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Computer Science
Taiwan
2026
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Mathematics
Taiwan
2026

D-Index & Metrics

Computer Science

D-Index
74
Citations
16711
World Ranking
1524
National Ranking
7

Mathematics

D-Index
74
Citations
16647
World Ranking
222
National Ranking
2

Research.com Recognitions

  • 2026 - Research.com Computer Science in Taiwan Leader Award
  • 2026 - Research.com Mathematics in Taiwan Leader Award
  • 2025 - Research.com Computer Science in Taiwan Leader Award
  • 2025 - Research.com Mathematics in Taiwan Leader Award

Overview

Muhammad Asif Zahoor Raja is affiliated with the National Yunlin University of Science and Technology in Taiwan. Their research primarily focuses on engineering, with a significant contribution to subfields such as biomedical engineering, computational mechanics, modeling and simulation, mechanical engineering, and artificial intelligence.

The scientist's recent papers include the following:

  • Fractional Neuro-Sequential ARFIMA-LSTM for Financial Market Forecasting, 2020, IEEE Access
  • Numerical investigation for rotating flow of MHD hybrid nanofluid with thermal radiation over a stretching sheet, 2020, Scientific Reports
  • A novel wavenets long short term memory paradigm for wind power prediction, 2020, Applied Energy
  • A stochastic computational intelligent solver for numerical treatment of mosquito dispersal model in a heterogeneous environment, 2020, The European Physical Journal Plus
  • Novel design of Morlet wavelet neural network for solving second order Lane-Emden equation, 2020, Mathematics and Computers in Simulation

Muhammad Asif Zahoor Raja frequently collaborates with other researchers, including:

  • Muhammad Shoaib
  • Zulqurnain Sabir
  • Kottakkaran Sooppy Nisar
  • Naveed Ishtiaq Chaudhary

Their research contributions have been published extensively in various venues, notably:

  • Waves in Random and Complex Media
  • Chaos Solitons & Fractals
  • The European Physical Journal Plus
  • Computers, materials & continua/Computers, materials & continua (Print)
  • Alexandria Engineering Journal

The main topics covered in their research include:

  • Nanofluid Flow and Heat Transfer
  • Fluid Dynamics and Turbulent Flows
  • Fractional Differential Equations Solutions
  • Heat Transfer Mechanisms
  • COVID-19 epidemiological studies
  • Heat Transfer and Optimization
  • Mathematical and Theoretical Epidemiology and Ecology Models

The body of work demonstrates a focus on advanced mathematical and computational approaches in engineering contexts, with interdisciplinary applications spanning environmental modeling and epidemiology. Muhammad Asif Zahoor Raja's publication record and frequent collaboration with other scientists contribute to ongoing research in both theoretical and applied engineering sciences.

Best Publications

  • Fractional Neuro-Sequential ARFIMA-LSTM for Financial Market Forecasting

    Ayaz Hussain Bukhari;Muhammad Asif Zahoor Raja;Muhammad Sulaiman;Saeed Islam

  • Numerical investigation for rotating flow of MHD hybrid nanofluid with thermal radiation over a stretching sheet.

    Muhammad Shoaib;Muhammad Asif Zahoor Raja;Muhammad Asif Zahoor Raja;Muhammad Touseef Sabir;Saeed Islam

  • Intelligent and robust prediction of short term wind power using genetic programming based ensemble of neural networks

    Aneela Zameer;Junaid Arshad;Asifullah Khan;Muhammad Asif Zahoor Raja

  • Neuro-heuristics for nonlinear singular Thomas-Fermi systems

    Zulqurnain Sabir;Muhammad Anwaar Manzar;Muhammad Asif Zahoor Raja;Muhammad Sheraz

  • A novel wavenets long short term memory paradigm for wind power prediction

    Farah Shahid;Aneela Zameer;Ammara Mehmood;Muhammad Asif Zahoor Raja

  • Novel design of Morlet wavelet neural network for solving second order Lane-Emden equation

    Zulqurnain Sabir;Hafiz Abdul Wahab;Muhammad Umar;Mehmet Giyas Sakar

  • A new stochastic computing paradigm for the dynamics of nonlinear singular heat conduction model of the human head

