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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:

Deep-learning-assisted analysis of echocardiographic videos improves predictions of all-cause mortality
Alvaro Ulloa, Linyuan Jing, Christopher W. Good, et al.
Nature Biomedical Engineering (2021) Vol. 5, Iss. 6, pp. 546-554
Closed Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

Monitoring blood pressure and cardiac function without positioning via a deep learning–assisted strain sensor array
Shuo Li, Haomin Wang, Wei Ma, et al.
Science Advances (2023) Vol. 9, Iss. 32
Open Access | Times Cited: 125
Transforming Cardiovascular Care With Artificial Intelligence: From Discovery to Practice
Rohan Khera, Evangelos K. Oikonomou, Girish N. Nadkarni, et al.
Journal of the American College of Cardiology (2024) Vol. 84, Iss. 1, pp. 97-114
Closed Access | Times Cited: 44
Artificial intelligence in the diagnosis and management of colorectal cancer liver metastases
Gianluca Rompianesi, Francesca Pegoraro, Carlo Ceresa, et al.
World Journal of Gastroenterology (2021) Vol. 28, Iss. 1, pp. 108-122
Open Access | Times Cited: 76
A deep learning-based electrocardiogram risk score for long term cardiovascular death and disease
J. Weston Hughes, James Tooley, Jessica Torres Soto, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 27
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: 13
Deep Learning for Echo Analysis, Tracking, and Evaluation of Mitral Regurgitation (DELINEATE-MR)
Aaron S. Long, Christopher M. Haggerty, Joshua Finer, et al.
Circulation (2024) Vol. 150, Iss. 12, pp. 911-922
Open Access | Times Cited: 9
Artificial Intelligence in Imaging for Personalized Management of Coronary Artery Disease
Adrian Bednarek, Karolina Gumiężna, Piotr Baruś, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 2, pp. 462-462
Open Access | Times Cited: 1
Designing clinically translatable artificial intelligence systems for high-dimensional medical imaging
Rohan Shad, John P. Cunningham, Euan A. Ashley, et al.
Nature Machine Intelligence (2021) Vol. 3, Iss. 11, pp. 929-935
Open Access | Times Cited: 39
Human versus Artificial Intelligence–Based Echocardiographic Analysis as a Predictor of Outcomes: An Analysis from the World Alliance Societies of Echocardiography COVID Study
Federico M. Asch, Tine Descamps, Rizwan Sarwar, et al.
Journal of the American Society of Echocardiography (2022) Vol. 35, Iss. 12, pp. 1226-1237.e7
Open Access | Times Cited: 24
Cartography of Genomic Interactions Enables Deep Analysis of Single-Cell Expression Data
Md Tauhidul Islam, Lei Xing
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 12
Development and validation of echocardiography-based machine-learning models to predict mortality
Akshay Valsaraj, Sunil V. Kalmady, Vaibhav Sharma, et al.
EBioMedicine (2023) Vol. 90, pp. 104479-104479
Open Access | Times Cited: 9
Artificial Intelligence framework with traditional computer vision and deep learning approaches for optimal automatic segmentation of left ventricle with scar
Michail Mamalakis, Pankaj Garg, Tom Nelson, et al.
Artificial Intelligence in Medicine (2023) Vol. 143, pp. 102610-102610
Closed Access | Times Cited: 9
Expert level of detection of interictal discharges with a deep neural network
Marleen C. Tjepkema‐Cloostermans, Martijn R. Tannemaat, Luuk Wieske, et al.
Epilepsia (2024)
Open Access | Times Cited: 3
Applications of artificial intelligence in the thorax: a narrative review focusing on thoracic radiology
Yisak Kim, Ji Yoon Park, Eui Jin Hwang, et al.
Journal of Thoracic Disease (2021) Vol. 13, Iss. 12, pp. 6943-6962
Open Access | Times Cited: 22
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
Automatic detection of prostate cancer grades and chronic prostatitis in biparametric MRI
Oleksii Bashkanov, Marko Rak, Anneke Meyer, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 239, pp. 107624-107624
Open Access | Times Cited: 7
Automated echocardiographic diastolic function grading: A hybrid multi-task deep learning and machine learning approach
Qizhe Cai, Mingming Lin, Miao Zhang, et al.
International Journal of Cardiology (2024) Vol. 416, pp. 132504-132504
Closed Access | Times Cited: 2
Machine Learning in Cardiovascular Imaging
Nobuyuki Kagiyama, Márton Tokodi, Partho P. Sengupta
Heart Failure Clinics (2022) Vol. 18, Iss. 2, pp. 245-258
Closed Access | Times Cited: 10
Prospects for cardiovascular medicine using artificial intelligence
Satoshi Kodera, Hiroshi Akazawa, Hiroyuki Morita, et al.
Journal of Cardiology (2021) Vol. 79, Iss. 3, pp. 319-325
Open Access | Times Cited: 13
Advancing cardiovascular medicine with machine learning: Progress, potential, and perspective
Joshua Barrios, Geoffrey H. Tison
Cell Reports Medicine (2022) Vol. 3, Iss. 12, pp. 100869-100869
Open Access | Times Cited: 9
Automated analysis of limited echocardiograms: Feasibility and relationship to outcomes in COVID-19
Patricia A. Pellikka, Jordan B. Strom, Gabriel M. Pajares-Hurtado, et al.
Frontiers in Cardiovascular Medicine (2022) Vol. 9
Open Access | Times Cited: 8
The Role of Artificial Intelligence in Echocardiography: A Clinical Update
Daniel Aziz, Kameswari Maganti, Naveena Yanamala, et al.
Current Cardiology Reports (2023) Vol. 25, Iss. 12, pp. 1897-1907
Closed Access | Times Cited: 4
Deep learning-assisted intelligent wearable precise cardiovascular monitoring system
Wei Zhai, Kun Dai, Hu Liu, et al.
Science Bulletin (2024) Vol. 69, Iss. 9, pp. 1176-1178
Closed Access | Times Cited: 1
Deep learning from latent spatiotemporal information of the heart: Identifying advanced bioimaging markers from echocardiograms
Amanda Chang, Xiaodong Wu, Kan Liu
Biophysics Reviews (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 1
Extracellular vesicles from inflammatory-stimulated BMSCs ameliorate osteoarthritis via Rpl14 mediated synovial macrophage polarization
Jiajia Lu, Xiaojian Shi, Qiang Fu, et al.
Chemical Engineering Journal (2024) Vol. 499, pp. 156541-156541
Closed Access | Times Cited: 1
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