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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:

Machine Learning-Derived Echocardiographic Phenotypes Predict Heart Failure Incidence in Asymptomatic Individuals
Masatake Kobayashi, Olivier Huttin, Martin Magnusson, et al.
JACC. Cardiovascular imaging (2021) Vol. 15, Iss. 2, pp. 193-208
Open Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

Artificial intelligence and heart failure: A state‐of‐the‐art review
Muhammad Shahzeb Khan, Muhammad Sameer Arshad, Stephen J. Greene, et al.
European Journal of Heart Failure (2023) Vol. 25, Iss. 9, pp. 1507-1525
Closed Access | Times Cited: 35
The underuse of AI in the health sector: Opportunity costs, success stories, risks and recommendations
Ugo Pagallo, Shane O’Sullivan, Nathalie Nevejans, et al.
Health and Technology (2023) Vol. 14, Iss. 1, pp. 1-14
Open Access | Times Cited: 31
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
Applications of artificial intelligence in dentomaxillofacial imaging–a systematic review
Serlie Hartoonian, Matine Hosseini, Iman Yousefi, et al.
Oral Surgery Oral Medicine Oral Pathology and Oral Radiology (2024) Vol. 138, Iss. 5, pp. 641-655
Closed Access | Times Cited: 9
Revolutionizing Cardiac Care: Artificial Intelligence Applications in Heart Failure Management
Areeba Fareed, Rayyan Vaid, Abdulrahmon Moradeyo, et al.
Cardiology in Review (2025)
Closed Access | Times Cited: 1
Echocardiographic and biomarker characteristics in diabetes, coronary artery disease or both: insights from HOMAGE trial
Luca Monzo, Masatake Kobayashi, João Pedro Ferreira, et al.
Cardiovascular Diabetology (2025) Vol. 24, Iss. 1
Open Access | Times Cited: 1
Ultrasonic Texture Features for Assessing Cardiac Remodeling and Dysfunction
Quincy A. Hathaway, Naveena Yanamala, Nanda K. Siva, et al.
Journal of the American College of Cardiology (2022) Vol. 80, Iss. 23, pp. 2187-2201
Open Access | Times Cited: 24
The association between markers of type I collagen synthesis and echocardiographic response to spironolactone in patients at risk of heart failure: findings from the HOMAGE trial
Masatake Kobayashi, Nicolas Girerd, João Pedro Ferreira, et al.
European Journal of Heart Failure (2022) Vol. 24, Iss. 9, pp. 1559-1568
Open Access | Times Cited: 23
Artificial intelligence in cardiovascular imaging: enhancing image analysis and risk stratification
Andrew Lin, Konrad Pieszko, Caroline Park, et al.
BJR|Open (2023) Vol. 5, Iss. 1
Open Access | Times Cited: 14
Integrating Echocardiography Parameters With Explainable Artificial Intelligence for Data-Driven Clustering of Primary Mitral Regurgitation Phenotypes
Jérémy Bernard, Naveena Yanamala, Rohan Shah, et al.
JACC. Cardiovascular imaging (2023) Vol. 16, Iss. 10, pp. 1253-1267
Closed Access | Times Cited: 14
Machine Learning–Based Phenogrouping in MVP Identifies Profiles Associated With Myocardial Fibrosis and Cardiovascular Events
Olivier Huttin, Nicolas Girerd, Antoine Jobbe Duval, et al.
JACC. Cardiovascular imaging (2023) Vol. 16, Iss. 10, pp. 1271-1284
Open Access | Times Cited: 14
Exploring Congestion Endotypes and Their Distinct Clinical Outcomes Among ICU Patients: A Post-Hoc Analysis
Pierre-Grégoire Guinot, Dan Longrois, Ştefan Andrei, et al.
Anaesthesia Critical Care & Pain Medicine (2024) Vol. 43, Iss. 3, pp. 101370-101370
Closed Access | Times Cited: 6
The role of artificial intelligence in hypertensive disorders of pregnancy: towards personalized healthcare
Mohanad Alkhodari, Zhaohan Xiong, Ahsan H. Khandoker, et al.
Expert Review of Cardiovascular Therapy (2023) Vol. 21, Iss. 7, pp. 531-543
Closed Access | Times Cited: 13
Machine Learning in Cardiology: A Potential Real-World Solution in Low- and Middle-Income Countries
Mohamad S. Alabdaljabar, Babar Hasan, Peter A. Noseworthy, et al.
Journal of Multidisciplinary Healthcare (2023) Vol. Volume 16, pp. 285-295
Open Access | Times Cited: 12
Identification of clinical heterogeneity and construction of a novel subtype predictive model in patients with ankylosing spondylitis: An unsupervised machine learning study
Xuhua Sun, Chenxing Zhou, Jichong Zhu, et al.
International Immunopharmacology (2023) Vol. 117, pp. 109879-109879
Open Access | Times Cited: 11
Application of machine learning in measurement of ageing and geriatric diseases: a systematic review
A. Das, Preeti Dhillon
BMC Geriatrics (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 11
Extracellular vesicles in heart failure
Alexander Е. Berezin, Alexander A. Berezin
Advances in clinical chemistry (2024), pp. 1-32
Closed Access | Times Cited: 4
Proteomic profiles of left atrial volume and its influence on response to spironolactone: Findings from the HOMAGE trial and STANISLAS cohort
Masatake Kobayashi, João Pedro Ferreira, Kévin Duarte, et al.
European Journal of Heart Failure (2024) Vol. 26, Iss. 5, pp. 1231-1241
Open Access | Times Cited: 4
Adropin Predicts Asymptomatic Heart Failure in Patients with Type 2 Diabetes Mellitus Independent of the Levels of Natriuretic Peptides
Tetiana A. Berezina, Oleksandr O. Berezin, Uta C. Hoppe, et al.
Diagnostics (2024) Vol. 14, Iss. 16, pp. 1728-1728
Open Access | Times Cited: 4
Machine learning approach to identify phenotypes in patients with ischaemic heart failure with reduced ejection fraction
Luca Monzo, Emmanuel Bresso, Kenneth Dickstein, et al.
European Journal of Heart Failure (2024)
Open Access | Times Cited: 4
Diabesity in Elderly Cardiovascular Disease Patients: Mechanisms and Regulators
David García‐Vega, José Ramón González‐Juanatey, Sonia Eirás
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 14, pp. 7886-7886
Open Access | Times Cited: 18
Construction of a novel lower-extremity peripheral artery disease subtype prediction model using unsupervised machine learning and neutrophil-related biomarkers
Lin Zhang, Yuan-Liang Ma, Que Li, et al.
Heliyon (2024) Vol. 10, Iss. 2, pp. e24189-e24189
Open Access | Times Cited: 3
Evaluating the Impacts of Procedural and Patient-Specific Factors on the Outcomes of Transcatheter Aortic Valve Implantation (TAVI)
Abilkhair Kurmanaliyev, Rima Braukylienė, Ali Aldujeli, et al.
Medicina (2025) Vol. 61, Iss. 1, pp. 94-94
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
Prediction of cardiovascular events with using proportional risk models and machine learning algorithms: a systematic review
I.A. Mishkin, О. М. Драпкина, А. V. Kontsevaya
The European Physical Journal Special Topics (2025)
Closed Access
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