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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:

Clinical Text Datasets for Medical Artificial Intelligence and Large Language Models — A Systematic Review
Jiageng Wu, Xiaocong Liu, Minghui Li, et al.
NEJM AI (2024) Vol. 1, Iss. 6
Closed Access | Times Cited: 20

Showing 20 citing articles:

Agentic Large Language Models for Healthcare: Current Progress and Future Opportunities
Han Yuan
Medicine Advances (2025)
Open Access | Times Cited: 1
Natural language processing in plastic surgery patient consultations
Ankoor A. Talwar, Chen Shen, Joseph H. Shin
Artificial Intelligence Surgery (2025) Vol. 5, Iss. 1, pp. 46-52
Open Access
Natural language processing to evaluate texting conversations between patients and healthcare providers during COVID-19 Home-Based Care in Rwanda at scale
Richard Lester, Matthew Manson, Muhammed Semakula, et al.
PLOS Digital Health (2025) Vol. 4, Iss. 1, pp. e0000625-e0000625
Open Access
Analysis of longitudinal social media for monitoring symptoms during a pandemic
Shixu Lin, Lucas Garay, Yining Hua, et al.
Journal of Biomedical Informatics (2025), pp. 104778-104778
Closed Access
Bridging the Divide: A Systems Thinking Approach to Inclusivity in AI Development and Education
Arkapravo Sarkar
(2025)
Closed Access
Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations
Joseph Alderman, Joanne Palmer, Elinor Laws, et al.
The Lancet Digital Health (2024) Vol. 7, Iss. 1, pp. e64-e88
Open Access | Times Cited: 4
Characterizing Public Sentiments and Drug Interactions during COVID-19: A Pretrained Language Model and Network Analysis of Social Media Discourse
Wanxin Li, Yining Hua, Peilin Zhou, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
Large Language Models in Worldwide Medical Exams: Platform Development and Comprehensive Analysis (Preprint)
Hui Zong, Rongrong Wu, Jiaxue Cha, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e66114-e66114
Open Access | Times Cited: 2
The sexual and gender-diverse face more health challenges during COVID-19: A large-scale social media analysis with natural language processing
Zhiyun Zhang, Yining Hua, Peilin Zhou, et al.
Health Data Science (2024) Vol. 4
Open Access | Times Cited: 1
Demographic reporting in biosignal datasets: a comprehensive analysis of the PhysioNet open access database
Sarah Jiang, Perisa Ashar, Md Mobashir Hasan Shandhi, et al.
The Lancet Digital Health (2024)
Open Access | Times Cited: 1
Fine-Tuning LLMs with Medical Data: Can Safety Be Ensured?
Minkyoung Kim, Yunha Kim, Hee Jun Kang, et al.
NEJM AI (2024)
Closed Access
Characterizing Public Sentiments and Drug Interactions in COVID-19 Pandemic using Social Media: A Natural Language Processing and Network Analysis (Preprint)
Wanxin Li, Yining Hua, Peilin Zhou, et al.
Journal of Medical Internet Research (2024)
Open Access
The sexual and gender-diverse face more health challenges during COVID-19: A large-scale social media analysis with natural language processing
Zhiyun Zhang, Yining Hua, Peilin Zhou, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Denoising Longitudinal Social Media for Pandemic Monitoring
Shixu Lin, Lucas Garay, Yining Hua, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Characterizing Public Sentiments and Drug Interactions during COVID-19: A Pretrained Language Model and Network Analysis of Social Media Discourse (Preprint)
Wanxin Li, Yining Hua, Peilin Zhou, et al.
(2024)
Closed Access
Large Language Model Based Assessment of Clinical Reasoning Documentation in the Electronic Health Record Across Two Institutions (Preprint)
Verity Schaye, David J DiTullio, Benedict Guzman, et al.
(2024)
Open Access
Tackling Algorithmic Bias and Promoting Transparency in Health Datasets: The STANDING Together Consensus Recommendations
Joseph Alderman, Joanne Palmer, Elinor Laws, et al.
NEJM AI (2024) Vol. 2, Iss. 1
Closed Access
Probabilistic medical predictions of large language models
Bowen Gu, Rishi Desai, Kueiyu Joshua Lin, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access
Synthetic Data and Health Privacy
Gwénolé Abgrall, Xavier Monnet, Anmol Arora
JAMA (2024)
Closed Access
How to design, create and evaluate an instruction-tuning dataset for large language model training in healthcare: a tutorial from a clinical perspective. (Preprint)
Wojciech Nazar, Grzegorz Nazar, Aleksandra Kamińska, et al.
Journal of Medical Internet Research (2024)
Open Access
Large Language Model Based Assessment of Clinical Reasoning Documentation in the Electronic Health Record Across Two Institutions: Development and Validation Study (Preprint)
Verity Schaye, David J DiTullio, Benedict Guzman, et al.
Journal of Medical Internet Research (2024)
Open Access
How to Design, Create, and Evaluate an Instruction-Tuning Dataset for Large Language Model Training in Health Care: Tutorial From a Clinical Perspective (Preprint)
Wojciech Nazar, Grzegorz Nazar, Aleksandra Kamińska, et al.
(2024)
Closed Access
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