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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:

A consensual machine-learning-assisted QSAR model for effective bioactivity prediction of xanthine oxidase inhibitors using molecular fingerprints
Yanling Wu, Menglong Li, Jinru Shen, et al.
Molecular Diversity (2023) Vol. 28, Iss. 4, pp. 2033-2048
Closed Access | Times Cited: 8

Showing 8 citing articles:

Progress of machine learning in the application of small molecule druggability prediction
Junyao Li, Jianmei Zhang, Rui Guo, et al.
European Journal of Medicinal Chemistry (2025) Vol. 285, pp. 117269-117269
Closed Access | Times Cited: 1
Emerging Urate-Lowering Drugs and Pharmacologic Treatment Strategies for Gout: A Narrative Review
Robert Terkeltaub
Drugs (2023) Vol. 83, Iss. 16, pp. 1501-1521
Closed Access | Times Cited: 29
Exploring the artificial intelligence and machine learning models in the context of drug design difficulties and future potential for the pharmaceutical sectors
Periyasamy Natarajan Shiammala, N. Duraimutharasan, Baskaralingam Vaseeharan, et al.
Methods (2023) Vol. 219, pp. 82-94
Closed Access | Times Cited: 18
Artificial intelligence in antidiabetic drug discovery: The advances in QSAR and the prediction of α-glucosidase inhibitors
Adeshina I. Odugbemi, Clement N. Nyirenda, Alan Christoffels, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 2964-2977
Open Access | Times Cited: 5
The future of pharmaceuticals: Artificial intelligence in drug discovery and development
Chen Fu, Qi Chen
Journal of Pharmaceutical Analysis (2025), pp. 101248-101248
Open Access
Virtual-screening of xanthine oxidase inhibitory peptides: Inhibition mechanisms and prediction of activity using machine-learning
Qian Chen, Yuxi Ge, Xiaoyu He, et al.
Food Chemistry (2024) Vol. 460, pp. 140741-140741
Closed Access | Times Cited: 3
Attention Mechanism-Based Graph Neural Network Model for Effective Activity Prediction of SARS-CoV-2 Main Protease Inhibitors: Application to Drug Repurposing as Potential COVID-19 Therapy
Yanling Wu, Kun Li, Menglong Li, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 22, pp. 7011-7031
Closed Access | Times Cited: 3
Explainable artificial intelligence in the design of selective carbonic anhydrase I‐II inhibitors via molecular fingerprinting
Kevser Kübra Kırboğa, Mesut Işık
Journal of Computational Chemistry (2024) Vol. 45, Iss. 18, pp. 1530-1539
Closed Access
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