [239] Raja, M.A.Z., Nisar, K.S., Shoaib, M., Akbar, A., Ullah, H. and Islam, S., 2023.

    A predictive neuro-computing approach for micro-polar nanofluid flow along rotating disk in the presence of magnetic field and partial slip. AIMS Mathematics, 8(5), pp.12062-12092. I. F. 2.739.

     

    Aljohani, J.L., Alaidarous, E.S., Raja, M.A.Z., Alhothuali, M.S. and Shoaib, M., 2022. Supervised learning algorithm to study the magnetohydrodynamic flow of a third grade fluid for the analysis of wire coating. Arabian Journal for Science and Engineering47(6), pp.7505-7518.


    [153]Naz, S., Raja, M.A.Z., Kausar, A., Zameer, A., Mehmood, A. and Shoaib, M., 2022. Dynamics of nonlinear cantilever piezoelectric–mechanical system: An intelligent computational approach. Mathematics and Computers in Simulation196, pp.88-113. I. F. 8.08.


    Sabir, Z., Ali, M.R., Raja, M.A.Z., Shoaib, M., Núñez, R.A.S. and Sadat, R., 2022. Correction to: Computational intelligence approach using Levenberg–Marquardt backpropagation neural networks to solve the fourth‑order nonlinear system of Emden–Fowler model. Engineering with Computers38, pp.2993-2993. I. F. 8.08.

     

    [151] Raja, M.A.Z., Shoaib, M., Zubair, G., Khan, M.I., Gowda, R.P., Prasannakumara, B.C. and Guedri, K., 2022. Intelligent neuro-computing for entropy generated Darcy–Forchheimer mixed convective fluid flow. Mathematics and Computers in Simulation201, pp.193-214. I. F. 3.6.

     

    [150] Bilal, H., Ullah, H., Fiza, M., Islam, S., Raja, M.A.Z., Shoaib, M. and Khan, I., 2021. A Levenberg-Marquardt backpropagation method for unsteady squeezing flow of heat and mass transfer behaviour between parallel plates. Advances in Mechanical Engineering13(10), p.16878140211040897. I. F 1.316.


    [149] Sabir, Z., Ali, M.R., Raja, M.A.Z., Shoaib, M., Núñez, R.A.S. and Sadat, R., 2021. Computational intelligence approach using Levenberg–Marquardt backpropagation neural networks to solve the fourth-order nonlinear system of Emden–Fowler model. Engineering with Computers, pp.1-17, .I. F 8.08.


    [148] Ullah, H., Shoaib, M., Akbar, A., Raja, M.A.Z., Islam, S. and Nisar, K.S., 2022. Neuro-Computing for Hall Current and MHD Effects on the Flow of Micro-Polar Nano-Fluid Between Two Parallel Rotating Plates. Arabian Journal for Science and Engineering, pp.1-21. I. F 2.08.

    .

    [147] Shoaib, M., Ullah, I., Raja, M.A.Z., Farhat, I. and Sabir, M.T., 2022. Flow of magnetized nanomaterials through movable parallel plates with Lorentz forces: an intelligent computing application. Waves in Random and Complex Media, pp.1-22. I. F 4.05

    [146] Anwar, N., Shoaib, M., Ahmad, I., Naz, S., Kiani, A.K. and Raja, M.A.Z., 2022. Intelligent Computing Networks for Nonlinear Influenza-A Epidemic Model. International Journal of Biomathematics. I.F 2.13.


    [145] Bukhari, A.H., Raja, M.A.Z., Shoaib, M. and Kiani, A.K., 2022. Fractional order Lorenz based physics informed SARFIMA-NARX model to monitor and mitigate megacities air pollution. Chaos, Solitons & Fractals, 161, p.112375.I.F 9.92


    [144] Butt, Z.I., Ahmad, I., Shoaib, M., Ilyas, H. and Raja, M.A.Z., 2022. Electro-magnetohydrodynamic impact on Darrcy-Forchheimer viscous fluid flow over a stretchable surface: Integrated intelligent Neuro-evolutionary computing approach. International Communications in Heat and Mass Transfer, 137, p.106262. I. F 6.78.


    [143] Shoaib, M., Zubair, G., Khan, M.I., Raja, M.A.Z., Ahmad, S. and Guedri, K., 2022. Levenberg Marquardt knacks-based intelligent networks for the magnetohydrodynamic third-grade fluid flow under activation energy and bio-convection. Waves in Random and Complex Media, pp.1-24. I. F 4.05.



    [142] Shoaib, M., Naz, I., Raja, M.A.Z. and Nisar, K.S., 2022. A design of an intelligent computing networks to study impacts of porous dissipation and slip for boundary layer flow along Darcy-Brinkman porous media. International Communications in Heat and Mass Transfer, 135, p.106127. I. F 6.78.


    [141] Shoaib, M., Nisar, K.S., Raja, M.A.Z., Tariq, Y., Tabassum, R. and Rafiq, A., 2022. Knacks of neuro-computing to study the unsteady squeezed flow of MHD carbon nanotube with entropy generation. International Communications in Heat and Mass Transfer, 135, p.106140. I. F 6.78.


    [140] Shoaib, M., Tabassum, R., Raja, M.A.Z., Nisar, K.S., Alqahtani, M.S. and Abbas, M., 2022. A Design of Predictive Computational Network for Transmission Model of Lassa Fever in Nigeria. Results in Physics, p.105713. I. F. 4.56.


    [139] Shoaib, M., Tabassum, R., Khan, M.I., Raja, M.A.Z., Elattar, S., Qayyum, S. and Galal, A.M., 2022. Intelligent computing for entropy generation in Jeffrey nanofluid through radiated flow. Waves in Random and Complex Media, pp.1-28. I. F 4.05


    [138] Shoaib, M., Naz, S., Nisar, K.S., Raja, M.A.Z., Aslam, S. and Ahmad, I., 2022. MHD Casson Nanofluid in Darcy-Forchheimer Porous Medium in the Presence of Heat Source and Arrhenious Activation Energy: Applications of Neural Networks. International Journal of Modelling and Simulation, pp.1-24. I. F. 2.91.


