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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:

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

Showing 13 citing articles:

A review of evaluation approaches for explainable AI with applications in cardiology
Ahmed Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 9
Open Access | Times Cited: 4
Development and validation of machine learning models based on stacked generalization to predict psychosocial maladjustment in patients with acute myocardial infarction
Yanfeng Wang, Xiaohan Li, Xinyi Zhou, et al.
BMC Psychiatry (2025) Vol. 25, Iss. 1
Open Access
Multi-modal heart failure risk estimation based on short ECG and sampled long-term HRV
Sergio González, Abel Ko-Chun Yi, Wan‐Ting Hsieh, et al.
Information Fusion (2024) Vol. 107, pp. 102337-102337
Open Access | Times Cited: 2
A network-based study reveals multimorbidity patterns in people with type 2 diabetes
Zizheng Zhang, Ping He, Huayan Yao, et al.
iScience (2023) Vol. 26, Iss. 10, pp. 107979-107979
Open Access | Times Cited: 5
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
Heart Disease Prediction Using Machine Learning Algorithms
M. Priya, A. Anitha, M. K. Nallakaruppan, et al.
2019 Innovations in Power and Advanced Computing Technologies (i-PACT) (2023), pp. 1-6
Open Access | Times Cited: 3
Multimodality Risk Assessment of Patients with Ischemic Heart Disease Using Deep Learning Models Applied to Electrocardiograms and Chest X-rays
Shinnosuke Sawano, Satoshi Kodera, Masataka Satô, et al.
International Heart Journal (2024) Vol. 65, Iss. 1, pp. 29-38
Open Access
Heart Disease Prediction Using Data Analysis and Effective Machine Learning Techniques
Tushar Tripathy, Mamatarani Das, Sourav Mohapatra, et al.
(2024), pp. 1-6
Closed Access
Optimization of multidimensional feature engineering and data partitioning strategies in heart disease prediction models
Shanshan Wang, Lei Zhang, Xiao Liu, et al.
Alexandria Engineering Journal (2024) Vol. 107, pp. 932-949
Open Access
Disease Network-Based Approaches to Study Comorbidity in Heart Failure: Current State and Future Perspectives
Sergio Alejandro Gómez‐Ochoa, Jan D. Lanzer, Rebecca T. Levinson
Current Heart Failure Reports (2024) Vol. 22, Iss. 1
Open Access
A Review of Evaluation Approaches for Explainable AI With Applications in Cardiology
Ahmed Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra, et al.
(2023)
Open Access | Times Cited: 1
Transfer Learning with XGBoost for Predictive Modeling in Electronic Health Records
Arti Badhoutiya, Durgeshwar Pratap Singh, Arun Pratap Srivastava, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 1
A Review of Evaluation Approaches for Explainable AI With Applications in Cardiology
Ahmed Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra, et al.
(2023)
Open Access
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