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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 Proposed Technique Using Machine Learning for the Prediction of Diabetes Disease through a Mobile App
Hosam F. El-Sofany, Samir Abou El-Seoud, Omar H. Karam, et al.
International Journal of Intelligent Systems (2024) Vol. 2024, pp. 1-13
Open Access | Times Cited: 12

Showing 12 citing articles:

A proposed technique for predicting heart disease using machine learning algorithms and an explainable AI method
Hosam F. El-Sofany, Belgacem Bouallègue, Yasser M. Abd El-Latif
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 13
Predicting Heart Diseases Using Machine Learning and Different Data Classification Techniques
Hosam F. El-Sofany
IEEE Access (2024) Vol. 12, pp. 106146-106160
Open Access | Times Cited: 6
Type 2 diabetes prediction method based on dual-teacher knowledge distillation and feature enhancement
Jian Zhao, Hanlin Gao, Lei Sun, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Diabetes Prediction using Ensemble Learning Techniques
Dip Das, Aayushman, Sourav Kumar, et al.
Procedia Computer Science (2025) Vol. 258, pp. 3155-3164
Open Access
A dynamic model using k-NN algorithm for predicting diabetes and breast cancer
Hussein A. A. Al-Khamees, Nor Samsiah Sani, Ahmed Sileh Gifal, et al.
Computers in Biology and Medicine (2025) Vol. 192, pp. 110276-110276
Open Access
Machine learning-based assessment of diabetes risk
Qi Sun, Xin Cheng, Kuo Han, et al.
Applied Intelligence (2024) Vol. 55, Iss. 2
Closed Access | Times Cited: 1
An Effective Feature Selection for Type II Diabetes Prediction
Ghazaleh Kakavand Teimoory, Mohammad Reza Keyvanpour
(2024), pp. 64-69
Closed Access
Multifunctional Pre-processing Approach for Diabetes Mellitus Prediction Using Ensemble Learning
S. Divya, M. Sudha
(2024), pp. 1-6
Closed Access
Evaluate the Predictive Performance of Supervised Machine Learning Algorithms in Diabetes Dataset
Md Jamaner Rahaman
International Journal of Science and Research (IJSR) (2024) Vol. 13, Iss. 7, pp. 538-543
Open Access
Artificial Intelligence-Based Healthcare Data Analysis Using Multi-perceptron Neural Network (MPNN) Based On Optimal Feature Selection
M. Ramkumar Raja
SN Computer Science (2024) Vol. 5, Iss. 8
Closed Access
Integrating Multi-Omics Data for Advanced Diabetes Prediction and Understanding
Soumya Ranjan Mishra, Sachikanta Dash, Sasmita Padhy, et al.
(2024), pp. 1447-1453
Closed Access
Machine Learning-Based Monitoring and Prognosis of Chronic Kidney Disease Patients
Sandeep P. Abhang, Manoj Tarambale, Ali Esnaashariyeh, et al.
(2023), pp. 1-6
Closed Access
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