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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:

Steps to use artificial intelligence in echocardiography
Kenya Kusunose
Journal of Echocardiography (2020) Vol. 19, Iss. 1, pp. 21-27
Open Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

The Integration of Artificial Intelligence into Clinical Practice
Vangelis Karalis
Applied Biosciences (2024) Vol. 3, Iss. 1, pp. 14-44
Open Access | Times Cited: 90
Evaluation of the Accuracy of ChatGPT in Answering Clinical Questions on the Japanese Society of Hypertension Guidelines
Kenya Kusunose, Shuichiro Kashima, Masataka Sata
Circulation Journal (2023) Vol. 87, Iss. 7, pp. 1030-1033
Open Access | Times Cited: 45
Artificial Intelligence in Congenital Heart Disease
Pei‐Ni Jone, Addison Gearhart, Howard Lei, et al.
JACC Advances (2022) Vol. 1, Iss. 5, pp. 100153-100153
Open Access | Times Cited: 28
Artificial intelligence to estimate the tear film breakup time and diagnose dry eye disease
Eisuke Shimizu, Toshiki Ishikawa, Makoto Tanji, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 21
Applications of Artificial Intelligence (AI) for cardiology during COVID-19 pandemic
Abid Haleem, Mohd Javaid, Ravi Pratap Singh, et al.
Sustainable Operations and Computers (2021) Vol. 2, pp. 71-78
Open Access | Times Cited: 40
Artificial Intelligence and Echocardiography
Yeonyee E. Yoon, Sekeun Kim, Hyuk‐Jae Chang
Journal of Cardiovascular Imaging (2021) Vol. 29, Iss. 3, pp. 193-193
Open Access | Times Cited: 36
Future Guidelines for Artificial Intelligence in Echocardiography
Andrew S. Tseng, Francisco Lopez‐Jimenez, Patricia A. Pellikka
Journal of the American Society of Echocardiography (2022) Vol. 35, Iss. 8, pp. 878-882
Closed Access | Times Cited: 25
Revolution of echocardiographic reporting: the new era of artificial intelligence and natural language processing
Kenya Kusunose
Journal of Echocardiography (2023) Vol. 21, Iss. 3, pp. 99-104
Closed Access | Times Cited: 15
Exploring the Role of ChatGPT in Cardiology: A Systematic Review of the Current Literature
Aditi Sharma, Tejas Medapalli, Micaella Alexandrou, et al.
Cureus (2024)
Open Access | Times Cited: 5
Routine Echocardiography and Artificial Intelligence Solutions
Mark J. Schuuring, Ivana Išgum, Bernard Cosyns, et al.
Frontiers in Cardiovascular Medicine (2021) Vol. 8
Open Access | Times Cited: 31
Assisted probe guidance in cardiac ultrasound: A review
Sofia Ferraz, Miguel Coimbra, João Pedrosa
Frontiers in Cardiovascular Medicine (2023) Vol. 10
Open Access | Times Cited: 12
Can Artificial Intelligence Revolutionize the Diagnosis and Management of the Atrial Septal Defect in Children?
Eliza Cinteză, Corina Maria Vasile, Ștefan Busnatu, et al.
Diagnostics (2024) Vol. 14, Iss. 2, pp. 132-132
Open Access | Times Cited: 4
Artificial Intelligence in Cardiovascular Healthcare
Uma Dutta, Bhudev C. Das
Advances in computational intelligence and robotics book series (2025), pp. 41-76
Closed Access
Impact of type 1 diabetes mellitus on cardiac and vascular parameters in children: A case–control study
Nagwa Mohamed Sabry Mahmoud, Mohamed Abdelmaaboud, Nasr Mohamed M. Osman, et al.
International Journal of Pediatrics and Adolescent Medicine (2025) Vol. 12, Iss. 1, pp. 47-62
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
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
Current role and future perspectives of artificial intelligence in echocardiography
Rafael Vidal-Pérez, Julia Grapsa, Alberto Bouzas‐Mosquera, et al.
World Journal of Cardiology (2023) Vol. 15, Iss. 6, pp. 284-292
Open Access | Times Cited: 10
How to standardize the measurement of left ventricular ejection fraction
Kenya Kusunose, Robert Zheng, Hirotsugu Yamada, et al.
Journal of Medical Ultrasonics (2021) Vol. 49, Iss. 1, pp. 35-43
Open Access | Times Cited: 18
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
Fine-tuned convolutional neural network for different cardiac view classification
B. P. Santosh Kumar, Mohd Anul Haq, P. Sreenivasulu, et al.
The Journal of Supercomputing (2022) Vol. 78, Iss. 16, pp. 18318-18335
Closed Access | Times Cited: 13
The Strategic Efficacy of Artificial Intelligence (AI) in Medical Tourism
Olabode Gbobaniyi, Daniela Tincani, Peter Emelone
Advances in hospitality, tourism and the services industry (AHTSI) book series (2024), pp. 99-138
Closed Access | Times Cited: 2
Intelligent detection of left ventricular hypertrophy from pediatric echocardiography videos
Yiman Liu, Xiaoxiang Han, Tongtong Liang, et al.
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 3
Closed Access | Times Cited: 2
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
Future Trends in Genetic Research and Their Implications for Public Health: A Literature Review
Iryna Orlova, Olha Abramchuk, Ivanna Babik, et al.
Futurity Medicine. (2024) Vol. 3, Iss. 4
Closed Access | Times Cited: 2
Artificial Intelligence and Its Application in Cardiovascular Disease Management
Vigneshwaran Namasivayam, Nithyashree Senguttuvan, Venkatesan Saravanan, et al.
(2022), pp. 189-236
Closed Access | Times Cited: 10
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