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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:

Harnessing machine learning models for non-invasive pre-diabetes screening in children and adolescents
Savitesh Kushwaha, Rachana Srivastava, Rachita Jain, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 226, pp. 107180-107180
Closed Access | Times Cited: 20

Showing 20 citing articles:

Application of Machine Learning Models for Early Detection and Accurate Classification of Type 2 Diabetes
Orlando Iparraguirre-Villanueva, Karina Espinola-Linares, Rosalynn Ornella Flores-Castañeda, et al.
Diagnostics (2023) Vol. 13, Iss. 14, pp. 2383-2383
Open Access | Times Cited: 35
A machine learning-based diagnosis modelling of type 2 diabetes mellitus with environmental metal exposure
Min Zhao, Jin W, Wenzhi Qin, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 235, pp. 107537-107537
Closed Access | Times Cited: 22
Artificial Intelligence in Pediatric Endocrinology
Sabitha Sasidharan Pillai, Ambika P. Ashraf
Advances in Pediatrics (2025)
Closed Access
Artificial intelligence in paediatric endocrinology: conflict or cooperation
Paul Dimitri, Martin O. Savage
Journal of Pediatric Endocrinology and Metabolism (2024) Vol. 37, Iss. 3, pp. 209-221
Closed Access | Times Cited: 4
Artificial intelligence for automated detection of diabetic foot ulcers: A real-world proof-of-concept clinical evaluation
Bill Cassidy, Moi Hoon Yap, Joseph M Pappachan, et al.
Diabetes Research and Clinical Practice (2023) Vol. 205, pp. 110951-110951
Open Access | Times Cited: 8
Approaching Personalized Medicine: The Use of Machine Learning to Determine Predictors of Mortality in a Population with SARS-CoV-2 Infection
Mónica Queipo, Julia Barbado, Ana Torres, et al.
Biomedicines (2024) Vol. 12, Iss. 2, pp. 409-409
Open Access | Times Cited: 2
Multiomics and eXplainable artificial intelligence for decision support in insulin resistance early diagnosis: A pediatric population-based longitudinal study
Álvaro Torres-Martos, Augusto Anguita‐Ruiz, Mireia Bustos-Aibar, et al.
Artificial Intelligence in Medicine (2024) Vol. 156, pp. 102962-102962
Open Access | Times Cited: 2
Development and Validation of Machine Learning Models for Identifying Prediabetes and Diabetes in Normoglycemia
Xiaodong Zhang, Weidong Yao, Dawei Wang, et al.
Diabetes/Metabolism Research and Reviews (2024) Vol. 40, Iss. 8
Open Access | Times Cited: 2
Risk Prediction for the Development of Hyperuricemia: Model Development Using an Occupational Health Examination Dataset
Ziwei Zheng, Zhikang Si, Xuelin Wang, et al.
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 4, pp. 3411-3411
Open Access | Times Cited: 7
Machine Learning Prediction of Prediabetes in a Young Male Chinese Cohort with 5.8-Year Follow-Up
Chi-Hao Liu, Chun-Feng Chang, I‐Chien Chen, et al.
Diagnostics (2024) Vol. 14, Iss. 10, pp. 979-979
Open Access | Times Cited: 1
A smart and secured blockchain for children’s health monitoring using hybrid encryption and adaptive machine learning techniques
K. P. Revathi, T. Manikandan
Expert Systems with Applications (2024) Vol. 255, pp. 124689-124689
Closed Access | Times Cited: 1
Machine learning-based assessment of diabetes risk
Qi Sun, Xin Cheng, Kuo Han, et al.
Applied Intelligence (2024) Vol. 55, Iss. 2
Closed Access | Times Cited: 1
The Efficacy of Machine Learning Models for Predicting the Prognosis of Heart Failure: A Systematic Review and Meta-Analysis
Zhaohui Xu, Yinqin Hu, Xinyi Shao, et al.
Cardiology (2024), pp. 1-19
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
Classifying diabetes using data mining algorithms
Yoon-Teck Bau, Nurshara Batrisyia Shaifuddin, Kian-Chin Lee
AIP conference proceedings (2024) Vol. 3153, pp. 020004-020004
Closed Access
Clinical applications of artificial intelligence in diabetes management: A bibliometric analysis and comprehensive review
Alfredo Daza Vergaray, Ander J. Olivos-López, Margarita Chumbirayco Pizarro, et al.
Informatics in Medicine Unlocked (2024) Vol. 50, pp. 101567-101567
Open Access
Prediction of Diabetes in Middle-Aged Adults: A Machine Learning Approach
Gideon Addo, Bismark Amponsah Yeboah, Michael Obuobi, et al.
Journal of Diabetology (2024) Vol. 15, Iss. 4, pp. 401-408
Open Access
Hybrid statistical and machine-learning approach to hearing-loss identification based on an oversampling technique
Tang-Chuan Wang, Kai Sun, Mingchang Chih, et al.
Computers in Biology and Medicine (2024) Vol. 185, pp. 109539-109539
Closed Access
DiabPrednet: development of attention-based long short-term memory-based diabetes prediction model with optimal weighted feature fusion mechanism
S R Nagendiran, S. Rohini, P. Jagadeesan, et al.
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2023) Vol. 11, Iss. 7
Closed Access | Times Cited: 1
Prediction of Diabetes in Middle-Aged Adults: A Machine Learning Approach
Gideon Addo, Bismark Amponsah Yeboah, Michael Obuobi, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
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