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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:

Early prediction of high-cost inpatients with ischemic heart disease using network analytics and machine learning
Ping Yang, Hang Qiu, Liya Wang, et al.
Expert Systems with Applications (2022) Vol. 210, pp. 118541-118541
Closed Access | Times Cited: 13

Showing 13 citing articles:

Disease Prediction Using Graph Machine Learning Based on Electronic Health Data: A Review of Approaches and Trends
Haohui Lu, Shahadat Uddin
Healthcare (2023) Vol. 11, Iss. 7, pp. 1031-1031
Open Access | Times Cited: 30
Risk prediction of heart failure in patients with ischemic heart disease using network analytics and stacking ensemble learning
Dejia Zhou, Hang Qiu, Liya Wang, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 13
Machine learning applications in preventive healthcare: A systematic literature review on predictive analytics of disease comorbidity from multiple perspectives
Duo Xu, Zeshui Xu
Artificial Intelligence in Medicine (2024) Vol. 156, pp. 102950-102950
Closed Access | Times Cited: 4
A Machine Learning-Based Web Application for Heart Disease Prediction
J. Jasmine Gabriel
Intelligent Control and Automation (2024) Vol. 15, Iss. 01, pp. 9-27
Open Access | Times Cited: 3
Comparative Analysis of Machine Learning Algorithms for Health Insurance Pricing
Yoon-Teck Bau, Sajid Hanif
JOIV International Journal on Informatics Visualization (2024) Vol. 8, Iss. 1, pp. 481-481
Open Access | Times Cited: 1
SAGL: A self-attention-based graph learning framework for predicting survival of colorectal cancer patients
Ping Yang, Hang Qiu, Xulin Yang, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 249, pp. 108159-108159
Closed Access | Times Cited: 1
Cost prediction for ischemic heart disease hospitalization: Interpretable feature extraction using network analysis
Kaidi Gong, Yajun Xue, Lingyun Kong, et al.
Journal of Biomedical Informatics (2024) Vol. 154, pp. 104652-104652
Closed Access | Times Cited: 1
DCNeT: A disease comorbidity network-based temporal deep learning framework to predict cardiovascular risk in patients with mental disorders
Hang Qiu, Ping Yang, Liya Wang
Expert Systems with Applications (2024) Vol. 254, pp. 124312-124312
Closed Access | Times Cited: 1
Extensive Review on Predicting Heart Disease Using Machine Learning and Deep Learning Techniques
S. Hemalatha, T. Kavitha, K. Chitra, et al.
2022 International Conference on Computer Communication and Informatics (ICCCI) (2023) Vol. 8, pp. 1-7
Closed Access | Times Cited: 3
A Prediction Method of Diabetes Comorbidity Based on Non-negative Latent Features
Leming Zhou, Kechen Liu, Yonghong Wang, et al.
Neurocomputing (2024) Vol. 609, pp. 128447-128447
Closed Access
Comorbidity progression analysis: patient stratification and comorbidity prediction using temporal comorbidity network
Liang Ye, Chonghui Guo, Hailin Li
Health Information Science and Systems (2024) Vol. 12, Iss. 1
Closed Access
Advanced Machine Learning for Risk Assessment of Cardiovascular Disease
Yash Mahajan, Er. Arshdeep, Devansh Saxena, et al.
(2023), pp. 1-6
Closed Access
Predicting Colorectal Cancer Survival Using Time-to-Event Machine Learning: Retrospective Cohort Study (Preprint)
Xulin Yang, Hang Qiu, Liya Wang, et al.
(2022)
Open Access
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