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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:

Use of Machine Learning Approaches in Clinical Epidemiological Research of Diabetes
Sanjay Basu, Karl Johnson, Seth A. Berkowitz
Current Diabetes Reports (2020) Vol. 20, Iss. 12
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Quality, Usability, and Effectiveness of mHealth Apps and the Role of Artificial Intelligence: Current Scenario and Challenges
Alejandro Déniz-García, Himar Fabelo, Antonio J. Rodríguez-Almeida, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e44030-e44030
Open Access | Times Cited: 79
Artificial Intelligence and Machine Learning for Improving Glycemic Control in Diabetes: Best Practices, Pitfalls, and Opportunities
Peter G. Jacobs, Pau Herrero, Andrea Facchinetti, et al.
IEEE Reviews in Biomedical Engineering (2023) Vol. 17, pp. 19-41
Open Access | Times Cited: 37
Machine learning-based morphological and mechanical prediction of kirigami-inspired active composites
Keke Tang, Yujie Xiang, Jie Tian, et al.
International Journal of Mechanical Sciences (2023) Vol. 266, pp. 108956-108956
Closed Access | Times Cited: 21
Artificial intelligence and diabetes technology: A review
Thibault Gautier, L. B. Ziegler, Matthew S. Gerber, et al.
Metabolism (2021) Vol. 124, pp. 154872-154872
Closed Access | Times Cited: 37
Explainable machine learning for health disparities: type 2 diabetes in the All of Us research program
Manoj S. Kambara, Onyinye Chukka, K. Choi, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
A survey of quantum computing hybrid applications with brain-computer interface
Dandan Huang, Mei Wang, Jian‐Ping Wang, et al.
Cognitive Robotics (2022) Vol. 2, pp. 164-176
Open Access | Times Cited: 17
GABP Promotes Mesangial Cell Proliferation and Renal Fibrosis Through GLI1 in Diabetic Nephropathy
Lei Du, Sijie Liu, Yinfei Lu, et al.
Advanced Science (2025)
Open Access
TyGIS: improved triglyceride-glucose index for the assessment of insulin sensitivity during pregnancy
Benedetta Salvatori, Tina Linder, Daniel Eppel, et al.
Cardiovascular Diabetology (2022) Vol. 21, Iss. 1
Open Access | Times Cited: 14
Diabetes at a Glance: Assessing AI Strategies for Early Diabetes Detection and Intervention
Ban Salman Shukur, Noorayisahbe Mohd Yaacob, Mohamed Doheir
Mesopotamian Journal of Artificial Intelligence in Healthcare (2023) Vol. 2023, pp. 85-89
Open Access | Times Cited: 7
Improving Machine Learning Diabetes Prediction Models for the Utmost Clinical Effectiveness
Juyoung Shin, Joonyub Lee, Taehoon Ko, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 11, pp. 1899-1899
Open Access | Times Cited: 12
Advancing vector-borne disease prediction through functional classifier integration: A novel approach for enhanced modeling
Mokammel Hossain Tito, MD. ZAHIDUL ISLAM CHOWDHURY JANNAT, Mst Tachhlima Aktar, et al.
Deleted Journal (2024), pp. 17-22
Open Access | Times Cited: 2
Metabolic and Genetic Markers Improve Prediction of Incident Type 2 Diabetes: A Nested Case-Control Study in Chinese
Jia Liu, Lu Wang, Yun Qian, et al.
The Journal of Clinical Endocrinology & Metabolism (2022) Vol. 107, Iss. 11, pp. 3120-3127
Open Access | Times Cited: 9
Temporal deep learning framework for retinopathy prediction in patients with type 1 diabetes
Sara Rabhi, Frédéric Blanchard, Alpha Mamadou Diallo, et al.
Artificial Intelligence in Medicine (2022) Vol. 133, pp. 102408-102408
Open Access | Times Cited: 8
A Comprehensive Review of Artificial Intelligence and Machine Learning Methods for Modern Healthcare Systems
Khandaker Mamun Ahmed, Badhan Chandra Das, Yasaman Saadati, et al.
Springer eBooks (2024), pp. 71-110
Closed Access | Times Cited: 1
Computer-aided system for extending the performance of diabetes analysis and prediction
Saydul Akbar Murad, Zafril Rizal M Azmi, Zaid Hakami, et al.
(2021), pp. 465-470
Closed Access | Times Cited: 8
Marginal Structural Models Using Calibrated Weights With SuperLearner: Application to Type II Diabetes Cohort
Sumeet Kalia, Olli Saarela, Tao Chen, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 8, pp. 4197-4206
Open Access | Times Cited: 6
Machine learning in handling disease outbreaks: a comprehensive review
Dianadewi Riswantini, Ekasari Nugraheni
Bulletin of Electrical Engineering and Informatics (2022) Vol. 11, Iss. 4, pp. 2160-2168
Open Access | Times Cited: 6
Prediction of hearing preservation after acoustic neuroma surgery based on SMOTE-XGBoost
Cenyi Yang
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 6, pp. 10757-10772
Open Access | Times Cited: 3
Machine Learning-Based Indices Assessing Different Aspects of Beta-Cell Function in Pregnancy
Benedetta Salvatori, Agnese Piersanti, Tina Linder, et al.
IFMBE proceedings (2024), pp. 622-630
Closed Access
Role of Artificial Intelligence in Diabetes Mellitus Care: A SWOT Analysis
Priya Kataria, Srivenkata Madhu, Madhu Upadhyay
Indian Journal of Endocrinology and Metabolism (2024) Vol. 28, Iss. 6, pp. 562-568
Open Access
A Scoping Review of Studies Using Artificial Intelligence Identifying Optimal Practice Patterns for Inpatients With Type 2 Diabetes That Lead to Positive Healthcare Outcomes
Pankaj Vyas, Krista Brandon, Sheila M. Gephart
CIN Computers Informatics Nursing (2024) Vol. 42, Iss. 5, pp. 396-402
Closed Access
The SMART Framework: Selection of Machine Learning Algorithms With ReplicaTions—A Case Study on the Microvascular Complications of Diabetes
Breanna Swan, María E. Mayorga, Julie S. Ivy
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 2, pp. 809-817
Closed Access | Times Cited: 3
Empirical Index for Easy Assessment of Pancreatic Beta-Cell Glucose Sensitivity During Pregnancy: A Machine Learning Approach
Benedetta Salvatori, Tina Linder, Daniel Eppel, et al.
2022 E-Health and Bioengineering Conference (EHB) (2022), pp. 01-04
Closed Access | Times Cited: 1
Integrated Learning Model Based on GC-Stacking for Early Prediction of Diabetes Mellitus
Xiaoxia Li, Jianjun Zhang, Peishun Liu, et al.
(2021), pp. 380-387
Closed Access | Times Cited: 1
Quality, Usability, and Effectiveness of mHealth Apps and the Role of Artificial Intelligence: Current Scenario and Challenges (Preprint)
Alejandro Déniz-García, Himar Fabelo, Antonio J. Rodríguez-Almeida, et al.
(2022)
Open Access
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