    Muhammad Asif Zahoor Raja;Muhammad Umar;Zulqurnain Sabir;Junaid Ali Khan

  • A stochastic computational intelligent solver for numerical treatment of mosquito dispersal model in a heterogeneous environment

    Muhammad Umar;Muhammad Asif Zahoor Raja;Muhammad Asif Zahoor Raja;Zulqurnain Sabir;Afaf S. Alwabli

  • Intelligent computing for numerical treatment of nonlinear prey–predator models

    Muhammad Umar;Zulqurnain Sabir;Muhammad Asif Zahoor Raja

  • Stochastic numerical technique for solving HIV infection model of CD4+ T cells

    Muhammad Umar;Zulqurnain Sabir;Fazli Amin;Juan L. G. Guirao

  • A stochastic numerical analysis based on hybrid NAR-RBFs networks nonlinear SITR model for novel COVID-19 dynamics.

    Muhammad Shoaib;Muhammad Asif Zahoor Raja;Muhammad Touseef Sabir;Ayaz Hussain Bukhari

  • Design of neuro-swarming-based heuristics to solve the third-order nonlinear multi-singular Emden–Fowler equation

    Zulqurnain Sabir;Muhammad Asif Zahoor Raja;Muhammad Asif Zahoor Raja;Muhammad Umar;Muhammad Shoaib

  • Intelligent computing with Levenberg-Marquardt artificial neural networks for nonlinear system of COVID-19 epidemic model for future generation disease control.

    Tahir Nawaz Cheema;Muhammad Asif Zahoor Raja;Muhammad Asif Zahoor Raja;Iftikhar Ahmad;Shafaq Naz

  • A Stochastic Intelligent Computing with Neuro-Evolution Heuristics for Nonlinear SITR System of Novel COVID-19 Dynamics

    Muhammad Umar;Zulqurnain Sabir;Muhammad Asif Zahoor Raja;Muhammad Shoaib

  • An efficient computational intelligence approach for solving fractional order Riccati equations using ANN and SQP

    Muhammad Asif Zahoor Raja;Muhammad Anwaar Manzar;Raza Samar

  • Novel applications of intelligent computing paradigms for the analysis of nonlinear reactive transport model of the fluid in soft tissues and microvessels

    Iftikhar Ahmad;Hira Ilyas;Aysha Urooj;Muhammad Saeed Aslam

  • A new adaptive strategy to improve online secondary path modeling in active noise control systems using fractional signal processing approach

    Muhammad Saeed Aslam;Muhammad Asif Zahoor Raja

  • The design of intelligent networks for entropy generation in Ree-Eyring dissipative fluid flow system along quartic autocatalysis chemical reactions

    Unknown

  • Neural network methods to solve the Lane–Emden type equations arising in thermodynamic studies of the spherical gas cloud model

    Iftikhar Ahmad;Muhammad Asif Zahoor Raja;Muhammad Bilal;Farooq Ashraf

  • 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

    Muhammad Shoaib;Muhammad Asif Zahoor Raja;Muhammad Asif Zahoor Raja;Muhammad Touseef Sabir;Muhammad Awais

  • Solution of the one-dimensional Bratu equation arising in the fuel ignition model using ANN optimised with PSO and SQP

    Muhammad Asif Zahoor Raja

  • Fractional neural network models for nonlinear Riccati systems

    Sadia Lodhi;Muhammad Anwaar Manzar;Muhammad Asif Zahoor Raja

Frequent Co-Authors

Poom Kumam
Poom Kumam King Mongkut's University of Technology Thonburi
Saeed Islam
Saeed Islam Abdul Wali Khan University Mardan
Abdul-Majid Wazwaz
Abdul-Majid Wazwaz Saint Xavier University
Juan Luis García Guirao
Juan Luis García Guirao Polytechnic University of Cartagena
Dumitru Baleanu
Dumitru Baleanu Lebanese American University
J. A. Tenreiro Machado
J. A. Tenreiro Machado Polytechnic Institute of Porto
Chaudry Masood Khalique
Chaudry Masood Khalique North-West University
Sai Ho Ling
Sai Ho Ling University of Technology Sydney
Asifullah Khan
Asifullah Khan Pakistan Institute of Engineering and Applied Sciences
Muhammad Awais
Muhammad Awais University of Surrey

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