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:

Designing desalination MXene membranes by machine learning and global optimization algorithm
Xuanchao Ma, Chengyi Lan, Haoran Lin, et al.
Journal of Membrane Science (2024) Vol. 702, pp. 122803-122803
Closed Access | Times Cited: 7

Showing 7 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: 12

MXenes and its composite structures: synthesis, properties, applications, 3D/4D printing, and artificial intelligence; machine learning integration
Vimukthi Dananjaya, Nethmi Hansika, Sathish Marimuthu, et al.
Progress in Materials Science (2025), pp. 101433-101433
Open Access | Times Cited: 1

Machine learning in membrane science: Bridging materials, structures, and performance for next-generation membrane design
Lijun Liang, Dan Lu, Yuhuan Qin, et al.
Separation and Purification Technology (2025), pp. 133091-133091
Closed Access

Molecular Dynamics Analysis of Li+/Mg2+ Transport Mechanism in COF Membranes with Flexible Oxygen-Containing Side Chains
Jianguo Li, Qiang Xie, Chen Chen, et al.
Journal of Membrane Science (2024), pp. 123577-123577
Closed Access | Times Cited: 1

Optimizing sustainable desalination plants with advanced ML-based uncertainty analysis
Sani I. Abba, Jamilu Usman, Abdullah Bafaqeer, et al.
Applied Soft Computing (2024), pp. 112624-112624
Closed Access | Times Cited: 1

Machine Learning-Based Model Prediction of an Adsorption Desalination System and Investigation of the Impact of Parameters on the System’s Outputs
Taleb Zarei, Masoud Chatavi, Masoud H. Nazari, et al.
Water (2024) Vol. 16, Iss. 24, pp. 3700-3700
Open Access | Times Cited: 1

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