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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 models in prediction of response to cardiac resynchronization therapy: a systematic review
Wojciech Nazar, Stanisław Szymanowicz, Krzysztof Nazar, et al.
Heart Failure Reviews (2023) Vol. 29, Iss. 1, pp. 133-150
Open Access | Times Cited: 9

Showing 9 citing articles:

The potential of artificial intelligence to revolutionize health care delivery, research, and education in cardiac electrophysiology
Sana M. Al‐Khatib, Jagmeet P. Singh, Hamid Ghanbari, et al.
Heart Rhythm (2024) Vol. 21, Iss. 6, pp. 978-989
Closed Access | Times Cited: 2
Speckle Tracking Echocardiography in Patients with Non-Ischemic Dilated Cardiomyopathy Who Undergo Cardiac Resynchronization Therapy: A Narrative Review
Nikolaos Antoniou, Maria Kalaitzoglou, Lamprini Tsigkriki, et al.
Diagnostics (2024) Vol. 14, Iss. 11, pp. 1178-1178
Open Access | Times Cited: 2
Machine Learning and Deep Learning Methods for Fast and Accurate Assessment of Transthoracic Echocardiogram Image Quality
Wojciech Nazar, Krzysztof Nazar, Ludmiła Daniłowicz‐Szymanowicz
Life (2024) Vol. 14, Iss. 6, pp. 761-761
Open Access | Times Cited: 2
Characterization of cardiac resynchronization therapy response through machine learning and personalized models
Marion Taconné, Virginie Le Rolle, Elena Galli, et al.
Computers in Biology and Medicine (2024) Vol. 180, pp. 108986-108986
Open Access | Times Cited: 2
Future prediction for precautionary measures associated with heart-related issues based on IoT prototype
Ganesh Yenurkar, Sandip Mal, Advait Wakulkar, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 23, pp. 63723-63753
Closed Access
Machine learning of ECG waveforms and cardiac magnetic resonance for response and survival after cardiac resynchronization therapy
Derek Bivona, Sona Ghadimi, Yu Wang, et al.
Computers in Biology and Medicine (2024) Vol. 178, pp. 108627-108627
Closed Access
Machine learning-based prediction of 1-year all-cause mortality in patients undergoing CRT implantation: Validation of the SEMMELWEIS-CRT score in the European CRT Survey I dataset
Márton Tokodi, Annamária Kosztin, Attila Kovács, et al.
European Heart Journal - Digital Health (2024) Vol. 5, Iss. 5, pp. 563-571
Open Access
Digital health in cardiovascular medicine: An overview of key applications and clinical impact by the Portuguese Society of Cardiology Study Group on Digital Health
M Grine, Cláudio Guerreiro, Francisco Moscoso Costa, et al.
Revista Portuguesa de Cardiologia (2024)
Open Access
Mathematical models and artificial intelligence for studying the ventricular dyssynchrony and improving the effectiveness of cardiac resynchronization therapy
Tatiana Nesterova, Vasily Kabak, Д. С. Лебедев, et al.
Russian Journal of Cardiology (2024) Vol. 29, Iss. 4S, pp. 6194-6194
Open Access
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