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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:

ECG-AI: electrocardiographic artificial intelligence model for prediction of heart failure
Oğuz Akbilgiç, Liam Butler, İbrahi̇m Karabayir, et al.
European Heart Journal - Digital Health (2021) Vol. 2, Iss. 4, pp. 626-634
Open Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

Artificial Intelligence (AI) and Internet of Medical Things (IoMT) Assisted Biomedical Systems for Intelligent Healthcare
Pandiaraj Manickam, Siva Ananth Mariappan, Sindhu Monica Murugesan, et al.
Biosensors (2022) Vol. 12, Iss. 8, pp. 562-562
Open Access | Times Cited: 349
Current and Future Use of Artificial Intelligence in Electrocardiography
Manuel Martínez‐Sellés, Manuel Marina‐Breysse
Journal of Cardiovascular Development and Disease (2023) Vol. 10, Iss. 4, pp. 175-175
Open Access | Times Cited: 56
Artificial intelligence-enhanced electrocardiography for accurate diagnosis and management of cardiovascular diseases
Muhammad Ali Muzammil, Saman Javid, Azra Khan Afridi, et al.
Journal of Electrocardiology (2024) Vol. 83, pp. 30-40
Open Access | Times Cited: 33
Multirole of the internet of medical things (IoMT) in biomedical systems for managing smart healthcare systems: An overview of current and future innovative trends
Darin Mansor Mathkor, Noof Mathkor, Zaid Bassfar, et al.
Journal of Infection and Public Health (2024) Vol. 17, Iss. 4, pp. 559-572
Open Access | Times Cited: 32
Heart failure risk stratification using artificial intelligence applied to electrocardiogram images: a multinational study
Lovedeep Singh Dhingra, Arya Aminorroaya, Veer Sangha, et al.
European Heart Journal (2025)
Closed Access | Times Cited: 2
State-of-the-Art Deep Learning Methods on Electrocardiogram Data: Systematic Review
Georgios Petmezas, Leandros Stefanopoulos, Vassilis Kilintzis, et al.
JMIR Medical Informatics (2022) Vol. 10, Iss. 8, pp. e38454-e38454
Open Access | Times Cited: 56
Recent advancements and applications of deep learning in heart failure: Α systematic review
Georgios Petmezas, Vasileios E. Papageorgiou, Vasileios Vassilikos, et al.
Computers in Biology and Medicine (2024) Vol. 176, pp. 108557-108557
Closed Access | Times Cited: 12
Using artificial intelligence to spot heart failure from ECGs: is it prime time?
Charalambos Antoniades, Kenneth Chan
European Heart Journal (2025)
Closed Access | Times Cited: 1
Artificial Intelligence in Cardiovascular Medicine: Current Insights and Future Prospects
Ikram ul Haq, Karanjot Chhatwal, Krishna Sanaka, et al.
Vascular Health and Risk Management (2022) Vol. Volume 18, pp. 517-528
Open Access | Times Cited: 32
Deep Learning of Electrocardiograms in Sinus Rhythm From US Veterans to Predict Atrial Fibrillation
Neal Yuan, Grant Duffy, Sanket S. Dhruva, et al.
JAMA Cardiology (2023) Vol. 8, Iss. 12, pp. 1131-1131
Open Access | Times Cited: 21
Adopting artificial intelligence in cardiovascular medicine: a scoping review
Hisaki Makimoto, Takahide Kohro
Hypertension Research (2023) Vol. 47, Iss. 3, pp. 685-699
Closed Access | Times Cited: 16
Risk prediction of heart failure in patients with ischemic heart disease using network analytics and stacking ensemble learning
Dejia Zhou, Hang Qiu, Liya Wang, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 13
Clinical Applications, Methodology, and Scientific Reporting of Electrocardiogram Deep-Learning Models
Vennela Avula, Kathérine C. Wu, Richard Carrick
JACC Advances (2023) Vol. 2, Iss. 10, pp. 100686-100686
Open Access | Times Cited: 13
Prioritizing the primary prevention of heart failure: Measuring, modifying and monitoring risk
Ruchi Patel, Tejasvi Peesay, Vaishnavi Krishnan, et al.
Progress in Cardiovascular Diseases (2024) Vol. 82, pp. 2-14
Closed Access | Times Cited: 5
Scalable Risk Stratification for Heart Failure Using Artificial Intelligence applied to 12-lead Electrocardiographic Images: A Multinational Study
Lovedeep S Dhingra, Arya Aminorroaya, Veer Sangha, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 5
AI-Enhanced ECG Applications in Cardiology: Comprehensive Insights from the Current Literature with a Focus on COVID-19 and Multiple Cardiovascular Conditions
Luiza Nechita, Aurel Nechita, Andreea Elena Voipan, et al.
Diagnostics (2024) Vol. 14, Iss. 17, pp. 1839-1839
Open Access | Times Cited: 5
Advancements in biomedical devices: A comprehensive review
Mohammed Ubaid, Shadab Ahmad, Shanay Rab, et al.
Elsevier eBooks (2025), pp. 15-40
Closed Access
Screening for Left Ventricular Hypertrophy Using Artificial Intelligence Algorithms Based on 12 Leads of the Electrocardiogram—Applicable in Clinical Practice?—Critical Literature Review with Meta-Analysis
Agata Makowska, Gayathri Ananthakrishnan, Michael Christ, et al.
Healthcare (2025) Vol. 13, Iss. 4, pp. 408-408
Open Access
Diagnostic Strategies Using AI and ML in Cardiovascular Diseases: Challenges and Future Perspectives
Neha Rana, Kiran Sharma, Abhishek Sharma
Algorithms for intelligent systems (2025), pp. 135-165
Closed 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
Clinical applications of artificial intelligence and machine learning in neurocardiology: a comprehensive review
Jade Basem, Racheed Mani, Scott Sun, et al.
Frontiers in Cardiovascular Medicine (2025) Vol. 12
Open Access
A fully-automated paper ECG digitisation algorithm using deep learning
Huiyi Wu, Kiran Haresh Kumar Patel, Xinyang Li, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 19
Cardiovascular disease/stroke risk stratification in deep learning framework: a review
Mrinalini Bhagawati, Sudip Paul, Sushant Agarwal, et al.
Cardiovascular Diagnosis and Therapy (2023) Vol. 12, Iss. 3, pp. 557-598
Open Access | Times Cited: 12
AI-based preeclampsia detection and prediction with electrocardiogram data
Liam Butler, Fatma Güntürkün, Lokesh Chinthala, et al.
Frontiers in Cardiovascular Medicine (2024) Vol. 11
Open Access | Times Cited: 4
Wearable Devices for Hemodynamic Assessment in Cardiovascular Disease: A Short Literature Review
Jyotpal Singh, Chase J. Ellingson, Maria Gagarinova, et al.
Cardiology in Review (2025)
Closed Access
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