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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:

Comparison of machine learning and conventional logistic regression-based prediction models for gestational diabetes in an ethnically diverse population; the Monash GDM Machine learning model
Yitayeh Belsti, Lisa J. Moran, Lan Du, et al.
International Journal of Medical Informatics (2023) Vol. 179, pp. 105228-105228
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Prediction of bank credit worthiness through credit risk analysis: an explainable machine learning study
Victor Chang, Qianwen Xu, Shola Habib Akinloye, et al.
Annals of Operations Research (2024)
Open Access | Times Cited: 6
The role of machine learning algorithms in detection of gestational diabetes; a narrative review of current evidence
Emmanuel Kokori, Gbolahan Olatunji, Nicholas Aderinto, et al.
Clinical Diabetes and Endocrinology (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 5
Development and validation of a prediction model for coronary heart disease risk in depressed patients aged 20 years and older using machine learning algorithms
Yicheng Wang, C.H. Wu, Hongliang Fu, et al.
Frontiers in Cardiovascular Medicine (2025) Vol. 11
Open Access
Predicting low density lipoprotein cholesterol target attainment using machine learning in patients with coronary artery disease receiving moderate-dose statin therapy
Jiye Han, Yunha Kim, Hee Jun Kang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Early gestational diabetes mellitus risk predictor using neural network with NearMiss
Min Zhao, Xiaojie Su, Lihong Huang
Gynecological Endocrinology (2025) Vol. 41, Iss. 1
Open Access
Machine learning based model for the early detection of Gestational Diabetes Mellitus
Hesham Zaky, Eleni Fthenou, Luma Srour, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access
Exploring Primary and Interaction Effects of Minor Physical Anomalies: Development and Validation of Prediction Models Using Explainable Machine Learning Algorithms for Early-Onset Schizophrenia
Chih-Wei Lin, Jin‐Jia Lin, Huai‐Hsuan Tseng, et al.
Schizophrenia Bulletin (2025)
Closed Access
Prediction of neurologic outcome after out-of-hospital cardiac arrest: An interpretable approach with machine learning
Araz Rawshani, Fredrik Hessulf, John Deminger, et al.
Resuscitation (2024) Vol. 202, pp. 110359-110359
Closed Access | Times Cited: 3
Enhancing Diabetes Prediction and Prevention through Mahalanobis Distance and Machine Learning Integration
Khongorzul Dashdondov, Suehyun Lee, Munkh‐Uchral Erdenebat
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 7480-7480
Open Access | Times Cited: 3
Spatial Correlation between the Changes in Supply and Demand for Water-Related Ecosystem Services
Yuncheng Jiang, Bin Ouyang, Zhigang Yan
ISPRS International Journal of Geo-Information (2024) Vol. 13, Iss. 3, pp. 68-68
Open Access | Times Cited: 2
Knowledge framework of intravenous immunoglobulin resistance in the field of Kawasaki disease: A bibliometric analysis (1997−2023)
J Zhang, Hongbiao Huang, Lei Xu, et al.
Immunity Inflammation and Disease (2024) Vol. 12, Iss. 5
Open Access | Times Cited: 2
Recent applications and perspectives of logistic regression modelling in healthcare
Qianyou Ma
Theoretical and Natural Science (2024) Vol. 36, Iss. 1, pp. 185-190
Open Access | Times Cited: 2
Leveraging Shapley Additive Explanations for Feature Selection in Ensemble Models for Diabetes Prediction
Prasant Mohanty, Sharmila Anand John Francis, Rabindra K. Barik, et al.
Bioengineering (2024) Vol. 11, Iss. 12, pp. 1215-1215
Open Access | Times Cited: 2
Routine screening for gestational diabetes: a review
Minhazur Sarker, Gladys Ramos
Current Opinion in Obstetrics & Gynecology (2024) Vol. 36, Iss. 2, pp. 97-103
Closed Access | Times Cited: 1
Development and validation of machine learning-based models for predicting healthcare-associated bacterial/fungal infections among COVID-19 inpatients: a retrospective cohort study
Min Wang, Wenjuan Li, Hui Wang, et al.
Antimicrobial Resistance and Infection Control (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 1
Prediction of pre-eclampsia with machine learning approaches: Leveraging important information from routinely collected data
Sofonyas Abebaw Tiruneh, Daniel L. Rolnik, Helena Teede, et al.
International Journal of Medical Informatics (2024) Vol. 192, pp. 105645-105645
Open Access | Times Cited: 1
Machine Learning-Based Trustworthy Diabetes Prediction Model
Aruna Devi B, N. Karthik
(2024), pp. 400-402
Closed Access | Times Cited: 1
The construction of machine learning-based predictive models for high-quality embryo formation in poor ovarian response patients with progestin-primed ovarian stimulation
Yu-Heng Xiao, Yulin Hu, Xing-Yu Lv, et al.
Reproductive Biology and Endocrinology (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 1
Prediction models for cognitive frailty in community-dwelling older adults: A scoping review
Yixiong Zhang, Hui Xue, Haozhi Xia, et al.
Geriatric Nursing (2024) Vol. 60, pp. 448-455
Closed Access | Times Cited: 1
Dietary inflammatory index as a predictor of prediabetes in women with previous gestational diabetes mellitus
Yanhong Xu, Zhenyu Yao, Jiayi Lin, et al.
Diabetology & Metabolic Syndrome (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 1
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
Analysis of Gestational Diabetes Mellitus (GDM) and Its Impact on Maternal and Fetal Health: A Comprehensive Dataset Study Using Data Analytic Tool Power BI
Shahistha Jabeen Hashim, Arthur McAdams
Journal of Data Analysis and Information Processing (2024) Vol. 12, Iss. 02, pp. 232-247
Open Access
Leveraging Machine Learning Models for Trustworthy Prediction of Diabetes
Aruna Devi B, N. Karthik
(2024), pp. 1872-1875
Closed Access
Optimizing machine learning algorithms for diabetes data: A metaheuristic approach to balancing and tuning classifiers parameters
Hauwau Abdulrahman Aliyu, Ibrahim Olawale Muritala, Habeeb Bello-Salau, et al.
Franklin Open (2024) Vol. 8, pp. 100153-100153
Open Access
First‐Trimester Prediction Models Based on Maternal Characteristics for Adverse Pregnancy Outcomes: A Systematic Review and Meta‐Analysis
Jacintha C. A. van Eekhout, Ellis C. Becking, P Scheffer, et al.
BJOG An International Journal of Obstetrics & Gynaecology (2024)
Open Access
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