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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 for Clinical Trial Design
Stefan Harrer, Pratik Shah, Bhavna Antony, et al.
Trends in Pharmacological Sciences (2019) Vol. 40, Iss. 8, pp. 577-591
Open Access | Times Cited: 458

Showing 1-25 of 458 citing articles:

On the Opportunities and Risks of Foundation Models
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 1524
Artificial intelligence in drug discovery and development
Debleena Paul, Gaurav Sanap, Snehal Shenoy, et al.
Drug Discovery Today (2020) Vol. 26, Iss. 1, pp. 80-93
Open Access | Times Cited: 1023
Artificial intelligence to deep learning: machine intelligence approach for drug discovery
Rohan Gupta, Devesh Srivastava, Mehar Sahu, et al.
Molecular Diversity (2021) Vol. 25, Iss. 3, pp. 1315-1360
Open Access | Times Cited: 889
Attention is not all you need: the complicated case of ethically using large language models in healthcare and medicine
Stefan Harrer
EBioMedicine (2023) Vol. 90, pp. 104512-104512
Open Access | Times Cited: 280
Drawbacks of Artificial Intelligence and Their Potential Solutions in the Healthcare Sector
Bangul Khan, Hajira Fatima, Ayatullah Qureshi, et al.
Deleted Journal (2023) Vol. 1, Iss. 2, pp. 731-738
Open Access | Times Cited: 261
Artificial intelligence in cancer target identification and drug discovery
Yujie You, Xin Lai, Yi Pan, et al.
Signal Transduction and Targeted Therapy (2022) Vol. 7, Iss. 1
Open Access | Times Cited: 209
M3DISEEN: A novel machine learning approach for predicting the 3D printability of medicines
Moe Elbadawi, Brais Muñiz Castro, Francesca K. H. Gavins, et al.
International Journal of Pharmaceutics (2020) Vol. 590, pp. 119837-119837
Open Access | Times Cited: 171
Artificial Intelligence and Machine Learning Technology Driven Modern Drug Discovery and Development
Chayna Sarkar, Biswadeep Das, Vikram Singh Rawat, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 3, pp. 2026-2026
Open Access | Times Cited: 143
AI in drug discovery and its clinical relevance
Rizwan Qureshi, Muhammad Irfan, Taimoor Muzaffar Gondal, et al.
Heliyon (2023) Vol. 9, Iss. 7, pp. e17575-e17575
Open Access | Times Cited: 143
Artificial Intelligence Applied to clinical trials: opportunities and challenges
Scott Askin, Denis Burkhalter, Gilda Calado, et al.
Health and Technology (2023) Vol. 13, Iss. 2, pp. 203-213
Open Access | Times Cited: 135
Advancing pharmacy and healthcare with virtual digital technologies
Sarah J. Trenfield, Atheer Awad, Laura E. McCoubrey, et al.
Advanced Drug Delivery Reviews (2022) Vol. 182, pp. 114098-114098
Open Access | Times Cited: 126
Artificial intelligence in clinical medicine: catalyzing a sustainable global healthcare paradigm
Gokul Krishnan, Shiana Singh, Monika Pathania, et al.
Frontiers in Artificial Intelligence (2023) Vol. 6
Open Access | Times Cited: 126
Machine Learning for Biologics: Opportunities for Protein Engineering, Developability, and Formulation
Harini Narayanan, Fabian Dingfelder, Alessandro Butté, et al.
Trends in Pharmacological Sciences (2021) Vol. 42, Iss. 3, pp. 151-165
Closed Access | Times Cited: 125
Machine learning predicts 3D printing performance of over 900 drug delivery systems
Brais Muñiz Castro, Moe Elbadawi, Jun Jie Ong, et al.
Journal of Controlled Release (2021) Vol. 337, pp. 530-545
Open Access | Times Cited: 122
Artificial Intelligence in Pharmaceutical and Healthcare Research
Subrat Kumar Bhattamisra, Priyanka Banerjee, Pratibha Gupta, et al.
Big Data and Cognitive Computing (2023) Vol. 7, Iss. 1, pp. 10-10
Open Access | Times Cited: 111
The Emergence of AI-Based Wearable Sensors for Digital Health Technology: A Review
Shaghayegh Shajari, Kirankumar Kuruvinashetti, Amin Komeili, et al.
Sensors (2023) Vol. 23, Iss. 23, pp. 9498-9498
Open Access | Times Cited: 108
Applications of Artificial Intelligence (AI) in healthcare: A review
Mohammed Yousef Shaheen
(2021)
Open Access | Times Cited: 105
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: 104
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: 104
Deep learning tools for advancing drug discovery and development
Sagorika Nag, Anurag T. K. Baidya, Abhimanyu Mandal, et al.
3 Biotech (2022) Vol. 12, Iss. 5
Open Access | Times Cited: 103
Colonic drug delivery: Formulating the next generation of colon-targeted therapeutics
Laura E. McCoubrey, Alessia Favaron, Atheer Awad, et al.
Journal of Controlled Release (2022) Vol. 353, pp. 1107-1126
Open Access | Times Cited: 102
Clinical Applications of Artificial Intelligence—An Updated Overview
Ștefan Busnatu, Adelina-Gabriela Niculescu, Alexandra Bolocan, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 8, pp. 2265-2265
Open Access | Times Cited: 100
Artificial Intelligence-Based Data-Driven Strategy to Accelerate Research, Development, and Clinical Trials of COVID Vaccine
Ashwani Sharma, Tarun Virmani, Vipluv Pathak, et al.
BioMed Research International (2022) Vol. 2022, pp. 1-16
Open Access | Times Cited: 77
Artificial intelligence and machine learning applications in biopharmaceutical manufacturing
Anurag S. Rathore, Saxena Nikita, Garima Thakur, et al.
Trends in biotechnology (2022) Vol. 41, Iss. 4, pp. 497-510
Closed Access | Times Cited: 70
Artificial Intelligence and Machine Learning in Pharmacological Research: Bridging the Gap Between Data and Drug Discovery
Shruti Singh, Rajesh Kumar, Shuvasree Payra, et al.
Cureus (2023)
Open Access | Times Cited: 66
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