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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:

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

Showing 1-25 of 40 citing articles:

Alternatives of Animal Models for Biomedical Research: a Comprehensive Review of Modern Approaches
Abhinav Vashishat, Preeti Patel, Ghanshyam Das Gupta, et al.
Stem Cell Reviews and Reports (2024) Vol. 20, Iss. 4, pp. 881-899
Closed Access | Times Cited: 16
Revolutionizing Prostate Cancer Therapy: Artificial intelligence – based Nanocarriers for Precision Diagnosis and Treatment
Moein Shirzad, Afsaneh Salahvarzi, Sobia Razzaq, et al.
Critical Reviews in Oncology/Hematology (2025), pp. 104653-104653
Closed Access | Times Cited: 1
Computational Nanotoxicology Models for Environmental Risk Assessment of Engineered Nanomaterials
Weihao Tang, Xuejiao Zhang, Huixiao Hong, et al.
Nanomaterials (2024) Vol. 14, Iss. 2, pp. 155-155
Open Access | Times Cited: 11
Artificial Intelligence in nanotechnology for treatment of diseases
Soroush Heydari, Niloofar Masoumi, Erfan Esmaeeli, et al.
Journal of drug targeting (2024) Vol. 32, Iss. 10, pp. 1247-1266
Closed Access | Times Cited: 11
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
Exploring the potential and challenges of developing physiologically-based toxicokinetic models to support human health risk assessment of microplastic and nanoplastic particles
Chi‐Yun Chen, Zhoumeng Lin
Environment International (2024) Vol. 186, pp. 108617-108617
Open Access | Times Cited: 7
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
Meta-Analysis of Nanoparticle Distribution in Tumors and Major Organs in Tumor-Bearing Mice
Qiran Chen, Long Yuan, Wei-Chun Chou, et al.
ACS Nano (2023) Vol. 17, Iss. 20, pp. 19810-19831
Open Access | Times Cited: 21
Exploring the artificial intelligence and machine learning models in the context of drug design difficulties and future potential for the pharmaceutical sectors
Periyasamy Natarajan Shiammala, N. Duraimutharasan, Baskaralingam Vaseeharan, et al.
Methods (2023) Vol. 219, pp. 82-94
Closed Access | Times Cited: 18
Exploring and Analyzing the Systemic Delivery Barriers for Nanoparticles
Lin Wang, Skyler Quine, Alex N. Frickenstein, et al.
Advanced Functional Materials (2023) Vol. 34, Iss. 8
Closed Access | Times Cited: 18
Two heads are better than one: Unravelling the potential Impact of Artificial Intelligence in nanotechnology
Gaurav Gopal Naik, Vijay A. Jagtap
Nano TransMed (2024) Vol. 3, pp. 100041-100041
Open Access | Times Cited: 6
Computer-aided nanodrug discovery: recent progress and future prospects
Jia‐Jia Zheng, Qiao-Zhi Li, Zhenzhen Wang, et al.
Chemical Society Reviews (2024) Vol. 53, Iss. 18, pp. 9059-9132
Open 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
Design strategies, advances and future perspectives of colon-targeted delivery systems for the treatment of inflammatory bowel disease
Baoxin Zheng, Liping Wang, Yan Yi, et al.
Asian Journal of Pharmaceutical Sciences (2024) Vol. 19, Iss. 4, pp. 100943-100943
Open Access | Times Cited: 5
Artificial intelligence in tumor drug resistance: Mechanisms and treatment prospects
Jianyou Gu, Junfeng Zhang, Silüe Zeng, et al.
(2025)
Closed Access
Covalent Organic Frameworks: Opportunities for Rational Materials Design in Cancer Therapy
Lele Zhou, Qun Guan, Yu‐Bin Dong
Angewandte Chemie International Edition (2023) Vol. 63, Iss. 8
Closed Access | Times Cited: 15
Nanotechnology and Artificial Intelligence in Cancer Treatment
Yashdeep Mukheja, Kashish Pal, Akanksha Ahuja, et al.
Next research. (2025), pp. 100179-100179
Closed Access
Advances in medical devices using nanomaterials and nanotechnology: Innovation and regulatory science
Chubing Lin, Xin Huang, Yueguang Xue, et al.
Bioactive Materials (2025) Vol. 48, pp. 353-369
Closed Access
Applications of Artificial Intelligence in Drug Repurposing
Zhaoman Wan, Xinran Sun, Yi Li, et al.
Advanced Science (2025)
Open Access
AI-Driven Innovations in Smart Multifunctional Nanocarriers for Drug and Gene Delivery: A Mini-Review
H. Noury, Abbas Rahdar, Luiz Fernando Romanholo Ferreira, et al.
Critical Reviews in Oncology/Hematology (2025), pp. 104701-104701
Closed Access
Nanomedicines Targeting Metabolic Pathways in the Tumor Microenvironment: Future Perspectives and the Role of AI
Shuai Fan, Wenyu Wang, Wieqi Che, et al.
Metabolites (2025) Vol. 15, Iss. 3, pp. 201-201
Open Access
Advances in Physiologically Based Pharmacokinetic (PBPK) Modeling of Nanomaterials
Ozlem Ozbek, Destina Ekingen Genc, Kutlu Ö. Ülgen
ACS Pharmacology & Translational Science (2024) Vol. 7, Iss. 8, pp. 2251-2279
Open Access | Times Cited: 3
Drug delivery system tailoring via metal-organic framework property prediction using machine learning: A disregarded approach
Niki Pouyanfar, Mahnaz Ahmadi, Seyed Mohammad Ayyoubzadeh, et al.
Materials Today Communications (2023) Vol. 38, pp. 107938-107938
Closed Access | Times Cited: 8
Advances in Nanomaterials for Drug Delivery
Bancha Yingngam
Advances in medical diagnosis, treatment, and care (AMDTC) book series (2023), pp. 22-85
Closed Access | Times Cited: 7
Applications of AI in Drug Discovery
Kalpana Pravin Rahate, Ritam Mondal
Advances in medical technologies and clinical practice book series (2024), pp. 86-120
Closed Access | Times Cited: 2
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