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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 for Epicardial Adipose Tissue Assessment With Computed Tomography
Henry West, Muhammad Siddique, Michelle C. Williams, et al.
JACC. Cardiovascular imaging (2023) Vol. 16, Iss. 6, pp. 800-816
Open Access | Times Cited: 46

Showing 26-50 of 46 citing articles:

Epicardial adipose tissue volume assessed by cardiac CT as a predictor of atrial fibrillation recurrence following catheter ablation
B Lacerda Teixeira, Pedro Silva Cunha, Ana Jacinto, et al.
Clinical Imaging (2024) Vol. 110, pp. 110170-110170
Open Access | Times Cited: 2
Artificial intelligence in coronary computed tomography angiography
Pengpeng Xu, T Y Liu, Fan Zhou, et al.
Medicine Plus (2024) Vol. 1, Iss. 1, pp. 100001-100001
Open Access | Times Cited: 1
CAR and CSTR Cardiac Computed Tomography (CT) Practice Guidelines: Part 1 Coronary CT Angiography (CCTA)
Elsie T. Nguyen, Courtney R. Green, Scott Adams, et al.
Canadian Association of Radiologists Journal (2024) Vol. 75, Iss. 3, pp. 488-501
Open Access | Times Cited: 1
Using artificial intelligence to study atherosclerosis from computed tomography imaging: A state-of-the-art review of the current literature
Laura Valentina Klüner, Kenneth Chan, Charalambos Antoniades
Atherosclerosis (2024) Vol. 398, pp. 117580-117580
Closed Access | Times Cited: 1
Morphological Changes of Peri-Coronary Adipose Tissue Together with Elevated NLR in Acute Myocardial Infarction Patients in-Hospital
Lin Qi, Yanglei Li, Chengqi Kong, et al.
Journal of Inflammation Research (2024) Vol. Volume 17, pp. 4065-4076
Open Access | Times Cited: 1
Research Advances and Applications of Artificial Intelligence in Cardiac CT
Linqi Zou, Ke Xu, Yining Wang
Meta-Radiology (2024) Vol. 2, Iss. 4, pp. 100114-100114
Open Access | Times Cited: 1
Advancements in Cardiac CT Imaging: The Era of Artificial Intelligence
Pietro Costantini, Léon Groenhoff, Eleonora Ostillio, et al.
Echocardiography (2024) Vol. 41, Iss. 12
Open Access | Times Cited: 1
Preventative Imaging with Coronary Computed Tomography Angiography
Alexios S. Antonopoulos, Spyridon Simantiris
Current Cardiology Reports (2023) Vol. 25, Iss. 11, pp. 1623-1632
Closed Access | Times Cited: 2
Endocrine activity of dysfunctional adipose tissue: Cardiovascular risk and progression markers
Sonia Eirás, José Ramón González–Juanatey
International Journal of Cardiology (2024) Vol. 401, pp. 131816-131816
Closed Access
Echocardiographic Epicardial Adipose Tissue Quantification: Challenges and Insights
Payel Patra, Andrea Bianchi, Daniele Di Pompeo, et al.
2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) (2024), pp. 619-624
Closed Access
How will coronary physiology, plaque vulnerability and ischemia be integrated in future patient pathways with chest pain?
Richard J. Jabbour, Nick Curzen
Expert Review of Cardiovascular Therapy (2024) Vol. 22, Iss. 4-5, pp. 141-143
Open Access
Use of coronary artery calcium score and coronary CT angiography to guide cardiovascular prevention and treatment
Maria Rita Lima, P Lopes, António M. Ferreira
Therapeutic Advances in Cardiovascular Disease (2024) Vol. 18
Open Access
Adult Medicine—New South Wales, Australian Capital Territory
Henry West, Muhammad Siddique, Lucrezia della Volpe, et al.
Internal Medicine Journal (2024) Vol. 54, Iss. S1, pp. 7-7
Open Access
Characteristics of the epicardial adipose tissue measured by low-dose chest computed tomography according to the metabolic health/obesity status
Bo Da Nam, Soon Hyo Kwon, B H Park, et al.
Obesity Research & Clinical Practice (2024) Vol. 18, Iss. 4, pp. 286-292
Closed Access
Prognostic value of MRI-based cardiac adipose tissue in arrhythmogenic right ventricular cardiomyopathy
L-Y Yu, Jie Xiang, Bai‐Hsiun Chen, et al.
Clinical Radiology (2024)
Closed Access
Chest-CT-based radiomics feature of epicardial adipose tissue for screening coronary atherosclerosis
Wei Qin, Yanling Chen, Ding Yuan, et al.
Heart and Vessels (2024)
Open Access
Prevalence Rates of Abdominal Obesity, High Waist-to-Height Ratio and Excess Adiposity, and Their Associated Cardio-Kidney-Metabolic Factors: SIMETAP-AO Study
Antonio Ruiz‐García, Adalberto Serrano-Cumplido, Carlos Escobar Cervantes, et al.
Nutrients (2024) Vol. 16, Iss. 22, pp. 3948-3948
Open Access
Deep learning for opportunistic, end-to-end automated assessment of epicardial adipose tissue in pre-interventional, ECG-gated spiral computed tomography
Maike Theis, Laura Garajová, Babak Salam, et al.
Insights into Imaging (2024) Vol. 15, Iss. 1
Open Access
Artificial intelligence in cardiac imaging
Borek Foldyna
(2024)
Closed Access
The U-Net Family for Epicardial Adipose Tissue Segmentation and Quantification in Low-Dose CT
Lu Liu, Runlei Ma, Peter M. A. van Ooijen, et al.
Technologies (2023) Vol. 11, Iss. 4, pp. 104-104
Open Access | Times Cited: 1
Artificial Intelligence for Assessment of Epicardial Adipose Tissue on Coronary CT Angiography
Daniel S. Berman, Andrew Lin
JACC. Cardiovascular imaging (2023) Vol. 16, Iss. 6, pp. 817-819
Open Access
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