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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:

Assessment of Artificial Intelligence in Echocardiography Diagnostics in Differentiating Takotsubo Syndrome From Myocardial Infarction
Fabian Laumer, Davide Di Vece, Victoria L. Cammann, et al.
JAMA Cardiology (2022) Vol. 7, Iss. 5, pp. 494-494
Open Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

The Role of Artificial Intelligence in Echocardiography
Timothy Barry, Juan Farina, Chieh‐Ju Chao, et al.
Journal of Imaging (2023) Vol. 9, Iss. 2, pp. 50-50
Open Access | Times Cited: 65
Charting the Unseen: How Non-Invasive Imaging Could Redefine Cardiovascular Prevention
Giancarlo Trimarchi, Fausto Pizzino, Umberto Paradossi, et al.
Journal of Cardiovascular Development and Disease (2024) Vol. 11, Iss. 8, pp. 245-245
Open Access | Times Cited: 29
Deep Learning for Cardiovascular Imaging
Ramsey M. Wehbe, Aggelos K. Katsaggelos, Kristian J. Hammond, et al.
JAMA Cardiology (2023) Vol. 8, Iss. 11, pp. 1089-1089
Closed Access | Times Cited: 24
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: 10
Machine learning in the prediction of in-hospital mortality in patients with first acute myocardial infarction
Xiaoli Zhu, Bojian Xie, Yijun Chen, et al.
Clinica Chimica Acta (2024) Vol. 554, pp. 117776-117776
Open Access | Times Cited: 9
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: 18
Revolutionising Acute Cardiac Care With Artificial Intelligence: Opportunities and Challenges
Gemina Doolub, Shaan Khurshid, Pascal Thériault-Lauzier, et al.
Canadian Journal of Cardiology (2024) Vol. 40, Iss. 10, pp. 1813-1827
Open Access | Times Cited: 5
Using Deep Learning to Detect the Presence and Location of Hemoperitoneum on the Focused Assessment with Sonography in Trauma (FAST) Examination in Adults
Megan Leo, İlkay Yıldız Potter, Mohsen Zahiri, et al.
Journal of Digital Imaging (2023) Vol. 36, Iss. 5, pp. 2035-2050
Open Access | Times Cited: 12
Diagnostic models to differentiate Takotsubo syndrome from acute coronary syndrome: A systematic review and meta‐analysis
Carlos Diaz‐Arocutipa, Adrían V. Hernández, Cesar Joel Benites‐Moya, et al.
European Journal of Heart Failure (2025)
Closed Access
Advancements in Artificial Intelligence in Noninvasive Cardiac Imaging: A Comprehensive Review
Oluwaremilekun Tolu-Akinnawo, Francis Ezekwueme, Olukunle Omolayo, et al.
Clinical Cardiology (2025) Vol. 48, Iss. 1
Open Access
Long-term outcomes and worse clinical course in Takotsubo syndrome patients with amyotrophic lateral sclerosis
Luca Fazzini, Alessandro Martis, Maria Ida Pateri, et al.
Journal of Cardiovascular Medicine (2025) Vol. 26, Iss. 4, pp. 184-190
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
Predicting Takotsubo Syndrome Subtypes: An Interpretable Machine Learning Model for Differentiating Emotional Versus Physical Aetiologies
Diego Scuppa, Francesca Colaceci, Marco Sciandrone, et al.
(2025)
Closed Access
Gender Differences in Takotsubo Syndrome
Tsutomu Murakami, Tomoyoshi Komiyama, Hiroyuki Kobayashi, et al.
Biology (2022) Vol. 11, Iss. 5, pp. 653-653
Open Access | Times Cited: 18
Machines that save lives in the intensive care unit: the ultrasonography machine
Paul H. Mayo, Michelle S. Chew, Ghislaine Douflé, et al.
Intensive Care Medicine (2022) Vol. 48, Iss. 10, pp. 1429-1438
Open Access | Times Cited: 18
The Impact of Artificial Intelligence on Cardiovascular Disease Diagnosis: A Review
Ifra Chaudhary, Hassan Anwar
(2024) Vol. 17, Iss. 11, pp. 8-13
Open Access | Times Cited: 3
Interpretation of SPECT Wall Motion with Deep Learning
Yangmei Zhang, Emma Bos, Owen Clarkin, et al.
Journal of Nuclear Cardiology (2024) Vol. 37, pp. 101881-101881
Open Access | Times Cited: 3
Artificial intelligence applied to cardiovascular imaging, a critical focus on echocardiography: The point‐of‐view from “the other side of the coin”
Luca Dell’Angela, Gian Luigi Nicolosi
Journal of Clinical Ultrasound (2022) Vol. 50, Iss. 6, pp. 772-780
Closed Access | Times Cited: 13
Deep learning combined with attention mechanisms to assist radiologists in enhancing breast cancer diagnosis: a study on photoacoustic imaging
Guoqiu Li, Zhibin Huang, Hongtian Tian, et al.
Biomedical Optics Express (2024) Vol. 15, Iss. 8, pp. 4689-4689
Open Access | Times Cited: 2
Deep learning-based approaches for myocardial infarction detection: A comprehensive review recent advances and emerging challenges
Elshafey Radwa, Ridha Hamila, Fayçal Bensaali
Medicine in Novel Technology and Devices (2024) Vol. 23, pp. 100322-100322
Open Access | Times Cited: 2
Artificial Intelligence Algorithms Permits Rapid Acute Kidney Injury Risk Classification of Patients with Acute Myocardial Infarction
Jun Wei, Dabei Cai, Tingting Xiao, et al.
Heliyon (2024) Vol. 10, Iss. 16, pp. e36051-e36051
Open Access | Times Cited: 2
Artificial intelligence and myocarditis—a systematic review of current applications
Paweł Łajczak, Kamil Jóźwik
Heart Failure Reviews (2024) Vol. 29, Iss. 6, pp. 1217-1234
Open Access | Times Cited: 2
Machine Learning Applications in Acute Coronary Syndrome: Diagnosis, Outcomes and Management
Shanshan Nie, Shan Zhang, Yuhang Zhao, et al.
Advances in Therapy (2024) Vol. 42, Iss. 2, pp. 636-665
Closed Access | Times Cited: 2
Weakly supervised inference of personalized heart meshes based on echocardiography videos
Fabian Laumer, Mounir Amrani, Laura Manduchi, et al.
Medical Image Analysis (2022) Vol. 83, pp. 102653-102653
Open Access | Times Cited: 10
Automated detection and localization of pericardial effusion from point-of-care cardiac ultrasound examination
İlkay Yıldız Potter, Megan Leo, Ashkan Vaziri, et al.
Medical & Biological Engineering & Computing (2023) Vol. 61, Iss. 8, pp. 1947-1959
Open Access | Times Cited: 6
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