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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:

A risk assessment and prediction framework for diabetes mellitus using machine learning algorithms
Salliah Shafi Bhat, M. Nazreen Banu, Gufran Ahmad Ansari, et al.
Healthcare Analytics (2023) Vol. 4, pp. 100273-100273
Open Access | Times Cited: 15

Showing 15 citing articles:

Innovations in Continuous Patient Monitoring
Shama Siddiqui, Anwar Ahmed Khan, Muazzam A. Khan, et al.
(2025), pp. 35-49
Closed Access
A predictive analytics approach with Bayesian-optimized gentle boosting ensemble models for diabetes diagnosis
Behnaz Motamedi, Balázs Villányi
Computer Methods and Programs in Biomedicine Update (2025), pp. 100184-100184
Open Access
Performance Analysis of Machine Learning Based On Optimized Feature Selection for Type II Diabetes Mellitus
Salliah Shafi Bhat, Gufran Ahmad Ansari, Mohd Dilshad Ansari
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 4
A novel deep learning model for early diabetes risk prediction using attention-enhanced deep belief networks with highly imbalanced data
Olusola Olabanjo, Ashiribo Senapon Wusu, Olufemi Olabanjo, et al.
International Journal of Information Technology (2025)
Open Access
Optimization-Based Hyperparameter Tuning Using Extra Trees to Classify Type-2-Diabetes Mellitus
Lokesh Malviya, Ramraj Dangi, Akshay Jadhav, et al.
(2025), pp. 465-470
Closed Access
Elevating Disease Prediction: A Stacking Ensemble Learning Approach
T. Kavitha, Kammara Trivikram, Manobhi Ram Reddy B, et al.
(2024) Vol. 50, pp. 1-6
Closed Access | Times Cited: 1
Forecasting glucose values for patients with type 1 diabetes using heart rate data
Raffaele Giancotti, Pietro Bosoni, Patrizia Vizza, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 257, pp. 108438-108438
Open Access | Times Cited: 1
A novel framework for multiple disease prediction in telemedicine systems using deep learning
Divya R. Unnithan, J. R. Jeba
Automatika (2024) Vol. 65, Iss. 3, pp. 763-777
Open Access
Develop A Hybrid Improved Smooth Support Vector with A Modified Pigeon Search Optimization to Detect the Diabetes Mellitus at Early Stage
D Arun, Annamalai saravanan R
International Journal of Electronics and Communication Engineering (2024) Vol. 11, Iss. 3, pp. 63-76
Open Access
Diabetes prediction utilizing soft voting classifier
Erkan Akkur
Journal of Computer & Electrical and Electronics Engineering Sciences (2024) Vol. 2, Iss. 1, pp. 31-34
Open Access
Evaluating Machine Learning Algorithms for Early Detection of GDM
Osamah Al-Azzawi, Sefer Kurnaz
2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) (2024) Vol. 10, pp. 1-7
Closed Access
Apply multiple machine learning models to diabetes prediction
Shitong Qin
Applied and Computational Engineering (2024) Vol. 86, Iss. 1, pp. 240-249
Open Access
Optimizing machine learning algorithms for diabetes data: A metaheuristic approach to balancing and tuning classifiers parameters
Hauwau Abdulrahman Aliyu, Ibrahim Olawale Muritala, Habeeb Bello-Salau, et al.
Franklin Open (2024) Vol. 8, pp. 100153-100153
Open Access
A Novel Advanced Performance Ensemble-Based Model (APEM) Framework: A Case Study on Diabetes Prediction
Arda Yunianta
Journal of Advances in Information Technology (2024) Vol. 15, Iss. 10, pp. 1193-1204
Open Access
Advanced Predictive Modeling of Type 2 Diabetes Using XGBoost and Explainable AI
Zahra Rafie, Moslem Sedaghat Talab, Behrooz Ebrahim Zadeh Koor, et al.
Research Square (Research Square) (2024)
Closed Access
Predicting Type 2 Diabetes Using Machine Learning and Flask Web Framework
Bharath Kumar Gangu, S. M. Mehdi. Hassani. N, Anudeep Ganta, et al.
(2023), pp. 1-4
Closed Access | Times Cited: 1
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