    [137] Shoaib, M., Anwar, N., Ahmad, I., Naz, S., Kiani, A.K. and Raja, M.A.Z., 2022. Intelligent networks knacks for numerical treatment of nonlinear multi-delays SVEIR epidemic systems with vaccination. International Journal of Modern Physics B, p.2250100. I. F. 1.4.


    [136] Raja, M.A.Z., Shoaib, M., Zubair, G., Khan, M.I., Ahmad, S. and Elattar, S., 2022. Neural artificial networking for a nonlinear darcy–forchheimer chemically reactive flow: Levenberg marquardt analysis. Modern Physics Letters B, p.2250095. I. F. 1.95.


    [135] Shoaib, M., Kainat, S., Raja, M.A.Z. and Nisar, K.S., 2022. Design of artificial neural networks optimized through genetic algorithms and sequential quadratic programming for tuberculosis model. Waves in Random and Complex Media, pp.1-24.. I. F 4.05.


    Raja, M.A.Z., Shoaib, M., Tabassum, R., Khan, M.I., Jagannatha, C.G., Gali, C. and Elattar, S., 2022. A stochastic intelligent approach for entropy optimized mixed convective second-order slip flow over a movable surface. Archive of Applied Mechanics, pp.1-20. I. F 2.47.

     

    [133] Shoaib, M., Kausar, M., Nisar, K.S., Raja, M.A.Z. and Morsy, A., 2022. Impact of thermal energy on MHD Casson fluid through a Forchheimer porous medium with inclined non-linear surface: A soft computing approach, Alexandria Engineering Journal, 61(12), pp 12211-12228. I. F 6.626.


    [132] Raja, M.A.Z., Shoaib, M., Zubair, G., Khan, M.I., Gowda, R.P., Prasannakumara, B.C. and Guedri, K., 2022. Intelligent neuro-computing for entropy generated Darcy-Forchheimer mixed convective fluid flow. Mathematics and Computers in Simulation. I. F 3.6.


    [131] Raja, M.A.Z., Shoaib, M., Abbas, A., Khan, M.I., Jagannatha, C.G., Gali, C., Malik, M.Y. and Alwetaishi, M., 2022. Neuro-computing intelligent networks for entropy optimized MHD fully developed nanofluid flow with activation energy and slip effects. Journal of the Indian Chemical Society, p.100504. I. F 0.24.


    [130] Awais, M., Rehman, H., Raja, M.A.Z., Awan, S.E., Ali, A., Shoaib, M. and Malik, M.Y., 2022. Hall effect on MHD Jeffrey fluid flow with Cattaneo–Christov heat flux model: an application of stochastic neural computing. Complex & Intelligent Systems, pp.1-25. I. F. 6.7.


    [129] Zuhra, S., Raja, M.A.Z., Shoaib, M., Khan, Z., Nisar, K.S., Islam, S. and Khan, I., 2022. Numerical analysis of Cattaneo–Christov heat flux model over magnetic couple stress Casson nanofluid flow by Lavenberg–Marquard backpropagated neural networks. Waves in Random and Complex Media, pp.1-28. I. F 4.05.

     

    [128] Shoaib, M., Rafia, T., Raja, M.A.Z., Khan, W.A. and Waqas, M., 2022. Further analysis of double-diffusive flow of nanofluid through a porous medium situated on an inclined plane: AI-based Levenberg–Marquardt scheme with backpropagated neural network. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 44(6), pp.1-21. I. F 2.36.


    [127] Anwar, N., Ahmad, I., Raja, M.A.Z., Naz, S., Shoaib, M, and Kiani, A.K., 2022. Artificial intelligence knacks-based stochastic paradigm to study the dynamics of plant virus propagation model with impact of seasonality and delays. The European Physical Journal Plus, 137(1), pp.1-47. I. F 3.76.


    [126] Sabir, Z., Raja, M.A.Z., Umar, Shoaib, M, and Baleanu, D., 2022. FMNSICS: Fractional Meyer neuro-swarm intelligent computing solver for nonlinear fractional Lane–Emden systems. Neural Computing and Applications, 34(6), pp.4193-4206. I. F 5. 5.10.

    [125] Junsawang, P., Zuhra, S., Sabir, Z., Raja, M.A.Z., Shoaib, M., Botmart, T. and Weera, W., 2022. Numerical Simulations of Vaccination and Wolbachia on Dengue Transmission Dynamics in the Nonlinear Model. IEEE Access, 10, pp.31116-31144. I. F 3.48.


    [124] Raja, M.A.Z., Awan, S.E., Shoaib, M and Awais, M., 2022. Backpropagated Intelligent Networks for the Entropy Generation and Joule Heating in Hydromagnetic Nanomaterial Rheology Over Surface with Variable Thickness. Arabian Journal for Science and Engineering, pp.1-25. I. F 2.08.


    [123] Raja, M.A.Z., Tabassum, R., El-Zahar, E.R., Shoaib, M., Khan, M.I., Malik, M.Y., Khan, S.U. and Qayyum, S., 2022. Intelligent computing through neural networks for entropy generation in MHD third-grade nanofluid under chemical reaction and viscous dissipation. Waves in Random and Complex Media, pp.1-25. I. F 4.8.


    [122] Shah, Z., Raja, M.A.Z., Khan, W.A., Shoaib, M., Asghar, Z., Waqas, M. and Muhammad, T., 2022. Application of Levenberg–Marquardt technique for electrical conducting fluid subjected to variable viscosity. Indian Journal of Physics, pp.1-19. I. F 1.78.


