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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:

Recent applications of machine learning and deep learning models in the prediction, diagnosis, and management of diabetes: a comprehensive review
Elaheh Afsaneh, Amin Sharifdini, Hadi Ghazzaghi, et al.
Diabetology & Metabolic Syndrome (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

Wearable devices for glucose monitoring: A review of state-of-the-art technologies and emerging trends
Mohammad Mansour, M. Saeed Darweesh, Ahmed Soltan
Alexandria Engineering Journal (2024) Vol. 89, pp. 224-243
Open Access | Times Cited: 29
Machine Learning as a Support for the Diagnosis of Type 2 Diabetes
Antonio Agliata, Deborah Giordano, Francesco Bardozzo, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 7, pp. 6775-6775
Open Access | Times Cited: 32
A Comparative Study on Forecasting of Long-term Daily Streamflow using ANN, ANFIS, BiLSTM and CNN-GRU-LSTM
Sajjad M. Vatanchi, Hossein Etemadfard, Mahmoud F. Maghrebi, et al.
Water Resources Management (2023) Vol. 37, Iss. 12, pp. 4769-4785
Closed Access | Times Cited: 28
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: 13
Transforming the cardiometabolic disease landscape: Multimodal AI-powered approaches in prevention and management
Evan D. Muse, Eric J. Topol
Cell Metabolism (2024) Vol. 36, Iss. 4, pp. 670-683
Closed Access | Times Cited: 12
Recent advances in transdermal insulin delivery technology: A review
Heng Li, Yanbin Shi, Xinbing Ding, et al.
International Journal of Biological Macromolecules (2024) Vol. 274, pp. 133452-133452
Closed Access | Times Cited: 5
Optimizing hypoglycaemia prediction in type 1 diabetes with Ensemble Machine Learning modeling
Daphne N. Katsarou, Eleni I. Georga, María Christou, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access
Impact of machine learning on dietary and exercise behaviors in type 2 diabetes self-management: a systematic literature review
Rizwan Riaz Mir, Nazeef Ul Haq, Kashif Ishaq, et al.
PeerJ Computer Science (2025) Vol. 11, pp. e2568-e2568
Open Access
REMED-T2D: A robust ensemble learning model for early detection of type 2 diabetes using healthcare dataset
Le Thi Phan, Rajan Rakkiyappan, Balachandran Manavalan
Computers in Biology and Medicine (2025) Vol. 187, pp. 109771-109771
Closed Access
Machine learning-based prediction of thermal comfort: exploring building types, climate, ventilation strategies, and seasonal variations
Ali Berkay Avcı
Building Research & Information (2025), pp. 1-18
Closed Access
Prediction Models for Diabetes in Children and Adolescents: A Review
L. Cvetićanin, Marko Arsenović
Applied Sciences (2025) Vol. 15, Iss. 6, pp. 2906-2906
Open Access
Stacking ensemble approach to diagnosing the disease of diabetes
Alfredo Daza Vergaray, Carlos Fidel Ponce Sánchez, Gonzalo Apaza-Perez, et al.
Informatics in Medicine Unlocked (2023) Vol. 44, pp. 101427-101427
Open Access | Times Cited: 13
Personalized prediction of diabetic foot ulcer recurrence in elderly individuals using machine learning paradigms
Shichai Hong, Yihui Chen, Yue Lin, et al.
Technology and Health Care (2024) Vol. 32, pp. 265-276
Open Access | Times Cited: 4
A machine learning model to predict liver-related outcomes after the functional cure of chronic hepatitis B
Moon Haeng Hur, Terry Cheuk‐Fung Yip, Seung Up Kim, et al.
Journal of Hepatology (2024)
Closed Access | Times Cited: 4
Machine‐learning algorithms in screening for type 2 diabetes mellitus: Data from Fasa Adults Cohort Study
Hanieh Karmand, Aref Andishgar, Reza Tabrizi, et al.
Endocrinology Diabetes & Metabolism (2024) Vol. 7, Iss. 2
Open Access | Times Cited: 3
Supervised machine learning-based categorization and prediction of uranium adsorption capacity on various process parameters
Niken Siwi Pamungkas, Zico Pratama Putra, Hendra Adhi Pratama, et al.
Journal of Hazardous Materials Advances (2024) Vol. 17, pp. 100523-100523
Open Access | Times Cited: 3
Implementing a Novel Machine Learning System for Nutrition Education in Diabetes Mellitus Nutritional Clinic: Predicting 1-Year Blood Glucose Control
Mei‐Yuan Liu, Chung‐Feng Liu, Tzu-Chi Lin, et al.
Bioengineering (2023) Vol. 10, Iss. 10, pp. 1139-1139
Open Access | Times Cited: 8
Artificial Intelligence-Based Digital Biomarkers for Type 2 Diabetes: A Review
Mariam Jabara, Orhun Köse, George Perlman, et al.
Canadian Journal of Cardiology (2024) Vol. 40, Iss. 10, pp. 1922-1933
Open Access | Times Cited: 2
Predictive modeling for the development of diabetes mellitus using key factors in various machine learning approaches
Marenao Tanaka, Yukinori Akiyama, Kazuma Mori, et al.
Diabetes Epidemiology and Management (2023) Vol. 13, pp. 100191-100191
Open Access | Times Cited: 6
A Comparative Analysis of Various Machine Learning Algorithms to Improve the Accuracy of HbA1c Estimation Using Wrist PPG Data
Shama Satter, Tae-Ho Kwon, Ki‐Doo Kim
Sensors (2023) Vol. 23, Iss. 16, pp. 7231-7231
Open Access | Times Cited: 5
Applications of different machine learning methods on nuclear charge radius estimations
Tuncay Bayram, Cafer Mert Yeşilkanat, Serkan Akkoyun
Physica Scripta (2023) Vol. 98, Iss. 12, pp. 125310-125310
Open Access | Times Cited: 5
EMD-Based Noninvasive Blood Glucose Estimation from PPG Signals Using Machine Learning Algorithms
Shama Satter, Mrinmoy Sarker Turja, Tae-Ho Kwon, et al.
Applied Sciences (2024) Vol. 14, Iss. 4, pp. 1406-1406
Open Access | Times Cited: 1
Application of machine learning in affordable and accessible insulin management for type 1 and 2 diabetes: A comprehensive review
Maryam Eghbali‐Zarch, Sara Masoud
Artificial Intelligence in Medicine (2024) Vol. 151, pp. 102868-102868
Closed Access | Times Cited: 1
Machine Learning Interpretability in Diabetes RiskAssessment: A SHAP Analysis
Mustafa Kutlu, Turker Berk Donmez, Christopher Freeman
Computers and electronics in medicine. (2024)
Closed Access | Times Cited: 1
Deep learning for blood glucose level prediction: How well do models generalize across different data sets?
Sarala Ghimire, Turgay Çelik, Martin Gerdes, et al.
PLoS ONE (2024) Vol. 19, Iss. 9, pp. e0310801-e0310801
Open Access | Times Cited: 1
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