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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 prediction using machine learning and explainable AI techniques
Isfafuzzaman Tasin, Tansin Ullah Nabil, Sanjida Islam, et al.
Healthcare Technology Letters (2022) Vol. 10, Iss. 1-2, pp. 1-10
Open Access | Times Cited: 141

Showing 1-25 of 141 citing articles:

Machine learning and deep learning-based approach in smart healthcare: Recent advances, applications, challenges and opportunities
Anichur Rahman, Tanoy Debnath, Dipanjali Kundu, et al.
AIMS Public Health (2024) Vol. 11, Iss. 1, pp. 58-109
Open Access | Times Cited: 43
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: 19
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 | Times Cited: 4
Artificial intelligence and medical-engineering integration in diabetes management: Advances, opportunities, and challenges
Shizhan Ma, Mian Zhang, Wenxiu Sun, et al.
(2025) Vol. 1, Iss. 1, pp. 100006-100006
Open Access | Times Cited: 3
A deep neural network with modified random forest incremental interpretation approach for diagnosing diabetes in smart healthcare
Toly Chen, Hsin‐Chieh Wu, Min-Chi Chiu
Applied Soft Computing (2023) Vol. 152, pp. 111183-111183
Closed Access | Times Cited: 32
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: 26
Enhancing personalized learning: AI-driven identification of learning styles and content modification strategies
Md. Kabin Hasan Kanchon, Mahir Sadman, Kaniz Fatema Nabila, et al.
International Journal of Cognitive Computing in Engineering (2024) Vol. 5, pp. 269-278
Open Access | Times Cited: 14
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
Hi-Le and HiTCLe: Ensemble Learning Approaches for Early Diabetes Detection Using Deep Learning and Explainable Artificial Intelligence
Ifra Shaheen, Nadeem Javaid, Nabil Alrajeh, et al.
IEEE Access (2024) Vol. 12, pp. 66516-66538
Open Access | Times Cited: 10
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: 9
An Explainable Artificial Intelligence Software System for Predicting Diabetes
Parvathaneni Naga Srinivasu, Shakeel Ahmed, M. Hassaballah, et al.
Heliyon (2024) Vol. 10, Iss. 16, pp. e36112-e36112
Open Access | Times Cited: 9
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 | Times Cited: 1
The role of explainable artificial intelligence in disease prediction: a systematic literature review and future research directions
Razan Alkhanbouli, Hour Matar Abdulla Almadhaani, Farah Alhosani, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access | Times Cited: 1
Transparency in Text
Madhan Veeramani, P. Karthick, S. Venkateswaran, et al.
(2025), pp. 131-160
Closed Access | Times Cited: 1
Sequential classification approach for enhancing the assessment of cardiac autonomic neuropathy
Moustafa Abdelwanis, Karim Moawad, S M Elbaz Mohammed, et al.
Computers in Biology and Medicine (2025) Vol. 190, pp. 109999-109999
Open Access | Times Cited: 1
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: 21
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: 20
Diabetic retinopathy disease detection using shapley additive ensembled densenet-121 resnet-50 model
A. Rosline Mary, P. Kavitha
Multimedia Tools and Applications (2024) Vol. 83, Iss. 27, pp. 69797-69824
Closed Access | Times Cited: 7
Diabetes prediction model using machine learning techniques
Sandip Kumar Singh Modak, Vijay Kumar Jha
Multimedia Tools and Applications (2023) Vol. 83, Iss. 13, pp. 38523-38549
Closed Access | Times Cited: 14
Analyzing classification and feature selection strategies for diabetes prediction across diverse diabetes datasets
Jayakumar Kaliappan, Indrajeet Kumar, S. Sundaravelan, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 5
Explainable deep learning for diabetes diagnosis with DeepNetX2
Sharia Arfin Tanim, Al Rafi Aurnob, Tahmid Enam Shrestha, et al.
Biomedical Signal Processing and Control (2024) Vol. 99, pp. 106902-106902
Closed Access | Times Cited: 5
Imbalanced class distribution and performance evaluation metrics: A systematic review of prediction accuracy for determining model performance in healthcare systems
Michael Owusu-Adjei, James Ben Hayfron-Acquah, Frimpong Twum, et al.
PLOS Digital Health (2023) Vol. 2, Iss. 11, pp. e0000290-e0000290
Open Access | Times Cited: 13
Optimized Deep Belief Networks Based Categorization of Type 2 Diabetes using Tabu Search Optimization
Smita Panigrahy, Sachikanta Dash, Sasmita Padhy
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 3
Open Access | Times Cited: 4
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: 4
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