Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Machine Learning–Enabled Multimodal Fusion of Intra-Atrial and Body Surface Signals in Prediction of Atrial Fibrillation Ablation Outcomes
Siyi Tang, Orod Razeghi, Ridhima Kapoor, et al.
Circulation Arrhythmia and Electrophysiology (2022) Vol. 15, Iss. 8
Open Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

2024 European Heart Rhythm Association/Heart Rhythm Society/Asia Pacific Heart Rhythm Society/Latin American Heart Rhythm Society expert consensus statement on catheter and surgical ablation of atrial fibrillation
Stylianos Tzeis, Edward P. Gerstenfeld, Jonathan M. Kalman, et al.
EP Europace (2024) Vol. 26, Iss. 4
Open Access | Times Cited: 143
2024 European Heart Rhythm Association/Heart Rhythm Society/Asia Pacific Heart Rhythm Society/Latin American Heart Rhythm Society expert consensus statement on catheter and surgical ablation of atrial fibrillation
Stylianos Tzeis, Edward P. Gerstenfeld, Jonathan M. Kalman, et al.
Heart Rhythm (2024) Vol. 21, Iss. 9, pp. e31-e149
Open Access | Times Cited: 78
Use of Artificial Intelligence in Improving Outcomes in Heart Disease: A Scientific Statement From the American Heart Association
Antonis A. Armoundas, Sanjiv M. Narayan, Donna K. Arnett, et al.
Circulation (2024) Vol. 149, Iss. 14
Open Access | Times Cited: 44
Transforming Cardiovascular Care With Artificial Intelligence: From Discovery to Practice
Rohan Khera, Evangelos K. Oikonomou, Girish N. Nadkarni, et al.
Journal of the American College of Cardiology (2024) Vol. 84, Iss. 1, pp. 97-114
Closed Access | Times Cited: 40
Longer and better lives for patients with atrial fibrillation: the 9th AFNET/EHRA consensus conference
Dominik Linz, Jason G. Andrade, Elena Arbelo, et al.
EP Europace (2024) Vol. 26, Iss. 4
Open Access | Times Cited: 33
2024 European Heart Rhythm Association/Heart Rhythm Society/Asia Pacific Heart Rhythm Society/Latin American Heart Rhythm Society expert consensus statement on catheter and surgical ablation of atrial fibrillation
Stylianos Tzeis, Edward P. Gerstenfeld, Jonathan M. Kalman, et al.
Journal of Interventional Cardiac Electrophysiology (2024) Vol. 67, Iss. 5, pp. 921-1072
Open Access | Times Cited: 21
Artificial Intelligence for Cardiovascular Care—Part 1: Advances
Pierre Elias, Sneha S. Jain, Timothy J. Poterucha, et al.
Journal of the American College of Cardiology (2024) Vol. 83, Iss. 24, pp. 2472-2486
Closed Access | Times Cited: 19
2024 European Heart Rhythm Association/Heart Rhythm Society/Asia Pacific Heart Rhythm Society/Latin American Heart Rhythm Society expert consensus statement on catheter and surgical ablation of atrial fibrillation
Stylianos Tzeis, Edward P. Gerstenfeld, Jonathan M. Kalman, et al.
Journal of Arrhythmia (2024) Vol. 40, Iss. 6, pp. 1217-1354
Open Access | Times Cited: 18
A Systematic Literature Review on Multimodal Machine Learning: Applications, Challenges, Gaps and Future Directions
Arnab Barua, Mobyen Uddin Ahmed, Shahina Begum
IEEE Access (2023) Vol. 11, pp. 14804-14831
Open Access | Times Cited: 27
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
Deep learning-based multimodal fusion of the surface ECG and clinical features in prediction of atrial fibrillation recurrence following catheter ablation
Yue Qiu, Hongcheng Guo, Shixin Wang, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 10
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
Application of artificial intelligence in the diagnosis and treatment of cardiac arrhythmia
Rong‐Xin Guo, Xu Tian, George Bazoukis, et al.
Pacing and Clinical Electrophysiology (2024) Vol. 47, Iss. 6, pp. 789-801
Closed Access | Times Cited: 6
Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013–2023)
Massimo Salvi, Madhav R. Acharya, Silvia Seoni, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2024) Vol. 14, Iss. 3
Closed Access | Times Cited: 4
The Heart of Transformation: Exploring Artificial Intelligence in Cardiovascular Disease
Mohammed Andaleeb Chowdhury, Rodrigue Rizk, J. Christine Chiu, et al.
Biomedicines (2025) Vol. 13, Iss. 2, pp. 427-427
Open Access
Comparing Phenotypes for Acute and Long-Term Response to Atrial Fibrillation Ablation Using Machine Learning
Prasanth Ganesan, Maxime Pedron, Ruibin Feng, et al.
Circulation Arrhythmia and Electrophysiology (2025)
Closed Access
KI geführte Ablation bei Vorhofflimmern
Nico Erhard, Isabel Deisenhofer
CardioVasc (2025) Vol. 25, Iss. 2, pp. 44-47
Closed Access
Artificial Intelligence in Atrial Fibrillation: From Early Detection to Precision Therapy
Paschalis Karakasis, Panagiotis Theofilis, Μarios Sagris, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 8, pp. 2627-2627
Open Access
Artificial intelligence applications in cardio-oncology: Leveraging high dimensional cardiovascular data
Haidee Chen, David Ouyang, Tina Baykaner, et al.
Frontiers in Cardiovascular Medicine (2022) Vol. 9
Open Access | Times Cited: 18
Deep learning for pancreatic diseases based on endoscopic ultrasound: A systematic review
Minyue Yin, Lu Liu, Jingwen Gao, et al.
International Journal of Medical Informatics (2023) Vol. 174, pp. 105044-105044
Closed Access | Times Cited: 10
Artificial intelligence and atrial fibrillation: A bibliometric analysis from 2013 to 2023
Bochao Jia, Jiafan Chen, Yujie Luan, et al.
Heliyon (2024) Vol. 10, Iss. 15, pp. e35067-e35067
Open Access | Times Cited: 3
Arrhythmogenic vulnerability of re-entrant pathways in post-infarct ventricular tachycardia assessed by advanced computational modelling
Pranav Bhagirath, Fernando O. Campos, Pieter G. Postema, et al.
EP Europace (2023) Vol. 25, Iss. 9
Open Access | Times Cited: 8
Machine Learning in Cardio-Oncology: New Insights from an Emerging Discipline
Yi Zheng, Ziliang Chen, Shan Huang, et al.
Reviews in Cardiovascular Medicine (2023) Vol. 24, Iss. 10, pp. 296-296
Open Access | Times Cited: 7
Multidisciplinary management strategies for atrial fibrillation
Xindi Yue, Ling Zhou, Yahui Li, et al.
Current Problems in Cardiology (2024) Vol. 49, Iss. 6, pp. 102514-102514
Open Access | Times Cited: 2
The feasibility of atrial Fibrillatory wave amplitude in predicting ablation outcomes in persistent atrial fibrillation
Linlin Wang, Gang Yang, Chang Cui, et al.
Journal of Electrocardiology (2024) Vol. 86, pp. 153766-153766
Closed Access | Times Cited: 2
Page 1 - Next Page

Scroll to top