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:

Development of advanced hybrid mechanistic-artificial intelligence computational model for learning of numerical data of flow in porous membranes
Hongwang Zhao, Sameer Alshehri
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106910-106910
Closed Access | Times Cited: 9

Showing 9 citing articles:

Machine learning for the advancement of membrane science and technology: A critical review
Gergő Ignácz, Lana Bader, Aron K. Beke, et al.
Journal of Membrane Science (2024) Vol. 713, pp. 123256-123256
Open Access | Times Cited: 10

Computational modeling of nanofluid heat transfer using Fuzzy-based bee algorithm and machine learning method
Hongwang Zhao
Case Studies in Thermal Engineering (2024) Vol. 54, pp. 104021-104021
Open Access | Times Cited: 7

Heavy metals removal from wastewater using nanoporous adsorbent: Separation analysis via machine learning model
Abdulrhman Fahmi Alali
Case Studies in Thermal Engineering (2024) Vol. 59, pp. 104501-104501
Open Access | Times Cited: 3

Development of a mathematical model for investigation of hollow-fiber membrane contactor for membrane distillation desalination
Yang Yang, Cristian Germán Santiana Espín, Mohsin O. AL-Khafaji, et al.
Journal of Molecular Liquids (2024) Vol. 404, pp. 124907-124907
Closed Access | Times Cited: 2

Configuration of multi-stage membrane process towards effective separation of C, N and P from real-life biogas slurry: Design, optimization and analysis
Yuchen Sun, Yang Xu, Z. Z. Zhang, et al.
Chemical Engineering Science (2024), pp. 120970-120970
Closed Access

Machine learning-driven predictive modeling of magnetohydrodynamic double diffusion of non-Newtonian hybrid ferrofluids with variable thermophysical properties within corrugated cylinders
Jawad Ibn Ahad, Md. Mamun Molla, Sadia Siddiqa, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 141, pp. 109455-109455
Closed Access

Integration of CFD and machine learning for application in water treatment process modeling: Membrane ozonation process evaluation
F. Zhang
Chemometrics and Intelligent Laboratory Systems (2024), pp. 105302-105302
Closed Access

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