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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:

Machine learning models for classification tasks related to drug safety
Anita Rácz, Dávid Bajusz, Ramón Alain Miranda‐Quintana, et al.
Molecular Diversity (2021) Vol. 25, Iss. 3, pp. 1409-1424
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

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
A Review of CYP-Mediated Drug Interactions: Mechanisms and In Vitro Drug-Drug Interaction Assessment
Jong‐Hwa Lee, Jessica L. Beers, Raeanne M. Geffert, et al.
Biomolecules (2024) Vol. 14, Iss. 1, pp. 99-99
Open Access | Times Cited: 24
Comparison of Descriptor- and Fingerprint Sets in Machine Learning Models for ADME-Tox Targets
Álmos Orosz, Károly Héberger, Anita Rácz
Frontiers in Chemistry (2022) Vol. 10
Open Access | Times Cited: 46
Artificial Intelligence in Drug Discovery and Development
Kit‐Kay Mak, Yi-Hang Wong, Mallikarjuna Rao Pichika
Springer eBooks (2023), pp. 1-38
Closed Access | Times Cited: 35
Artificial Intelligence in Drug Discovery and Development
Kit‐Kay Mak, Yi-Hang Wong, Mallikarjuna Rao Pichika
Springer eBooks (2024), pp. 1461-1498
Closed Access | Times Cited: 16
Predicting blood–brain barrier permeability of molecules with a large language model and machine learning
Eddie Huang, Jai‐Sing Yang, Ken Ying-Kai Liao, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 15
Advancing toxicity studies of per- and poly-fluoroalkyl substances (pfass) through machine learning: Models, mechanisms, and future directions
Lingxuan Meng, Beihai Zhou, Haijun Liu, et al.
The Science of The Total Environment (2024) Vol. 946, pp. 174201-174201
Closed Access | Times Cited: 10
Diversity and Chemical Library Networks of Large Data Sets
Timothy B. Dunn, Gustavo Seabra, Taewon David Kim, et al.
Journal of Chemical Information and Modeling (2021) Vol. 62, Iss. 9, pp. 2186-2201
Closed Access | Times Cited: 48
Success stories of AI in drug discovery - where do things stand?
Kit‐Kay Mak, Madhu Katyayani Balijepalli, Mallikarjuna Rao Pichika
Expert Opinion on Drug Discovery (2021) Vol. 17, Iss. 1, pp. 79-92
Closed Access | Times Cited: 43
Molecular Dynamics Simulations and Diversity Selection by Extended Continuous Similarity Indices
Anita Rácz, Levente M. Mihalovits, Dávid Bajusz, et al.
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 14, pp. 3415-3425
Open Access | Times Cited: 38
An Explainable Supervised Machine Learning Model for Predicting Respiratory Toxicity of Chemicals Using Optimal Molecular Descriptors
Keerthana Jaganathan, Hilal Tayara, Kil To Chong
Pharmaceutics (2022) Vol. 14, Iss. 4, pp. 832-832
Open Access | Times Cited: 33
Emerging frontiers in virtual drug discovery: From quantum mechanical methods to deep learning approaches
Christoph Gorgulla, Abhilash Jayaraj, Konstantin Fackeldey, et al.
Current Opinion in Chemical Biology (2022) Vol. 69, pp. 102156-102156
Open Access | Times Cited: 33
Application of machine learning in drug side effect prediction: databases, methods, and challenges
Haochen Zhao, Jian Zhong, Xiao Liang, et al.
Frontiers of Computer Science (2024) Vol. 19, Iss. 5
Open Access | Times Cited: 7
Extended continuous similarity indices: theory and application for QSAR descriptor selection
Anita Rácz, Timothy B. Dunn, Dávid Bajusz, et al.
Journal of Computer-Aided Molecular Design (2022) Vol. 36, Iss. 3, pp. 157-173
Open Access | Times Cited: 27
Machine Learning Advances in Predicting Peptide/Protein‐Protein Interactions Based on Sequence Information for Lead Peptides Discovery
Jiahao Ye, Li An, Hao Zheng, et al.
Advanced Biology (2023) Vol. 7, Iss. 6
Closed Access | Times Cited: 13
Photodegradation of polychlorinated biphenyls in water/nitrogen-doped silica and air/nitrogen-doped silica systems: Kinetics, mechanism and quantitative structure activity relationship (QSAR) analysis
Wenqian Cao, Nannan Wu, Shengnan Zhang, et al.
The Science of The Total Environment (2024) Vol. 924, pp. 171586-171586
Closed Access | Times Cited: 4
In silico screening to search for selective sodium channel blockers: When size matters
Maximiliano José Fallico, Lucas N. Alberca, Nicolás Enrique, et al.
Brain Research (2025), pp. 149571-149571
Closed Access
Novel target identification towards drug repurposing based on biological activity profiles
Binghan Xue, Yanji Xu, Ruili Huang, et al.
PLoS ONE (2025) Vol. 20, Iss. 5, pp. e0319865-e0319865
Open Access
Artificial Intelligence and Machine Learning for Lead-to-Candidate Decision-Making and Beyond
Douglas McNair
The Annual Review of Pharmacology and Toxicology (2022) Vol. 63, Iss. 1, pp. 77-97
Open Access | Times Cited: 16
ProfhEX: AI-based platform for small molecules liability profiling
Filippo Lunghini, Anna Fava, Vincenzo Pisapia, et al.
Journal of Cheminformatics (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 8
Physicochemical QSAR analysis of hERG inhibition revisited: towards a quantitative potency prediction
Kiril Lanevskij, Remigijus Didžiapetris, Andrius Sazonovas
Journal of Computer-Aided Molecular Design (2022) Vol. 36, Iss. 12, pp. 837-849
Closed Access | Times Cited: 12
In Silico Prediction of Oral Acute Rodent Toxicity Using Consensus Machine Learning
Sebastian Schieferdecker, Florian Rottach, Esther Vock
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 8, pp. 3114-3122
Closed Access | Times Cited: 2
Machine learning and deep learning approaches for enhanced prediction of hERG blockade: a comprehensive QSAR modeling study
Jie Liu, Md Kamrul Hasan Khan, Wenjing Guo, et al.
Expert Opinion on Drug Metabolism & Toxicology (2024) Vol. 20, Iss. 7, pp. 665-684
Closed Access | Times Cited: 2
Quantitative Retention (Structure)–Activity Relationships in Predicting the Pharmaceutical and Toxic Properties of Potential Pesticides
Małgorzata Janicka, Anna Śliwińska
Molecules (2022) Vol. 27, Iss. 11, pp. 3599-3599
Open Access | Times Cited: 8
Machine Learning for Ionization Potentials and Photoionization Cross Sections of Volatile Organic Compounds
Matthew Stewart, Scot T. Martin
ACS Earth and Space Chemistry (2023) Vol. 7, Iss. 4, pp. 863-875
Open Access | Times Cited: 4
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