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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:

Utilizing graph machine learning within drug discovery and development
Thomas Gaudelet, Ben Day, Arian R. Jamasb, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Open Access | Times Cited: 187

Showing 1-25 of 187 citing articles:

Computational approaches streamlining drug discovery
Anastasiia Sadybekov, Vsevolod Katritch
Nature (2023) Vol. 616, Iss. 7958, pp. 673-685
Open Access | Times Cited: 564
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Michael M. Bronstein, Joan Bruna, Taco Cohen, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 443
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: 178
Graph representation learning in biomedicine and healthcare
Michelle M. Li, Kexin Huang, Marinka Žitnik
Nature Biomedical Engineering (2022) Vol. 6, Iss. 12, pp. 1353-1369
Open Access | Times Cited: 160
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: 148
A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju, Zheng Fang, Yiyang Gu, et al.
Neural Networks (2024) Vol. 173, pp. 106207-106207
Open Access | Times Cited: 131
A review of biomedical datasets relating to drug discovery: a knowledge graph perspective
Stephen Bonner, Ian P. Barrett, Cheng Ye, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 6
Open Access | Times Cited: 86
Scoring Functions for Protein-Ligand Binding Affinity Prediction Using Structure-based Deep Learning: A Review
Rocco Meli, Garrett M. Morris, Philip C. Biggin
Frontiers in Bioinformatics (2022) Vol. 2
Open Access | Times Cited: 77
Deep learning methods for drug response prediction in cancer: Predominant and emerging trends
Alexander Partin, Thomas Brettin, Yitan Zhu, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 71
Artificial Intelligence in Pharmaceutical Sciences
Mingkun Lu, Jiayi Yin, Qi Zhu, et al.
Engineering (2023) Vol. 27, pp. 37-69
Open Access | Times Cited: 65
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing
Yue Tan, Yixin Liu, Guodong Long, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 8, pp. 9953-9961
Open Access | Times Cited: 64
From machine learning to deep learning: Advances of the recent data-driven paradigm shift in medicine and healthcare
Chiranjib Chakraborty, Manojit Bhattacharya, Soumen Pal, et al.
Current Research in Biotechnology (2023) Vol. 7, pp. 100164-100164
Open Access | Times Cited: 63
Generative AI for designing and validating easily synthesizable and structurally novel antibiotics
Kyle Swanson, Gary Liu, Denise B. Catacutan, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 3, pp. 338-353
Closed Access | Times Cited: 50
Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities
Chuang Liu, Yibing Zhan, Jia Wu, et al.
(2023), pp. 6712-6722
Open Access | Times Cited: 48
Advances in Artificial Intelligence (AI)-assisted approaches in drug screening
Samvedna Singh, Himanshi Gupta, Priyanshu Sharma, et al.
Artificial Intelligence Chemistry (2023) Vol. 2, Iss. 1, pp. 100039-100039
Open Access | Times Cited: 42
Artificial Intelligence (AI) Applications in Drug Discovery and Drug Delivery: Revolutionizing Personalized Medicine
Dolores R. Serrano, Francis C. Luciano, Brayan J. Anaya, et al.
Pharmaceutics (2024) Vol. 16, Iss. 10, pp. 1328-1328
Open Access | Times Cited: 42
MACHINE LEARNING IN DRUG DISCOVERY: A CRITICAL REVIEW OF APPLICATIONS AND CHALLENGES
Francisca Chibugo Udegbe, Ogochukwu Roseline Ebulue, Charles Chukwudalu Ebulue, et al.
Computer Science & IT Research Journal (2024) Vol. 5, Iss. 4, pp. 892-902
Open Access | Times Cited: 36
Machine Learning and Deep Learning in Synthetic Biology: Key Architectures, Applications, and Challenges
Manoj Kumar Goshisht
ACS Omega (2024) Vol. 9, Iss. 9, pp. 9921-9945
Open Access | Times Cited: 27
Translation between Molecules and Natural Language
Carl K. Edwards, Tuan Lai, Kevin Ros, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 58
Understanding the performance of knowledge graph embeddings in drug discovery
Stephen Bonner, Ian P. Barrett, Cheng Ye, et al.
Artificial Intelligence in the Life Sciences (2022) Vol. 2, pp. 100036-100036
Open Access | Times Cited: 42
Compound–protein interaction prediction by deep learning: Databases, descriptors and models
Bing-Xue Du, Yuan Qin, Yanfeng Jiang, et al.
Drug Discovery Today (2022) Vol. 27, Iss. 5, pp. 1350-1366
Closed Access | Times Cited: 42
Machine learning enabled customization of performance-oriented hydrogen storage materials for fuel cell systems
Panpan Zhou, Xuezhang Xiao, Xinyu Zhu, et al.
Energy storage materials (2023) Vol. 63, pp. 102964-102964
Closed Access | Times Cited: 33
CycPeptMPDB: A Comprehensive Database of Membrane Permeability of Cyclic Peptides
Jianan Li, Keisuke Yanagisawa, Masatake Sugita, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 7, pp. 2240-2250
Open Access | Times Cited: 31
A Survey on Malware Detection with Graph Representation Learning
Tristan Bilot, Nour El Madhoun, Khaldoun Al Agha, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 11, pp. 1-36
Open Access | Times Cited: 14
A review of mechanistic learning in mathematical oncology
John Metzcar, Catherine R. Jutzeler, Paul Macklin, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 13
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