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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:

How can machine learning and multiscale modeling benefit ocular drug development?
Nannan Wang, Yunsen Zhang, Wei Wang, et al.
Advanced Drug Delivery Reviews (2023) Vol. 196, pp. 114772-114772
Closed Access | Times Cited: 21

Showing 21 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: 326
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: 46
Role of Fluid Dynamics in Infectious Disease Transmission: Insights from COVID-19 and Other Pathogens
Soumyajit Koley
Trends in Sciences (2024) Vol. 21, Iss. 8, pp. 8287-8287
Open Access | Times Cited: 16
Towards artificial intelligence-enabled extracellular vesicle precision drug delivery
Zachary Greenberg, Kiley Graim, Mei He
Advanced Drug Delivery Reviews (2023) Vol. 199, pp. 114974-114974
Closed Access | Times Cited: 26
Strategies of Artificial intelligence tools in the domain of nanomedicine
Mohammad Habeeb, Huay Woon You, Mutheeswaran Umapathi, et al.
Journal of Drug Delivery Science and Technology (2023) Vol. 91, pp. 105157-105157
Closed Access | Times Cited: 22
The role of AI in microbial fermentation: Transforming industrial applications
Akanksha Srivastava, Chhavi Atri
Methods in microbiology (2025)
Closed Access
The Artificial Intelligence-Powered New Era in Pharmaceutical Research and Development: A Review
Phuvamin Suriyaamporn, Boonnada Pamornpathomkul, Prasopchai Patrojanasophon, et al.
AAPS PharmSciTech (2024) Vol. 25, Iss. 6
Closed Access | Times Cited: 5
Toward the Integration of Machine Learning and Molecular Modeling for Designing Drug Delivery Nanocarriers
Xuejiao J. Gao, Krzesimir Ciura, Yuanjie Ma, et al.
Advanced Materials (2024)
Closed Access | Times Cited: 5
Intravitreal therapeutic nanoparticles for age-related macular degeneration: Design principles, progress and opportunities
Yuhang Zhang, Stephanie L. Watson, Yogambha Ramaswamy, et al.
Advances in Colloid and Interface Science (2024) Vol. 329, pp. 103200-103200
Open Access | Times Cited: 4
Clinical Pharmacology Perspective on Development of Adeno‐Associated Virus Vector‐Based Retina Gene Therapy
Jennifer Lynn Ford, Eleni Karatza, Hardik Mody, et al.
Clinical Pharmacology & Therapeutics (2024) Vol. 115, Iss. 6, pp. 1212-1232
Open Access | Times Cited: 3
Introduction to Computational Pharmaceutics
Nannan Wang, Wei Wang, Hao Zhong, et al.
(2024), pp. 1-9
Closed Access | Times Cited: 1
Artificial Intelligence in Pharmaceutical Drug Delivery
Gaurav Agrawal, Shiva Tushir, Shiva Tushir, et al.
(2024), pp. 406-410
Closed Access | Times Cited: 1
Revolutionizing Lens Technology: Chitosan and Starch in Next‐Gen Ophthalmic Lenses
Hakim S. Sultan Aljibori, Lina M. Shaker, Ahmed A. Al‐Amiery, et al.
Starch - Stärke (2023) Vol. 76, Iss. 5-6
Closed Access | Times Cited: 3
Editorial: Ocular drug delivery – Challenges, opportunities, and developments
Jian Ji, Yong Tao, Yan Pang
Advanced Drug Delivery Reviews (2023) Vol. 202, pp. 115113-115113
Open Access | Times Cited: 2
Computational Resources in Pharmaceutics
Jie Dong
(2024), pp. 59-84
Closed Access
Nanocarrier-Based, ocular drug delivery: Challenges, prospects, and the therapeutic landscape in the United Arab Emirates
Salama A Al Yabhouni, Mohammad Sayem Mozumder, Nurudeen Hassan, et al.
International Journal of Pharmaceutics (2024) Vol. 667, pp. 124899-124899
Open Access
FormulationBCS: A Machine Learning Platform Based on Diverse Molecular Representations for Biopharmaceutical Classification System (BCS) Class Prediction
Zhenhua Wu, Nannan Wang, Zhuyifan Ye, et al.
Molecular Pharmaceutics (2024) Vol. 22, Iss. 1, pp. 330-342
Closed Access
Harnessing the power of machine learning into tissue engineering: current progress and future prospects
Yiyang Wu, Xiaotong Ding, Yiwei Wang, et al.
Burns & Trauma (2024) Vol. 12
Open Access
AI-directed formulation strategy design initiates rational drug development
Nannan Wang, Jie Dong, Defang Ouyang
Journal of Controlled Release (2024) Vol. 378, pp. 619-636
Closed Access
Shallow Learning vs. Deep Learning in Engineering Applications
Fereshteh Jafari, Kamran Moradi, Qobad Shafiee
(2024), pp. 29-76
Closed Access
cyclicpeptide: a Python package for cyclic peptide drug design
Yang Liu, Suqi Cao, Lei Liu, et al.
Briefings in Bioinformatics (2024) Vol. 26, Iss. 1
Open Access
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