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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:

Prevalence and Early Prediction of Diabetes Using Machine Learning in North Kashmir: A Case Study of District Bandipora
Salliah Shafi Bhat, Venkatesan Selvam, Gufran Ahmad Ansari, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 67

Showing 1-25 of 67 citing articles:

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
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
Diabetes risk prediction model based on community follow-up data using machine learning
Liangjun Jiang, Zhenhua Xia, Ronghui Zhu, et al.
Preventive Medicine Reports (2023) Vol. 35, pp. 102358-102358
Open Access | Times Cited: 23
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: 22
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
Performance Evaluation of Machine Learning Techniques (MLT) for Heart Disease Prediction
Gufran Ahmad Ansari, Salliah Shafi Bhat, Mohd Dilshad Ansari, et al.
Computational and Mathematical Methods in Medicine (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 19
Early prediction of cardiovascular disease using artificial neural network
Jyotismita Talukdar, Thipendra P. Singh
Paladyn Journal of Behavioral Robotics (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 16
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: 16
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: 16
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
Diabetes Prediction Using an Optimized Variational Quantum Classifier
Wajiha Rahim Khan, Muhammad Ahmad Kamran, Misha Urooj Khan, et al.
International Journal of Intelligent Systems (2025) Vol. 2025, Iss. 1
Open Access
An Enhanced Convolutional Neural Network (CNN) based P-EDR Mechanism for Diagnosis of Diabetic Retinopathy (DR) using Machine Learning
Munawar Hussain, Hassan A. Ahmed, Muhammad Zeeshan Babar, et al.
Engineering Technology & Applied Science Research (2025) Vol. 15, Iss. 1, pp. 19062-19067
Open Access
Utilizing Machine Learning Algorithms for Predictive Analysis of Diabetes
Mehroush Banday, Sherin Zafar, Parul Agarwal, et al.
Smart innovation, systems and technologies (2025), pp. 491-507
Closed Access
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
Is integrating video into tech-based patient education effective for improving medication adherence? – A review
Muhammad Thesa Ghozali
Paladyn Journal of Behavioral Robotics (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 12
Diabetes Mellitus Prediction using Supervised Machine Learning Techniques
Srishti Mahajan, Pradeepta Kumar Sarangi, Ashok Kumar Sahoo, et al.
(2023), pp. 587-592
Closed Access | Times Cited: 11
An assessment of ensemble learning approaches and single-based machine learning algorithms for the characterization of undersaturated oil viscosity
Theddeus T. Akano, Chinemerem C. James
Beni-Suef University Journal of Basic and Applied Sciences (2022) Vol. 11, Iss. 1
Open Access | Times Cited: 18
Analyze Important Features of PIMA Indian Database For Diabetes Prediction Using KNN
Aziz Perdana, Arief Hermawan, Donny Avianto
Jurnal Sisfokom (Sistem Informasi dan Komputer) (2023) Vol. 12, Iss. 1, pp. 70-75
Open Access | Times Cited: 9
Exploring Hyper-Parameters and Feature Selection for Predicting Non-Communicable Chronic Disease Using Stacking Classifier
Pooja Yadav, S. C. Sharma, Rajesh Mahadeva, et al.
IEEE Access (2023) Vol. 11, pp. 80030-80055
Open Access | Times Cited: 9
A comparative approach to alleviating the prevalence of diabetes mellitus using machine learning
Md. Rifatul Islam, Semonti Banik, Kazi Naimur Rahman, et al.
Computer Methods and Programs in Biomedicine Update (2023) Vol. 4, pp. 100113-100113
Open Access | Times Cited: 7
Diabetes Prediction using Enhanced and Optimized DRL-CNN Approaches
Usha Nandhini A, K. Dharmarajan, Bhisham Sharma, et al.
(2024), pp. 278-283
Closed Access | Times Cited: 2
Stacking with Recursive Feature Elimination-Isolation Forest for classification of diabetes mellitus
Nur Farahaina Idris, Mohd Arfian Ismail, M. Izham Jaya, et al.
PLoS ONE (2024) Vol. 19, Iss. 5, pp. e0302595-e0302595
Open Access | Times Cited: 2
Investigating Gender and Age Variability in Diabetes Prediction: A Multi-Model Ensemble Learning Approach
Rishi Jain, Nitin Kumar Tripathi, Millie Pant, et al.
IEEE Access (2024) Vol. 12, pp. 71535-71554
Open Access | Times Cited: 2
Analysis of Diabetes mellitus using Machine Learning Techniques
Salliah Shafi Bhat, Venkatesan Selvam, Gufran Ahmad Ansari, et al.
(2022), pp. 1-5
Closed Access | Times Cited: 11
A multi-crop disease identification approach based on residual attention learning
K. Kirti, Navin Rajpal
Journal of Intelligent Systems (2023) Vol. 32, Iss. 1
Open Access | Times Cited: 6
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