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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 algorithm using publicly available echo database for simplified “visual estimation” of left ventricular ejection fraction
Michael Blaivas, Laura Blaivas
World Journal of Experimental Medicine (2022) Vol. 12, Iss. 2, pp. 16-25
Open Access | Times Cited: 13

Showing 13 citing articles:

Leveraging Comprehensive Echo Data to Power AI Models for Handheld Cardiac Ultrasound
D. M. Anisuzzaman, Jeffrey G. Malins, John I. Jackson, et al.
Mayo Clinic Proceedings Digital Health (2025), pp. 100194-100194
Closed Access | Times Cited: 1
Ejection Fraction Estimation from Echocardiograms Using Optimal Left Ventricle Feature Extraction Based on Clinical Methods
Samana Batool, Imtiaz Ahmad Taj, Mubeen Ghafoor
Diagnostics (2023) Vol. 13, Iss. 13, pp. 2155-2155
Open Access | Times Cited: 11
EFNet: estimation of left ventricular ejection fraction from cardiac ultrasound videos using deep learning
Waqas Ali, Wesam H. Alsabban, Muhammad Shahbaz, et al.
PeerJ Computer Science (2025) Vol. 11, pp. e2506-e2506
Open Access
Use of Artificial Intelligence and Machine Learning in Critical Care Ultrasound
Marcus Peck, Hannah Conway
Critical Care Clinics (2025)
Closed Access
Deep Learning in Echocardiography for Enhanced Detection of Left Ventricular Function and Wall Motion Abnormalities
Manal Alhussein, M. Liu
Ultrasound in Medicine & Biology (2025)
Closed Access
EFNet: A multitask deep learning network for simultaneous quantification of left ventricle structure and function
Samana Batool, Imtiaz Ahmad Taj, Mubeen Ghafoor
Physica Medica (2024) Vol. 125, pp. 104505-104505
Closed Access | Times Cited: 2
Segmentation-Free Estimation of Left Ventricular Ejection Fraction Using 3D CNN Is Reliable and Improves as Multiple Cardiac MRI Cine Orientations Are Combined
Philippe Germain, Aïssam Labani, Armine Vardazaryan, et al.
Biomedicines (2024) Vol. 12, Iss. 10, pp. 2324-2324
Open Access | Times Cited: 1
Lightweight and Interpretable Left Ventricular Ejection Fraction Estimation using Mobile U-Net
Meghan Muldoon, Naimul Khan
(2023)
Open Access | Times Cited: 2
Lightweight and Interpretable Left Ventricular Ejection Fraction Estimation Using Mobile U-Net
Meghan Muldoon, Naimul Khan
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2023), pp. 1-5
Open Access | Times Cited: 2
Predicting Ejection Fractions from Echocardiogram Videos Using Deep Learning
Donya Hassan, Ali Obied
Lecture notes in networks and systems (2024), pp. 217-225
Closed Access
Deep Learning Methods for Echocardiogram Analysis
Meghan Muldoon
(2024)
Open Access
Deep Learning Methods for Echocardiogram Analysis
Meghan Muldoon
(2024)
Open Access
ViViEchoformer: Deep Video Regressor Predicting Ejection Fraction
Taymaz Akan, Sait Alp, Md. Shenuarin Bhuiyan, et al.
Deleted Journal (2024)
Open Access
Lightweight and Interpretable Left Ventricular Ejection Fraction Estimation using Mobile U-Net
Meghan Muldoon, Naimul Khan
(2023)
Open Access | Times Cited: 1
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