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:

Artificial Intelligence and Machine Learning in Arrhythmias and Cardiac Electrophysiology
Albert Feeny, Mina K. Chung, Anant Madabhushi, et al.
Circulation Arrhythmia and Electrophysiology (2020) Vol. 13, Iss. 8
Open Access | Times Cited: 161

Showing 1-25 of 161 citing articles:

The Recent Progress and Applications of Digital Technologies in Healthcare: A Review
Maksut Senbekov, Timur Saliev, Zhanar Bukeyeva, et al.
International Journal of Telemedicine and Applications (2020) Vol. 2020, pp. 1-18
Open Access | Times Cited: 282

Artificial Intelligence in Dentistry—Narrative Review
Agata Ossowska, Aida Kusiak, Dariusz Świetlik
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 6, pp. 3449-3449
Open Access | Times Cited: 128

Electrocardiogram Monitoring Wearable Devices and Artificial-Intelligence-Enabled Diagnostic Capabilities: A Review
Luca Neri, Matt T. Oberdier, Kirsten C. J. van Abeelen, et al.
Sensors (2023) Vol. 23, Iss. 10, pp. 4805-4805
Open Access | Times Cited: 47

Computational models of atrial fibrillation: achievements, challenges, and perspectives for improving clinical care
Jordi Heijman, Henry Sutanto, Harry J.G.M. Crijns, et al.
Cardiovascular Research (2021) Vol. 117, Iss. 7, pp. 1682-1699
Open Access | Times Cited: 66

Prediction of Sudden Cardiac Arrest in the General Population: Review of Traditional and Emerging Risk Factors
Andrew C.T. Ha, Barbara S. Doumouras, Chang Wang, et al.
Canadian Journal of Cardiology (2022) Vol. 38, Iss. 4, pp. 465-478
Open Access | Times Cited: 48

Artificial Intelligence Technologies in Cardiology
Łukasz Ledziński, Grzegorz Grześk
Journal of Cardiovascular Development and Disease (2023) Vol. 10, Iss. 5, pp. 202-202
Open Access | Times Cited: 32

JCS/JHRS 2022 Guideline on Diagnosis and Risk Assessment of Arrhythmia
Bonpei Takase, Takanori Ikeda, Wataru Shimizu, et al.
Circulation Journal (2023) Vol. 88, Iss. 9, pp. 1509-1595
Open Access | Times Cited: 28

Advancements and applications of Artificial Intelligence in cardiology: Current trends and future prospects
David B. Olawade, Nicholas Aderinto, Gbolahan Olatunji, et al.
Journal of Medicine Surgery and Public Health (2024) Vol. 3, pp. 100109-100109
Open Access | Times Cited: 16

Biocompatible Electronic Skins for Cardiovascular Health Monitoring
Yucong Du, Ji Hong Kim, Hui Kong, et al.
Advanced Healthcare Materials (2024) Vol. 13, Iss. 16
Closed Access | Times Cited: 12

Machine learning‐assisted point‐of‐care diagnostics for cardiovascular healthcare
Kaidong Wang, Bing Tan, Xinfei Wang, et al.
Bioengineering & Translational Medicine (2025)
Open Access | Times Cited: 1

Machine Learning in Arrhythmia and Electrophysiology
Natalia A. Trayanova, Dan M. Popescu, Julie K. Shade
Circulation Research (2021) Vol. 128, Iss. 4, pp. 544-566
Open Access | Times Cited: 47

Artificial intelligence opportunities in cardio-oncology: Overview with spotlight on electrocardiography
Daniel Sierra-Lara Martinez, Peter A. Noseworthy, Oğuz Akbilgiç, et al.
American Heart Journal Plus Cardiology Research and Practice (2022) Vol. 15, pp. 100129-100129
Open Access | Times Cited: 36

Artificial Intelligence for the Detection and Treatment of Atrial Fibrillation
David Harmon, Ojasav Sehrawat, Maren Maanja, et al.
Arrhythmia & Electrophysiology Review (2023) Vol. 12
Open Access | Times Cited: 22

Successes and challenges of artificial intelligence in cardiology
Bert Vandenberk, Derek S. Chew, Dinesh Prasana, et al.
Frontiers in Digital Health (2023) Vol. 5
Open Access | Times Cited: 21

Machine learning-assisted rheumatoid arthritis formulations: A review on smart pharmaceutical design
Niki Pouyanfar, Zahra Anvari, Kamyar Davari-Kia, et al.
Materials Today Communications (2024) Vol. 41, pp. 110208-110208
Closed Access | Times Cited: 7

Trustworthy and ethical AI-enabled cardiovascular care: a rapid review
Maryam Mooghali, Austin M. Stroud, Dong Whi Yoo, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 7

A Primer on the Present State and Future Prospects for Machine Learning and Artificial Intelligence Applications in Cardiology
Cedric Manlhiot, Jef Van den Eynde, Shelby Kutty, et al.
Canadian Journal of Cardiology (2021) Vol. 38, Iss. 2, pp. 169-184
Open Access | Times Cited: 36

Body Surface Potential Mapping: Contemporary Applications and Future Perspectives
Jake Bergquist, Lindsay Rupp, Brian Zenger, et al.
Hearts (2021) Vol. 2, Iss. 4, pp. 514-542
Open Access | Times Cited: 35

The physics of heart rhythm disorders
Wouter‐Jan Rappel
Physics Reports (2022) Vol. 978, pp. 1-45
Open Access | Times Cited: 28

Applications of Machine Learning in Cardiology
Karthik Seetharam, Sudarshan Balla, Christopher Bianco, et al.
Cardiology and Therapy (2022) Vol. 11, Iss. 3, pp. 355-368
Open Access | Times Cited: 24

From evidence-based medicine to digital twin technology for predicting ventricular tachycardia in ischaemic cardiomyopathy
Anouk G. W. de Lepper, Carlijn M. A. Buck, Marcel van ’t Veer, et al.
Journal of The Royal Society Interface (2022) Vol. 19, Iss. 194
Open Access | Times Cited: 24

Emerging role of artificial intelligence in cardiac electrophysiology
Rajesh Kabra, Sharat Israni, B T Vijay, et al.
Cardiovascular Digital Health Journal (2022) Vol. 3, Iss. 6, pp. 263-275
Open Access | Times Cited: 23

Predicting Malignant Ventricular Arrhythmias Using Real-Time Remote Monitoring
Curtis Ginder, Jin Li, Jonathan L. Halperin, et al.
Journal of the American College of Cardiology (2023) Vol. 81, Iss. 10, pp. 949-961
Open Access | Times Cited: 15

JCS/JHRS 2022 Guideline on Diagnosis and Risk Assessment of Arrhythmia
Bonpei Takase, Takanori Ikeda, Wataru Shimizu, et al.
Journal of Arrhythmia (2024) Vol. 40, Iss. 4, pp. 655-752
Open Access | Times Cited: 5

Advancing cardiac diagnostics: Exceptional accuracy in abnormal ECG signal classification with cascading deep learning and explainability analysis
Wei Zeng, Liangmin Shan, Chengzhi Yuan, et al.
Applied Soft Computing (2024) Vol. 165, pp. 112056-112056
Closed Access | Times Cited: 5

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