    [121] Shoaib, M., Nisar, K.S., Raja, M.A.Z., Saad, M., Tabassum, R., Rafiq, A. and Ullah, I., 2022. Intelligent networks knacks for numerical treatment of three-dimensional Darcy–Forchheimer Williamson nanofluid model past a stretching surface. Waves in Random and Complex Media, pp.1-29. I. F 4.05.


    [120] Naz, S., Raja, M.A.Z., Kausar, A., Zameer, A., Mehmood, A. and Shoaib, M., 2022. Dynamics of nonlinear cantilever piezoelectric-mechanical system: An intelligent computational approach. Mathematics and Computers in Simulation. I. F. 3.6.


    [119] Shoaib, M., Kausar, M., Nisar, K.S., Raja, M.A.Z., Zeb, M. and Morsy, A., 2022. The design of intelligent networks for entropy generation in Ree-Eyring dissipative fluid flow system along quartic autocatalysis chemical reactions. International Communications in Heat and Mass Transfer, 133, p.105971. I. F 6.78.


    [118] Bukhari, A.H., Raja, M.A.Z., Rafiq, N., Shoaib, M., Kiani, A.K. and Shu, C.M., 2022. Design of intelligent computing networks for nonlinear chaotic fractional Rossler system. Chaos, Solitons & Fractals, 157, p.111985. I. F 9.92.


    [117] Raja, M.A.Z., Naz, H., Shoaib, M. and Mehmood, A., 2022. Design of backpropagated neurocomputing paradigm for Stuxnet virus dynamics in control infrastructure. Neural Computing and Applications, pp.1-20. I. F. 5.10.


    [116] Awais, M., Shoaib, M., Raja, M.A.Z., Arif, S., Malik, M.Y., Nisar, K.S. and Ismail, K.A., 2022. Endoscopy applications for the second law analysis in hydromagnetic peristaltic nanomaterial rheology. Scientific Reports, 12(1), pp.1-14. I. F. 4.99.


    [115] Sabir, Z., Raja, M.A.Z., Shoaib, M., Sadat, R. and Ali, M.R., 2022. A novel design of a sixth-order nonlinear modeling for solving engineering phenomena based on neuro intelligence algorithm. Engineering with Computers, pp.1-16. I. F. 8.08.


    [114] Sun, T.C., Uddin, I., Raja, M.A.Z., Shoaib, M., Ullah, I., Jamshed, W. and Islam, S., 2022. Numerical investigation of thin-film flow over a rotating disk subject to the heat source and nonlinear radiation: Lobatto IIIA approach. Waves in Random and Complex Media, pp.1-15. I. F. 4.8.


    [113] Zahoor Raja, M.A., Shoaib, M., El-Zahar, E.R., Hussain, S., Li, Y.M., Khan, M.I., Islam, S. and Malik, M.Y., 2022. Heat transport in entropy-optimized flow of viscoelastic fluid due to Riga plate: analysis of artificial neural network. Waves in Random and Complex Media, pp.1-20, I. F. 4.05.


    [112] Raja, M.A.Z., Shoaib, M., Khan, Z., Zuhra, S., Saleel, C.A., Nisar, K.S., Islam, S. and Khan, I., 2022. Supervised neural networks learning algorithm for three dimensional hybrid nanofluid flow with radiative heat and mass fluxes. Ain Shams Engineering Journal13(2), p.101573. I. F. 4.79.


    [111] Shoaib, M, Zubair, G., Raja, M.A.Z., Nisar, K.S., Abdel-Aty, A.H. and Yahia, I.S., 2022. Study of 3-D Prandtl Nanofluid Flow over a Convectively Heated Sheet: A Stochastic Intelligent Technique. Coatings, 12(1), p.24. I. F 3.24.


    [110] Zubair, G., Shoaib, M, Khan, M.I., Naz, I., Althobaiti, A., Raja, M.A.Z., Jameel, M. and Galal, A.M., 2022. Intelligent supervised learning for viscous fluid submerged in water based carbon nanotubes with irreversibility concept. International Communications in Heat and Mass Transfer, 130, p.105790. I. F. 6.78.


    [109] Raja, M.A.Z., Shoaib, M, Hussain, S., Nisar, K.S. and Islam, S., 2022. Computational intelligence of Levenberg-Marquardt backpropagation neural networks to study thermal radiation and Hall effects on boundary layer flow past a stretching sheet. International Communications in Heat and Mass Transfer, 130, p.105799. I. F. 6.78.


    [108] Shoaib, M, Raja, M.A.Z., Farhat, I., Shah, Z., Kumam, P. and Islam, S., 2022. Soft computing paradigm for Ferrofluid by exponentially stretched surface in the presence of magnetic dipole and heat transfer. Alexandria Engineering Journal, 61(2), pp.1607-1623. I. F 6.26. 



     [107] Uddin, I., Ullah, I., Raja, M.A.Z., Shoaib, M., Kiani, A.K. and Islam, S., 2022. Thin film flow of carreau nanofluid over a stretching surface with magnetic field: Numerical treatment with intelligent computing paradigm. International Journal of Modern Physics B, 36(03), p.2250021. I. F. 1.4.


    [106] Khan, I., Raja, M.A.Z., Khan, M.A.R., Shoaib, M., Islam, S. and Shah, Z., 2022. Design of backpropagated intelligent networks for nonlinear second-order Lane–Emden pantograph delay differential systems. Arabian Journal for Science and Engineering47(2), pp.1197-1210. I. F. 2.08.

    2021

    [105] Raja, M.A.Z., Shoaib, M, Tabassum, R., Khan, M.I., Gowda, R.P., Prasannakumara, B.C., Malik, M.Y. and Xia, W.F., 2021. Intelligent computing for the dynamics of entropy optimized nanofluidic system under impacts of MHD along thick surface. International Journal of Modern Physics B, 35(26), p.2150269. I. F. 1.4.


