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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:

Using deep learning method to identify left ventricular hypertrophy on echocardiography
Yu Xiang, Xinxia Yao, Bifeng Wu, et al.
The International Journal of Cardiovascular Imaging (2021) Vol. 38, Iss. 4, pp. 759-769
Open Access | Times Cited: 24

Showing 24 citing articles:

Differential diagnosis of common etiologies of left ventricular hypertrophy using a hybrid CNN-LSTM model
In‐Chang Hwang, Dongjun Choi, You‐Jung Choi, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 34
Advance of echocardiography in cardiac amyloidosis
Shichu Liang, Zhiyue Liu, Qian Li, et al.
Heart Failure Reviews (2023) Vol. 28, Iss. 6, pp. 1345-1356
Open Access | Times Cited: 14
Deep learning supported echocardiogram analysis: A comprehensive review
G Sanjeevi, G. Uma, Rahul Krishnan Parthinarupothi, et al.
Artificial Intelligence in Medicine (2024) Vol. 151, pp. 102866-102866
Closed Access | Times Cited: 4
Artificial intelligence for left ventricular hypertrophy detection and differentiation on echocardiography, cardiac magnetic resonance and cardiac computed tomography: A systematic review
Chiara Cirillo, Margherita A. G. Matarrese, Emanuele Monda, et al.
International Journal of Cardiology (2025) Vol. 422, pp. 132979-132979
Closed Access
An AlexNet Model for Diagnosing Left Ventricular Hypertrophy Using ECG Signals
Deepika Ryakala, P. Balaji Srikaanth
Lecture notes in networks and systems (2025), pp. 219-229
Closed Access
Artificial Intelligence-Enhanced Analysis of Echocardiography-Based Radiomic Features for Myocardial Hypertrophy Detection and Etiology Differentiation
Inki Moon, Jina Lee, Seung-Ah Lee, et al.
Circulation Cardiovascular Imaging (2025)
Closed Access
Value of Artificial Intelligence for Enhancing Suspicion of Cardiac Amyloidosis Using Electrocardiography and Echocardiography: A Narrative Review
Martha Grogan, Francisco López-Jiménez, Spencer Guthrie, et al.
Journal of the American Heart Association (2025)
Open Access
DeformFlowNet: A deformable transformer with optical flow constraint for interventricular septum segmentation in echocardiography videos
Qiang Guo, Xu Zhou, Weiwei Tan, et al.
Biomedical Signal Processing and Control (2025) Vol. 108, pp. 107952-107952
Closed Access
Developing an Echocardiography-Based, Automatic Deep Learning Framework for the Differentiation of Increased Left Ventricular Wall Thickness Etiologies
James Li, Chieh‐Ju Chao, Jiwoong Jeong, et al.
Journal of Imaging (2023) Vol. 9, Iss. 2, pp. 48-48
Open Access | Times Cited: 9
Transforming Echocardiography: The Role of Artificial Intelligence in Enhancing Diagnostic Accuracy and Accessibility
Kenya Kusunose
Internal Medicine (2024) Vol. 64, Iss. 3, pp. 331-336
Open Access | Times Cited: 2
A data-efficient zero-shot and few-shot Siamese approach for automated diagnosis of left ventricular hypertrophy
Moomal Farhad, Mohammad Mehedy Masud, Azam Beg, et al.
Computers in Biology and Medicine (2023) Vol. 163, pp. 107129-107129
Open Access | Times Cited: 5
Deep Learning Model for Estimation of LV Ejection Fraction from Echocardiogram
N. Navina, Lalitha Jayashree, M. Shanmuhappriya
Journal of Artificial Intelligence and Capsule Networks (2024) Vol. 6, Iss. 2, pp. 189-209
Open Access | Times Cited: 1
Deep learning of echocardiography distinguishes between presence and absence of late gadolinium enhancement on cardiac magnetic resonance in patients with hypertrophic cardiomyopathy
Keitaro Akita, Kenya Kusunose, Akihiro Haga, et al.
Echo Research and Practice (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
Heterogeneous Distribution of Genetic Mutations in Myosin Binding Protein-C Paralogs
Darshini Desai, Vinay J. Rao, Anil G. Jegga, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 6
Multi-channel deep learning model-based myocardial spatial–temporal morphology feature on cardiac MRI cine images diagnoses the cause of LVH
Kaiyue Diao, Hong‐Qing Liang, Hongkun Yin, et al.
Insights into Imaging (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Echocardiography in the Diagnosis of Cardiomyopathies: Current Status and Future Directions
Livia Trașcă, M Popescu, Andreea C. Popescu, et al.
Reviews in Cardiovascular Medicine (2022) Vol. 23, Iss. 8
Open Access | Times Cited: 3
The Evolution and Scope of Cardiac Amyloidosis Research: A Bibliometric Analysis of Echocardiography
Liao Mei, Chuangli Feng, Juan Guo
Research Square (Research Square) (2024)
Open Access
Enhanced classification of left ventricular hypertrophy in cardiac patients using extended Siamese CNN
Moomal Farhad, Mohammad Mehedy Masud, Azam Beg, et al.
Physics in Medicine and Biology (2024) Vol. 69, Iss. 14, pp. 145001-145001
Open Access
Application Status and Prospect of Deep Learning in Echocardiography
Qi Qi, Xiaoxiang Han, Yiman Liu
IEEE Access (2024) Vol. 12, pp. 83405-83416
Open Access
The Evolution and Scope of Echocardiography on Cardiac Amyloidosis Research: A Bibliometric Analysis
Meimei Liao, Chuangli Feng, Juan Guo
Authorea (Authorea) (2024)
Open Access
Automated LVH Grading: Integration of Deep Learning and Explainable AI for Accurate Diagnosis
Moomal Farhad, Mohammad Mehedy Masud
(2024), pp. 212-218
Closed Access
Intelligent imaging technology applications in multidisciplinary hospitals: A systematic review
Ke Fan, Lei Yang, Fei Ren, et al.
Chinese Medical Journal (2024)
Open Access
Challenges and solutions of echocardiography generalization for deep learning: a study in patients with constrictive pericarditis
Jiwoong Jeong, Chieh‐Ju Chao, Reza Arsanjani, et al.
Journal of Medical Imaging (2023) Vol. 10, Iss. 05
Closed Access
Differential diagnosis of common etiologies of left ventricular hypertrophy using a hybrid CNN-LSTM model
In‐Chang Hwang, Dongjun Choi, You‐Jung Choi, et al.
Research Square (Research Square) (2022)
Closed Access
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