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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:

AI-based language models powering drug discovery and development
Zhichao Liu, Ruth Roberts, Madhu Lal‐Nag, et al.
Drug Discovery Today (2021) Vol. 26, Iss. 11, pp. 2593-2607
Open Access | Times Cited: 106

Showing 1-25 of 106 citing articles:

GPT (Generative Pre-Trained Transformer)— A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions
Gokul Yenduri, M. Ramalingam, G. Chemmalar Selvi, et al.
IEEE Access (2024) Vol. 12, pp. 54608-54649
Open Access | Times Cited: 141
Attention is all you need: utilizing attention in AI-enabled drug discovery
Yang Zhang, Caiqi Liu, Mujiexin Liu, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 124
Natural Language Processing for Smart Healthcare
Binggui Zhou, Guanghua Yang, Zheng Shi, et al.
IEEE Reviews in Biomedical Engineering (2022) Vol. 17, pp. 4-18
Open Access | Times Cited: 106
Using artificial intelligence to improve public health: a narrative review
David B. Olawade, Ojima J. Wada, Aanuoluwapo Clement David-Olawade, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 103
ChatGPT in glioma adjuvant therapy decision making: ready to assume the role of a doctor in the tumour board?
Julien Haemmerli, Lukas Sveikata, Aria Nouri, et al.
BMJ Health & Care Informatics (2023) Vol. 30, Iss. 1, pp. e100775-e100775
Open Access | Times Cited: 67
Large Language Models in Healthcare and Medical Domain: A Review
Zabir Al Nazi, Wei Peng
Informatics (2024) Vol. 11, Iss. 3, pp. 57-57
Open Access | Times Cited: 67
Artificial Intelligence (AI) Applications in Drug Discovery and Drug Delivery: Revolutionizing Personalized Medicine
Dolores R. Serrano, Francis C. Luciano, Brayan J. Anaya, et al.
Pharmaceutics (2024) Vol. 16, Iss. 10, pp. 1328-1328
Open Access | Times Cited: 42
Generative artificial intelligence in drug discovery: basic framework, recent advances, challenges, and opportunities
Amit Gangwal, M. Azim Ansari, Iqrar Ahmad, et al.
Frontiers in Pharmacology (2024) Vol. 15
Open Access | Times Cited: 27
Machine Learning Empowering Drug Discovery: Applications, Opportunities and Challenges
Xin Qi, Yuanchun Zhao, Zhuang Qi, et al.
Molecules (2024) Vol. 29, Iss. 4, pp. 903-903
Open Access | Times Cited: 21
Towards accurate and reliable resolution of structural variants for clinical diagnosis
Zhichao Liu, Ruth Roberts, Tim R. Mercer, et al.
Genome biology (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 53
“Artificial Intelligence” for Pharmacovigilance: Ready for Prime Time?
Robert Ball, Gerald J. Dal Pan
Drug Safety (2022) Vol. 45, Iss. 5, pp. 429-438
Open Access | Times Cited: 51
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
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
Conversational Process Modelling: State of the Art, Applications, and Implications in Practice
Nataliia Klievtsova, Janik-Vasily Benzin, Timotheus Kampik, et al.
Lecture notes in business information processing (2023), pp. 319-336
Closed Access | Times Cited: 29
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
Advancing drug discovery with deep attention neural networks
Antonio Lavecchia
Drug Discovery Today (2024) Vol. 29, Iss. 8, pp. 104067-104067
Open Access | Times Cited: 10
Artificial intelligence and real-world data for drug and food safety – A regulatory science perspective
Shraddha Thakkar, William Slikker, Frank Yiannas, et al.
Regulatory Toxicology and Pharmacology (2023) Vol. 140, pp. 105388-105388
Open Access | Times Cited: 21
Transformer-based models for chemical SMILES representation: A comprehensive literature review
Medard Edmund Mswahili, Young-Seob Jeong
Heliyon (2024) Vol. 10, Iss. 20, pp. e39038-e39038
Open Access | Times Cited: 7
How to promote AI in the US federal government: Insights from policy process frameworks
Muhammad Salar Khan, Azka Shoaib, Elizabeth Arledge
Government Information Quarterly (2024) Vol. 41, Iss. 1, pp. 101908-101908
Open Access | Times Cited: 6
A comprehensive review on recent approaches for cancer drug discovery associated with artificial intelligence
Sanjeevi Pandiyan, Li Wang
Computers in Biology and Medicine (2022) Vol. 150, pp. 106140-106140
Closed Access | Times Cited: 25
A Review of Deep Learning-Based Approaches for Detection and Diagnosis of Diverse Classes of Drugs
Ashish Kumar, Nishant Kumar, Jeril Kuriakose, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 6, pp. 3867-3889
Closed Access | Times Cited: 16
The Constrained-Disorder Principle Assists in Overcoming Significant Challenges in Digital Health: Moving from “Nice to Have” to Mandatory Systems
Noa Hurvitz, Yaron Ilan
Clinics and Practice (2023) Vol. 13, Iss. 4, pp. 994-1014
Open Access | Times Cited: 15
Artificial Intelligence in Accelerating Drug Discovery and Development
Anushree Tripathi, Krishna Misra, Richa Dhanuka, et al.
Recent Patents on Biotechnology (2022) Vol. 17, Iss. 1, pp. 9-23
Closed Access | Times Cited: 22
Recent progress in machine learning approaches for predicting carcinogenicity in drug development
Nguyen Quoc Khanh Le, Thi-Xuan Tran, Phung-Anh Nguyen, et al.
Expert Opinion on Drug Metabolism & Toxicology (2024) Vol. 20, Iss. 7, pp. 621-628
Closed Access | Times Cited: 4
Unlocking the Future of Drug Development: Generative AI, Digital Twins, and Beyond
Zamara Mariam, Sarfaraz K. Niazi, Matthias Magoola
BioMedInformatics (2024) Vol. 4, Iss. 2, pp. 1441-1456
Open Access | Times Cited: 4
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