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:

Artificial neural networks strategy to analyze the magnetohydrodynamics Casson-Maxwell nanofluid flow through the cone and disc system space
Taghreed A. Assiri, Taza Gul, Zeeshan Khan, et al.
International Journal of Heat and Fluid Flow (2024) Vol. 107, pp. 109406-109406
Closed Access | Times Cited: 9

Showing 9 citing articles:

Energy transfer aspects of chemically reactive Casson fluid between a conical gap of cone-disk system with multiple rotations
Mudassar Qamar, Mohammad Amir Khan, A.S. Alqahtani, et al.
Results in Engineering (2025) Vol. 25, pp. 104222-104222
Open Access

Artificial neural networks framework for investigating Hall and ion slip dynamics in Prandtl nanofluids using non-Fourier heat and mass transfer models
Muhammad Idrees Afridi, Shazia Habib, Bandar Almohsen, et al.
Chaos Solitons & Fractals (2025) Vol. 196, pp. 116408-116408
Closed Access

A numerical simulation of unsteady dissipative MHD Casson nanofluid transport over an inverted cone with variable heat source/consumption and high order of reacting species
L. Joseph Sademaki, B. Prabhakar Reddy, M. Paul Matao
Multiscale and Multidisciplinary Modeling Experiments and Design (2025) Vol. 8, Iss. 5
Closed Access

AI driven RNN approach for investigation of thermal features in magneto-radiative nanofluid under random microbial movement
Sidra Saqib, Yin-Tzer Shih, Muhammad Wajahat Anjum, et al.
Alexandria Engineering Journal (2025) Vol. 125, pp. 152-166
Closed Access

Quantitative analysis of Maxwell fluid flow with dual diffusion through the variable porous canonical gap using artificial neural network approach
Arshad Khan, Fuad A. Awwad, Emad A. A. Ismail, et al.
Colloid & Polymer Science (2024) Vol. 302, Iss. 9, pp. 1423-1450
Closed Access | Times Cited: 3

The neural networking strategy results in the tri‐hybrid nanofluid flowing over a slippery flat plate to act as an antimicrobial agent through solar radiation
Mohammad Ajmal, Taza Gul, Fahad M. Almutairi, et al.
ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik (2024) Vol. 104, Iss. 11
Closed Access | Times Cited: 2

Darcy–Forchheimer hybrid nanofluid flow in a squeezing inclined channel for drug delivery applications by means of artificial neural network
Wajdi Alghamdi, Taza Gul
Multidiscipline Modeling in Materials and Structures (2024)
Closed Access | Times Cited: 2

Regression modeling of Bödewadt slip flow dynamics involving Reiner-Rivlin nanofluid based on a modified Buongiorno approach
Tayyaba Ibrahim, M. Mustafa, Junaid Ahmad Khan, et al.
Physica Scripta (2024) Vol. 99, Iss. 10, pp. 105042-105042
Closed Access

Evaluation of heat transfer characteristics of a rectangular grooved heat exchanger under magnetic field using artificial neural network
Sergen Tümse, Atakan Tantekin, Mehmet Bilgili, et al.
International Journal of Heat and Fluid Flow (2024) Vol. 112, pp. 109712-109712
Closed Access

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