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:

A proposed technique for predicting heart disease using machine learning algorithms and an explainable AI method
Hosam F. El-Sofany, Belgacem Bouallègue, Yasser M. Abd El-Latif
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 8

Showing 8 citing articles:

An Explainable Analytical Approach to Heart Attack Detection Using Biomarkers and Nature-Inspired Algorithms
Maithri Bairy, Krishnaraj Chadaga, Niranjana Sampathila, et al.
(2025)
Closed Access

An explainable multi-objective hybrid machine learning model for reducing heart failure mortality
F. M. Javed Mehedi Shamrat, Majdi Khalid, Thamir M. Qadah, et al.
PeerJ Computer Science (2025) Vol. 11, pp. e2682-e2682
Open Access

Modified Hard Voting Classifier Implementation on MEFV Gene Variants Increases in Silico Tool Performance: A Novel Approach for Small Sample Size
Mustafa Tarık Alay, İbrahim Demir, Murat Ki̇ri̇şçi̇
Journal of Intelligent Systems Theory and Applications (2025) Vol. 8, Iss. 1, pp. 35-46
Open Access

Utilizing Voting Classifiers for Enhanced Analysis and Diagnosis of Cardiac Conditions
Mohamed S. Elgendy, Hossam El-Din Moustafa, Hala B. Nafea, et al.
Results in Engineering (2025), pp. 104636-104636
Open Access

The Explanation and Sensitivity of AI Algorithms Supplied with Synthetic Medical Data
Dan Munteanu, Simona Moldovanu, Mihaela Miron
Electronics (2025) Vol. 14, Iss. 7, pp. 1270-1270
Open Access

Heart Failure Prediction: A Comparative Study of SHAP, LIME, and ICE in Machine Learning Models
Tuğçe ÖZNACAR, Zeynep Tuğçe SERTKAYA
International Journal of Computational and Experimental Science and Engineering (2024) Vol. 10, Iss. 4
Open Access | Times Cited: 2

Beyond the alarm: proactive predictions for cardiac arrest incidents in hospitals using Interpretable machine learning models
Antra, Uma Kumar, Gaurav Loria, et al.
Journal of the Operational Research Society (2024), pp. 1-14
Closed Access

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