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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:

Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction: an international multicentre study
Andrew Lin, Nipun Manral, Priscilla McElhinney, et al.
The Lancet Digital Health (2022) Vol. 4, Iss. 4, pp. e256-e265
Open Access | Times Cited: 181

Showing 1-25 of 181 citing articles:

Artificial intelligence in cardiovascular diseases: diagnostic and therapeutic perspectives
Xiaoyu Sun, Yuzhe Yin, Qiwei Yang, et al.
European journal of medical research (2023) Vol. 28, Iss. 1
Open Access | Times Cited: 57
Subclinical Coronary Atherosclerosis and Risk for Myocardial Infarction in a Danish Cohort
Andreas Fuchs, Jørgen Tobias Kühl, Per E. Sigvardsen, et al.
Annals of Internal Medicine (2023) Vol. 176, Iss. 4, pp. 433-442
Closed Access | Times Cited: 55
Computed tomographic angiography in coronary artery disease
Patrick W. Serruys, Nozomi Kotoku, Bjarne Linde Nørgaard, et al.
EuroIntervention (2023) Vol. 18, Iss. 16, pp. e1307-e1327
Open Access | Times Cited: 41
Preliminary Evidence of the Use of Generative AI in Health Care Clinical Services: Systematic Narrative Review
Dobin Yim, Jiban Khuntia, Vijaya Parameswaran, et al.
JMIR Medical Informatics (2024) Vol. 12, pp. e52073-e52073
Open Access | Times Cited: 28
Charting the Unseen: How Non-Invasive Imaging Could Redefine Cardiovascular Prevention
Giancarlo Trimarchi, Fausto Pizzino, Umberto Paradossi, et al.
Journal of Cardiovascular Development and Disease (2024) Vol. 11, Iss. 8, pp. 245-245
Open Access | Times Cited: 28
Artificial intelligence in cardiovascular medicine: clinical applications
Thomas F. Lüscher, Florian A. Wenzl, Fabrizio D’Ascenzo, et al.
European Heart Journal (2024) Vol. 45, Iss. 40, pp. 4291-4304
Closed Access | Times Cited: 25
Atherosclerosis evaluation and cardiovascular risk estimation using coronary computed tomography angiography
Nick S. Nurmohamed, Alexander R. van Rosendael, Ibrahim Danad, et al.
European Heart Journal (2024) Vol. 45, Iss. 20, pp. 1783-1800
Open Access | Times Cited: 22
Artificial Intelligence for Cardiovascular Care—Part 1: Advances
Pierre Elias, Sneha S. Jain, Timothy J. Poterucha, et al.
Journal of the American College of Cardiology (2024) Vol. 83, Iss. 24, pp. 2472-2486
Closed Access | Times Cited: 19
Coronary artery disease evaluation during transcatheter aortic valve replacement work-up using photon-counting CT and artificial intelligence
Jan M. Brendel, Jonathan Walterspiel, Florian Hagen, et al.
Diagnostic and Interventional Imaging (2024) Vol. 105, Iss. 7-8, pp. 273-280
Open Access | Times Cited: 18
Value Creation Through Artificial Intelligence and Cardiovascular Imaging: A Scientific Statement From the American Heart Association
Kate Hanneman, David Playford, Damini Dey, et al.
Circulation (2024) Vol. 149, Iss. 6
Open Access | Times Cited: 17
Phenotyping atherosclerotic plaque and perivascular adipose tissue: signalling pathways and clinical biomarkers in atherosclerosis
Kajetan Grodecki, Jolien Geers, Jacek Kwieciński, et al.
Nature Reviews Cardiology (2025)
Closed Access | Times Cited: 2
Deep Learning of Coronary Calcium Scores From PET/CT Attenuation Maps Accurately Predicts Adverse Cardiovascular Events
Konrad Pieszko, Aakash Shanbhag, Aditya Killekar, et al.
