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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:

The transformational role of GPU computing and deep learning in drug discovery
Mohit Pandey, Michael Fernández, Francesco Gentile, et al.
Nature Machine Intelligence (2022) Vol. 4, Iss. 3, pp. 211-221
Open Access | Times Cited: 162

Showing 1-25 of 162 citing articles:

Computational approaches streamlining drug discovery
Anastasiia Sadybekov, Vsevolod Katritch
Nature (2023) Vol. 616, Iss. 7958, pp. 673-685
Open Access | Times Cited: 511
Machine Learning Methods for Small Data Challenges in Molecular Science
Bozheng Dou, Zailiang Zhu, Ekaterina Merkurjev, et al.
Chemical Reviews (2023) Vol. 123, Iss. 13, pp. 8736-8780
Open Access | Times Cited: 157
AI in drug discovery and its clinical relevance
Rizwan Qureshi, Muhammad Irfan, Taimoor Muzaffar Gondal, et al.
Heliyon (2023) Vol. 9, Iss. 7, pp. e17575-e17575
Open Access | Times Cited: 135
Artificial intelligence for natural product drug discovery
Michael W. Mullowney, Katherine Duncan, Somayah S. Elsayed, et al.
Nature Reviews Drug Discovery (2023) Vol. 22, Iss. 11, pp. 895-916
Closed Access | Times Cited: 125
Integrating QSAR modelling and deep learning in drug discovery: the emergence of deep QSAR
Alexander Tropsha, Olexandr Isayev, Alexandre Varnek, et al.
Nature Reviews Drug Discovery (2023) Vol. 23, Iss. 2, pp. 141-155
Closed Access | Times Cited: 91
Machine learning for synergistic network pharmacology: a comprehensive overview
Fatima Noor, Muhammad Asif, Usman Ali Ashfaq, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 3
Closed Access | Times Cited: 74
Application of Computational Biology and Artificial Intelligence in Drug Design
Yue Zhang, Mengqi Luo, Peng Wu, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 21, pp. 13568-13568
Open Access | Times Cited: 66
Application of Molecular Simulation Methods in Food Science: Status and Prospects
Yuandong Yu, Shiqi Xu, Ran He, et al.
Journal of Agricultural and Food Chemistry (2023) Vol. 71, Iss. 6, pp. 2684-2703
Closed Access | Times Cited: 50
Democratizing artificial intelligence: How no-code AI can leverage machine learning operations
Leif Sundberg, Jonny Holmström
Business Horizons (2023) Vol. 66, Iss. 6, pp. 777-788
Open Access | Times Cited: 48
In Pursuit of the Exceptional: Research Directions for Machine Learning in Chemical and Materials Science
Joshua Schrier, Alexander J. Norquist, Tonio Buonassisi, et al.
Journal of the American Chemical Society (2023) Vol. 145, Iss. 40, pp. 21699-21716
Open Access | Times Cited: 44
PINN neural network method for solving the forward and inverse problem of time-fractional telegraph equation
Fan Yang, Hao Liu, Xiaoxiao Li, et al.
Results in Engineering (2025), pp. 103997-103997
Open Access | Times Cited: 1
Targeting SARS-CoV-2 papain-like protease in the postvaccine era
Anh‐Tien Ton, Mohit Pandey, Jason R. Smith, et al.
Trends in Pharmacological Sciences (2022) Vol. 43, Iss. 11, pp. 906-919
Open Access | Times Cited: 38
Deep learning facilitates multi-data type analysis and predictive biomarker discovery in cancer precision medicine
Vivek Bhakta Mathema, Partho Sen, Santosh Lamichhane, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 1372-1382
Open Access | Times Cited: 37
Drug repurposing for viral cancers: A paradigm of machine learning, deep learning, and virtual screening‐based approaches
Faheem Ahmed, In Suk Kang, Kyung Hwan Kim, et al.
Journal of Medical Virology (2023) Vol. 95, Iss. 4
Closed Access | Times Cited: 36
First fully-automated AI/ML virtual screening cascade implemented at a drug discovery centre in Africa
Gemma Turón, Jason Hlozek, John G. Woodland, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 35
A systematic review of computational approaches to understand cancer biology for informed drug repurposing
Faheem Ahmed, Anupama Samantasinghar, Afaque Manzoor Soomro, et al.
Journal of Biomedical Informatics (2023) Vol. 142, pp. 104373-104373
Open Access | Times Cited: 33
Edge AI for Internet of Energy: Challenges and perspectives
Yassine Himeur, Aya Nabil Sayed, Abdullah Alsalemi, et al.
Internet of Things (2023) Vol. 25, pp. 101035-101035
Open Access | Times Cited: 26
Motion Capture Technology in Sports Scenarios: A Survey
Xiang Suo, Weidi Tang, Zhen Li
Sensors (2024) Vol. 24, Iss. 9, pp. 2947-2947
Open Access | Times Cited: 9
A primer on the use of machine learning to distil knowledge from data in biological psychiatry
Thomas P. Quinn, Jonathan Hess, Victoria S. Marshe, et al.
Molecular Psychiatry (2024) Vol. 29, Iss. 2, pp. 387-401
Closed Access | Times Cited: 8
The emergence of machine learning force fields in drug design
Mingan Chen, Xinyu Jiang, Lehan Zhang, et al.
Medicinal Research Reviews (2024) Vol. 44, Iss. 3, pp. 1147-1182
Closed Access | Times Cited: 7
Understanding gut microbiome‐based machine learning platforms: A review on therapeutic approaches using deep learning
Shilpa Malakar, Priya Sutaoney, Harishkumar Madhyastha, et al.
Chemical Biology & Drug Design (2024) Vol. 103, Iss. 3
Closed Access | Times Cited: 7
Geometric deep learning for drug discovery
Mingquan Liu, Chunyan Li, Ruizhe Chen, et al.
Expert Systems with Applications (2023) Vol. 240, pp. 122498-122498
Closed Access | Times Cited: 20
Molecular Generative Model via Retrosynthetically Prepared Chemical Building Block Assembly
Seonghwan Seo, Jaechang Lim, Woo Youn Kim
Advanced Science (2023) Vol. 10, Iss. 8
Open Access | Times Cited: 18
Operational greenhouse-gas emissions of deep learning in digital pathology: a modelling study
Alireza Vafaei Sadr, Roman D. Bülow, Saskia von Stillfried, et al.
The Lancet Digital Health (2023) Vol. 6, Iss. 1, pp. e58-e69
Open Access | Times Cited: 15
Deciphering the Lexicon of Protein Targets: A Review on Multifaceted Drug Discovery in the Era of Artificial Intelligence
Suvendu Nandi, Soumyadeep Bhaduri, Debraj Das, et al.
Molecular Pharmaceutics (2024) Vol. 21, Iss. 4, pp. 1563-1590
Closed Access | Times Cited: 6
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