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OpenAlex Citation Counts

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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:

Application of machine learning for thermal exchange of dissipative ternary nanofluid over a stretchable wavy cylinder with thermal slip
Hamid Qureshi, Amjad Ali Pasha, Zahoor Shah, et al.
Case Studies in Thermal Engineering (2024) Vol. 60, pp. 104599-104599
Open Access | Times Cited: 16

Showing 16 citing articles:

Artificial intelligence-based analysis employing Levenberg Marquardt neural networks to study chemically reactive thermally radiative tangent hyperbolic nanofluid flow considering Darcy-Forchheimer theory
Hamid Qureshi, Usman Khaliq, Zahoor Shah, et al.
Journal of Radiation Research and Applied Sciences (2025) Vol. 18, Iss. 1, pp. 101253-101253
Closed Access | Times Cited: 2
Supervised machine learning computing paradigm to measure melting and dissipative effects in entropy induced Darcy–Forchheimer flow with ternary-hybrid nanofluids
Hamid Qureshi, Zahoor Shah, Muhammad Asif Zahoor Raja, et al.
Numerical Heat Transfer Part B Fundamentals (2024), pp. 1-22
Closed Access | Times Cited: 14
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
Paradigm on Levenberg–Marquardt neural algorithm analysis of heat conduction optimization for ternary hybrid nanofluid with entropy generation
Hamid Qureshi, Zahoor Shah, Muhammad Asif Zahoor Raja, et al.
ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik (2024)
Closed Access | Times Cited: 4
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: 4
Artificial intelligence analysis of thermal energy for convectively heated ternary nanofluid flow in radiated channel considering viscous dissipations aspects
Hamid Qureshi, Amjad Ali Pasha, Muhammad Asif Zahoor Raja, et al.
Engineering Science and Technology an International Journal (2025) Vol. 62, pp. 101955-101955
Open Access
Machine learning investigation with neural network modelling for Sutterby Multi-hybrid fluid in Biomedical treatments
Hamid Qureshi, Zahoor Shah, Waqar Azeem Khan, et al.
Results in Engineering (2025), pp. 104427-104427
Open Access
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
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
Novel design of artificial intelligence-based neural networks for the dynamics of magnetized chemically reactive Darcy–Forchheimer nanofluid flow
Zohaib Arshad, Zahoor Shah, Muhammad Asif Zahoor Raja, et al.
Journal of Thermal Analysis and Calorimetry (2024) Vol. 149, Iss. 24, pp. 15243-15276
Closed Access | Times Cited: 1
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: 1
Python-based machine learning procedure for radiative Sutterby multiple-hybrid nanofluid flow comprising features of chemical processes
Hamid Qureshi, Sultan-ul-Arfeen, Waqar Azeem Khan, et al.
Journal of Radiation Research and Applied Sciences (2024) Vol. 18, Iss. 1, pp. 101258-101258
Closed Access | Times Cited: 1
Convective heat transfer analysis of hybrid nanofluid over shrinking/stretching surfaces with velocity slip
Ahmed M. Galal, Fahad M. Alharbi, Mubashar Arshad, et al.
Journal of Thermal Analysis and Calorimetry (2024)
Closed Access
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
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