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:

A Review of Artificial Intelligence Methods in Predicting Thermophysical Properties of Nanofluids for Heat Transfer Applications
A. N. Basu, Aritra Saha, Sumanta Banerjee, et al.
Energies (2024) Vol. 17, Iss. 6, pp. 1351-1351
Open Access | Times Cited: 10

Showing 10 citing articles:

The Numerical Simulation of the Transient Plane Heat Source Method to Measure the Thermophysical Properties of Materials
Jianyuan Sun, Siwen Zhang, Pengcheng Shi, et al.
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 544-544
Open Access

Recent advances of helical baffle heat exchangers: Principles, structural optimization, application and beyond
Lin Cheng, Zhan Liu, Huaduo Gu, et al.
Applied Thermal Engineering (2025), pp. 126390-126390
Closed Access

A comprehensive review of Empirical, Theoretical, and AI-Based approaches for the prediction of surface tension of nanofluids
Mahmoud Mahmoudi Marjanian, Saeed Ghasemzade Bariki, Mohammad Amin Sobati, et al.
Journal of Molecular Liquids (2025), pp. 127508-127508
Closed Access

Nanofluids for Heat Transfer: Advances in Thermo-Physical Properties, Theoretical Insights, and Engineering Applications
Ashan Induranga, Chanaka Galpaya, Vimukthi Vithanage, et al.
Energies (2025) Vol. 18, Iss. 8, pp. 1935-1935
Open Access

Performance evaluation of various training functions using ANN to predict the thermal conductivity of EG/water-based GNP/CNC hybrid nanofluid for heat transfer application
Md Munirul Hasan, M.M. Rahman, Suraya Abu Bakar, et al.
Journal of Thermal Analysis and Calorimetry (2025)
Closed Access

Applying different machine learning algorithms to predict the viscosity behavior of MWCNT–alumina/water–ethylene glycol (80:20) hybrid antifreeze
Shaymaa Abed Hussein, Ihab Omar, Ali B. Saddam, et al.
International Journal of Thermofluids (2024) Vol. 24, pp. 100966-100966
Open Access | Times Cited: 2

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: 2

Prediction of Thermal Conductivity of EG–Al2O3 Nanofluids Using Six Supervised Machine Learning Models
Tongwei Zhu, Xiancheng Mei, Jiamin Zhang, et al.
Applied Sciences (2024) Vol. 14, Iss. 14, pp. 6264-6264
Open Access | Times Cited: 1

Similarity transform-based numerical analysis of natural convection over an inclined flat plate using nanofluid*
Sumanta Banerjee, Sourav Kumar Panja
Indian Chemical Engineer (2024), pp. 1-22
Closed Access

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