Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Stochastic supervised networks for numerical treatment of Eyring–Powell nanofluid model with Darcy Forchheimer slip flow involving bioconvection and nonlinear thermal radiation
Zahoor Shah, Muhammad Asif Zahoor Raja, Muhammad Shoaib, et al.
Modern Physics Letters B (2024) Vol. 39, Iss. 02
Closed Access | Times Cited: 8

Showing 8 citing articles:

A multi-layer neural network-based evaluation of MHD radiative heat transfer in Eyring–Powell fluid model
Muflih Alhazmi, Zahoor Shah, Muhammad Asif Zahoor Raja, et al.
Heliyon (2025) Vol. 11, Iss. 3, pp. e41800-e41800
Open Access | Times Cited: 1
Artificial intelligence-based procedure to analyze heat transfer features for chemically reactive Darcy-Forchheimer flow of magnetized tetra-hybrid nanofluid capturing joule heating aspects through stenotic artery
Zohaib Arshad, Emad Ghandourah, Muhammad Asif Zahoor Raja, et al.
Tribology International (2025) Vol. 206, pp. 110532-110532
Closed Access | Times Cited: 1
Influence of activation energy in steady state hydro dynamic non-Newtonian nano fluid with mobile microorganisms
G. Dharmaiah, B. Shankar Goud, Thadakamalla Srinivasulu, et al.
Results in Chemistry (2024) Vol. 9, pp. 101653-101653
Open Access | Times Cited: 6
Multilayer deep-learning intelligent computing for the numerical analysis of unsteady heat and mass transfer in MHD Carreau Nanofluid model
Zahoor Shah, Mohammed Alreshoodi, Muhammad Asif Zahoor Raja, et al.
Case Studies in Thermal Engineering (2024), pp. 105369-105369
Open Access | Times Cited: 6
Optimizing heat transportation features of magneto-Carreau nanofluid flow through novel machine learning algorithm with the immersion of chemical process for inclined cylindrical surface
Chenxu Duan, Amjad Ali Pasha, Zahoor Shah, et al.
Tribology International (2025), pp. 110619-110619
Closed Access
Deep learning multilayer architecture for analysis of three-dimensional Eyring-Powell nanofluid flow subject to viscous dissipation and joule heating
Zahoor Shah, Muflih Alhazmi, Mohammad Jawaid, et al.
Results in Engineering (2025), pp. 104842-104842
Open Access
Investigating the radiative heat transfer analysis of magnetized Cross fluid flow capturing variable properties around paraboloid surface using artificial intelligence stochastic approach
Yabin Shao, Zohaib Arshad, Neyara Radwan, et al.
Chaos Solitons & Fractals (2024) Vol. 191, pp. 115887-115887
Closed Access | Times Cited: 2
Stochastic computing with Levenberg-Marquardt neural networks for the study of radiative transportation phenomena in three-dimensional Carreau nanofluid model subjected to activation energy and porous medium
Zahoor Shah, Muhammad Asif Zahoor Raja, Faisal Shahzad, et al.
Chemical Engineering Journal Advances (2024) Vol. 20, pp. 100639-100639
Open Access | Times Cited: 1
Deep learning multilayer stochastic intelligent computing for the analysis of irregular heat source of Carreau nanofluid within the vicinity of an exponentially expanding cylinder
Zahoor Shah, Nafisa A. Albasheir, Muhammad Asif Zahoor Raja, et al.
Tribology International (2024) Vol. 203, pp. 110389-110389
Closed Access
Page 1

Scroll to top