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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:

Prediction of Type 2 Diabetes Based on Machine Learning Algorithm
Henock M. Deberneh, Intaek Kim
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 6, pp. 3317-3317
Open Access | Times Cited: 148

Showing 1-25 of 148 citing articles:

Diagnosis of Diabetes Mellitus Using Gradient Boosting Machine (LightGBM)
Derara Duba Rufo, Taye Girma Debelee, Achim Ibenthal, et al.
Diagnostics (2021) Vol. 11, Iss. 9, pp. 1714-1714
Open Access | Times Cited: 180
Diabetes prediction using machine learning and explainable AI techniques
Isfafuzzaman Tasin, Tansin Ullah Nabil, Sanjida Islam, et al.
Healthcare Technology Letters (2022) Vol. 10, Iss. 1-2, pp. 1-10
Open Access | Times Cited: 123
Machine learning and deep learning predictive models for type 2 diabetes: a systematic review
Luis Fregoso-Aparicio, Julieta Noguez, Luis Montesinos, et al.
Diabetology & Metabolic Syndrome (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 107
Predicting the Onset of Diabetes with Machine Learning Methods
Chun-Yang Chou, Ding‐Yang Hsu, Chun-Hung Chou
Journal of Personalized Medicine (2023) Vol. 13, Iss. 3, pp. 406-406
Open Access | Times Cited: 71
Healthcare predictive analytics using machine learning and deep learning techniques: a survey
Mohammed Badawy, Nagy Ramadan, Hesham A. Hefny
Journal of Electrical Systems and Information Technology (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 47
A scoping review of artificial intelligence-based methods for diabetes risk prediction
Farida Mohsen, Hamada R. H. Al-Absi, Noha A. Yousri, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 42
Using Recurrent Neural Networks for Predicting Type-2 Diabetes from Genomic and Tabular Data
Parvathaneni Naga Srinivasu, Jana Shafi, T. Balamurali Krishna, et al.
Diagnostics (2022) Vol. 12, Iss. 12, pp. 3067-3067
Open Access | Times Cited: 56
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
Predictive Modeling and Analytics for Diabetes using Hyperparameter tuned Machine Learning Techniques
Subhash Chandra Gupta, Noopur Goel
Procedia Computer Science (2023) Vol. 218, pp. 1257-1269
Open Access | Times Cited: 26
HealthEdge: A Machine Learning-Based Smart Healthcare Framework for Prediction of Type 2 Diabetes in an Integrated IoT, Edge, and Cloud Computing System
Alain Hennebelle, Huned Materwala, Leila Ismail
Procedia Computer Science (2023) Vol. 220, pp. 331-338
Open Access | Times Cited: 26
A Comparison of Machine Learning Techniques for the Detection of Type-2 Diabetes Mellitus: Experiences from Bangladesh
Md. Jamal Uddin, Md. Martuza Ahamad, Md. Nesarul Hoque, et al.
Information (2023) Vol. 14, Iss. 7, pp. 376-376
Open Access | Times Cited: 24
Improving Healthcare Prediction of Diabetic Patients Using KNN Imputed Features and Tri-Ensemble Model
Khaled Alnowaiser
IEEE Access (2024) Vol. 12, pp. 16783-16793
Open Access | Times Cited: 11
Predicting the Risk of Incident Type 2 Diabetes Mellitus in Chinese Elderly Using Machine Learning Techniques
Qing Liu, Miao Zhang, Yifeng He, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 6, pp. 905-905
Open Access | Times Cited: 31
Secure and privacy-preserving automated machine learning operations into end-to-end integrated IoT-edge-artificial intelligence-blockchain monitoring system for diabetes mellitus prediction
Alain Hennebelle, Leila Ismail, Huned Materwala, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 23, pp. 212-233
Open Access | Times Cited: 19
Expertise as a signature: continuous implicit authentication based on behavior
Sad-Houari Nawal, Noria Taghezout, Hadj-Sahraoui Nihad
Cluster Computing (2025) Vol. 28, Iss. 3
Closed Access
A Survey on Heart Disease Prediction Using Ensemble Techniques in ML
Sudhakar Vecha, M. V. P. Chandra Sekhara Rao
(2025), pp. 125-137
Closed Access
Dual-stage explainable ensemble learning model for diabetes diagnosis
Ibrahim A. Elgendy, Mohamed Hosny, Mousa Albashrawi, et al.
Expert Systems with Applications (2025), pp. 126899-126899
Closed Access
Development and validation of predictive models for diabetic retinopathy using machine learning
Peigang Yang, Bin Yang
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0318226-e0318226
Open Access
Construction and Verification of a Frailty Risk Prediction Model for Elderly Patients with Coronary Heart Disease Based on a Machine Learning Algorithm
Jiaoyu Cao, Lixiang Zhang, X. R. Zhou
Reviews in Cardiovascular Medicine (2025) Vol. 26, Iss. 2
Open Access
Incorporating sedentary behaviour for identifying risk of type 2 diabetes: Implications for primary care
Francesc Alòs, Anna Puig‐Ribera, Judit Bort‐Roig, et al.
Primary care diabetes (2025)
Closed Access
Harnessing machine learning models for non-invasive pre-diabetes screening in children and adolescents
Savitesh Kushwaha, Rachana Srivastava, Rachita Jain, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 226, pp. 107180-107180
Closed Access | Times Cited: 20
Chi-Square and PCA Based Feature Selection for Diabetes Detection with Ensemble Classifier
Vaibhav Rupapara, Furqan Rustam, Abid Ishaq, et al.
Intelligent Automation & Soft Computing (2023) Vol. 36, Iss. 2, pp. 1931-1949
Open Access | Times Cited: 11
Machine learning for predicting diabetes risk in western China adults
Li Lin, Yinlin Cheng, Weidong Ji, et al.
Diabetology & Metabolic Syndrome (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 10
Explainable deep learning for diabetes diagnosis with DeepNetX2
Sharia Arfin Tanim, Al Rafi Aurnob, Tahmid Enam Shrestha, et al.
Biomedical Signal Processing and Control (2024) Vol. 99, pp. 106902-106902
Closed Access | Times Cited: 3
An automated approach to predict diabetic patients using KNN imputation and effective data mining techniques
Abdulaziz Altamimi, Aisha Ahmed Alarfaj, Muhammad Umer, et al.
BMC Medical Research Methodology (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 3
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