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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:

Predicting type 1 diabetes in children using electronic health records in primary care in the UK: development and validation of a machine-learning algorithm
Rhian Daniel, Hywel Jones, John W Gregory, et al.
The Lancet Digital Health (2024) Vol. 6, Iss. 6, pp. e386-e395
Open Access | Times Cited: 10

Showing 10 citing articles:

A Tutorial and Use Case Example of the eXtreme Gradient Boosting (XGBoost) Artificial Intelligence Algorithm for Drug Development Applications
Matthew Wiens, Alissa Verone‐Boyle, Nick Henscheid, et al.
Clinical and Translational Science (2025) Vol. 18, Iss. 3
Open Access | Times Cited: 1
Enhancing Pulmonary Disease Prediction Using Large Language Models with Feature Summarization and Hybrid Retrieval-Augmented Generation: Multicenter Methodological Study based on Radiology Report (Preprint)
Ruiteng Li, Shuai Mao, Congmin Zhu, et al.
Journal of Medical Internet Research (2025)
Open Access
Towards a clinically actionable, electronic health record-based machine learning model to forecast 90-day change in hemoglobin A1c in youth with type 1 diabetes: Feasibility and model development study (Preprint)
Erin M. Tallon, David D. Williams, Cintya Schweisberger, et al.
(2025)
Closed Access
Closed-Loop, Artificial Intelligence-Based Decision Support Systems, and Data Science
Revital Nimri, Moshe Phillip, Mark A. Clements, et al.
Diabetes Technology & Therapeutics (2025) Vol. 27, Iss. S1, pp. S64-S78
Closed Access
Harnessing Machine Learning, a Subset of Artificial Intelligence, for Early Detection and Diagnosis of Type 1 Diabetes: A Systematic Review
Rahul Mittal, Matthew B. Weiss, Arnaldo Rendon, et al.
International Journal of Molecular Sciences (2025) Vol. 26, Iss. 9, pp. 3935-3935
Open Access
Face-based machine learning diagnostics: applications, challenges and opportunities
Jie Song, Mengqiao He, Xin Zheng, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 8
Open Access
The Transformative Role of Artificial Intelligence in Diabetes Care and Research
Dulce Canha, Charline Bour, Sara Barraud, et al.
Diabetes & Metabolism (2024) Vol. 50, Iss. 5, pp. 101565-101565
Closed Access | Times Cited: 1
Leveraging artificial intelligence and machine learning to accelerate discovery of disease-modifying therapies in type 1 diabetes
Melanie R. Shapiro, Erin M. Tallon, Matthew E. Brown, et al.
Diabetologia (2024)
Open Access | Times Cited: 1
Challenges of detecting childhood diabetes in primary care
Katherine G Young, John Dennis, Nicholas J. Thomas
The Lancet Digital Health (2024) Vol. 6, Iss. 6, pp. e375-e376
Open Access
Developing an automated algorithm for identification of children and adolescents with diabetes using electronic health records from the OneFlorida+ clinical research network
Piaopiao Li, Eliot Spector, Khalid Alkhuzam, et al.
Diabetes Obesity and Metabolism (2024)
Closed Access
Advances in Artificial Intelligence in Pediatrics: Current Developments and Future Perspectives
Sami Al-Hajjar
International Journal of Pediatrics and Adolescent Medicine (2024) Vol. 11, Iss. 4, pp. 89-90
Closed Access
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