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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:

Predicting Type 2 Diabetes Using Logistic Regression and Machine Learning Approaches
Ram D. Joshi, Chandra Dhakal
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 14, pp. 7346-7346
Open Access | Times Cited: 171

Showing 1-25 of 171 citing articles:

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: 78
A novel stacking ensemble for detecting three types of diabetes mellitus using a Saudi Arabian dataset: Pre-diabetes, T1DM, and T2DM
Mohammed Gollapalli, Aisha Alansari, Heba Alkhorasani, et al.
Computers in Biology and Medicine (2022) Vol. 147, pp. 105757-105757
Open Access | Times Cited: 71
Diabetes Prediction and Management Using Machine Learning Approaches
Mowafaq Salem Alzboon, Muhyeeddin Alqaraleh, Mohammad Subhi Al-Batah
Data & Metadata (2025) Vol. 4, pp. 545-545
Closed Access | Times Cited: 4
Relative Fat Mass and Physical Indices as Predictors of Gallstone Formation: Insights From Machine Learning and Logistic Regression
Lei Deng, Shuting Wang, Daiwei Wan, et al.
International Journal of General Medicine (2025) Vol. Volume 18, pp. 509-527
Open Access | Times Cited: 2
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: 58
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: 34
Comparative analysis of predictive machine learning algorithms for diabetes mellitus
Kirti Kangra, Jaswinder Singh
Bulletin of Electrical Engineering and Informatics (2023) Vol. 12, Iss. 3, pp. 1728-1737
Open Access | Times Cited: 33
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: 29
Early Diagnosis of Diabetes: A Comparison of Machine Learning Methods
Mowafaq Salem Alzboon, Mohammad Subhi Al-Batah, Muhyeeddin Alqaraleh, et al.
International Journal of Online and Biomedical Engineering (iJOE) (2023) Vol. 19, Iss. 15, pp. 144-165
Open Access | Times Cited: 26
Trends and Disparities in Diabetes Prevalence in the United States from 2012 to 2022
Sulakshan Neupane, Wojciech J. Florkowski, Chandra Dhakal
American Journal of Preventive Medicine (2024) Vol. 67, Iss. 2, pp. 299-302
Open Access | Times Cited: 11
Cardiovascular Health Management in Diabetic Patients with Machine-Learning-Driven Predictions and Interventions
Rejath Jose, Faiz Syed, Anvin Thomas, et al.
Applied Sciences (2024) Vol. 14, Iss. 5, pp. 2132-2132
Open Access | Times Cited: 10
Toward reliable diabetes prediction: Innovations in data engineering and machine learning applications
Md. Alamin Talukder, Md. Manowarul Islam, Md Ashraf Uddin, et al.
Digital Health (2024) Vol. 10
Open Access | Times Cited: 10
Using a robust model to detect the association between anthropometric factors and T2DM: machine learning approaches
Nafiseh Hosseini, Hamid Tanzadehpanah, Amin Mansoori, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access | Times Cited: 1
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 | Times Cited: 1
Evaluating the economic effect of sustainable agricultural practices on small-scale farmers in the Eastern Cape Province: a propensity score matching analysis
Lelethu Mdoda, O. Loki, Misery M. Sikwela
International Journal of Agricultural Sustainability (2025) Vol. 23, Iss. 1
Open Access | Times Cited: 1
A Comparative Study of Machine Learning Techniques for Early Prediction of Diabetes
Mowafaq Salem Alzboon, Mohammad Subhi Al-Batah, Muhyeeddin Alqaraleh, et al.
(2023), pp. 1-12
Closed Access | Times Cited: 20
KFPredict: An ensemble learning prediction framework for diabetes based on fusion of key features
Huamei Qi, Xiaomeng Song, Shengzong Liu, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 231, pp. 107378-107378
Closed Access | Times Cited: 18
Diabetes mellitus early warning and factor analysis using ensemble Bayesian networks with SMOTE-ENN and Boruta
Xuchun Wang, Jiahui Ren, Hao Ren, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 14
Regional disparities in type 2 diabetes prevalence and associated risk factors in the United States
Sulakshan Neupane, Wojciech J. Florkowski, Uttam Dhakal, et al.
Diabetes Obesity and Metabolism (2024) Vol. 26, Iss. 10, pp. 4776-4782
Open Access | Times Cited: 6
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: 5
An Efficient Prediction System for Diabetes Disease Based on Deep Neural Network
Tawfiq Beghriche, Mohamed Djerioui, Youcef Brik, et al.
Complexity (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 30
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
Optimizing diabetes classification with a machine learning-based framework
Xin Feng, Yihuai Cai, Ruihao Xin
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 12
Early Prediction of Diabetes Using Feature Selection and Machine Learning Algorithms
Jafar Abdollahi, Solmaz Aref
SN Computer Science (2024) Vol. 5, Iss. 2
Closed Access | Times Cited: 4
Optimizing Predictive Performance: Hyperparameter Tuning in Stacked Multi-Kernel Support Vector Machine Random Forest Models for Diabetes Identification
Dimas Chaerul Ekty Saputra, Alfian Ma’arif, Khamron Sunat
Journal of Robotics and Control (JRC) (2024) Vol. 4, Iss. 6, pp. 896-904
Open Access | Times Cited: 4
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