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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:

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: 30

Showing 1-25 of 30 citing articles:

Optimizing Cancer Treatment: Exploring the Role of AI in Radioimmunotherapy
Hossein Azadinejad, M. Rad, Ahmad Shariftabrizi, et al.
Diagnostics (2025) Vol. 15, Iss. 3, pp. 397-397
Open Access | Times Cited: 1
Impact and Challenges of Artificial Intelligence Integration in the African Health Sector: A Review
Elijah Kolawole Oladipo, Stephen Feranmi Adeyemo, Glory Jesudara Oluwasanya, et al.
Trends in Medical Research (2024) Vol. 19, Iss. 1, pp. 220-235
Open Access | Times Cited: 5
Current Treatments, Emerging Therapeutics, and Natural Remedies for Inflammatory Bowel Disease
Karma Yeshi, Tenzin Jamtsho, Phurpa Wangchuk
Molecules (2024) Vol. 29, Iss. 16, pp. 3954-3954
Open Access | Times Cited: 5
Integrating transcriptomic data with a novel drug efficacy prediction model for TCM active compound discovery
Yingcan Li, Yu Shen, Yezi Cai, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Trends in AI for Disease and Diagnostic Prediction: A Healthcare Perspective
Saurav Kumar Mishra, Tabsum Chhetri, Anagha Balakrishnan, et al.
(2025), pp. 87-104
Closed Access
Research on the optimization model of anti-breast cancer candidate drugs based on machine learning
Zhou Dong, Hong Chen, Yuchen Yang, et al.
Frontiers in Genetics (2025) Vol. 16
Open Access
The Applications of Artificial Intelligence (AI)-Driven Tools in Virus-Like Particles (VLPs) Research
Bugude Laxmi, P. Uma Maheswari Devi, Naveen Thanjavur, et al.
Current Microbiology (2024) Vol. 81, Iss. 8
Closed Access | Times Cited: 4
Secure e-health framework using artificial intelligence and blockchain technology
Reham Almukhlifi, Mahmoud Ahmad Al‐Khasawneh, Amal Bukhari, et al.
International Journal of ADVANCED AND APPLIED SCIENCES (2025) Vol. 12, Iss. 2, pp. 52-61
Open Access
Identification of novel inhibitors targeting Mycobacterium abscessus InhA through virtual screening, docking, and molecular dynamic simulations
M Hasnain Abbas, Abdullah R. Alanzi, Kashif Iqbal Sahibzada, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
High-performance computing in healthcare: An automatic literature analysis perspective
Jieyi Li, Shuai Wang, Stevan Rudinac, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Closed Access | Times Cited: 3
Artificial Intelligence (AI) and Machine Learning (ML) Implemented Drug Delivery Systems: A paradigm shift in the Pharmaceutical industry
Goutam Kumar Jena, Chinam Niranjan Patra, Sruti Jammula, et al.
Journal of Bio-X Research (2024) Vol. 7
Open Access | Times Cited: 3
Doctor AI? A pilot study examining responses of artificial intelligence to common questions asked by geriatric patients
Ian Moore, Christopher Magnante, Ellie Embry, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 2
Artificial Intelligence Applications in Smart Healthcare: A Survey
Xian Gao, Peixiong He, Yi Zhou, et al.
Future Internet (2024) Vol. 16, Iss. 9, pp. 308-308
Open Access | Times Cited: 2
Perspectives, Challenges, and the Future of Biomedical Technology and Artificial Intelligence
Saúl Tovar‐Arriaga, Gerardo I. Pérez‐Soto, Karla A. Camarillo‐Gómez, et al.
Technologies (2024) Vol. 12, Iss. 11, pp. 212-212
Open Access | Times Cited: 2
Convergence of Nanotechnology and Machine Learning: The State of the Art, Challenges, and Perspectives
Amiya Kumar Tripathy, Akshata Y. Patne, Subhra Mohapatra, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 22, pp. 12368-12368
Open Access | Times Cited: 2
Performance and Reproducibility of Large Language Models in Named Entity Recognition: Considerations for the Use in Controlled Environments
Juergen Dietrich, André Hollstein
Drug Safety (2024)
Open Access | Times Cited: 2
Influence of Generative AI on Healthcare Industries Enhanced by the Metaverse
Rashmi Kumari, Raghwendra Kishore Singh
Advances in medical technologies and clinical practice book series (2024), pp. 129-166
Closed Access | Times Cited: 1
Applying AI in the Area of Automation Systems: Overview and Challenges
Tullio Facchinetti, Howard Li, Antonino Nocera, et al.
2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA) (2024) Vol. 3, pp. 1-8
Closed Access | Times Cited: 1
Applying neural ordinary differential equations for analysis of hormone dynamics in Trier Social Stress Tests
Christopher Parker, Erik J. Nelson, Tongli Zhang
Frontiers in Genetics (2024) Vol. 15
Open Access
Artificial intelligence's impact on contemporary drug research and pharmaceutical formulation
Xavier Prasad Daniel
i-manager s Journal on Chemical Sciences (2024) Vol. 4, Iss. 1, pp. 36-36
Closed Access
The Added Value of Real-World Data in the Digital Health Ecosystem
Kleanthis Konstantinidis, Ioannis Apostolakis
Advances in healthcare information systems and administration book series (2024), pp. 91-118
Closed Access
AI-Driven Transcriptome Profile-Guided Hit Molecule Generation
Chen Li, Yoshihiro Yamanishi
Artificial Intelligence (2024), pp. 104239-104239
Open Access
Rag2Mol: Structure-based drug design based on Retrieval Augmented Generation
Peidong Zhang, Xingang Peng, Rong Han, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Artificial Intelligence in Drug Discovery
Ankita Kalra, Monu Bhardwaj
Advances in human and social aspects of technology book series (2024), pp. 289-318
Closed Access
Generative AI in Drug Designing: Current State-of-the-Art and Perspectives
Shaban Ahmad, Nagmi Bano, Sakshi Sharma, et al.
Studies in computational intelligence (2024), pp. 427-463
Closed Access
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