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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 natural language processing help model informed drug development?: a review
Roopal Bhatnagar, Sakshi Sardar, Maedeh Beheshti, et al.
JAMIA Open (2022) Vol. 5, Iss. 2
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Integrating Artificial Intelligence for Drug Discovery in the Context of Revolutionizing Drug Delivery
Anita Ioana Vișan, Irina Neguț
Life (2024) Vol. 14, Iss. 2, pp. 233-233
Open Access | Times Cited: 82
Artificial intelligence-based text generators in hepatology: ChatGPT is just the beginning
Jin Ge, Jennifer C. Lai
Hepatology Communications (2023) Vol. 7, Iss. 4
Open Access | Times Cited: 63
AI-powered drug discovery for neglected diseases: accelerating public health solutions in the developing world
MD Nahid Hassan Nishan
Journal of Global Health (2025) Vol. 15
Open Access | Times Cited: 2
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
AI's role in revolutionizing personalized medicine by reshaping pharmacogenomics and drug therapy
Hamed Taherdoost, Alireza Ghofrani
Intelligent Pharmacy (2024) Vol. 2, Iss. 5, pp. 643-650
Open Access | Times Cited: 15
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: 13
Artificial intelligence for drug repurposing against infectious diseases
Anuradha Singh
Artificial Intelligence Chemistry (2024) Vol. 2, Iss. 2, pp. 100071-100071
Open Access | Times Cited: 9
Zero-Shot Information Extraction for Clinical Meta-Analysis using Large Language Models
David Kartchner, S.S. Ramalingam, Irfan Al-Hussaini, et al.
(2023)
Open Access | Times Cited: 13
Artificial Intelligence, Computational Tools and Robotics for Drug Discovery, Development, and Delivery
Ayodele James Oyejide, Yemi A. Adekunle, Oluwatosin David Abodunrin, et al.
Intelligent Pharmacy (2025)
Open Access
AiGPro: a multi-tasks model for profiling of GPCRs for agonist and antagonist
Rahul Brahma, Sung‐Hyun Moon, Jaemin Shin, et al.
Journal of Cheminformatics (2025) Vol. 17, Iss. 1
Open Access
Advances in bioinformatic methods for the acceleration of the drug discovery from nature
Magdalena Maciejewska‐Turska, Milen I. Georgiev, Guoyin Kai, et al.
Phytomedicine (2025) Vol. 139, pp. 156518-156518
Closed Access
GramSeq-DTA: A Grammar-Based Drug–Target Affinity Prediction Approach Fusing Gene Expression Information
Kusal Debnath, Pratip Rana, Preetam Ghosh
Biomolecules (2025) Vol. 15, Iss. 3, pp. 405-405
Open Access
Large Language Models and Their Applications in Drug Discovery and Development: A Primer
James Lu, Keunwoo Choi, Maksim Eremeev, et al.
Clinical and Translational Science (2025) Vol. 18, Iss. 4
Open Access
Patient’s Condition Classification Using Drug Reviews with NLP
Victor Doma, Erna Berbić, Ali Abd Almisreb, et al.
Lecture notes in networks and systems (2025), pp. 249-261
Closed Access
Automated tabulation of clinical trial results: A joint entity and relation extraction approach with transformer-based language representations
Jetsun Whitton, Anthony Hunter
Artificial Intelligence in Medicine (2023) Vol. 144, pp. 102661-102661
Open Access | Times Cited: 10
Large language models in physical therapy: time to adapt and adept
Waqar M. Naqvi, Summaiya Zareen Shaikh, Gaurav Mishra
Frontiers in Public Health (2024) Vol. 12
Open Access | Times Cited: 3
Personalized Meal Planning in Inpatient Clinical Dietetics Using Generative Artificial Intelligence: System Description
Leon Kopitar, Gregor Štiglic, Leon Bedrač, et al.
2022 IEEE 10th International Conference on Healthcare Informatics (ICHI) (2024), pp. 326-331
Closed Access | Times Cited: 3
Artificial Intelligence–Driven Computational Approaches in the Development of Anticancer Drugs
Pankaj Garg, G. D. Singhal, Prakash Kulkarni, et al.
Cancers (2024) Vol. 16, Iss. 22, pp. 3884-3884
Open Access | Times Cited: 3
Advancing algorithmic drug product development: Recommendations for machine learning approaches in drug formulation
Jack D. Murray, Justus Johann Lange, Harriet Bennett-Lenane, et al.
European Journal of Pharmaceutical Sciences (2023) Vol. 191, pp. 106562-106562
Open Access | Times Cited: 9
SUSIE: Pharmaceutical CMC ontology-based information extraction for drug development using machine learning
Vipul Mann, Shekhar K. Viswanath, Shankar Vaidyaraman, et al.
Computers & Chemical Engineering (2023) Vol. 179, pp. 108446-108446
Closed Access | Times Cited: 9
In Silico Clinical Trials: Is It Possible?
Simon Arsène, Yves Parès, Eliott Tixier, et al.
Methods in molecular biology (2023), pp. 51-99
Closed Access | Times Cited: 7
Unlocking the Capabilities of Large Language Models for Accelerating Drug Development
Wes Anderson, Ian Braun, Roopal Bhatnagar, et al.
Clinical Pharmacology & Therapeutics (2024) Vol. 116, Iss. 1, pp. 38-41
Open Access | Times Cited: 2
Accelerating healthcare innovation: the role of Artificial intelligence and digital health technologies in critical path institute’s public‐private partnerships
Jagdeep T. Podichetty, Sakshi Sardar, Nick Henscheid, et al.
Clinical and Translational Science (2024) Vol. 17, Iss. 6
Open Access | Times Cited: 2
Artificial Intelligence in Perioperative Care: Opportunities and Challenges
Lichy Han, Danton Char, Nima Aghaeepour, et al.
Anesthesiology (2024) Vol. 141, Iss. 2, pp. 379-387
Closed Access | Times Cited: 2
Revolutionizing patient safety with artificial intelligence: the potential of natural language processing and large language models
Eyal Klang, Ezequiel García‐Elorrio, Eyal Zimlichman
International Journal for Quality in Health Care (2023) Vol. 35, Iss. 3
Open Access | Times Cited: 6
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