OpenAlex Citation Counts

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:

Machine learning approaches for the prediction of hydrogen uptake in metal-organic-frameworks: A comprehensive review
Aryan Anil Yamde, Vikesh G. Lade, Ankush B. Bindwal, et al.
International Journal of Hydrogen Energy (2024) Vol. 98, pp. 1131-1154
Closed Access | Times Cited: 3

Showing 3 citing articles:

Return on values of hydrogen energy transitions: A perspective on the conceptual framework
M. A. Hannan, Mahendhiran.S. Nair, Pervaiz K. Ahmed, et al.
Technology in Society (2025), pp. 102821-102821
Closed Access | Times Cited: 1

A study on first hydrogenation mechanism and microstructural features of hyper-eutectic Mg–Ni hydrogen storage alloy
Da Hye Lee, Sung Yong Jung, Byeong‐Chan Suh, et al.
International Journal of Hydrogen Energy (2025) Vol. 120, pp. 110-118
Closed Access

Predicting the hydrogen storage capacity of alumina pillared interlayer clays using interpretable ensemble machine learning
Makungu Madirisha, Lenganji Simwanda, Regina P. Mtei
International Journal of Hydrogen Energy (2025) Vol. 120, pp. 354-364
Closed Access

Data-Driven Explainable Machine Learning Approaches for Predicting Hydrogen Adsorption in Porous Crystalline Materials
Hung Vo Thanh, Zhenxue Dai, Mohammad Rahimi
Journal of Alloys and Compounds (2025), pp. 180709-180709
Closed Access

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Requested Article:

Showing 3 citing articles:

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