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: 123
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: 123
Showing 1-25 of 123 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: 31
Anichur Rahman, Tanoy Debnath, Dipanjali Kundu, et al.
AIMS Public Health (2024) Vol. 11, Iss. 1, pp. 58-109
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
Md. Shamim Reza, Ruhul Amin, Rubia Yasmin, et al.
Heliyon (2024) Vol. 10, Iss. 2, pp. e24536-e24536
Open Access | Times Cited: 17
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: 26
Toly Chen, Hsin‐Chieh Wu, Min-Chi Chiu
Applied Soft Computing (2023) Vol. 152, pp. 111183-111183
Closed Access | Times Cited: 26
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: 10
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: 10
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: 8
Ifra Shaheen, Nadeem Javaid, Nabil Alrajeh, et al.
IEEE Access (2024) Vol. 12, pp. 66516-66538
Open Access | Times Cited: 8
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: 7
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: 7
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: 20
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: 20
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
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
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: 15
Mowafaq Salem Alzboon, Mohammad Subhi Al-Batah, Muhyeeddin Alqaraleh, et al.
(2023), pp. 1-12
Closed Access | Times Cited: 15
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: 6
A. Rosline Mary, P. Kavitha
Multimedia Tools and Applications (2024) Vol. 83, Iss. 27, pp. 69797-69824
Closed Access | Times Cited: 6
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: 6
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: 6
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: 6
Parvathaneni Naga Srinivasu, Shakeel Ahmed, M. Hassaballah, et al.
Heliyon (2024) Vol. 10, Iss. 16, pp. e36112-e36112
Open Access | Times Cited: 6
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
Inam Abousaber, H. Abdallah, Hany El-Ghaish
Frontiers in Artificial Intelligence (2025) Vol. 7
Open Access
Paving the Roadmap for XAI and IML in Healthcare: Data-Driven Discoveries and the FIXAIH Framework
Saeed M. Alghamdi, Rashid Mehmood, Fahad Alqurashi, et al.
(2025)
Closed Access
Saeed M. Alghamdi, Rashid Mehmood, Fahad Alqurashi, et al.
(2025)
Closed Access
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
Shizhan Ma, Mian Zhang, Wenxiu Sun, et al.
(2025) Vol. 1, Iss. 1, pp. 100006-100006
Open Access
Construction of a health literacy prediction model for diabetic patients: A multicenter study
Zepeng Wang, Guangyu Tian, Fangyuan Jiang, et al.
Digital Health (2025) Vol. 11
Open Access
Zepeng Wang, Guangyu Tian, Fangyuan Jiang, et al.
Digital Health (2025) Vol. 11
Open Access
REMED-T2D: A robust ensemble learning model for early detection of type 2 diabetes using healthcare dataset
Le Thi Phan, Rajan Rakkiyappan, Balachandran Manavalan
Computers in Biology and Medicine (2025) Vol. 187, pp. 109771-109771
Closed Access
Le Thi Phan, Rajan Rakkiyappan, Balachandran Manavalan
Computers in Biology and Medicine (2025) Vol. 187, pp. 109771-109771
Closed Access
Metaheuristic Feature Selection for Diabetes Prediction with P-G-S Approach
M. Karuppasamy, Jansi Rani M, K. Poorani
Procedia Computer Science (2025) Vol. 252, pp. 165-171
Open Access
M. Karuppasamy, Jansi Rani M, K. Poorani
Procedia Computer Science (2025) Vol. 252, pp. 165-171
Open Access
An Explainable AI Framework for Comparative Analysis of the Model Explanations in Breast Cancer Prediction
Ghazaleh Emadi, Ana Belén Gil González
Lecture notes in networks and systems (2025), pp. 21-30
Closed Access
Ghazaleh Emadi, Ana Belén Gil González
Lecture notes in networks and systems (2025), pp. 21-30
Closed 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
Mehroush Banday, Sherin Zafar, Parul Agarwal, et al.
Smart innovation, systems and technologies (2025), pp. 491-507
Closed Access
Deciphering Diabetes: Illuminating Prognostic Insights with an Interpretable Machine Learning Framework
Mohammad Abu Tareq Rony, Mohammad Shariful Islam, Pritom Saha, et al.
Smart innovation, systems and technologies (2025), pp. 137-148
Closed Access
Mohammad Abu Tareq Rony, Mohammad Shariful Islam, Pritom Saha, et al.
Smart innovation, systems and technologies (2025), pp. 137-148
Closed Access
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
Razan Alkhanbouli, Hour Matar Abdulla Almadhaani, Farah Alhosani, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access
Prediction Models for Diabetes in Children and Adolescents: A Review
L. Cvetićanin, Marko Arsenović
Applied Sciences (2025) Vol. 15, Iss. 6, pp. 2906-2906
Open Access
L. Cvetićanin, Marko Arsenović
Applied Sciences (2025) Vol. 15, Iss. 6, pp. 2906-2906
Open Access
Diabetes Monitoring and Prediction Using Computational Intelligence Techniques: A Systematic Review
Padmalaya Nayak, J. Jyothi, V. Chinnari Harika, et al.
SN Computer Science (2025) Vol. 6, Iss. 3
Closed Access
Padmalaya Nayak, J. Jyothi, V. Chinnari Harika, et al.
SN Computer Science (2025) Vol. 6, Iss. 3
Closed Access
