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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:

Precision diagnostic approach to predict 5-year risk for microvascular complications in type 1 diabetes
Naba Al‐Sari, Svetlana Kutuzova, Tommi Suvitaival, et al.
EBioMedicine (2022) Vol. 80, pp. 104032-104032
Open Access | Times Cited: 11

Showing 11 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: 15
A systematic literature review of machine learning based risk prediction models for diabetic retinopathy progression
Tiwalade Modupe Usman, Yakub Kayode Saheed, Augustine Shey Nsang, et al.
Artificial Intelligence in Medicine (2023) Vol. 143, pp. 102617-102617
Closed Access | Times Cited: 16
Novel artificial intelligence algorithms for diabetic retinopathy and diabetic macular edema
Jie Yao, Joshua Lim, Gilbert Yong San Lim, et al.
Eye and Vision (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 6
Chewing the fat: How lipidomics is changing our understanding of human health and disease in 2022
Caroline Géhin, Stephen J. Fowler, Drupad K. Trivedi
Analytical Science Advances (2023) Vol. 4, Iss. 3-4, pp. 104-131
Open Access | Times Cited: 10
Precision Medicine Approaches to Diabetic Kidney Disease: Personalized Interventions on the Horizon
Fnu Nageeta, Fahad Waqar, Ibtesam Allahi, et al.
Cureus (2023)
Open Access | Times Cited: 6
Artificial Intelligence and Machine Learning Techniques in the Diagnosis of Type I Diabetes: Case Studies
Ahmad Ahmad, Ahmed A. Mohamed
Studies in computational intelligence (2024), pp. 289-302
Closed Access
Machine Learning–Driven Prediction of Comorbidities and Mortality in Adults With Type 1 Diabetes
J. S. Andersen, Carsten Wridt Stoltenberg, Morten Hasselstrøm Jensen, et al.
Journal of Diabetes Science and Technology (2024)
Open Access
Metabolic Polygenic Risk Scores for Prediction of Obesity, Type 2 Diabetes, and Related Morbidities
Min Seo Kim, Qiuli Chen, Yang Sui, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Machine learning techniques to predict the risk of developing diabetic nephropathy: a literature review
Francisco Mesquita, Jorge Bernardino, J. Henriques, et al.
Journal of Diabetes & Metabolic Disorders (2023) Vol. 23, Iss. 1, pp. 825-839
Open Access | Times Cited: 1
Type 1 Diabetes: Current Advances in High-Throughput Technologies and Computational Biology for Biomarker Studies
Tiffanie Leeman, Katherine P. Richardson, Paul Tran, et al.
IntechOpen eBooks (2022)
Open Access | Times Cited: 2
Type 1 Diabetes in 2023 - From Real Practice to Open Questions
Rudolf Chlup
IntechOpen eBooks (2022)
Open Access | Times Cited: 1
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