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:

Long-Term Coronary Artery Disease Risk Prediction with Machine Learning Models
Μαρία Τρίγκα, Ηλίας Δρίτσας
Sensors (2023) Vol. 23, Iss. 3, pp. 1193-1193
Open Access | Times Cited: 33

Showing 26-50 of 33 citing articles:

Anticipating the Nearness of Coronary Heart Infection Utilizing Machine Learning Classifiers
Lamiaa Mohammed Salem Akoosh, Farheen Siddiqui, Sherin Zafar, et al.
Procedia Computer Science (2024) Vol. 235, pp. 2619-2629
Open Access

Cardiovascular Disease Prediction Using Ensemble Stacking for Enhanced Accuracy
Sai Charan Medaramatla, Chennupati Veda Samhitha, K. Srinivasa Reddy
(2024) Vol. 1, pp. 01-08
Closed Access

Optimizing Stroke Risk Prediction: A Primary Dataset-Driven Ensemble Classifier with Explainable Artificial Intelligence
Md. Maruf Hossain, Md. Mahfuz Ahmed, Md. Rakibul Hasan Rakib, et al.
(2024)
Closed Access

Ensemble Multimodal Disease Risk Prediction: Integrating Chest X-Ray Images and Medical Data with ERSGB-RSW Method
Shiny Irene David Amirtharaj, Pushpalatha Marudappa, Lade Sachin, et al.
Journal of The Institution of Engineers (India) Series B (2024)
Closed Access

Automated stenosis detection in coronary artery disease using yolov9c: Enhanced efficiency and accuracy in real-time applications
M. Barış Akgül, Hasan İbrahim Kozan, Hasan Ali Akyürek, et al.
Journal of Real-Time Image Processing (2024) Vol. 21, Iss. 5
Closed Access

A Multi-Class Classification Approach for Anemia Level Prediction with Machine Learning Models
Μαρία Τρίγκα, Ηλίας Δρίτσας, Phivos Mylonas
(2023), pp. 1-6
Closed Access | Times Cited: 1

Feature selection for classification using WGCNA and Spread Sub-Sample for an imbalanced rheumatoid arthritis RNASEQ data
Consolata Gakii, Victoria Mukami, Boaz K. Too
Informatics in Medicine Unlocked (2023) Vol. 43, pp. 101402-101402
Open Access

A Systematic Review for Cardiovascular Disease Detection using Machine Learning Methods
Gorapalli Srinivasa Rao, G. Muneeswari
(2023), pp. 133-138
Closed Access

Machine Learning-Based Risk Prediction for Coronary Heart Disease Using Clinical Data
L Dewangan, Mahesh V. Shitole, J. P. Patra, et al.
(2023), pp. 1-6
Closed Access

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