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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:

A Novel Machine Learning-Based Prediction Method for Early Detection and Diagnosis of Congenital Heart Disease Using ECG Signal Processing
Prabu Pachiyannan, Musleh Alsulami, Deafallah Alsadie, et al.
Technologies (2024) Vol. 12, Iss. 1, pp. 4-4
Open Access | Times Cited: 10

Showing 10 citing articles:

Prospective Applications of Artificial Intelligence In Fetal Medicine: A Scoping Review of Recent Updates
Elhadi Miskeen, Jaber Alfaifi, Dalal Mohammed Alhuian, et al.
International Journal of General Medicine (2025) Vol. Volume 18, pp. 237-245
Open Access | Times Cited: 1
Deep Learning Applications in ECG Analysis and Disease Detection: An Investigation Study of Recent Advances
U. Sumalatha, Krishna Prakash, Srikanth Prabhu, et al.
IEEE Access (2024) Vol. 12, pp. 126258-126284
Open Access | Times Cited: 4
Ensemble approach for heart disease diagnosis integrating HHO algorithm and machine learning techniques
Haedar Emad Sharef Alsafi, Jorge Munilla
AIP conference proceedings (2025) Vol. 3264, pp. 040006-040006
Closed Access
Optimizing Machine Learning Models for Urinary Tract Infection Diagnostics: A Comparative Study of Logistic Regression and Random Forest
Gregorius Airlangga
Jurnal Informatika Ekonomi Bisnis (2024), pp. 246-250
Open Access | Times Cited: 1
Innovative approaches for coronary heart disease management: integrating biomedical sensors, deep learning, and stellate ganglion modulation
Jun Xu, Ying Yang, Jinrong Zhao, et al.
Computer Methods in Biomechanics & Biomedical Engineering (2024), pp. 1-18
Closed Access | Times Cited: 1
Machine Learning Based Approach to Identify Predictive Signal Models
Guona Chen, Yixuan Guo
Academic Journal of Science and Technology (2024) Vol. 12, Iss. 1, pp. 199-203
Open Access
Accurately assessing congenital heart disease using artificial intelligence
Khalil Khan, Farhan Ullah, Ikram Syed, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2535-e2535
Open Access
An Enhanced Gas Sensor Data Classification Method Using Principal Component Analysis and Synthetic Minority Over-Sampling Technique Algorithms
Xianzhang Zeng, Muhammad Shahzeb, Xin Cheng, et al.
Micromachines (2024) Vol. 15, Iss. 12, pp. 1501-1501
Open Access
EXPLORING THE EFFECTIVENESS OF POINT-OF-CARE ULTRASOUND FOR CARDIOVASCULAR DISEASE DIAGNOSIS: AN IN-DEPTH INVESTIGATION
Sudhair Abbas Bangash, Anurag Rawat, Misbah Ijaz, et al.
(2024), pp. 263-271
Open Access
Early Detection of Birth Defects Using Machine Learning
Parikshit N. Mahalle, Rupali Atul Mahajan, Dattatray G. Takale
Advances in medical technologies and clinical practice book series (2024), pp. 1-30
Closed Access
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