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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:

Multi-center retrospective cohort study applying deep learning to electrocardiograms to identify left heart valvular dysfunction
Akhil Vaid, Edgar Argulian, Stamatios Lerakis, et al.
Communications Medicine (2023) Vol. 3, Iss. 1
Open Access | Times Cited: 15

Showing 15 citing articles:

A foundational vision transformer improves diagnostic performance for electrocardiograms
Akhil Vaid, Joy Jiang, Ashwin Sawant, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 42
Revolutionizing Cardiology through Artificial Intelligence—Big Data from Proactive Prevention to Precise Diagnostics and Cutting-Edge Treatment—A Comprehensive Review of the Past 5 Years
Elena Stamate, Alin Ionut Piraianu, Oana Roxana Ciobotaru, et al.
Diagnostics (2024) Vol. 14, Iss. 11, pp. 1103-1103
Open Access | Times Cited: 11
The future of valvular heart disease assessment and therapy
Partho P. Sengupta, Jolanda Kluin, Seung‐Pyo Lee, et al.
The Lancet (2024) Vol. 403, Iss. 10436, pp. 1590-1602
Open Access | Times Cited: 9
Deep learning and electrocardiography: systematic review of current techniques in cardiovascular disease diagnosis and management
Z. Wu, Caixia Guo
BioMedical Engineering OnLine (2025) Vol. 24, Iss. 1
Open Access | Times Cited: 1
Deep learning for electrocardiogram interpretation: Bench to bedside
Bas B. S. Schots, Christian Pizarro, Bauke K. O. Arends, et al.
European Journal of Clinical Investigation (2025) Vol. 55, Iss. S1
Open Access | Times Cited: 1
Deep‐Learning Integrated Bioelectronic‐Tissue Interface for Cardiovascular Diagnosis and Prognosis
Shuaimin Tang, Pengzhou Cheng, Hong Liang, et al.
Advanced Functional Materials (2025)
Closed Access
Unveiling the secrets of neural network scaling for ECG classification
Byeong Tak Lee, Joon-myoung Kwon, Yong‐Yeon Jo
Informatics in Medicine Unlocked (2025), pp. 101639-101639
Open Access
Meta-Analysis of the Performance of AI-Driven ECG Interpretation in the Diagnosis of Valvular Heart Diseases
Sahib Singh, Rahul Chaudhary, Kevin P. Bliden, et al.
The American Journal of Cardiology (2023) Vol. 213, pp. 126-131
Closed Access | Times Cited: 7
Quantitative Prediction of Right Ventricular Size and Function From the ECG
Son Q. Duong, Akhil Vaid, Ha My T. Vy, et al.
Journal of the American Heart Association (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 6
Deep Learning for Echocardiography: Introduction for Clinicians and Future Vision: State-of-the-Art Review
Chayakrit Krittanawong, Alaa Mabrouk Salem Omar, Sukrit Narula, et al.
Life (2023) Vol. 13, Iss. 4, pp. 1029-1029
Open Access | Times Cited: 5
Quantitative prediction of right ventricular and size and function from the electrocardiogram
Son Q. Duong, Akhil Vaid, Ha My T. Vy, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Identifying the Severity of Heart Valve Stenosis and Regurgitation Among a Diverse Population Within an Integrated Healthcare System: A Natural Language Processing Approach (Preprint)
Fagen Xie, Ming‐Sum Lee, Salam Allahwerdy, et al.
(2024)
Open Access
Identifying the Severity of Heart Valve Stenosis and Regurgitation Among a Diverse Population Within an Integrated Healthcare System: A Natural Language Processing Approach (Preprint)
Fagen Xie, Ming‐Sum Lee, Salam Allahwerdy, et al.
JMIR Cardio (2024) Vol. 8, pp. e60503-e60503
Open Access
Screening for severe coronary stenosis in patients with apparently normal electrocardiograms based on deep learning
Zheng-Kai Xue, Shijia Geng, Shaohua Guo, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access
What Else Can AI See in a Digital ECG?
Tomasz Rechciński
Journal of Personalized Medicine (2023) Vol. 13, Iss. 7, pp. 1059-1059
Open Access | Times Cited: 1
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