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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:

Artificial Intelligence and Cardiovascular Genetics
Chayakrit Krittanawong, Kipp W. Johnson, Edward Choi, et al.
Life (2022) Vol. 12, Iss. 2, pp. 279-279
Open Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Discovering biomarkers associated and predicting cardiovascular disease with high accuracy using a novel nexus of machine learning techniques for precision medicine
William DeGroat, Habiba Abdelhalim, Kush Patel, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 339
Remote patient monitoring using artificial intelligence: Current state, applications, and challenges
Thanveer Shaik, Xiaohui Tao, Niall Higgins, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2023) Vol. 13, Iss. 2
Open Access | Times Cited: 221
A cardiologist’s guide to machine learning in cardiovascular disease prognosis prediction
Karl‐Patrik Kresoja, Matthias Unterhuber, Rolf Wachter, et al.
Basic Research in Cardiology (2023) Vol. 118, Iss. 1
Open Access | Times Cited: 40
Investigating genes associated with heart failure, atrial fibrillation, and other cardiovascular diseases, and predicting disease using machine learning techniques for translational research and precision medicine
Vignesh Venkat, Habiba Abdelhalim, William DeGroat, et al.
Genomics (2023) Vol. 115, Iss. 2, pp. 110584-110584
Open Access | Times Cited: 34
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
Unlocking the potential of artificial intelligence in sports cardiology: does it have a role in evaluating athlete’s heart?
Stefano Palermi, Marco Vecchiato, Andrea Saglietto, et al.
European Journal of Preventive Cardiology (2024) Vol. 31, Iss. 4, pp. 470-482
Closed Access | Times Cited: 14
Multimodal AI/ML for discovering novel biomarkers and predicting disease using multi-omics profiles of patients with cardiovascular diseases
William DeGroat, Habiba Abdelhalim, Elizabeth Peker, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 11
The role of artificial intelligence in cardiovascular research: Fear less and live bolder
Alessandro Scuricini, Davide Ramoni, Luca Liberale, et al.
European Journal of Clinical Investigation (2025) Vol. 55, Iss. S1
Open Access | Times Cited: 1
Protecting patient safety and privacy in the era of artificial intelligence
Andrea Alonso, Jeffrey J. Siracuse
Seminars in Vascular Surgery (2023) Vol. 36, Iss. 3, pp. 426-429
Closed Access | Times Cited: 17
A Survey on the Role of Artificial Intelligence in Biobanking Studies: A Systematic Review
Gopi Battineni, Mohammad Amran Hossain, Nalini Chintalapudi, et al.
Diagnostics (2022) Vol. 12, Iss. 5, pp. 1179-1179
Open Access | Times Cited: 17
Polygenic Risk Score for Cardiovascular Diseases in Artificial Intelligence Paradigm: A Review
Narendra N Khanna, Manasvi Singh, Mahesh Maindarkar, et al.
Journal of Korean Medical Science (2023) Vol. 38, Iss. 46
Open Access | Times Cited: 10
Unraveling the Genetic Heartbeat: Decoding Cardiac Involvement in Duchenne Muscular Dystrophy
Valeria Novelli, Francesco Canonico, Renzo Laborante, et al.
Biomedicines (2025) Vol. 13, Iss. 1, pp. 102-102
Open Access
Cardiac Repair and Regeneration via Advanced Technology (Preprint)
Yugyung Lee, Sushil Shelke, Chi H Lee
JMIR Biomedical Engineering (2025) Vol. 10, pp. e65366-e65366
Open Access
Interoception, cardiac health, and heart failure: The potential for artificial intelligence (AI)—driven diagnosis and treatment
Mahavir Singh, Anmol Babbarwal, Sathnur Pushpakumar, et al.
Physiological Reports (2025) Vol. 13, Iss. 1
Open Access
Artificial intelligence in cardiovascular procedures: a bibliometric and visual analysis study
Koushik Rao Gadhachanda, Mohammed Dheyaa Marsool Marsool, Ali Bozorgi, et al.
Annals of Medicine and Surgery (2025) Vol. 87, Iss. 4, pp. 2187-2203
Open Access
The Role of Artificial Intelligence in Cardiology
Yu. N. Belenkov, M. V. Kozhevnikova, Н. В. Хабарова, et al.
Kardiologiia (2025) Vol. 65, Iss. 2, pp. 3-16
Closed Access
Harnessing Electronic Health Records and Artificial Intelligence for Enhanced Cardiovascular Risk Prediction: A Comprehensive Review
Ming‐Lung Tsai, Kuan‐Fu Chen, Pei‐Chun Chen
Journal of the American Heart Association (2025)
Open Access
Controversy in Hypertension: Pro-Side of the Argument Using Artificial Intelligence for Hypertension Diagnosis and Management
Antonis A. Armoundas, Faraz S. Ahmad, Zachi I. Attia, et al.
Hypertension (2025)
Closed Access
The Role of AI-Based Chatbots in Public Health Emergencies: A Narrative Review
Francesco Branda, Massimo Stella, C. Ceccarelli, et al.
Future Internet (2025) Vol. 17, Iss. 4, pp. 145-145
Open Access
Endure or perish with use of artificial intelligence in clinical genetics settings
Partha Pratim Ray
European Journal of Human Genetics (2025)
Closed Access
An Artificial Intelligence-Based Bio-Medical Stroke Prediction and Analytical System Using a Machine Learning Approach
R. Pitchai, Bhasker Dappuri, P. V. Pramila, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-9
Open Access | Times Cited: 16
A Pharmaceutical Paradigm for Cardiovascular Composite Risk Assessment Using Novel Radiogenomics Risk Predictors in Precision Explainable Artificial Intelligence Framework: Clinical Trial Tool
Luca Saba, Mahesh Maindarkar, Narendra N. Khanna, et al.
Frontiers in Bioscience-Landmark (2023) Vol. 28, Iss. 10, pp. 248-248
Open Access | Times Cited: 8
Basic science methods for the characterization of variants of uncertain significance in hypertrophic cardiomyopathy
Chang Yoon Doh, Thomas Kampourakis, Kenneth S. Campbell, et al.
Frontiers in Cardiovascular Medicine (2023) Vol. 10
Open Access | Times Cited: 6
Investigating genes associated with cardiovascular disease among heart failure patients for translational research and precision medicine
Zeeshan Ahmed, Saman Zeeshan, Nicholas Persaud, et al.
Clinical and Translational Discovery (2023) Vol. 3, Iss. 3
Open Access | Times Cited: 5
Artificial Intelligence in Cardiology and Atherosclerosis in the Context of Precision Medicine: A Scoping Review
Oliwia Kolaszyńska, Jacek Lorkowski
Applied Bionics and Biomechanics (2024) Vol. 2024, pp. 1-17
Open Access | Times Cited: 1
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