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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 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: 23

Showing 23 citing articles:

A novel deep learning model for early diabetes risk prediction using attention-enhanced deep belief networks with highly imbalanced data
Olusola Olabanjo, Ashiribo Senapon Wusu, Olufemi Olabanjo, et al.
International Journal of Information Technology (2025)
Open Access
Identification of Multiple Prognostic Biomarker Sets for Risk Stratification in SKCM
Shivani Malik, Ritu Tomer, Akanksha Arora, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Hybrid Ensemble Gradient Boosting Algorithm to Predict Diabetes Health Care Analytics
S. Deepa, B. Booba
Communications in computer and information science (2025), pp. 92-105
Closed Access
Deep Learning Model Approach to Predict Diabetes Type 2 Based on Clinical, Biochemical, and Gut Microbiota Profiles
Pablo Caballero-María, Javier Caballero‐Villarraso, Javier Arenas‐Montes, et al.
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 2228-2228
Open Access
Learning from the machine: is diabetes in adults predicted by lifestyle variables? A retrospective predictive modelling study of NHANES 2007–2018
Efraín Riveros-Pérez, Bibiana Avella-Molano
BMJ Open (2025) Vol. 15, Iss. 3, pp. e096595-e096595
Open Access
Internet of Things and Bigdata Analytics in Preventive Healthcare: A Synthetic Review
Urška Šajnovič, Helena Blažun Vošner, Jernej Završnik, et al.
(2024)
Open Access | Times Cited: 3
A New Classification Model Using a Decision Tree Generated from Hyperplanes in Dimensional Space
B. Luna-Benoso, J. C. Martínez-Perales, Úrsula Samantha Morales-Rodríguez, et al.
Applied Artificial Intelligence (2024) Vol. 38, Iss. 1
Open Access | Times Cited: 2
Elevating Disease Prediction: A Stacking Ensemble Learning Approach
T. Kavitha, Kammara Trivikram, Manobhi Ram Reddy B, et al.
(2024) Vol. 50, pp. 1-6
Closed Access | Times Cited: 1
Data Mining Applications in Healthcare: A Comparative Analysis of Classification Techniques for Diabetes Diagnosis Using the PIMA Indian Diabetes Dataset
Prashant Verma, Aasiya Khatoon
(2024), pp. 1-5
Closed Access | Times Cited: 1
Anti-diabetic potential of Rubus species: linking conventional knowledge with scientific developments: a review
Aroma Joshi, Vijay Kumar, Bindu Naik, et al.
Food Production Processing and Nutrition (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 1
Integrated bagging-RF learning model for diabetes diagnosis in middle-aged and elderly population
Yuanwu Shi, Jiuye Sun
PeerJ Computer Science (2024) Vol. 10, pp. e2436-e2436
Open Access | Times Cited: 1
Diabetes Prediction with Ensemble Learning Techniques in Machine Learning
S. Phani Praveen, Vamsi Saripudi, V Harshalokh, et al.
(2023), pp. 1082-1089
Closed Access | Times Cited: 2
Machine learning-based early detection of diabetes risk factors for improved health management
Praveena Nuthakki, T. Pavan Kumar
Multimedia Tools and Applications (2024)
Closed Access
Predicting Blood Glucose Level using Salivary Glucose and Other Associated Factors: A Machine Learning Model Selection and Evaluation Study
Aditi Chopra, Rohini R. Rao, Shobha Kamath, et al.
Informatics in Medicine Unlocked (2024) Vol. 48, pp. 101523-101523
Open Access
Diabetes Prediction using Hybrid Model
Rajeshwari Goudar, Nausheen Aftab
2022 IEEE 7th International conference for Convergence in Technology (I2CT) (2024), pp. 1-10
Closed Access
Apply multiple machine learning models to diabetes prediction
Shitong Qin
Applied and Computational Engineering (2024) Vol. 86, Iss. 1, pp. 240-249
Open Access
Diabetes Prediction in Machine Learning using Feature Selection: A Comparative Analysis based on Sampling Techniques
Zulchair Asy’Ari, Shintami Chusnul Hidayati, Riyanarto Sarno
(2024), pp. 221-226
Closed Access
A Scoping Review of Supervised Machine Learning Techniques in Predicting the Prevalence of Type 2 Diabetes Mellitus

Medicine & health (2024) Vol. 19, Iss. 2, pp. 380-399
Open Access
Leveraging Machine Learning to Detect and Predict Diabetes in Polycystic Ovary Syndrome Patients: A Review
Julia Ndjene, Attlee M. Gamundani, Maria Nelago Kanyama
(2024), pp. 1-8
Closed Access
A Novel Advanced Performance Ensemble-Based Model (APEM) Framework: A Case Study on Diabetes Prediction
Arda Yunianta
Journal of Advances in Information Technology (2024) Vol. 15, Iss. 10, pp. 1193-1204
Open Access
Risk Prediction of high blood glucose among women (15–49 years) and men (15–54 years) in India: An analysis from National Family Health Survey-5 (2019–21)
Anjan Kumar Karri, Visweswara Rao Guthi, P Sri Sai Githa
Journal of Family Medicine and Primary Care (2024) Vol. 13, Iss. 11, pp. 5312-5319
Open Access
Gradient Edge: Advancing Predictive Modelling with Enhanced Gradient Boosting: A Multi-Dataset Approach
Sheeja Varghese, E. J.
International Journal of Computer Applications (2024) Vol. 186, Iss. 49, pp. 1-6
Open Access
Diabetes Risk Prediction Through Fine-Tuned Gradient Boosting
Pooja Rani, Rohit Lamba, Ravi Kumar Sachdeva, et al.
Communications in computer and information science (2024), pp. 135-147
Closed Access
Diabetic Condition Classification using Supervised and Unsupervised Machine Learning Techniques: A Use Case for HealthTech Industry
Anupkumar M. Bongale, Santoshkumar Biradar, Priya Pise, et al.
(2023), pp. 1-6
Closed Access
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