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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 and artificial intelligence in physiologically based pharmacokinetic modeling
Wei-Chun Chou, Zhoumeng Lin
Toxicological Sciences (2022) Vol. 191, Iss. 1, pp. 1-14
Open Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

Artificial Intelligence in Pharmaceutical Technology and Drug Delivery Design
Lalitkumar K. Vora, Amol D. Gholap, Keshava Jetha, et al.
Pharmaceutics (2023) Vol. 15, Iss. 7, pp. 1916-1916
Open Access | Times Cited: 383
Machine Learning and Artificial Intelligence in Toxicological Sciences
Zhoumeng Lin, Wei-Chun Chou
Toxicological Sciences (2022) Vol. 189, Iss. 1, pp. 7-19
Open Access | Times Cited: 70
Revolutionizing drug formulation development: The increasing impact of machine learning
Zeqing Bao, Jack Bufton, Riley J. Hickman, et al.
Advanced Drug Delivery Reviews (2023) Vol. 202, pp. 115108-115108
Closed Access | Times Cited: 51
The Role of “Physiologically Based Pharmacokinetic Model (PBPK)” New Approach Methodology (NAM) in Pharmaceuticals and Environmental Chemical Risk Assessment
Deepika Deepika, Vikas Kumar
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 4, pp. 3473-3473
Open Access | Times Cited: 45
An artificial intelligence-assisted physiologically-based pharmacokinetic model to predict nanoparticle delivery to tumors in mice
Wei-Chun Chou, Qiran Chen, Long Yuan, et al.
Journal of Controlled Release (2023) Vol. 361, pp. 53-63
Open Access | Times Cited: 40
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: 33
Machine intelligence-accelerated discovery of all-natural plastic substitutes
Tianle Chen, Zhenqian Pang, Shuaiming He, et al.
Nature Nanotechnology (2024) Vol. 19, Iss. 6, pp. 782-791
Open Access | Times Cited: 28
Revolutionizing Drug Discovery: A Comprehensive Review of AI Applications
Rushikesh Dhudum, Ankit Ganeshpurkar, Atmaram Pawar
Drugs and Drug Candidates (2024) Vol. 3, Iss. 1, pp. 148-171
Open Access | Times Cited: 23
AI-Driven Parametrization of Michaelis-Menten Maximal Velocity: Advancing in silico New Approach Methodologies (NAMs)
Achilleas Karakoltzidis, Spyros Karakitsios, Dimosthenis Sarigiannis
NAM journal. (2025), pp. 100012-100012
Open Access | Times Cited: 1
A Machine Learning Model to Estimate Toxicokinetic Half-Lives of Per- and Polyfluoro-Alkyl Substances (PFAS) in Multiple Species
Daniel E. Dawson, Christopher Lau, Prachi Pradeep, et al.
Toxics (2023) Vol. 11, Iss. 2, pp. 98-98
Open Access | Times Cited: 27
Advancing Drug Safety in Drug Development: Bridging Computational Predictions for Enhanced Toxicity Prediction
Ana M. B. Amorim, Luiz F. Piochi, Ana Teresa Gaspar, et al.
Chemical Research in Toxicology (2024) Vol. 37, Iss. 6, pp. 827-849
Open Access | Times Cited: 12
The Artificial Intelligence-Driven Pharmaceutical Industry: A Paradigm Shift in Drug Discovery, Formulation Development, Manufacturing, Quality Control, and Post-Market Surveillance
Kampanart Huanbutta, Kanokporn Burapapadh, Pakorn Kraisit, et al.
European Journal of Pharmaceutical Sciences (2024) Vol. 203, pp. 106938-106938
Open Access | Times Cited: 9
Predicting tissue distribution and tumor delivery of nanoparticles in mice using machine learning models
Kun Mi, Wei-Chun Chou, Qiran Chen, et al.
Journal of Controlled Release (2024) Vol. 374, pp. 219-229
Open Access | Times Cited: 8
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
Pharmacokinetics and tumor delivery of nanoparticles
Long Yuan, Qiran Chen, Jim E. Riviere, et al.
Journal of Drug Delivery Science and Technology (2023) Vol. 83, pp. 104404-104404
Open Access | Times Cited: 17
Utility of life stage-specific chemical risk assessments based on New Approach Methodologies (NAMs)
Pavani K. Gonnabathula, Me-Kyoung Choi, Miao Li, et al.
Food and Chemical Toxicology (2024) Vol. 190, pp. 114789-114789
Closed Access | Times Cited: 6
Physiologically Based Pharmacokinetic (PBPK) Modeling of small molecules: How Much Progress Have We Made?
Nina Isoherranen
Drug Metabolism and Disposition (2024) Vol. 53, Iss. 1, pp. 100013-100013
Open Access | Times Cited: 5
Food-derived bioactive peptides: The gateway to reach the full potential of food proteins for human health
Ilekuttige Priyan Shanura Fernando, Jianping Wu
Trends in Food Science & Technology (2025) Vol. 157, pp. 104896-104896
Closed Access
The Comparison of Machine Learning and Mechanistic In Vitro–In Vivo Extrapolation Models for the Prediction of Human Intrinsic Clearance
Christopher Keefer, George Chang, Li Di, et al.
Molecular Pharmaceutics (2023) Vol. 20, Iss. 11, pp. 5616-5630
Closed Access | Times Cited: 14
A Combination of Machine Learning and PBPK Modeling Approach for Pharmacokinetics Prediction of Small Molecules in Humans
Yuelin Li, Zonghu Wang, Yuru Li, et al.
Pharmaceutical Research (2024) Vol. 41, Iss. 7, pp. 1369-1379
Open Access | Times Cited: 4
How can quantum computing be applied in clinical trial design and optimization?
Hakan Doğa, Aritra Bose, Mehmet Şahin, et al.
Trends in Pharmacological Sciences (2024) Vol. 45, Iss. 10, pp. 880-891
Open Access | Times Cited: 4
Machine Learning for Prediction of Drug Concentrations: Application and Challenges
Shuqi Huang, Qihan Xu, Guoping Yang, et al.
Clinical Pharmacology & Therapeutics (2025)
Closed Access
Advancing exposure science through artificial intelligence: Neural ordinary differential equations for predicting blood concentrations of volatile organic compounds
Laurent Simon
Ecotoxicology and Environmental Safety (2025) Vol. 292, pp. 117928-117928
Open Access
Augmented allometric scaling: Predicting drug clearance in farm animals with machine learning using body weight
David Inauen, L.S. Lautz, Jan C.M. Hendriks, et al.
Computational Toxicology (2025), pp. 100341-100341
Closed Access
Chemical risk assessment in food animals via physiologically based pharmacokinetic modeling – Part II: Environmental pollutants on animal and human health assessments
Kun Mi, Zhoumeng Lin
Environment International (2025), pp. 109372-109372
Open Access
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