    [104] Ullah, H., Khan, I., Fiza, M., Hamadneh, N.N., Fayz-Al-Asad, M., Islam, S., Khan, I., Raja, M.A.Z. and Shoaib, M, 2021. MHD boundary layer flow over a stretching sheet: A new stochastic method. Mathematical Problems in Engineering, 2021. I. F. 1.43.


    [103] Aljohani, J.L., Alaidarous, E.S., Raja, M.A.Z., Alhothuali, M.S. and Shoaib, M, 2021. Supervised Learning Algorithm to Study the Magneto hydrodynamic Flow of a Third Grade Fluid for the Analysis of Wire Coating. Arabian Journal for Science and Engineering, pp.1-14. I. F. 2.08.


    [102] Shoaib, M, Raja, M.A.Z., Zubair, G., Farhat, I., Nisar, K.S., Sabir, Z. and Jamshed, W., 2021. Intelligent computing with levenberg–marquardt backpropagation neural networks for third-grade nanofluid over a stretched sheet with convective conditions. Arabian Journal for Science and Engineering, pp.1-19. I. F. 2.08.


    [101] Almalki, M.M., Alaidarous, E.S., Maturi, D.A., Raja, M.A.Z. and Shoaib, M., 2021. Intelligent computing technique based supervised learning for squeezing flow model. Scientific Reports, 11(1), pp.1-15.

    I. F. 4.99.


    [100] Ahmad, I., Ilyas, H., Raja, M.A.Z., Khan, Z. and Shoaib, M, 2021. Stochastic numerical computing with Levenberg-Marquardt backpropagation for performance analysis of heat Sink of functionally graded material of the porous fin. Surfaces and Interfaces, 26, p.101403. I. F. 6.14.


    [99] Shoaib, M, Raja, M.A.Z., Jamshed, W., Nisar, K.S., Khan, I. and Farhat, I., 2021. Intelligent computing Levenberg Marquardt approach for entropy optimized single-phase comparative study of second grade nanofluidic system. International Communications in Heat and Mass Transfer, 127, p.105544. I. F. 6.78.


    [98] Khan, W.U., Imran, A., Raja, M.A.Z., Shoaib, M, Awan, S.E., Kausar, K. and He, Y., 2021. A novel mathematical modeling with solution for movement of fluid through ciliary caused metachronal waves in a channel. Scientific reports, 11(1), pp.1-12. I. F. 4.99.


    [97] Ali, S., Ahmad, I., Raja, M.A.Z., Ahmad, S.U.I. and Shoaib, M, 2021. Design of evolutionary cubic spline intelligent solver for nonlinear Painlevé-I transcendent. International Journal of Modern Physics B, 35(29), p.2150299. I. F. 1.4.


    [96] Shoaib, M, Kausar, M., Khan, M.I., Zeb, M., Gowda, R.P., Prasannakumara, B.C., Alzahrani, F. and Raja, M.A.Z., 2021. Intelligent backpropagated neural networks application on Darcy-Forchheimer ferrofluid slip flow system. International Communications in Heat and Mass Transfer, 129, p.105730. I. F. 5.68.


    [95] Shoaib, M, Zubair, G., Nisar, K.S., Raja, M.A.Z., Khan, M.I., Gowda, R.P. and Prasannakumara, B.C., 2021. Ohmic heating effects and entropy generation for nanofluidic system of Ree-Eyring fluid: Intelligent computing paradigm. International Communications in Heat and Mass Transfer, 129, p.105683. I. F. 6.78.


    [94] Raja, M.A.Z., Sabati, M., Parveen, N., Awais, M., Awan, S.E., Chaudhary, N.I., Shoaib, M, and Alquhayz, H., 2021. Integrated intelligent computing application for effectiveness of Au nanoparticles coated over MWCNTs with velocity slip in curved channel peristaltic flow. Scientific reports, 11(1), pp.1-20. I. F. 4.99.


    [93] Khan, I., Ullah, H., AlSalman, H., Fiza, M., Islam, S., Shoaib, M, Raja, M.A.Z., Gumaei, A. and Ikhlaq, F., 2021. Fractional Analysis of MHD Boundary Layer Flow over a Stretching Sheet in Porous Medium: A New Stochastic Method. Journal of Function Spaces, 2021. I. F. 1.281.


    [92] Sabir, Z., Raja, M.A.Z., Baleanu, D., Cengiz, K. and Shoaib, M, 2021. Design of Gudermannian Neuroswarming to solve the singular Emden–Fowler nonlinear model numerically. Nonlinear Dynamics, 106(4), pp.3199-3214. I. F. 5.02.


    [91] Shoaib, M, Khan, R.A., Ullah, H., Nisar, K.S., Raja, M.A.Z., Islam, S., Felemban, B.F. and Yahia, I.S., 2021. Heat Transfer Impacts on Maxwell Nanofluid Flow over a Vertical Moving Surface with MHD Using Stochastic Numerical Technique via Artificial Neural Networks. Coatings, 11(12), p.1483. I. F. 3.24.


    [90] Shoaib, M, Tabassum, R., Nisar, K.S., Raja, M.A.Z., Rafiq, A., Khan, M.I., Jamshed, W., Abdel-Aty, A.H., Yahia, I.S. and E Mahmoud, E., 2021. Entropy Optimized Second Grade Fluid with MHD and Marangoni Convection Impacts: An Intelligent Neuro-Computing Paradigm. Coatings, 11(12), p.1492. I. F. 3.24.


    [89] Jamshed, W., Baleanu, D., Nasir, N.A.A.M., Shahzad, F., Nisar, K.S., Shoaib, M, Ahmad, S. and Ismail, K.A., 2021. The improved thermal efficiency of Prandtl–Eyring hybrid nanofluid via classical Keller box technique. Scientific Reports, 11(1), pp.1-24. I. F. 4.99.


    [88] Ullah, H., Khan, I., AlSalman, H., Islam, S., Asif Zahoor Raja, M., Shoaib, M, Gumaei, A., Fiza, M., Ullah, K., Rahman, M. and Md, S., 2021. Levenberg–Marquardt Backpropagation for Numerical Treatment of Micropolar Flow in a Porous Channel with Mass Injection. Complexity, 2021. I. F. 2.12.


