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:

Machine learning enabled rational design of atomic catalysts for electrochemical reactions
Lianping Wu, Teng Li
Materials Chemistry Frontiers (2023) Vol. 7, Iss. 19, pp. 4445-4459
Closed Access | Times Cited: 7

Showing 7 citing articles:

Computational chemistry for water-splitting electrocatalysis
Licheng Miao, Wenqi Jia, Xuejie Cao, et al.
Chemical Society Reviews (2024) Vol. 53, Iss. 6, pp. 2771-2807
Closed Access | Times Cited: 51

Rare earth modified carbon-based catalysts for oxygen electrode reactions: A machine learning assisted density functional theory investigation
Qiming Fu, Tao Xu, Daomiao Wang, et al.
Carbon (2024) Vol. 223, pp. 119045-119045
Closed Access | Times Cited: 21

Rational design of single transition-metal atoms anchored on a PtSe2 monolayer as bifunctional OER/ORR electrocatalysts: a defect chemistry and machine learning study
S.L. Yue, Dongying Li, Aodi Zhang, et al.
Journal of Materials Chemistry A (2024) Vol. 12, Iss. 9, pp. 5451-5463
Closed Access | Times Cited: 16

A review on the modification strategies of transition metal based bifunctional electrocatalysts for air-cathode in zinc-air batteries
Kalsoom Zahra, Tayyaba Nооr, Naseem Iqbal, et al.
Journal of Energy Storage (2024) Vol. 88, pp. 111565-111565
Closed Access | Times Cited: 10

AI in single-atom catalysts: a review of design and applications
Qiumei Yu, Ninggui Ma, Chihon Leung, et al.
Journal of Materials Informatics (2025) Vol. 5, Iss. 1
Open Access | Times Cited: 1

Navigating challenges and opportunities of machine learning in hydrogen catalysis and production processes: beyond algorithm development
Mohd Nur Ikhmal Salehmin, Tiong Sieh Kiong, Hassan Mohamed, et al.
Journal of Energy Chemistry (2024) Vol. 99, pp. 223-252
Closed Access | Times Cited: 6

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