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 Intelligence-Machine Learning Algorithms for the Simulation of Combustion Thermal Analysis
Arunim Bhattacharya, Pradip Majumdar
Heat Transfer Engineering (2023) Vol. 45, Iss. 2, pp. 176-193
Closed Access | Times Cited: 13

Showing 13 citing articles:

An artificial intelligence model for heat and mass transfer in an inclined cylindrical annulus with heat generation/absorption and chemical reaction
B. Shilpa, V. Leela
International Communications in Heat and Mass Transfer (2023) Vol. 147, pp. 106956-106956
Closed Access | Times Cited: 28

Leveraging Artificial Intelligence for Enhanced Sustainable Energy Management
Swapandeep Kaur, Raman Kumar, Kanwardeep Singh, et al.
Journal of Sustainability for Energy (2024) Vol. 3, Iss. 1, pp. 1-20
Open Access | Times Cited: 11

Data-driven optimization of turbulent kinetic energy and tumble-y in combustion engines: A comparative study of machine learning models
Amirali Shateri, Zhiyin Yang, Yun Liu, et al.
Fuel (2025) Vol. 389, pp. 134590-134590
Open Access | Times Cited: 1

From big data to intelligent libraries: Leveraging analytics for enhanced user experiences
Akinade Adebowale Adewojo, Aderinola Ololade Dunmade
Business Information Review (2024) Vol. 41, Iss. 3, pp. 104-109
Closed Access | Times Cited: 2

Optimizing heat transfer predictions in HCNG engines: A novel model validation and comparative study via quasi-dimensional combustion modeling and artificial neural networks
Muhammad Ihsan Shahid, Anas Rao, Muhammad Farhan, et al.
International Journal of Hydrogen Energy (2024) Vol. 83, pp. 1263-1281
Closed Access | Times Cited: 2

Prediction of the capacitance of the corn drying process parameter using adaptive- neuro-fuzzy intelligent technique with experimental validation
Emel Çelik, Mehmet Aki̇f Koç, Nezaket Parlak, et al.
Drying Technology (2023) Vol. 42, Iss. 1, pp. 90-113
Closed Access | Times Cited: 4

Construction and Application of a Neuromorphic Circuit With Excitatory and Inhibitory Post-Synaptic Conduction Channels Implemented Using Dual-Gate Thin-Film Transistors
Yushen Hu, T. Ho, Tengteng Lei, et al.
IEEE Transactions on Circuits and Systems I Regular Papers (2024) Vol. 71, Iss. 4, pp. 1582-1589
Closed Access | Times Cited: 1

Influence of Chemical and Radiation on an Unsteady MHD Oscillatory Flow using Artificial Neural Network (ANN)
R. Kavitha, Mahen Mahendran
WSEAS TRANSACTIONS ON FLUID MECHANICS (2024) Vol. 19, pp. 142-149
Closed Access

A Brief Review of Key Technologies for Cloud-Based Battery Management Systems
Dan Wu, Xu Zhihong, Qingli Wang, et al.
Journal of Electronic Materials (2024) Vol. 53, Iss. 12, pp. 7334-7354
Closed Access

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