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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 in atherosclerotic disease: Applications and trends
Polydoros N. Kampaktsis, Maria Emfietzoglou, Aamna Al Shehhi, et al.
Frontiers in Cardiovascular Medicine (2023) Vol. 9
Open Access | Times Cited: 14

Showing 14 citing articles:

A Body Shape Index as a Simple Anthropometric Marker for the Risk of Cardiovascular Events
Farina Mohamad Yusoff, Masato Kajikawa, Takayuki Yamaji, et al.
Current Cardiology Reports (2025) Vol. 27, Iss. 1
Closed Access | Times Cited: 1
Revealing the nature of cardiovascular disease using DERGA, a novel data ensemble refinement greedy algorithm
Panagiotis G. Asteris, Eleni Gavriilaki, Polydoros N. Kampaktsis, et al.
International Journal of Cardiology (2024) Vol. 412, pp. 132339-132339
Closed Access | Times Cited: 6
Advances in the treatment of atherosclerotic plaque based on nanomaterials
Pengyu Wang, Weiwei Chen, Jingfeng Zhang, et al.
Nanomedicine (2025), pp. 1-13
Closed Access
Advances in the Application of Artificial Intelligence in the Ultrasound Diagnosis of Vulnerable Carotid Atherosclerotic Plaque
Dandan Wang, Shu Lin, Guorong Lyu
Ultrasound in Medicine & Biology (2025)
Open Access
The Heart of Transformation: Exploring Artificial Intelligence in Cardiovascular Disease
Mohammed Andaleeb Chowdhury, Rodrigue Rizk, J. Christine Chiu, et al.
Biomedicines (2025) Vol. 13, Iss. 2, pp. 427-427
Open Access
Artificial Intelligence in Cardiovascular Disease Prevention: Is it Ready for Prime Time?
Shyon Parsa, Sulaiman Somani, Ramzi Dudum, et al.
Current Atherosclerosis Reports (2024) Vol. 26, Iss. 7, pp. 263-272
Closed Access | Times Cited: 3
Familial hypercholesterolemia in children and the importance of early treatment
Sibbeliene E. van den Bosch, Barbara A. Hutten, Willemijn E. Corpeleijn, et al.
Current Opinion in Lipidology (2024) Vol. 35, Iss. 3, pp. 126-132
Open Access | Times Cited: 1
Artificial Intelligence in Cardiology and Atherosclerosis in the Context of Precision Medicine: A Scoping Review
Oliwia Kolaszyńska, Jacek Lorkowski
Applied Bionics and Biomechanics (2024) Vol. 2024, pp. 1-17
Open Access | Times Cited: 1
An attention‐based deep learning method for right ventricular quantification using 2D echocardiography: Feasibility and accuracy
Polydoros N. Kampaktsis, Tuan A. Bohoran, Mark Lebehn, et al.
Echocardiography (2023) Vol. 41, Iss. 1
Open Access | Times Cited: 3
Towards deep learning methods for quantification of the right ventricle using 2D echocardiography
Polydoros N. Kampaktsis, Serafeim Moustakidis, Gerasimos Siasos, et al.
Future Cardiology (2024), pp. 1-3
Closed Access
Machine learning applications for vascular stenosis detection in computed tomography angiography: a systematic review and meta-analysis
Ali M. O. A. Anwer, Hacer Karacan, Levent Enver, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 29, pp. 17767-17786
Open Access
Artificial intelligence/machine learning algorhythms in cardiovascular diseases
Can Ramazan Öncel, Ahmet Aslan
Acta Medica Alanya (2024) Vol. 8, Iss. 2, pp. 91-92
Open Access
Impact of Guideline-Directed Statin Prescriptions on Cardiovascular Outcomes by Race in a Real-World Primary Prevention Cohort
Eli J Hay, Jianhui Zhu, Floyd Thoma, et al.
JACC Advances (2024) Vol. 3, Iss. 10, pp. 101231-101231
Open Access
The Role of Artificial Intelligence in Vascular Care
Nehaar Nimmagadda, Edouard Aboian, Sharon C. Kiang, et al.
JVS-Vascular Insights (2024), pp. 100179-100179
Open Access
Tailored risk assessment and forecasting in intermittent claudication
Bharadhwaj Ravindhran, Jonathon Prosser, Arthur Lim, et al.
BJS Open (2023) Vol. 8, Iss. 1
Open Access | Times Cited: 1
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