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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:

Time and event-specific deep learning for personalized risk assessment after cardiac perfusion imaging
Konrad Pieszko, Aakash Shanbhag, Ananya Singh, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 17

Showing 17 citing articles:

Artificial Intelligence in Nuclear Cardiology: An Update and Future Trends
Robert J.H. Miller, Piotr J. Slomka
Seminars in Nuclear Medicine (2024) Vol. 54, Iss. 5, pp. 648-657
Closed Access | Times Cited: 9
Machine-learning versus traditional methods for prediction of all-cause mortality after transcatheter aortic valve implantation: a systematic review and meta-analysis
Ammar Zaka, Cecil Mustafiz, Daud Mutahar, et al.
Open Heart (2025) Vol. 12, Iss. 1, pp. e002779-e002779
Open Access | Times Cited: 1
Advancements in Artificial Intelligence in Noninvasive Cardiac Imaging: A Comprehensive Review
Oluwaremilekun Tolu-Akinnawo, Francis Ezekwueme, Olukunle Omolayo, et al.
Clinical Cardiology (2025) Vol. 48, Iss. 1
Open Access | Times Cited: 1
A review of evaluation approaches for explainable AI with applications in cardiology
Ahmed Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 9
Open Access | Times Cited: 6
Challenges for augmenting intelligence in cardiac imaging
Partho P. Sengupta, Damini Dey, Rhodri Davies, et al.
The Lancet Digital Health (2024) Vol. 6, Iss. 10, pp. e739-e748
Open Access | Times Cited: 4
Machine-learning approaches for risk prediction after percutaneous coronary intervention: a systematic review and meta-analysis
Ammar Zaka, Daud Mutahar, James Gorcilov, et al.
European Heart Journal - Digital Health (2024) Vol. 6, Iss. 1, pp. 23-44
Open Access | Times Cited: 4
From Marginal Gains to Clinical Utility: Machine Learning-Based Percutaneous Coronary Intervention Risk Prediction Models
Muhammad Ibtsaam Qadir, Ravi S. Hira, Fiona R. Kolbinger
European Heart Journal - Digital Health (2025)
Open Access
Adaptive transformer modelling of density function for nonparametric survival analysis
Xin Zhang, Deval Mehta, Yanan Hu, et al.
Machine Learning (2025) Vol. 114, Iss. 2
Open Access
Artificial Intelligence in Ischemic Heart Disease Prevention
Shyon Parsa, Priyansh Shah, RC Doijad, et al.
Current Cardiology Reports (2025) Vol. 27, Iss. 1
Closed Access
Prognostic Time Frame of Plaque and Hemodynamic Characteristics and Integrative Risk Prediction for Acute Coronary Syndrome
Seokhun Yang, Jae Wook Jung, Sang‐Hyeon Park, et al.
JACC. Cardiovascular imaging (2025)
Closed Access
The Updated Registry of Fast Myocardial Perfusion Imaging with Next-Generation SPECT (REFINE SPECT 2.0)
Robert J.H. Miller, Mark A. Lemley, Aakash Shanbhag, et al.
Journal of Nuclear Medicine (2024), pp. jnumed.124.268292-jnumed.124.268292
Closed Access | Times Cited: 3
Explainable deep learning-based ischemia detection using hybrid O-15 H2O perfusion PET/CT imaging and clinical data
Jarmo Teuho, Jussi Schultz, Riku Klén, et al.
Journal of Nuclear Cardiology (2024) Vol. 38, pp. 101889-101889
Open Access | Times Cited: 2
The Role of Deep Learning in Myocardial Perfusion Imaging for Diagnosis and Prognosis: A Systematic Review
Xueping Hu, Han Zhang, Federico Caobelli, et al.
iScience (2024) Vol. 27, Iss. 12, pp. 111374-111374
Open Access | Times Cited: 1
Hybridizing machine learning in survival analysis of cardiac PET/CT imaging
Luis Eduardo Juárez‐Orozco, Mikael Niemi, Ming Wai Yeung, et al.
Journal of Nuclear Cardiology (2023) Vol. 30, Iss. 6, pp. 2750-2759
Open Access | Times Cited: 3
A Review of Evaluation Approaches for Explainable AI With Applications in Cardiology
Ahmed Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra, et al.
(2023)
Open Access | Times Cited: 1
Current status and future directions in artificial intelligence for nuclear cardiology
Robert J H Miller, Piotr J. Slomka
Expert Review of Cardiovascular Therapy (2024) Vol. 22, Iss. 8, pp. 367-378
Closed Access
A Review of Evaluation Approaches for Explainable AI With Applications in Cardiology
Ahmed Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra, et al.
(2023)
Open Access
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