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:

Pediatric ECG-Based Deep Learning to Predict Left Ventricular Dysfunction and Remodeling
Joshua Mayourian, William La Cava, Akhil Vaid, et al.
Circulation (2024) Vol. 149, Iss. 12, pp. 917-931
Closed Access | Times Cited: 15

Showing 15 citing articles:

Deep Learning-Based Electrocardiogram Analysis Predicts Biventricular Dysfunction and Dilation in Congenital Heart Disease
Joshua Mayourian, Addison Gearhart, William La Cava, et al.
Journal of the American College of Cardiology (2024) Vol. 84, Iss. 9, pp. 815-828
Closed Access | Times Cited: 6

Electrocardiogram-based deep learning to predict mortality in paediatric and adult congenital heart disease
Joshua Mayourian, Amr El‐Bokl, Platon Lukyanenko, et al.
European Heart Journal (2024)
Closed Access | Times Cited: 5

Deep learning-based analysis of 12-lead electrocardiograms in school-age children: a proof of concept study
Shuhei Toba, Yoshihide Mitani, Yusuke Sugitani, et al.
Frontiers in Cardiovascular Medicine (2025) Vol. 12
Open Access

Expert-Level Automated Diagnosis of the Pediatric ECG Using a Deep Neural Network
Joshua Mayourian, William La Cava, Sarah D. de Ferranti, et al.
JACC. Clinical electrophysiology (2025)
Closed Access

Automated Diagnosis of Pediatric ECG Through AI-ECG
Dustin Nash, Anthony G. Pompa, Jennifer N. Avari Silva
JACC. Clinical electrophysiology (2025)
Closed Access

Role of Artificial Intelligence in Congenital Heart Disease and Interventions
Dudley Byron Holt, Amr El‐Bokl, Daniel Stromberg, et al.
Journal of the Society for Cardiovascular Angiography & Interventions (2025) Vol. 4, Iss. 3, pp. 102567-102567
Open Access

Electrocardiogram-based deep learning to predict left ventricular systolic dysfunction in paediatric and adult congenital heart disease in the USA: a multicentre modelling study
Joshua Mayourian, Ivor Asztalos, Amr El‐Bokl, et al.
The Lancet Digital Health (2025) Vol. 7, Iss. 4, pp. e264-e274
Closed Access

Development and Validation of a Mortality Risk Score for Repaired Tetralogy of Fallot
Joshua Mayourian, Lynn A. Sleeper, Ji Hae Lee, et al.
Journal of the American Heart Association (2024) Vol. 13, Iss. 12
Open Access | Times Cited: 3

Pediatric Electrocardiogram-Based Deep Learning to Predict Secundum Atrial Septal Defects
Joshua Mayourian, Robert L. Geggel, William La Cava, et al.
Pediatric Cardiology (2024)
Open Access | Times Cited: 3

Electrocardiogram-Based Deep Learning to Predict Mortality in Repaired Tetralogy of Fallot
Joshua Mayourian, Juul P A van Boxtel, Lynn A. Sleeper, et al.
JACC. Clinical electrophysiology (2024)
Closed Access | Times Cited: 1

Expanding artificial intelligence to understudied populations: congenital heart disease as the next frontier
Evangelos K. Oikonomou, Rohan Khera
European Heart Journal (2024)
Closed Access | Times Cited: 1

Artificial Intelligence in Pediatric Electrocardiography: A Comprehensive Review
David M. Leone, Donnchadh O’Sullivan, Katia Bravo Jaimes
Children (2024) Vol. 12, Iss. 1, pp. 25-25
Open Access | Times Cited: 1

Artificial intelligence in pediatric cardiology: Where do we stand in 2024?
Supratim Sen, Sivasubramanian Ramakrishnan
Annals of Pediatric Cardiology (2024) Vol. 17, Iss. 2, pp. 93-96
Open Access

Progress in diagnosis and treatment of hypertension combined with left ventricular hypertrophy
Yongjin Han, Yanqiu Li, Wu Zhen, et al.
Annals of Medicine (2024) Vol. 56, Iss. 1
Open Access

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