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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:

Applications of artificial intelligence and machine learning in heart failure
Tauben Averbuch, Kristen Sullivan, Andrew J. Sauer, et al.
European Heart Journal - Digital Health (2022) Vol. 3, Iss. 2, pp. 311-322
Open Access | Times Cited: 66

Showing 26-50 of 66 citing articles:

Value of Bioinformatics Models for Predicting Translational Control of Angiogenesis
Michal Shaposhnikov, Juilee Thakar, Bradford C. Berk
Circulation Research (2025) Vol. 136, Iss. 10, pp. 1147-1165
Closed Access
Hybrid Classical–Quantum Transfer Learning for Cardiomegaly Detection in Chest X-rays
Pierre Decoodt, Tan Jun Liang, Soham Bopardikar, et al.
Journal of Imaging (2023) Vol. 9, Iss. 7, pp. 128-128
Open Access | Times Cited: 9
A Hybrid Method of 1D-CNN and Machine Learning Algorithms for Breast Cancer Detection
Ahmed Adil Nafea, Manar AL-Mahdawi, Khattab M. Ali Alheeti, et al.
Baghdad Science Journal (2024), pp. 3333-3333
Open Access | Times Cited: 3
Artificial Intelligence Approaches for Predicting the Risks of Durable Mechanical Circulatory Support Therapy and Cardiac Transplantation
Chloe Grzyb, Dongping Du, Nandini Nair
Journal of Clinical Medicine (2024) Vol. 13, Iss. 7, pp. 2076-2076
Open Access | Times Cited: 3
A Guide to Implementation Science for Phase 3 Clinical Trialists
Harriette G.C. Van Spall, Laura Desveaux, Tracy Finch, et al.
Journal of the American College of Cardiology (2024) Vol. 84, Iss. 20, pp. 2063-2072
Closed Access | Times Cited: 3
The role of early-phase trials and real-world evidence in drug development
Harriette G.C. Van Spall, Arnaud Bastien, Bernard J. Gersh, et al.
Nature Cardiovascular Research (2024) Vol. 3, Iss. 2, pp. 110-117
Closed Access | Times Cited: 2
Machine learning in heart failure diagnosis, prediction, and prognosis: review
Muhammad Saqib, Prinka Perswani, A. Muneem, et al.
Annals of Medicine and Surgery (2024)
Open Access | Times Cited: 2
Artificial Intelligence and Its Role in Diagnosing Heart Failure: A Narrative Review
Diptiman Medhi, Sushmitha Reddy Kamidi, Kannuru Paparaju Mamatha Sree, et al.
Cureus (2024)
Open Access | Times Cited: 2
Combination of Muller Matrix Imaging Polarimetry and Artificial Intelligence for Classification of Mice Skin Cancer Tissue In-Vitro and In-Vivo
Ngoc-Bao-Tran Nguyen, Quoc-Hoang-Quyen Vo, Thanh-Hai Le, et al.
Optik (2024) Vol. 311, pp. 171932-171932
Closed Access | Times Cited: 2
Pre- and post-surgery: advancements in artificial intelligence and machine learning models for enhancing patient management in infective endocarditis
Ramez M. Odat, Mohammed Dheyaa Marsool Marsool, Dang Nguyen, et al.
International Journal of Surgery (2024) Vol. 110, Iss. 11, pp. 7202-7214
Open Access | Times Cited: 2
COMPARISON OF MACHINE LEARNING ALGORITHMS FOR HEART DISEASE PREDICTION
Ayat Bahaa Abdulhussein, Turgay Tugay Bilgin
İstanbul Ticaret Üniversitesi Teknoloji ve Uygulamalı Bilimler Dergisi (2024) Vol. 7, Iss. 1, pp. 133-146
Closed Access | Times Cited: 2
Artificial intelligence bias in the prediction and detection of cardiovascular disease
Ariana Mihan, Ambarish Pandey, Harriette G.C. Van Spall
Deleted Journal (2024) Vol. 1, Iss. 1
Open Access | Times Cited: 2
Machine learning in predicting heart failure survival: a review of current models and future prospects
Emmanuel Kokori, Ravi V. Patel, Gbolahan Olatunji, et al.
Heart Failure Reviews (2024)
Closed Access | Times Cited: 2
Systems of care for ambulatory management of decompensated heart failure
Narotham Badrish, Stuart E. Sheifer, Carolyn Rosner
Frontiers in Cardiovascular Medicine (2024) Vol. 11
Open Access | Times Cited: 2
Will Artificial Intelligence Provide Answers to Current Gaps and Needs in Chronic Heart Failure?
Fabiola Boccuto, Salvatore De Rosa, Daniele Torella, et al.
Applied Sciences (2023) Vol. 13, Iss. 13, pp. 7663-7663
Open Access | Times Cited: 4
Patient Selection and End Point Definitions for Decongestion Studies in Acute Decompensated Heart Failure: Part 1
Gabriel Georges, Marat Fudim, Daniel Burkhoff, et al.
Journal of the Society for Cardiovascular Angiography & Interventions (2023) Vol. 2, Iss. 6, pp. 101060-101060
Open Access | Times Cited: 4
Prediction of five-year survival among esophageal cancer patients using machine learning
Raoof Nopour
Heliyon (2023) Vol. 9, Iss. 12, pp. e22654-e22654
Open Access | Times Cited: 4
Risk assessment of imported malaria in China: a machine learning perspective
Shuo Yang, Ruoyang Li, Shu-ning Yan, et al.
BMC Public Health (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
Applications of ChatGPT in Heart Failure Prevention, Diagnosis, Management, and Research: A Narrative Review
Sai Nikhila Ghanta, Subhi J. Al’Aref, Anuradha Lala-Trinidade, et al.
Diagnostics (2024) Vol. 14, Iss. 21, pp. 2393-2393
Open Access | Times Cited: 1
Artificial Intelligence Advancements in Cardiomyopathies: Implications for Diagnosis and Management of Arrhythmogenic Cardiomyopathy
Arman Salavati, C.L. van der Wilt, Martina Calore, et al.
Current Heart Failure Reports (2024) Vol. 22, Iss. 1
Closed Access | Times Cited: 1
An Ignatian approach to incorporating artificial intelligence into nursing curricula
Naif S. Alzahrani, Renée L. Davis, Chuntana Reangsing, et al.
Nurse Education in Practice (2023) Vol. 68, pp. 103608-103608
Closed Access | Times Cited: 3
Scoping Meta-Review of Methods Used to Assess Artificial Intelligence-Based Medical Devices for Heart Failure
Rossella Di Bidino, Davide Piaggio, Martina Andellini, et al.
Bioengineering (2023) Vol. 10, Iss. 10, pp. 1109-1109
Open Access | Times Cited: 3
Cost-Sensitive Models to Predict Risk of Cardiovascular Events in Patients with Chronic Heart Failure
Maria Carmela Groccia, Rosita Guido, Domenico Conforti, et al.
Information (2023) Vol. 14, Iss. 10, pp. 542-542
Open Access | Times Cited: 3
Trends in Passive IoT Biomarker Monitoring and Machine Learning for Cardiovascular Disease Management in the U.S. Elderly Population
Brian F. Bender, Jasmine A. Berry
Advances in Geriatric Medicine and Research (2023)
Open Access | Times Cited: 2
Survival Analysis of Heart Failure Patients Using Advanced Machine Learning Techniques
Pravalika Makam, Gorti Janardhan
(2023) Vol. 1, pp. 91-95
Closed Access | Times Cited: 2

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