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:
A cluster-based ensemble approach for congenital heart disease prediction
Ishleen Kaur, Tanvir Ahmad
Computer Methods and Programs in Biomedicine (2023) Vol. 243, pp. 107922-107922
Closed Access | Times Cited: 7
Ishleen Kaur, Tanvir Ahmad
Computer Methods and Programs in Biomedicine (2023) Vol. 243, pp. 107922-107922
Closed Access | Times Cited: 7
Showing 7 citing articles:
Prediction Models for Early Detection of Alzheimer: Recent Trends and Future Prospects
Ishleen Kaur, Rajinder K. Sachdeva
Archives of Computational Methods in Engineering (2025)
Closed Access | Times Cited: 1
Ishleen Kaur, Rajinder K. Sachdeva
Archives of Computational Methods in Engineering (2025)
Closed Access | Times Cited: 1
Optimizing stability of heart disease prediction across imbalanced learning with interpretable Grow Network
Simon Bin Akter, Sumya Akter, Rakibul Hasan, et al.
Computer Methods and Programs in Biomedicine (2025), pp. 108702-108702
Closed Access
Simon Bin Akter, Sumya Akter, Rakibul Hasan, et al.
Computer Methods and Programs in Biomedicine (2025), pp. 108702-108702
Closed Access
Screening for Anomalous Safety Condition Among Existing Buildings Using Explainable Machine Learning
Jie Liu, Guiwen Liu, Neng Wang, et al.
Structural Control and Health Monitoring (2025) Vol. 2025, Iss. 1
Open Access
Jie Liu, Guiwen Liu, Neng Wang, et al.
Structural Control and Health Monitoring (2025) Vol. 2025, Iss. 1
Open Access
Machine learning and multi-omics integration: advancing cardiovascular translational research and clinical practice
Mingzhi Lin, Jiuqi Guo, Zhilin Gu, et al.
Journal of Translational Medicine (2025) Vol. 23, Iss. 1
Open Access
Mingzhi Lin, Jiuqi Guo, Zhilin Gu, et al.
Journal of Translational Medicine (2025) Vol. 23, Iss. 1
Open Access
Development and Validation of a Machine Learning Algorithm to Predict the Risk of Blood Transfusion after Total Hip Replacement in Patients with Femoral Neck Fractures: A Multicenter Retrospective Cohort Study
Jieyang Zhu, Chenxi Xu, Yi Jiang, et al.
Orthopaedic Surgery (2024) Vol. 16, Iss. 8, pp. 2066-2080
Open Access
Jieyang Zhu, Chenxi Xu, Yi Jiang, et al.
Orthopaedic Surgery (2024) Vol. 16, Iss. 8, pp. 2066-2080
Open Access
Identifying At-Risk Patients for Congenital Heart Disease Using Integrated Predictive Models and Fuzzy Clustering Analysis: A Cross-Sectional Study
Amirreza Salehi, Majid Khedmati
Heliyon (2024) Vol. 10, Iss. 20, pp. e39609-e39609
Open Access
Amirreza Salehi, Majid Khedmati
Heliyon (2024) Vol. 10, Iss. 20, pp. e39609-e39609
Open Access
Development of machine learning-based models to predict congenital heart disease: A matched case-control study
Shutong Zhang, Chenxi Kang, Jing Cui, et al.
International Journal of Medical Informatics (2024) Vol. 195, pp. 105741-105741
Closed Access
Shutong Zhang, Chenxi Kang, Jing Cui, et al.
International Journal of Medical Informatics (2024) Vol. 195, pp. 105741-105741
Closed Access
