Open Access Helper

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:

The Need for Echocardiography Alerts for Aortic Stenosis: The Time Has Come
Glenn R. Barnhart, Randolph P. Martin, James D. Thomas, et al.
Journal of the American Society of Echocardiography (2020) Vol. 33, Iss. 3, pp. 355-357
Closed Access | Times Cited: 8

Showing 8 citing articles:

Challenges in Promoting Health Equity and Reducing Disparities in Access Across New and Established Technologies
Alex Hoagland, Sarah Kipping
Canadian Journal of Cardiology (2024) Vol. 40, Iss. 6, pp. 1154-1167
Open Access | Times Cited: 18
Incident aortic stenosis in 49 449 men and 42 229 women investigated with routine echocardiography
Simon Stewart, Yih‐Kai Chan, David Playford, et al.
Heart (2021) Vol. 108, Iss. 11, pp. 875-881
Closed Access | Times Cited: 29
Enhanced detection of severe aortic stenosis via artificial intelligence: a clinical cohort study
Geoff Strange, Simon Stewart, Andrew Watts, et al.
Open Heart (2023) Vol. 10, Iss. 2, pp. e002265-e002265
Open Access | Times Cited: 13
Narrative review of the role of artificial intelligence to improve aortic valve disease management
Martin Thoenes, Anurag Agarwal, David Grundmann, et al.
Journal of Thoracic Disease (2021) Vol. 13, Iss. 1, pp. 396-404
Open Access | Times Cited: 22
Impact of Managing Provider Type on Severe Aortic Stenosis Management and Mortality
Patricia A. Pellikka, Ratnasari Padang, Christopher G. Scott, et al.
Journal of the American Heart Association (2022) Vol. 11, Iss. 13
Open Access | Times Cited: 7
Artificial intelligence to assist physicians in identifying patients with severe aortic stenosis
James D. Thomas, O Petrescu, Soundos Moualla, et al.
Intelligence-Based Medicine (2022) Vol. 6, pp. 100059-100059
Open Access | Times Cited: 3
Detection of severe aortic stenosis by clinicians versus artificial intelligence: A retrospective clinical cohort study
Geoffrey A Strange, Michael P. Feneley, David L. Prior, et al.
American Heart Journal Plus Cardiology Research and Practice (2024) Vol. 48, pp. 100485-100485
Open Access
Using the Electronic Medical Record to Transform Care for Severe Aortic Stenosis
Renuka Jain, Bijoy K. Khandheria
Journal of the American Society of Echocardiography (2020) Vol. 33, Iss. 9, pp. 1159-1160
Closed Access | Times Cited: 1
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