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 cardiovascular imaging: enhancing image analysis and risk stratification
Andrew Lin, Konrad Pieszko, Caroline Park, et al.
BJR|Open (2023) Vol. 5, Iss. 1
Open Access | Times Cited: 14

Showing 14 citing articles:

Artificial Intelligence in Heart Failure: Friend or Foe?
Angeliki Bourazana, Αndrew Xanthopoulos, Αlexandros Briasoulis, et al.
Life (2024) Vol. 14, Iss. 1, pp. 145-145
Open Access | Times Cited: 15

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: 12

Emergence of Artificial Intelligence and Machine Learning Models in Sudden Cardiac Arrest: A Comprehensive Review of Predictive Performance and Clinical Decision Support
Hritvik Jain, Mohammed Dheyaa Marsool Marsool, Ramez M. Odat, et al.
Cardiology in Review (2024)
Closed Access | Times Cited: 5

Presentation of the series ‘Advances in cardiac imaging’
Blanca Domènech-Ximenos, G. Bastarrika
Radiología (English Edition) (2025) Vol. 67, Iss. 1, pp. 99-100
Closed Access

Bibliometric analysis of artificial intelligence applications in cardiovascular imaging: trends, impact, and emerging research areas
Abdulhadi Alotaibi, Rafael Contreras, Nisarg Thakker, et al.
Annals of Medicine and Surgery (2025) Vol. 87, Iss. 4, pp. 1947-1968
Open Access

Artificial Intelligence in Nuclear Cardiac Imaging: Novel Advances, Emerging Techniques, and Recent Clinical Trials
Ilana Golub, Abhinav Thummala, Tyler Morad, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 6, pp. 2095-2095
Open Access

Artificial intelligence-derived left ventricular strain in echocardiography in patients treated with chemotherapy
Asuka Kuwahara, Yoichi Iwasaki, Masatake Kobayashi, et al.
The International Journal of Cardiovascular Imaging (2024) Vol. 40, Iss. 9, pp. 1903-1910
Open Access | Times Cited: 3

Echocardiographic Phenotypes of Subclinical Organ Damage: Clinical and Prognostic Value in the General Population. Findings from the Pamela Study
Cesare Cuspidi, Andrea Faggiano, Giuseppe Mancia, et al.
High Blood Pressure & Cardiovascular Prevention (2023) Vol. 30, Iss. 6, pp. 497-511
Closed Access | Times Cited: 4

Training and assessing convolutional neural network performance in automatic vascular segmentation using Ga-68 DOTATATE PET/CT
Rodney Parry, K. Wright, J. Bellinge, et al.
The International Journal of Cardiovascular Imaging (2024) Vol. 40, Iss. 9, pp. 1847-1861
Open Access

Classification of Cardiovascular Diseases from Magnetic Resonance Imaging using Classifiers
M. Sowmiya, Banu Rekha B, S Dheepak, et al.
(2024), pp. 528-533
Closed Access

An Unsupervised Deep Learning Framework for Retrospective Gating of Catheter-Based Cardiac Imaging
Sun Zheng, Yue Yao, Ru Wang
IET Signal Processing (2024) Vol. 2024, pp. 1-20
Open Access

Presentación de la serie «Avances en imagen cardíaca»
Blanca Domènech-Ximenos, G. Bastarrika
Radiología (2024)
Closed Access

Principal Component Analysis and Machine Learning in Heart Disease Diagnosis: A Focus on Heart SPECT Parameter Reduction
Nichapa Srisaranon, Panpatchanan Yimluean, Supisara Bawornwongsatien, et al.
(2023), pp. 1-5
Closed Access

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