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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:

A machine learning model identifies patients in need of autoimmune disease testing using electronic health records
Iain S. Forrest, Ben Omega Petrazzini, Áine Duffy, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 15

Showing 15 citing articles:

Predicting coronary heart disease in Chinese diabetics using machine learning
Cai-Yi Ma, Yamei Luo, Tianyu Zhang, et al.
Computers in Biology and Medicine (2024) Vol. 169, pp. 107952-107952
Closed Access | Times Cited: 16
Artificial intelligence in rheumatology research: what is it good for?
José Miguel Sequí-Sabater, Diego Benavent
RMD Open (2025) Vol. 11, Iss. 1, pp. e004309-e004309
Open Access | Times Cited: 1
Unlocking precision medicine: clinical applications of integrating health records, genetics, and immunology through artificial intelligence
Yiming Chen, Tzu‐Hung Hsiao, Ching‐Heng Lin, et al.
Journal of Biomedical Science (2025) Vol. 32, Iss. 1
Open Access | Times Cited: 1
Assisting the implementation of screening for type 1 diabetes by using artificial intelligence on publicly available data
Pedro Filipe Teixeira, Tadej Battelino, Annelie Carlsson, et al.
Diabetologia (2024) Vol. 67, Iss. 6, pp. 985-994
Open Access | Times Cited: 6
AI in autoimmune diseases: Transforming diagnosis and treatment
Dipali Vikas Mane, A.M. Deshmukh, Rohit Hanumant Ambare, et al.
Journal of Pharmaceutical and Biological Sciences (2025) Vol. 12, Iss. 2, pp. 109-118
Closed Access
A Scientometrics Analytics on Immune system-related conditions and AI-driven computational methods: Trend and Exploration
Deepti Rani Pattanaik
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2025) Vol. 09, Iss. 01, pp. 1-9
Closed Access
Exposure to autoimmune disorders is associated with increased Alzheimer’s disease risk in a multi-site electronic health record analysis
G. Ramey, Alice Tang, Thanaphong Phongpreecha, et al.
Cell Reports Medicine (2025), pp. 101980-101980
Open Access
Applications of Artificial Intelligence in Vasculitides: A Systematic Review
Mahmud Omar, Reem Agbareia, Mohammad E. Naffaa, et al.
ACR Open Rheumatology (2025) Vol. 7, Iss. 3
Open Access
Machine learning for precision diagnostics of autoimmunity
Jan Kruta, Raphaël Carapito, Marten Trendelenburg, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Cholesterol Contributes to Risk, Severity, and Machine Learning-Driven Diagnosis of Lyme Disease
Iain S. Forrest, Anya J. O’Neal, Joao H. F. Pedra, et al.
Clinical Infectious Diseases (2023) Vol. 77, Iss. 6, pp. 839-847
Open Access | Times Cited: 4
Deciphering the complex mechanics of atherosclerotic plaques: a hybrid hierarchical theory-microrheology approach
Zhuo Chang, Yidan Zhou, Le Dong, et al.
Acta Biomaterialia (2024)
Closed Access | Times Cited: 1
Novel multiclass classification machine learning approach for the early-stage classification of systemic autoimmune rheumatic diseases
Yun Wang, Wei Wei, Renren Ouyang, et al.
Lupus Science & Medicine (2024) Vol. 11, Iss. 1, pp. e001125-e001125
Open Access
Classification of Osteoarthritis from Rheumatoid Arthritis based on Stacked Ensemble Machine Learning
Sree Ranjani Rajendran, L. Thara
(2024)
Open Access
Applications of Artificial Intelligence in Vasculitides: A Systematic Review
Mahmud Omar, Reem Agbareia, Mohammad E. Naffaa, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Unveiling diagnostic information for type 2 diabetes through interpretable machine learning
Xiang Lv, Jiesi Luo, Yonglin Zhang, et al.
Information Sciences (2024), pp. 121582-121582
Open Access
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