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:

From real-world electronic health record data to real-world results using artificial intelligence
Rachel Knevel, Katherine P. Liao
Annals of the Rheumatic Diseases (2022) Vol. 82, Iss. 3, pp. 306-311
Open Access | Times Cited: 71

Showing 1-25 of 71 citing articles:

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: 89

AI for science: Predicting infectious diseases
Alexis Pengfei Zhao, Shuangqi Li, Zhidong Cao, et al.
Journal of Safety Science and Resilience (2024) Vol. 5, Iss. 2, pp. 130-146
Open Access | Times Cited: 31

A Systematic Review of the Application of Artificial Intelligence in Nursing Care: Where are We, and What’s Next?
Suebsarn Ruksakulpiwat, Sutthinee Thorngthip, Atsadaporn Niyomyart, et al.
Journal of Multidisciplinary Healthcare (2024) Vol. Volume 17, pp. 1603-1616
Open Access | Times Cited: 16

The role of artificial intelligence in enhancing nurses' work-life balance
Moustaq Karim Khan Rony, Daifallah Alrazeeni, Fazila Akter, et al.
Journal of Medicine Surgery and Public Health (2024) Vol. 3, pp. 100135-100135
Open Access | Times Cited: 8

Mini-Review of Clinical Data Service Platforms in the Era of Artificial Intelligence: A Case Study of the iHi Data Platform
Yu-Ting Lin, Yi‐Chun Lin, Hung-Lin Chen, et al.
Biomedicine (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1

Machine Learning: A New Approach for Dose Individualization
Qiu‐Yue Li, Bo‐Hao Tang, Yue‐E Wu, et al.
Clinical Pharmacology & Therapeutics (2023) Vol. 115, Iss. 4, pp. 727-744
Closed Access | Times Cited: 15

Understanding the role and adoption of artificial intelligence techniques in rheumatology research: An in-depth review of the literature
Alfredo Madrid-García, Beatriz Merino‐Barbancho, Alejandro Rodríguez‐González, et al.
Seminars in Arthritis and Rheumatism (2023) Vol. 61, pp. 152213-152213
Open Access | Times Cited: 13

What does artificial intelligence mean in rheumatology?
Kunal Chandwar, Durga Prasanna Misra
Archives of Rheumatology (2024) Vol. 39, Iss. 1, pp. 1-9
Open Access | Times Cited: 4

Harnessing artificial intelligence for predictive modelling in oral oncology: Opportunities, challenges, and clinical Perspectives
Vishnu Priya Veeraraghavan, Shikhar Daniel, Arun Kumar Dasari, et al.
Oral Oncology Reports (2024) Vol. 11, pp. 100591-100591
Open Access | Times Cited: 4

The Transformative Potential of Large Language Models in Mining Electronic Health Records Data: Content Analysis
Amadeo Wals-Zurita, H. Miras, Nerea Ugarte Ruiz de Aguirre, et al.
JMIR Medical Informatics (2025) Vol. 13, pp. e58457-e58457
Open Access

Understanding Nurses' perspectives on electronic health records in Egypt: Insights from a cross-sectional study
Abdelaziz Hendy, Sally Mohammed Farghaly Abdelaliem, Yasmine M. Osman, et al.
Journal of Pediatric Nursing (2025)
Closed Access

The Role of Blockchain in AI-Driven Medical Cyber-Physical Systems
Biagio Boi, Christian Esposito
(2025), pp. 127-142
Closed Access

Machine Unlearning Models for Medical Care and Health Data Privacy in Healthcare 6.0
Varun Kumar, Dipanjan Sujit Roy
IGI Global eBooks (2025), pp. 273-302
Closed Access

Revolutionizing nursing education and care: The role of artificial intelligence in nursing
Golnar Ghane, Shahrzad Ghiyasvandian, Amir Mohammad Chekeni, et al.
Nurse author & editor (2024) Vol. 34, Iss. 1
Open Access | Times Cited: 3

Annotation-preserving machine translation of English corpora to validate Dutch clinical concept extraction tools
Tom M Seinen, Jan A. Kors, Erik M. van Mulligen, et al.
Journal of the American Medical Informatics Association (2024) Vol. 31, Iss. 8, pp. 1725-1734
Open Access | Times Cited: 3

Biases in Electronic Health Records Data for Generating Real-World Evidence: An Overview
Ban Al-Sahab, Alan Leviton, Tobias Loddenkemper, et al.
Journal of Healthcare Informatics Research (2023) Vol. 8, Iss. 1, pp. 121-139
Closed Access | Times Cited: 8

Artificial Intelligence in Oncology: Present Potential, Prospective Prospects, And Ethical Reviews
Ammar A. Razzak Mahmood, Dr Roopa Murgod, Saswat swarup Badapanda, et al.
International Journal of Trends in OncoScience (2024)
Open Access | Times Cited: 2

Predictive Modeling of Drug‐Related Adverse Events with Real‐World Data: A Case Study of Linezolid Hematologic Outcomes
Anu Patel, Sarah B. Doernberg, Travis Zack, et al.
Clinical Pharmacology & Therapeutics (2024) Vol. 115, Iss. 4, pp. 847-859
Open Access | Times Cited: 2

Advancing Rheumatology Care Through Machine Learning
Thomas Hügle
Pharmaceutical Medicine (2024) Vol. 38, Iss. 2, pp. 87-96
Open Access | Times Cited: 2

The Transformative Potential of Large Language Models in Mining Electronic Health Records Data
Amadeo Wals-Zurita, H. Miras, Nerea Ugarte Ruiz de Aguirre, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2

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