    [87] Shoaib, M, Raja, M.A.Z., Sabir, M.T., Nisar, K.S., Jamshed, W., Felemban, B.F. and Yahia, I.S., 2021. MHD Hybrid Nanofluid Flow Due to Rotating Disk with Heat Absorption and Thermal Slip Effects: An Application of Intelligent Computing. Coatings, 11(12), p.1554. I. F. 3.24.


    [86] Khan, I., Raja, M.A.Z., Khan, M.A.R., Shoaib, M., Islam, S. and Shah, Z., 2021. Design of backpropagated intelligent networks for nonlinear second-order Lane–Emden pantograph delay differential systems. Arabian Journal for Science and Engineering, pp.1-14. I. F2.08.


    [85] Almalki, M.M., Alaidarous, E.S., Raja, M.A.Z., Maturi, D.A. and Shoaib, M, 2021. Optimization through the Levenberg—Marquardt Backpropagation Method for a Magnetohydrodynamic Squeezing Flow System. Coatings, 11(7), p.779. I. F 3.24.


    [84] Ilyas, H., Ahmad, I., Raja, M.A.Z., Tahir, M.B. and Shoaib, M, 2021. Neuro-intelligent mappings of hybrid hydro-nanofluid Al2O3–Cu–H2O model in porous medium over rotating disk with viscous dissolution and Joule heating. International Journal of Hydrogen Energy, 46(55), pp.28298-28326. I. F. 7.14.


    [83] Uddin, I., Ullah, I., Raja, M.A.Z., Shoaib, M, Islam, S., Zobaer, M.S., Nisar, K.S., Saleel, C.A. and Alshahrani, S., 2021. The intelligent networks for double-diffusion and MHD analysis of thin film flow over a stretched surface. Scientific Reports, 11(1), pp.1-20. I. F. 4.99.


    [82] Raja, M.A.Z., Khan, Z., Zuhra, S., Chaudhary, N.I., Khan, W.U., He, Y., Islam, S. and Shoaib, M, 2021. Cattaneo-christov heat flux model of 3D hall current involving biconvection nanofluidic flow with Darcy-Forchheimer law effect: Backpropagation neural networks approach. Case Studies in Thermal Engineering, p.101168. I. F 6.268.



    [81] Khan, R.A., Ullah, H., Raja, M.A.Z., Khan, M.A.R., Islam, S. and Shoaib, M, 2021. Heat transfer between two porous parallel plates of steady nano fludis with Brownian and Thermophoretic effects: A new stochastic numerical approach. International Communications in Heat and Mass Transfer, 126, p.105436. I. F6.78.


    [80] Kiani, A.K., Khan, W.U., Raja, M.A.Z., He, Y., Sabir, Z. and Shoaib, M, 2021. Intelligent backpropagation networks with bayesian regularization for mathematical models of environmental economic systems. Sustainability, 13(17), p.9537. I. F. 3.89.



    [79] Sabir, Z., Ali, M.R., Raja, M.A.Z., Shoaib, M, Núñez, R.A.S. and Sadat, R., 2021. Computational intelligence approach using Levenberg–Marquardt backpropagation neural networks to solve the fourth-order nonlinear system of Emden–Fowler model. Engineering with Computers, pp.1-17. I. F. 8.08.


    [78] Khan, I., Ullah, H., AlSalman, H., Fiza, M., Islam, S., Zahoor Raja, A., Shoaib, M, and Gumaei, A.H., 2021. Falkner–Skan equation with heat transfer: a new stochastic numerical approach. Mathematical Problems in Engineering, 2021. I. F. 1.43.

    [77] M. Amir, I. Ahmad, M.A.Z Raja and Muhammad Shoaib, 2021, Design of spline–evolutionary computing paradigm for nonlinear thin film flow model. Arabian Journal for Science and Engineering, 46(9), pp.9279-9299. I. F. 2.08.


    [76] Ilyas, H., Raja, M.A.Z., Ahmad, I. and Shoaib, M., 2021. A novel design of Gaussian Wavelet Neural Networks for nonlinear Falkner-Skan systems in fluid dynamics. Chinese Journal of Physics72, pp.386-402. Chinese Journal of Physics. I. F. 3.96.


    [75] Muhammad Shoaib, M.A.Z Raja, M.A. Khan, S.E. Awan, 2021. Neuro Computing Networks for Entropy Generation under the Influence of MHD and Thermal Radiation. Surfaces and Interfaces, p.101243. I. F. 6.14. 


    [74] Umar, M., Sabir, Z., Raja, M.A.Z., Aguilar, J.G., Amin, F. and Shoaib, M., 2021. Neuro-swarm intelligent computing paradigm for nonlinear HIV infection model with CD4+ T-cells. Mathematics and Computers in Simulation, 188, pp.241-253. I. F. 3.6.


    Ishtisham Jadoon, Muhammad Junaid, Ashfaq Ahmed, Ata ur Rehman, Muhammad Shoaib, Muhammad Asif Zahoor Raja. 2020. Integrated meta-heuristics finite difference method for the dynamics of nonlinear unipolar electrohydrodynamic pump flow model. Applied Soft Computing, 97, p.106791. I. F 8.26.

     

    [52] Muhammad Shoaib, Muhammad Asif Zahoor Raja, Zahir Shah, Poom Kumam. 2020. Numerical investigation for rotating flow of MHD hybrid nanofluid with thermal radiation over a stretching sheet. Scientific Reports, 10(1), pp.1-15. I. F 4.99.


    [51] Almalki, M.M., Alaidarous, E.S., Maturi, D.A., Raja, M.A.Z. and Shoaib, M., 2020. A Levenberg–Marquardt backpropagation neural network for the numerical treatment of squeezing flow with heat transfer model. IEEE Access8, pp.227340-227348. I. F. 3.48.


