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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:

Diabetes Detection Models in Mexican Patients by Combining Machine Learning Algorithms and Feature Selection Techniques for Clinical and Paraclinical Attributes: A Comparative Evaluation
Antonio García-Domínguez, Carlos E. Galván-Tejada, Rafael Magallanes‐Quintanar, et al.
Journal of Diabetes Research (2023) Vol. 2023, pp. 1-19
Open Access | Times Cited: 13

Showing 13 citing articles:

Predicting the conversion from clinically isolated syndrome to multiple sclerosis: An explainable machine learning approach
S Rasouli, Mohammad Sedigh Dakkali, Reza Azarbad, et al.
Multiple Sclerosis and Related Disorders (2024) Vol. 86, pp. 105614-105614
Closed Access | Times Cited: 5
A systematic literature review of diabetes prediction using metaheuristic algorithm-based feature selection: Algorithms and challenges method
Sirmayanti Sirmayanti, Pulung Hendro Prastyo, Mahyati Mahyati, et al.
Applied Computer Science (2025) Vol. 21, Iss. 1, pp. 126-142
Open Access
Recent trends in diabetes mellitus diagnosis: an in-depth review of artificial intelligence-based techniques
Salman Khalid, Hojun Kim, Heung Soo Kim
Diabetes Research and Clinical Practice (2025), pp. 112221-112221
Closed Access
Sex-Specific Ensemble Models for Type 2 Diabetes Classification in the Mexican Population
Miguel M. Mendoza-Mendoza, Samara Acosta-Jiménez, Carlos E. Galván-Tejada, et al.
Diabetes Metabolic Syndrome and Obesity (2025) Vol. Volume 18, pp. 1501-1525
Open Access
A Review on Cardiovascular Diseases Risk Prediction Approches Based on Machine Learning and Evolutionary Algorithms
Syed A. Akbar, Imtiaz Ali Korejo, Gulsher Laghari, et al.
VAWKUM Transactions on Computer Sciences (2025) Vol. 13, Iss. 1, pp. 140-160
Open Access
Artificial Intelligence in Diabetes Management: Revolutionizing the Diagnosis of Diabetes Mellitus; a Literature Review
Alireza Keshtkar, Nazanin Ayareh, Farnaz Atighi, et al.
Shiraz E-Medical Journal (2024) Vol. 25, Iss. 7
Open Access | Times Cited: 2
XGBoost-SHAP-based interpretable diagnostic framework for knee osteoarthritis: a population-based retrospective cohort study
Zijuan Fan, Wenzhu Song, Yan Ke, et al.
Arthritis Research & Therapy (2024) Vol. 26, Iss. 1
Open Access | Times Cited: 2
Monkeypox diagnosis based on Dynamic Recursive Gray wolf (DRGW) optimization
Ahmed I. Saleh, Shaimaa A. Hussien
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105483-105483
Closed Access | Times Cited: 6
A genetic algorithm-based feature selection approach for diabetes prediction
Kirti Kangra, Jaswinder Singh
IAES International Journal of Artificial Intelligence (2024) Vol. 13, Iss. 2, pp. 1489-1489
Open Access | Times Cited: 1
Optimizing Clinical Diabetes Diagnosis through Generative Adversarial Networks: Evaluation and Validation
Antonio García-Domínguez, Carlos E. Galván-Tejada, Rafael Magallanes‐Quintanar, et al.
Diseases (2023) Vol. 11, Iss. 4, pp. 134-134
Open Access | Times Cited: 2
Rule Based Algorithms: A Comprehensive Review of the Modlem Method in the Prediction of Type-2 Diabetes
Amaan Malek, Darsh Kanojia, Hardik Chauhan, et al.
(2024), pp. 1806-1810
Closed Access
Setting Ranges in Potential Biomarkers for Type 2 Diabetes Mellitus Patients Early Detection By Sex—An Approach with Machine Learning Algorithms
Jorge A. Morgan-Benita, José M. Celaya-Padilla, Huizilopoztli Luna-García, et al.
Diagnostics (2024) Vol. 14, Iss. 15, pp. 1623-1623
Open Access
Identification of Dementia & Mild Cognitive Impairment in Chinese Elderly Using Machine Learning
Tong-Tong Ying, Liying Zhuang, Shanhu Xu, et al.
American Journal of Alzheimer s Disease & Other Dementias® (2024) Vol. 39
Open Access
Impact of Machine Learning Models in the Advancement of Healthcare
Aparna Patange, Deepa T. Patil, Prashant S. Jadhav, et al.
(2024), pp. 215-218
Closed Access
Impact of the Number of Features on the Performance of a Deep Neural Network Classifier for Type-2 Diabetes Prediction
Teleza Kanthonga, Chiedza Hwata, Arthur Nathaniel Mwang’onda
(2023), pp. 1-6
Closed Access
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