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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 (Re)-Evolution of Quantitative Structure–Activity Relationship (QSAR) Studies Propelled by the Surge of Machine Learning Methods
Thereza A. Soares, Ariane Nunes‐Alves, Angelica Mazzolari, et al.
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 22, pp. 5317-5320
Closed Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

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: 144
Past, Present, and Future Perspectives on Computer-Aided Drug Design Methodologies
Davide Bassani, Stefano Moro
Molecules (2023) Vol. 28, Iss. 9, pp. 3906-3906
Open Access | Times Cited: 49
Advances in artificial intelligence for drug delivery and development: A comprehensive review
Amol D. Gholap, Md Jasim Uddin, Md. Faiyazuddin, et al.
Computers in Biology and Medicine (2024) Vol. 178, pp. 108702-108702
Closed Access | Times Cited: 20
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
Equivariant Graph Neural Networks for Toxicity Prediction
Julian Cremer, Leonardo Medrano Sandonas, Alexandre Tkatchenko, et al.
Chemical Research in Toxicology (2023)
Open Access | Times Cited: 25
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: 7
Current Status of Emerging Contaminant Models and Their Applications Concerning the Aquatic Environment: A Review
Zhuang Liu, Yonghai Gan, Jun Luo, et al.
Water (2025) Vol. 17, Iss. 1, pp. 85-85
Open Access
Design Principles From Natural Olfaction for Electronic Noses
Haritosh Patel, Vicente Garrido Portilla, Anna V. Shneidman, et al.
Advanced Science (2025)
Open Access
Combined Computational Techniques for Discovery of Novel Pyrazolo[3,4‐d]pyrimidine Derivatives as PAK1 Inhibitors
Vivek Asati, Shankar Gupta, Gurkaran Singh Baweja, et al.
ChemistrySelect (2025) Vol. 10, Iss. 6
Closed Access
QSAR, Antimicrobial, and Antiproliferative Study of (R/S)-2-Thioxo-3,4-dihydropyrimidine-5-carboxanilides
Mehul P. Parmar, Anwesha Das, Disha P. Vala, et al.
ACS Omega (2025)
Open Access
Guidance for good practice in the application of machine learning in development of toxicological quantitative structure-activity relationships (QSARs)
Samuel J. Belfield, Mark T.D. Cronin, Steven J. Enoch, et al.
PLoS ONE (2023) Vol. 18, Iss. 5, pp. e0282924-e0282924
Open Access | Times Cited: 18
A breast cancer-specific combinational QSAR model development using machine learning and deep learning approaches
Anush Karampuri, Perugu Shyam
Frontiers in Bioinformatics (2024) Vol. 3
Open Access | Times Cited: 4
Decoding Nanomaterial‐Biosystem Interactions through Machine Learning
Sagar Dhoble, Tzu‐Hsien Wu, Kenry Kenry
Angewandte Chemie International Edition (2024) Vol. 63, Iss. 16
Closed Access | Times Cited: 4
Applications of conceptual density functional theory in reference to quantitative structure–activity / property relationship
Pooja Sharma, Prabhat Ranjan, Tanmoy Chakraborty
Molecular Physics (2024) Vol. 122, Iss. 23
Open Access | Times Cited: 3
A review of transformers in drug discovery and beyond
Jian Jiang, Long Chen, Ke Lü, et al.
Journal of Pharmaceutical Analysis (2024), pp. 101081-101081
Open Access | Times Cited: 3
AlphaFold2 in Molecular Discovery
Ariane Nunes‐Alves, Kenneth M. Merz
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 19, pp. 5947-5949
Closed Access | Times Cited: 8
Pharmaceutical Advances: Integrating Artificial Intelligence in QSAR, Combinatorial and Green Chemistry Practices
Baljit Singh, Michelle Crasto, Kamna Ravi, et al.
Intelligent Pharmacy (2024) Vol. 2, Iss. 5, pp. 598-608
Open Access | Times Cited: 2
HydraScreen: A Generalizable Structure-Based Deep Learning Approach to Drug Discovery
Alvaro Prat, Hisham Abdel Aty, Orestis Bastas, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 15, pp. 5817-5831
Open Access | Times Cited: 2
Evaluation of QSAR models for tissue-specific predictive toxicology and risk assessment of military-relevant chemical exposures: A systematic review
Jennifer L. Fisher, Kelly T. Williams, L.J. Schneider, et al.
Computational Toxicology (2024), pp. 100329-100329
Closed Access | Times Cited: 2
Unlocking the Potential: Predicting Redox Behavior of Organic Molecules, from Linear Fits to Neural Networks
Rostislav Fedorov, Ganna Gryn’ova
Journal of Chemical Theory and Computation (2023) Vol. 19, Iss. 15, pp. 4796-4814
Closed Access | Times Cited: 7
Quantitative Systems Pharmacology and Machine Learning: A Match Made in Heaven or Hell?
Marcus J. Tindall, L. Cucurull-Sanchez, Hitesh Mistry, et al.
Journal of Pharmacology and Experimental Therapeutics (2023) Vol. 387, Iss. 1, pp. 92-99
Open Access | Times Cited: 7
Advances in QSAR through artificial intelligence and machine learning methods
Chandrabose Selvaraj, Elakkiya Elango, Paulraj Prabhu, et al.
Elsevier eBooks (2023), pp. 101-116
Closed Access | Times Cited: 5
Goal-directed molecule generation with fine-tuning by policy gradient
Chunli Sha, Fei Zhu
Expert Systems with Applications (2024) Vol. 246, pp. 123127-123127
Closed Access | Times Cited: 1
Decoding Nanomaterial‐Biosystem Interactions through Machine Learning
Sagar Dhoble, Tzu‐Hsien Wu, Kenry Kenry
Angewandte Chemie (2024) Vol. 136, Iss. 16
Closed Access | Times Cited: 1
Metric Ion Classification (MIC): A deep learning tool for assigning ions and waters in cryo-EM and x-ray crystallography structures
Laura Shub, Wenjin Liu, Georgios Skiniotis, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
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