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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:

Machine Learning Tools for Long-Term Type 2 Diabetes Risk Prediction
Nikos Fazakis, Otilia Kocsis, Ηλίας Δρίτσας, et al.
IEEE Access (2021) Vol. 9, pp. 103737-103757
Open Access | Times Cited: 95

Showing 1-25 of 95 citing articles:

Stroke Risk Prediction with Machine Learning Techniques
Ηλίας Δρίτσας, Μαρία Τρίγκα
Sensors (2022) Vol. 22, Iss. 13, pp. 4670-4670
Open Access | Times Cited: 171
Supervised Machine Learning Models for Liver Disease Risk Prediction
Ηλίας Δρίτσας, Μαρία Τρίγκα
Computers (2023) Vol. 12, Iss. 1, pp. 19-19
Open Access | Times Cited: 66
Efficient Data-Driven Machine Learning Models for Cardiovascular Diseases Risk Prediction
Ηλίας Δρίτσας, Μαρία Τρίγκα
Sensors (2023) Vol. 23, Iss. 3, pp. 1161-1161
Open Access | Times Cited: 59
A scoping review of artificial intelligence-based methods for diabetes risk prediction
Farida Mohsen, Hamada R. H. Al-Absi, Noha A. Yousri, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 55
Data-Driven Machine-Learning Methods for Diabetes Risk Prediction
Ηλίας Δρίτσας, Μαρία Τρίγκα
Sensors (2022) Vol. 22, Iss. 14, pp. 5304-5304
Open Access | Times Cited: 67
Long-Term Coronary Artery Disease Risk Prediction with Machine Learning Models
Μαρία Τρίγκα, Ηλίας Δρίτσας
Sensors (2023) Vol. 23, Iss. 3, pp. 1193-1193
Open Access | Times Cited: 38
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: 25
IoT-Based Hybrid Ensemble Machine Learning Model for Efficient Diabetes Mellitus Prediction
Sasmita Padhy, Sachikanta Dash, Sidheswar Routray, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 34
Techniques of Machine Learning for the Purpose of Predicting Diabetes Risk in PIMA Indians
Bhukya Madhu, Veerender Aerranagula, Riyaz Mahomad, et al.
E3S Web of Conferences (2023) Vol. 430, pp. 01151-01151
Open Access | Times Cited: 23
Machine Learning Methods for Hypercholesterolemia Long-Term Risk Prediction
Ηλίας Δρίτσας, Μαρία Τρίγκα
Sensors (2022) Vol. 22, Iss. 14, pp. 5365-5365
Open Access | Times Cited: 24
Explainable machine learning framework for predicting long-term cardiovascular disease risk among adolescents
Haya Salah, Sharan Srinivas
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 23
An approach for Personalized Continuous Glucose Prediction with Regression Trees
Sotiris Alexiou, Ηλίας Δρίτσας, Otilia Kocsis, et al.
(2021), pp. 1-6
Closed Access | Times Cited: 29
Hepatitis C prediction using SVM, logistic regression and decision tree
Anjuman Ara, Anhar Sami, D. Michael, et al.
World Journal of Advanced Research and Reviews (2024) Vol. 22, Iss. 2, pp. 926-936
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
Impact of Artificial Intelligence in Nursing for Geriatric Clinical Care for Chronic Diseases: A Systematic Literature Review
Mahdieh Poodineh Moghadam, Zabih Allah Moghadam, Mohammad Reza Chalak Qazani, et al.
IEEE Access (2024) Vol. 12, pp. 122557-122587
Open Access | Times Cited: 4
Internet of Medical Things (IoMT) and Reflective Belief Design-Based Big Data Analytics with Convolution Neural Network-Metaheuristic Optimization Procedure (CNN-MOP)
A. Sampathkumar, Miretab Tesfayohani, Shishir Kumar Shandilya, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 19
Impact of machine learning on dietary and exercise behaviors in type 2 diabetes self-management: a systematic literature review
Rizwan Riaz Mir, Nazeef Ul Haq, Kashif Ishaq, et al.
PeerJ Computer Science (2025) Vol. 11, pp. e2568-e2568
Open Access
The effects of the generative adversarial network and personalized virtual reality platform in improving frailty among the elderly
Zhendong Yu, Jianwu Dang
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Mobile Applications and Wearable in PCOS Nutrition: mHealth Solutions and Personalized Health Monitoring
Bhupinder Singh, Anand Nayyar
(2025), pp. 291-305
Closed Access
AI (Artificial Intelligence)-Coupled Self-Calibrating SERS Spectroscopy for Robust Clinical Diagnosis of Diabetes and Associated Complications
Zhigang Yang, Kaitao Lai, Shibing Long, et al.
Research Square (Research Square) (2025)
Closed Access
Advances in artificial intelligence for diabetes prediction: insights from a systematic literature review
Pir Bakhsh Khokhar, Carmine Gravino, Fabio Palomba
Artificial Intelligence in Medicine (2025), pp. 103132-103132
Open Access
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
A Comprehensive Survey on Diabetes Type-2 (T2D) Forecast Using Machine Learning
Satyanarayana Murthy Nimmagadda, Gunnam Suryanarayana, Gangu Bharath Kumar, et al.
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 5, pp. 2905-2923
Closed Access | Times Cited: 3
GlucoBreath: An IoT, ML, and Breath-Based Non-Invasive Glucose Meter
Ritu Kapur, Yashwant Kumar, Ritik Sharma, et al.
IEEE Access (2024) Vol. 12, pp. 59346-59360
Open Access | Times Cited: 3
Recent advancements using machine learning & deep learning approaches for diabetes detection: a systematic review
Neha Katiyar, Hardeo Kumar Thakur, Anindya Ghatak
e-Prime - Advances in Electrical Engineering Electronics and Energy (2024) Vol. 9, pp. 100661-100661
Open Access | Times Cited: 3
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