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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:

Prediction of Type 2 Diabetes using Machine Learning Classification Methods
Neha Prerna Tigga, Shruti Garg
Procedia Computer Science (2020) Vol. 167, pp. 706-716
Open Access | Times Cited: 283

Showing 1-25 of 283 citing articles:

Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda
Yogesh Kumar, Apeksha Koul, Ruchi Singla, et al.
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 7, pp. 8459-8486
Open Access | Times Cited: 633
Evaluation of artificial intelligence techniques in disease diagnosis and prediction
Nafiseh Ghaffar Nia, Erkan Kaplanoğlu, Ahad Nasab
Discover Artificial Intelligence (2023) Vol. 3, Iss. 1
Open Access | Times Cited: 183
Prediction of Type 2 Diabetes Based on Machine Learning Algorithm
Henock M. Deberneh, Intaek Kim
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 6, pp. 3317-3317
Open Access | Times Cited: 161
Machine learning based diabetes prediction and development of smart web application
Nazin Ahmed, Rayhan Ahammed, Md. Manowarul Islam, et al.
International Journal of Cognitive Computing in Engineering (2021) Vol. 2, pp. 229-241
Open Access | Times Cited: 107
An Ensemble Approach to Predict Early-Stage Diabetes Risk Using Machine Learning: An Empirical Study
Umm e Laila, Khalid Mahboob, Abdul Wahid Khan, et al.
Sensors (2022) Vol. 22, Iss. 14, pp. 5247-5247
Open Access | Times Cited: 100
An ensemble Machine Learning approach for predicting Type-II diabetes mellitus based on lifestyle indicators
Shahid Mohammad Ganie, Majid Bashir Malik
Healthcare Analytics (2022) Vol. 2, pp. 100092-100092
Open Access | Times Cited: 75
Diagnostic capabilities of ChatGPT in ophthalmology
Asaf Shemer, Michal Cohen, Aya Altarescu, et al.
Graefe s Archive for Clinical and Experimental Ophthalmology (2024) Vol. 262, Iss. 7, pp. 2345-2352
Closed Access | Times Cited: 23
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
A novel stacking technique for prediction of diabetes
Satish Kumar Kalagotla, Suryakanth V. Gangashetty, Kanuri Giridhar
Computers in Biology and Medicine (2021) Vol. 135, pp. 104554-104554
Closed Access | Times Cited: 90
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
Using Recurrent Neural Networks for Predicting Type-2 Diabetes from Genomic and Tabular Data
Parvathaneni Naga Srinivasu, Jana Shafi, T. Balamurali Krishna, et al.
Diagnostics (2022) Vol. 12, Iss. 12, pp. 3067-3067
Open Access | Times Cited: 59
Voting Classification-Based Diabetes Mellitus Prediction Using Hypertuned Machine-Learning Techniques
Zaigham Mushtaq, Muhammad Farhan Ramzan, Sikandar Ali, et al.
Mobile Information Systems (2022) Vol. 2022, pp. 1-16
Open Access | Times Cited: 57
The Role of Machine Learning and Design of Experiments in the Advancement of Biomaterial and Tissue Engineering Research
Ghayadah Al-Kharusi, Nicholas Dunne, Suzanne Little, et al.
Bioengineering (2022) Vol. 9, Iss. 10, pp. 561-561
Open Access | Times Cited: 55
Ambient Assistive Living for Monitoring the Physical Activity of Diabetic Adults through Body Area Networks
Parvathaneni Naga Srinivasu, G. JayaLakshmi, Rutvij H. Jhaveri, et al.
Mobile Information Systems (2022) Vol. 2022, pp. 1-18
Open Access | Times Cited: 49
Machine learning for predicting chronic diseases: a systematic review
Felipe Mendes Delpino, Ândria Krolow Costa, Sabrina Ribeiro Farias, et al.
Public Health (2022) Vol. 205, pp. 14-25
Closed Access | Times Cited: 47
An Advance Approach for Diabetes Detection by Implementing Machine Learning Algorithms
Shagun Preet Kour, Abhishek Kumar, Sachin Ahuja
2022 IEEE World Conference on Applied Intelligence and Computing (AIC) (2023), pp. 136-141
Closed Access | Times Cited: 39
Efficient prediction of early-stage diabetes using XGBoost classifier with random forest feature selection technique
Serdar Gündoğdu
Multimedia Tools and Applications (2023) Vol. 82, Iss. 22, pp. 34163-34181
Open Access | Times Cited: 37
Improving SVM performance for type II diabetes prediction with an improved non-linear kernel: Insights from the PIMA dataset
Md. Shamim Reza, Umme Hafsha, Ruhul Amin, et al.
Computer Methods and Programs in Biomedicine Update (2023) Vol. 4, pp. 100118-100118
Open Access | Times Cited: 32
Predictive Modeling and Analytics for Diabetes using Hyperparameter tuned Machine Learning Techniques
Subhash Chandra Gupta, Noopur Goel
Procedia Computer Science (2023) Vol. 218, pp. 1257-1269
Open Access | Times Cited: 27
A Comparison of Machine Learning Techniques for the Detection of Type-2 Diabetes Mellitus: Experiences from Bangladesh
Md. Jamal Uddin, Md. Martuza Ahamad, Md. Nesarul Hoque, et al.
Information (2023) Vol. 14, Iss. 7, pp. 376-376
Open Access | Times Cited: 26
Machine Learning Based Diabetes Detection Model for False Negative Reduction
Md Ashraf Uddin, Md. Manowarul Islam, Md. Alamin Talukder, et al.
Deleted Journal (2023) Vol. 2, Iss. 1, pp. 427-443
Open Access | Times Cited: 24
A comprehensive review for chronic disease prediction using machine learning algorithms
Rakibul Islam, Azrin Sultana, Mohammad Rashedul Islam
Journal of Electrical Systems and Information Technology (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 10
Toward reliable diabetes prediction: Innovations in data engineering and machine learning applications
Md. Alamin Talukder, Md. Manowarul Islam, Md Ashraf Uddin, et al.
Digital Health (2024) Vol. 10
Open Access | Times Cited: 10
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
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
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