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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:

Artificial Intelligence Application on Point-of-Care Ultrasound
Hong Wang, Adam M. Uraco, James Hughes
Journal of Cardiothoracic and Vascular Anesthesia (2021) Vol. 35, Iss. 11, pp. 3451-3452
Open Access | Times Cited: 19

Showing 19 citing articles:

Point-of-care ultrasound training in nephrology: a position statement by the International Alliance for POCUS in Nephrology
Abhilash Koratala, Eduardo R. Argaiz, Gregorio Romero‐González, et al.
Clinical Kidney Journal (2024) Vol. 17, Iss. 11
Open Access | Times Cited: 7
Artificial intelligence and point-of-care ultrasound: Benefits, limitations, and implications for the future
Fae Kayarian, Daven Patel, J.R. O’Brien, et al.
The American Journal of Emergency Medicine (2024) Vol. 80, pp. 119-122
Closed Access | Times Cited: 6
Rescue Transesophageal Echocardiography: A Narrative Review of Current Knowledge and Practice
C.I. Efrimescu, Aneurin Moorthy, Michael J. Griffin
Journal of Cardiothoracic and Vascular Anesthesia (2023) Vol. 37, Iss. 4, pp. 584-600
Closed Access | Times Cited: 12
Acquisition of Cardiac Point-of-Care Ultrasound Images With Deep Learning
Evan Baum, Megha D. Tandel, Casey Ren, et al.
CHEST Pulmonary (2023) Vol. 1, Iss. 3, pp. 100023-100023
Open Access | Times Cited: 11
Artificial Intelligence Assessment of Biological Age From Transthoracic Echocardiography: Discrepancies with Chronologic Age Predict Significant Excess Mortality
Kobi Faierstein, Michael Fiman, Ranel Loutati, et al.
Journal of the American Society of Echocardiography (2024) Vol. 37, Iss. 8, pp. 725-735
Closed Access | Times Cited: 4
Which Type of POCUS Do You Do? Echoing The American Society of Echocardiography's Recommendations for Cardiac Point-of-Care Ultrasound Nomenclature
Nikhil Chawla, Mario Montealegre-Gallegos, Andrew P. Notarianni
Journal of Cardiothoracic and Vascular Anesthesia (2025)
Closed Access
A scoping review on the integration of artificial intelligence in point-of-care ultrasound: Current clinical applications
Junu Kim, Sandhya Maranna, C. A. Watson, et al.
The American Journal of Emergency Medicine (2025)
Open Access
Overcoming barriers in the use of artificial intelligence in point of care ultrasound
Roberto Vega, Masood Dehghan, Arun Nagdev, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access
Artificial Intelligence in Lung Ultrasound
D. Chu, Andrew S. Liteplo, Nicole M. Duggan, et al.
Current Pulmonology Reports (2024) Vol. 13, Iss. 2, pp. 127-134
Closed Access | Times Cited: 3
Continuing professional development for primary care physicians: a pre-post analysis of a focused abdominal point-of-care ultrasound pilot training
Itamar Ben Shitrit, Karny Ilan, Moshe Shmueli, et al.
BMC Medical Education (2025) Vol. 25, Iss. 1
Open Access
Assessment of the Educational and Training Modalities in Point-of-Care Ultrasound (POCUS) for Anesthesiologists
Cy Mozingo, Grant Neely
International Anesthesiology Clinics (2024)
Closed Access | Times Cited: 1
FLUEnT: Transformer for detecting lung consolidations in videos using fused lung ultrasound encodings
Umair Khan, Russell G. Thompson‬‬, Jason Li, et al.
Computers in Biology and Medicine (2024) Vol. 180, pp. 109014-109014
Open Access | Times Cited: 1
Artificial intelligence-assisted focused cardiac ultrasound training: A survey among undergraduate medical students
Hatem Soliman-Aboumarie, Joachim Geers, Dominic Lowcock, et al.
Ultrasound (2024)
Closed Access | Times Cited: 1
Developing a Canadian artificial intelligence medical curriculum using a Delphi study
Rohit Singla, Nikola Pupic, Seyed-Aryan Ghaffarizadeh, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 1
Use of Artificial Intelligence for Acquisition of Limited Echocardiograms: A Randomized Controlled Trial for Educational Outcomes
Evan Baum, Megha D. Tandel, Casey Ren, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
US in the pocket: At last a stethoscope for the rheumatologists?
Benoît Le Goff
Joint Bone Spine (2021) Vol. 89, Iss. 1, pp. 105264-105264
Closed Access | Times Cited: 4
Developing a Canadian Artificial Intelligence Medical Curriculum: A Delphi Study
Rohit Singla, Nikola Pupic, Seyed-Aryan Ghaffarizadeh, et al.
Research Square (Research Square) (2024)
Open Access
Continuing professional development for primary care physicians: a pre-post study on lung point-of-care ultrasound curriculum
Itamar Ben Shitrit, Moshe Shmueli, Karny Ilan, et al.
BMC Medical Education (2024) Vol. 24, Iss. 1
Open Access
Point-of-Care-Ultraschall in Gynäkologie und Geburtshilfe
Florian Recker
Die Gynäkologie (2023) Vol. 56, Iss. 12, pp. 897-904
Open Access | Times Cited: 1
Application of wireless ultrasound for guided caudal anesthesia in children undergoing concealed penis surgery
Yi Zhu, Ting Xiao, Shuibing Zhang, et al.
Biotechnology and Genetic Engineering Reviews (2023) Vol. 40, Iss. 4, pp. 4589-4598
Closed Access
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