    [50]  Muhammad Awais, Saeed Ehsan Awan, Muhammad Awais, Muhammad Shoaib, Muhammad Asif Zahoor Raja, 2020. Rheology of hydro-magnetic polymeric material with heat generation/absorption and chemical reaction. Journal of the National Science Foundation of Sri Lanka, 48(4). I. F. 1.24.


    [49] Zahoor Shah, Muhammad Asif Zahoor Raja, Muhammad Shoaib, Waqar Azeem Khan, 2020. Design of neural network based intelligent computing for neumerical treatment of unsteady 3D flow of Eyring-Powell magneto-nanofluidic model. Journal of Materials Research and Technology, 9(6), pp.14372-14387. I. F. 6.27.


    [48] Muhammad Umar, Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Muhamamd Shoaib, Manoj Gupta, Yolanda Guerrero, 2020. A Stochastic Intelligent Computing with Neuro-Evolution Heuristics for Nonlinear SITR System of Novel FtCOVID-19 Dynamics. Symmetry, 12(10), p.1628. I. F. 3.11.


    [47] Chun Ouyang, Muhammad Asif Zahoor Raja, Shafaq Naz,Yasam Ali, Sayyar Ali Shah, Aihua yuan, Rizwan Akhtar, Iftikhar Ahmad and Muhammad Shoaib, 2020. Numerical Computing for Investigation of Oblique Magnetic Viscous Dissipative Transport for Chemically Reactive Micro Rotations in a Porous Medium. Journal of Nanoelectronics and Optoelectronics, 15(10), pp.1248-1259. I. F. 0.97.


    [46] Tahir Nawaz Cheema, Muhammad Asif Zahoor Raja, Iftikhar Ahmad, Shafaq Naz, Hira Ilyas, Muhammad Shoaib, 2020. Intelligent computing with Levenberg–Marquardt artificial neural networks for nonlinear system of COVID-19 epidemic model for future generation disease control. The European Physical Journal Plus, 135(11), pp.1-35. I. F 3.76.


    [45] Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Muhammad Shoaib, Juan, Gairao, 2020. Integrated intelligent computing with neuro-swarming solver for multi-singular fourth-order nonlinear Emden–Fowler equation. Computational and Applied Mathematics, 39(4), pp.1-18. I.F. 2.62.


    [44] Ifikhar Ahmed, Muhammad Asif Zahoor Raja, Muhammad Bilal, Muhammad Shoaib, 2020. Integrated neuro-evolution-based computing solver for dynamics of nonlinear corneal shape model numerically. Neural Computing and Applications, pp.1-17. I. F 5.10.


    [43] Imtiaz Khan, Muhammad Asif Zahoor Raja, Muhammad Shoaib, Poom Kumam, Hussam Alrabaiah, Zahir Shah, and Saeed Islam. 2020. Design of Neural Network with Levenberg-Marquardt and Bayesian Regularization Backpropagation for Solving Pantograph Delay Differential Equations. IEEE Access, 8, pp.137918-137933. I.F. 3.48.


    [42] Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Muhammad Shoaib, J. F. Gómez Aguilar, 2020. FMNEICS: fractional Meyer neuro-evolution-based intelligent computing solver for doubly singular multi-fractional order Lane–Emden system. Computational and Applied Mathematics, 39(4), pp.1-18. I. F 2.62.

     

    [41] Sabir, Z., Raja, M.A.Z., Wahab, H.A., Shoaib, M. and Aguilar, J.G., 2020. Integrated neuro‐evolution heuristic with sequential quadratic programming for second‐order prediction differential models. Numerical Methods for Partial Differential EquationsI. F. 3.57.


    [40] M. Awais, Saeed Ehsan, Muhammad Shoaib, M. A. Z. Raja, 2020. Effects of Gyro-Tactic Organisms in Bio-convective Nano-material with Heat Immersion, Stratification, and Viscous Dissipation. Arabian Journal for Science and Engineering, pp.1-14. I. F 2.08.


    [39] Waseem Waseem, Muhammad Sulaiman, Poom Kumam, Muhammad Shoaib, Muhammad Asif Zahoor Raja, and Saeed Islam. 2020. Investigation of singular ordinary differential equations by a neuroevolutionary approach. Plos one, 15(7), p.e0235829. (I.F: 3.752)


    [38] Ouyang Chun, Muhammad Asif Zahoor Raja, Shafaq Naz, Iftikhar Ahmad, Rizwan Akhtar, Yasam Ali, and Muhammad Shoaib. 2020. Dynamics of inclined magnetic field effects on micropolar Casson fluid with Lobatto IIIA numerical solver. AIP Advances, 10(6), p.065023. (I.F: 1.697)


    [37] Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Muhammad Umar, and Muhammad Shoaib. 2020. Design of neuro-swarming-based heuristics to solve the third-order nonlinear multi-singular Emden–Fowler equation. The European Physical Journal Plus, 135(5), p.410. (I.F: 3.76 )


    [36] Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Muhammad Umar, and Muhammad Shoaib. 2020. Neuro-swarm intelligent computing to solve the second-order singular functional differential model. The European Physical Journal Plus, 135(6), pp.1-19. (I.F: 3.76)


    [35] Ouyang Chun, Rizwan Akhtar, Muhammad Asif Zahoor Raja, Muhammad Touseef Sabir, Muhammad Awais, and Muhammad Shoaib. 2020. Numerical treatment with Lobatto IIIA technique for radiative flow of MHD hybrid nanofluid (Al2O3—Cu/H2O) over a convectively heated stretchable rotating disk with velocity slip effects. AIP Advances, 10(5), p.055122. (I.F: 1.697)


    [34] Ayaz Hussain Bukhari, Muhammad Sulaiman, Muhammad Asif Zahoor Raja, Saeed Islam, Muhammad Shoaib, and Poom Kumam. 2020. neural network for nonlinear dusty plasma system. Alexandria Engineering Journal, 59(5), pp.3325-3345. (I.F6.626)


    [33] Muhammad Umar, Muhammad Asif Zahoor Raja, Zulqurnain Sabir, Afaf S. Alwabli, and Muhammad Shoaib. 2020. A stochastic computational intelligent solver for numerical treatment of mosquito dispersal model in a heterogeneous environment. The European Physical Journal Plus, 135(7), pp.1-23. (I.F: 3.76)

    .