JACC. Cardiovascular imaging (2022) Vol. 16, Iss. 5, pp. 675-687
Open Access | Times Cited: 40
Roadmap on the use of artificial intelligence for imaging of vulnerable atherosclerotic plaque in coronary arteries
Bernhard Föllmer, Michelle C. Williams, Damini Dey, et al.
Nature Reviews Cardiology (2023) Vol. 21, Iss. 1, pp. 51-64
Open Access | Times Cited: 36
Patient-specific modeling of blood flow in the coronary arteries
Charles A. Taylor, Kersten Petersen, Nan Xiao, et al.
Computer Methods in Applied Mechanics and Engineering (2023) Vol. 417, pp. 116414-116414
Open Access | Times Cited: 30
Recent advances in artificial intelligence for cardiac CT: Enhancing diagnosis and prognosis prediction
Fuminari Tatsugami, Takeshi Nakaura, Masahiro Yanagawa, et al.
Diagnostic and Interventional Imaging (2023) Vol. 104, Iss. 11, pp. 521-528
Closed Access | Times Cited: 29
Milestones in CT: Past, Present, and Future
Cynthia H. McCollough, Prabhakar Rajiah
Radiology (2023) Vol. 309, Iss. 1
Closed Access | Times Cited: 25
Advances in Diagnosis, Therapy, and Prognosis of Coronary Artery Disease Powered by Deep Learning Algorithms
Miao Chu, Peng Wu, Guanyu Li, et al.
JACC Asia (2023) Vol. 3, Iss. 1, pp. 1-14
Open Access | Times Cited: 24
Advances in Coronary Computed Tomographic Angiographic Imaging of Atherosclerosis for Risk Stratification and Preventive Care
Solomon Bienstock, Fay Y. Lin, Ron Blankstein, et al.
JACC. Cardiovascular imaging (2023) Vol. 16, Iss. 8, pp. 1099-1115
Open Access | Times Cited: 24
Standards for quantitative assessments by coronary computed tomography angiography (CCTA)
Koen Nieman, Héctor M. García‐García, Alexandre Hideo‐Kajita, et al.
Journal of cardiovascular computed tomography (2024) Vol. 18, Iss. 5, pp. 429-443
Closed Access | Times Cited: 14
Diagnostic and prognostic performance of artificial intelligence-based fully-automated on-site CT-FFR in patients with CAD
Bangjun Guo, Mengchun Jiang, Xiang Guo, et al.
Science Bulletin (2024) Vol. 69, Iss. 10, pp. 1472-1485
Open Access | Times Cited: 12
Interaction of AI-Enabled Quantitative Coronary Plaque Volumes on Coronary CT Angiography, FFR CT , and Clinical Outcomes: A Retrospective Analysis of the ADVANCE Registry
James Dundas, Jonathon Leipsic, Timothy Fairbairn, et al.
Circulation Cardiovascular Imaging (2024) Vol. 17, Iss. 3
Closed Access | Times Cited: 11
Machine Learning and Bias in Medical Imaging: Opportunities and Challenges
Amey Vrudhula, Alan C. Kwan, David Ouyang, et al.
Circulation Cardiovascular Imaging (2024) Vol. 17, Iss. 2
Closed Access | Times Cited: 10
Evaluating Artificial Intelligence's Role in Teaching the Reporting and Interpretation of Computed Tomographic Angiography for Preoperative Planning of the Deep Inferior Epigastric Artery Perforator Flap
Bryan Lim, Jevan Cevik, Ishith Seth, et al.
JPRAS Open (2024) Vol. 40, pp. 273-285
Open Access | Times Cited: 8
Challenges and advances in the management of inflammation in atherosclerosis
Yuncan- Xing, Xianhe Lin
Journal of Advanced Research (2024)
Open Access | Times Cited: 8
Automated classification of coronary LEsions fRom coronary computed Tomography angiography scans with an updated deep learning model: ALERT study
Victor A. Verpalen, Casper F. Coerkamp, José P.S. Henriques, et al.
European Radiology (2025)
Open Access | Times Cited: 1
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