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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:

Pima Indians diabetes mellitus classification based on machine learning (ML) algorithms
Victor Chang, Jozeene Bailey, Qianwen Xu, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 22, pp. 16157-16173
Open Access | Times Cited: 174

Showing 1-25 of 174 citing articles:

Meta-Heuristic Optimization of LSTM-Based Deep Network for Boosting the Prediction of Monkeypox Cases
Marwa M. Eid, El-Sayed M. El-kenawy, Nima Khodadadi, et al.
Mathematics (2022) Vol. 10, Iss. 20, pp. 3845-3845
Open Access | Times Cited: 69
A novel machine learning approach for diagnosing diabetes with a self-explainable interface
Gangani Dharmarathne, Thilini N. Jayasinghe, Madhusha Bogahawaththa, et al.
Healthcare Analytics (2024) Vol. 5, pp. 100301-100301
Open Access | Times Cited: 31
Integrating prior knowledge to build transformer models
Pei Jiang, Takashi Obi, Yoshikazu Nakajima
International Journal of Information Technology (2024) Vol. 16, Iss. 3, pp. 1279-1292
Open Access | Times Cited: 23
Improving diabetes disease patients classification using stacking ensemble method with PIMA and local healthcare data
Md. Shamim Reza, Ruhul Amin, Rubia Yasmin, et al.
Heliyon (2024) Vol. 10, Iss. 2, pp. e24536-e24536
Open Access | Times Cited: 17
Advancements and Prospects of Machine Learning in Medical Diagnostics: Unveiling the Future of Diagnostic Precision
Sohaib Asif, Wenhui Yi, Saif Ur-Rehman, et al.
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 17
Photocatalytic degradation of drugs and dyes using a maching learning approach
Ganesan Anandhi, M. Iyapparaja
RSC Advances (2024) Vol. 14, Iss. 13, pp. 9003-9019
Open Access | Times Cited: 16
An Ensemble Approach for the Prediction of Diabetes Mellitus Using a Soft Voting Classifier with an Explainable AI
Hafsa Binte Kibria, Md. Nahiduzzaman, Md. Omaer Faruq Goni, et al.
Sensors (2022) Vol. 22, Iss. 19, pp. 7268-7268
Open Access | Times Cited: 60
Deep LSTM Model for Diabetes Prediction with Class Balancing by SMOTE
Suja A. Alex, N. Z. Jhanjhi, Mamoona Humayun, et al.
Electronics (2022) Vol. 11, Iss. 17, pp. 2737-2737
Open Access | Times Cited: 52
An unsupervised cluster-based feature grouping model for early diabetes detection
Md. Mehedi Hassan, Swarnali Mollick, Farhana Yasmin
Healthcare Analytics (2022) Vol. 2, pp. 100112-100112
Open Access | Times Cited: 52
A Diabetes Monitoring System and Health-Medical Service Composition Model in Cloud Environment
Santosh Kumar Sharma, Abu Taha Zamani, Ahmed Abdelsalam, et al.
IEEE Access (2023) Vol. 11, pp. 32804-32819
Open Access | Times Cited: 33
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: 27
Machine Learning Approach for Diabetes Detection Using Fine-Tuned XGBoost Algorithm
Aga Maulana, Farassa Rani Faisal, Teuku Rizky Noviandy, et al.
Infolitika Journal of Data Science (2023) Vol. 1, Iss. 1, pp. 1-7
Open Access | Times Cited: 27
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
Classification of Diabetes Using Feature Selection and Hybrid Al-Biruni Earth Radius and Dipper Throated Optimization
Amel Ali Alhussan, Abdelaziz A. Abdelhamid, S. K. Towfek, et al.
Diagnostics (2023) Vol. 13, Iss. 12, pp. 2038-2038
Open Access | Times Cited: 23
Diabetes: a review of its pathophysiology, and advanced methods of mitigation
Sarika Gupta, Nitin Sharma, Sandeep Arora, et al.
Current Medical Research and Opinion (2024) Vol. 40, Iss. 5, pp. 773-780
Closed Access | Times Cited: 8
Machine Learning in Healthcare Analytics: A State-of-the-Art Review
Surajit Das, Samaleswari Pr. Nayak, Biswajit Sahoo, et al.
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 8
Synergistic Feature Engineering and Ensemble Learning for Early Chronic Disease Prediction
Hamdi A. Al-Jamimi
IEEE Access (2024) Vol. 12, pp. 62215-62233
Open Access | Times Cited: 7
A Machine Learning Framework for Early-Stage Detection of Autism Spectrum Disorders
S. M. Mahedy Hasan, Md Palash Uddin, Md. Al Mamun, et al.
IEEE Access (2022) Vol. 11, pp. 15038-15057
Open Access | Times Cited: 33
Dataset and Feature Analysis for Diabetes Mellitus Classification using Random Forest
Fachrul Mustofa, Achmad Nuruddin Safriandono, Ahmad Rofiqul Muslikh, et al.
Journal of Computing Theories and Applications (2023) Vol. 1, Iss. 1, pp. 41-48
Open Access | Times Cited: 19
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
An Effective Methodology for Diabetes Prediction in the Case of Class Imbalance
Borislava Toleva, I. Atanasov, Ivan Ivanov, et al.
Bioengineering (2025) Vol. 12, Iss. 1, pp. 35-35
Open Access
A novel RFE-GRU model for diabetes classification using PIMA Indian dataset
Mahmoud Y. Shams, Zahraa Tarek, Ahmed M. Elshewey
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Robust predictive framework for diabetes classification using optimized machine learning on imbalanced datasets
Inam Abousaber, H. Abdallah, Hany El-Ghaish
Frontiers in Artificial Intelligence (2025) Vol. 7
Open Access
Fast and interpretable support vector classification based on the truncated ANOVA decomposition
Kseniya Akhalaya, Franziska Nestler, Daniel Potts
GAMM-Mitteilungen (2025)
Open Access
Next-generation diabetes diagnosis and personalized diet-activity management: A hybrid ensemble paradigm
Muhammad Sajid, Kaleem Razzaq Malik, Ali Haider Khan, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0307718-e0307718
Open Access
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