    [32] Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Juan LG Guirao, and Muhammad Shoaib. 2020. A Neuro-Swarming Intelligence-Based Computing for Second Order Singular Periodic Non-linear Boundary Value Problems. Front. Phys, 8, p.224. (I.F: 3.718)


    [31] Zulqurnain Sabir, Ali Imran, Muhammad Umar, Muhammad Zeb, Muhammad Shoaib, and Muhammad Asif Zahoor Raja. 2020. A numerical approach for two-dimensional Sutterby fluid flow bounded at a stagnation point with an inclined magnetic field and thermal radiation impacts. Thermal Science, (00), pp.186-186. (I.F: 1.62)


    [30] Muhammad Umar, Zulqurnain Sabir, Ali Imran, Abdul Hafiz Wahab, Muhammad Shoaib, and Muhammad Asif Zahoor Raja. 2020. The 3-D flow of Casson nanofluid over a stretched sheet with chemical reactions, velocity slip, thermal radiation and Brownian motion. Thermal Science, 24(5 Part A), pp.2929-2939. (I.F: 1.62)


    [29] Bukhari, Ayaz Hussain, Muhammad Asif Zahoor Raja, Muhammad Sulaiman, Saeed Islam, Muhammad Shoaib, and Poom Kumam. 2020. Fractional neuro-sequential ARFIMA-LSTM for financial market forecasting. IEEE Access, 8, pp.71326-71338. I.F 3.48.


    [28] Imran, Ali, Rizwan Akhtar, Zhu Zhiyu, Muhammad Shoaib, and Muhammad Asif Zahoor Raja. 2020. Heat transfer analysis of biological nanofluid flow through ductus efferentes. AIP Advances, 10(3), p.035029. (I.F: 1.697)


    [27] Waseem Waseem, Muhammad Sulaiman, Saeed Islam, Poom Kumam, Rashid Nawaz, Muhammad Asif Zahoor Raja, Muhammad Farooq, Muhammad Shoaib, 2020. A study of changes in temperature profile of porous fin model using cuckoo search algorithm. Alexandria Engineering Journal, 59(1), pp.11-24.

    (I.F: 6.626)


    [26] Faisal, F., Shoaib, M. and Raja, M.A.Z., 2020. A new heuristic computational solver for nonlinear singular Thomas–Fermi system using evolutionary optimized cubic splines. The European Physical Journal Plus, 135(1), pp.1-29.

    (I.F: 3.76)


    [25] Ayaz Hussain Bukhari, Muhammad Sulaiman, Saeed Islam, Muhammad Shoaib, Poom Kumam Muhammad Asif Zahoor Raja, 2020. Neuro-fuzzy modeling and prediction of summer precipitation with application to different meteorological stations. Alexandria Engineering Journal, 59(1), pp.101-116.  (I.F: 6.626)

    [24] Rana, M.A., Ali, Y., Shoaib, M. and Numan, M., 2019. Magnetohydrodynamic Three-Dimensional Couette Flow of a Second-Grade Fluid with Sinusoidal Injection/Suction. Journal of Engineering Thermophysics, 28(1), pp.138-162. (I.F: 2.03)

     

    [23] I. Ahmad. H. Ilyas, A. Urooj, M. S. Aslam, Muhammad Shoaib, M.A.Z. Raja, 2019. Novel applications of intelligent computing paradigms for the analysis of nonlinear reactive transport model of the fluid in soft tissues and microvessels. Neural Computing and Applications, 31(12), pp.9041-9059. (I.F: 5.10)

     

    [22] Shoaib, M., Akhtar, R., Khan, M.A.R., Rana, M.A., Siddiqui, A.M., Zhiyu, Z. and Raja, M.A.Z., 2019. A Novel Design of Three-Dimensional MHD Flow of Second-Grade Fluid past a Porous Plate. Mathematical Problems in Engineering, 2019. (I.F: 1.30) 


    [21] Imran, A., Akhtar, R., Zhiyu, Z., Shoaib, M. and Raja, M.A.Z., 2019. Analysis of MHD and heat transfer effects with variable viscosity through ductus efferences. AIP Advances, 9(8), p.085320. (I.F: 1.54)

    .

    [20] Imran, A., Akhtar, R., Zhiyu, Z., Shoaib, M. and Zahoor Raja, M.A., 2019. MHD and heat transfer analyses of a fluid flow through scraped surface heat exchanger by analytical solver. AIP Advances, 9(7), p.075201. (I.F: 1.697)


    [19] Sabir, Z., Akhtar, R., Zhiyu, Z., Umar, M., Imran, A., Wahab, H.A., Shoaib, M. and Raja, M.A.Z., 2019. A Computational Analysis of Two-Phase Casson Nanofluid Passing a Stretching Sheet Using Chemical Reactions and Gyrotactic Microorganisms. Mathematical Problems in Engineering, 2019. (I.F: 1.43)


    [18] Uddin, I., Akhtar, R., Zhiyu, Z., Islam, S., Shoaib, M. and Raja, M.A.Z., 2019. Numerical Treatment for Darcy-Forchheimer Flow of Sisko Nanomaterial with Nonlinear Thermal Radiation by Lobatto IIIA Technique. Mathematical Problems in Engineering, 2019. (I.F: 1.43)


    [17] Umar, M., Akhtar, R., Sabir, Z., Wahab, H.A., Zhiyu, Z., Imran, A., Shoaib, M. and Raja, M.A.Z., 2019. Numerical Treatment for the Three-Dimensional Eyring-Powell Fluid Flow over a Stretching Sheet with Velocity Slip and Activation Energy. Advances in Mathematical Physics, 2019. (I.F: 1.36).


    [16] Uddin, I., Akhtar, R., Khan, M.A.R., Zhiyu, Z., Islam, S., Shoaib, M. and Raja, M.A.Z., 2019. Numerical treatment for fluidic system of activation energy with non-linear mixed convective and radiative flow of magneto nanomaterials with Navier’s velocity slip. AIP Advances, 9(5), p.055210. (I.F: 1.697).

    2018

    [15] Sadia Siddiqa, Naheed Begham, Md. Anwar Hossain, M. Shoaib and Rama Subba Reddy Golra, 2018. Radiative heat transfer analysis of non-Newtonian dusty Casson fluid flow along a complex wavy surface. Numerical Heat Transfer, Part A: Applications, 73(4), pp.209-221. (I.F: 2.57).


    [14] Rana, M.A., Ali, Y. and Shoaib, M., 2018. Three-dimensional Couette flow of a Jeffrey fluid along periodic injection/suction. Arabian Journal of Mathematics, 7(3), pp.229-247. . I.F: 6.79.


    [13] Ali, Y., Rana, M.A. and Shoaib, M., 2018. Perturbation Analyses of Three-Dimensional Flow of a Maxwell Fluid with Sinusoidal Injection/Suction. Journal of Nanofluids, 7(6), pp.1101-1112. I.F: 1.79


    [12] R. Tajammal, M. A. Rana, N. Z. Khan, M. Shoaib, 2018, January. Slip effect on combined heat and mass transfer in three dimensional MHD porous flow having heat. In 2018 15th International Bhurban Conference on Applied Sciences and Technology (IBCAST) (pp. 635-644). IEEE.

    2017

    [11] Afnan Hossain Nagoor, Eman Salem Alaidarous, Muhammad Touseef Sabir, Muhammad Shoaib, and Muhammad Asif Zahoor Raja. 2017. Three-dimensional rotating flow of carbon nanotubes with Darcy-Forchheimer porous medium. PLoS One, 12(7), p.e0179576. (I.F: 3.752).


    [10] Shahab Ud Din Khan, Salah Ud-Din Khan, Song Yuntao, Mahmood Ul Hassan, M. Shoaib, Ghulam Farid, Development and Verification of computer model for control of plasma and halo current in EAST Tokama, 27th IEEE Symposium on Fusion Engineering (SOFE), (2017) (Accepted).


    [9] M. Imran, A. M. Siddiqui, M. A. Rana and M. Shoaib 2017. Flow of second grade fluid in a scraped surface heat exchanger. Journal of Food Process Engineering, 40(2), p.e12393. (I.F: 2.89).


    [8] M. A. Rana, Y. Ali and M. Shoaib, 2017, January. Three-dimensional flow of an upper convected Maxwell fluid between two horizontal parallel porous plates with periodic injection/suction. In 2017 14th International Bhurban Conference on Applied Sciences and Technology (IBCAST) (pp. 561-568). IEEE.


    [7] M. Shoaib, R. Perveen and M. A. Rana, 2017, January. Slip effect on three dimensional mhd flow of viscous fluid along an infinite plane with periodic suction. In 2017 14th International Bhurban Conference on Applied Sciences and Technology (IBCAST) (pp. 575-580). IEEE.


    [6] M. Shoaib, M. A. Rana and A. M. Siddiqui, 2017. Three-dimensional flow of Jeffrey fluid along an infinite plane wall with periodic suction. Meccanica, 52(11), pp.2705-2714. (I.F: 2.54)


    [5] M. Shoaib, M. A. Rana and A. M. Siddiqui, 2017. The effect of slip condition on the three-dimensional flow of Jeffrey fluid along a plane wall with periodic suction. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 39(7), pp.2495-2503. (I.F: 2.36).


    [4] M. A. Rana, Y. Ali and M. Shoaib, “Effect of magneto hydrodynamic on three-dimensional Second grade fluid between two horizontal porous plates with periodic suction/injection “International conference on computing and Mathematical Sciences. (February 2017) (Accepted).

    2016

    [3] M. Shoaib, M. A. Rana, A. M. Siddiqui, (2016) “Three-dimensional flow of upper convected Maxwell fluid along an infinite plane wall with periodic suction”, Journal of Computational and Theoretical Nanoscience, 13(8), 5247-5253, (I.F: 1.67).


    [2] M. Shoaib, A. M. Siddiqui, M. A. Rana and M. Imran, 2016. Three-dimensional flow of a second-grade fluid along an infinite horizontal plane wall with periodic suction. American Scientific Research Journal for Engineering, Technology, and Sciences (ASRJETS), 18(1), pp.153-170. (I.F: 0.391).


    [1] M. Shoaib, M. A. Rana, A. M. Siddiqui and M. Darus, (2016) Three-dimensional magneto hydrodynamics flow of upper convected Maxwell fluid along an infinite plane wall with periodic suction, Journal (Journal of computational and theoretical nanoscience), 13(9), 1-9 (I.F: 1.67 ).


    List of Accepted Papers

     Ten papers have been accepted.


    AppList of Submissions

    Approximately 60 research articles have been submitted in different International Journals of repute.

  • 得獎事蹟

    1. COMSATS University Islamabad, Pakistan has honored me for achieving recognition among the top 2% of scientists worldwide in the Mendeley Data, V4 ranking released by Stanford University for the year 2022.
    2. Top researcher in COMSATS University Islamabad, Attock Campus in the last two years 2021 and 2022.
    3. Yuan Ze University, Taiwan has graciously acknowledged my achievement of being recognized among the top 2% of scientists worldwide in the prestigious Mendeley Data, V4 ranking released by Stanford University for the year 2023 and 2024.
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