Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Explainable Artificial Intelligence and Cardiac Imaging: Toward More Interpretable Models
Ahmed Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra, et al.
Circulation Cardiovascular Imaging (2023) Vol. 16, Iss. 4
Open Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

The Promise of Explainable AI in Digital Health for Precision Medicine: A Systematic Review
Ben Allen
Journal of Personalized Medicine (2024) Vol. 14, Iss. 3, pp. 277-277
Open Access | Times Cited: 18
Present and Future Innovations in AI and Cardiac MRI
Manuel A. Morales, Warren J. Manning, Reza Nezafat
Radiology (2024) Vol. 310, Iss. 1
Closed Access | Times Cited: 17
Reviewing methods of deep learning for intelligent healthcare systems in genomics and biomedicine
Imran Zafar, Shakila Anwar, Faheem kanwal, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105263-105263
Closed Access | Times Cited: 31
A radiomics-based interpretable model to predict the pathological grade of pancreatic neuroendocrine tumors
Jing‐Yuan Ye, Fang Peng, Zhenpeng Peng, et al.
European Radiology (2023) Vol. 34, Iss. 3, pp. 1994-2005
Open Access | Times Cited: 28
Explainability, transparency and black box challenges of AI in radiology: impact on patient care in cardiovascular radiology
Ahmed Marey, Parisa Arjmand, Ameerh Dana Sabe Alerab, et al.
The Egyptian Journal of Radiology and Nuclear Medicine (2024) Vol. 55, Iss. 1
Open Access | Times Cited: 12
الدور الوسيط للذكاء الاصطناعي القابل للتفسير في العلاقة بين حوكمة البيانات والأداء المؤسسي
مديح ناير الجداوي
المجلة العربية للعلوم الإدارية. (2024) Vol. 30, Iss. 1, pp. 67-13
Open Access | Times Cited: 11
Advances in the Application of Artificial Intelligence in Fetal Echocardiography
Junmin Zhang, Sushan Xiao, Ye Zhu, et al.
Journal of the American Society of Echocardiography (2024) Vol. 37, Iss. 5, pp. 550-561
Open Access | Times Cited: 8
Improving the efficiency and accuracy of cardiovascular magnetic resonance with artificial intelligence—review of evidence and proposition of a roadmap to clinical translation
Qiang Zhang, Anastasia Fotaki, Sona Ghadimi, et al.
Journal of Cardiovascular Magnetic Resonance (2024) Vol. 26, Iss. 2, pp. 101051-101051
Open Access | Times Cited: 8
Diagnosing Solid Lesions in the Pancreas With Multimodal Artificial Intelligence
Haochen Cui, Yuchong Zhao, Si Xiong, et al.
JAMA Network Open (2024) Vol. 7, Iss. 7, pp. e2422454-e2422454
Open Access | Times Cited: 7
Prognostic potentials of AI in ophthalmology: systemic disease forecasting via retinal imaging
Yong Yu Tan, Hyun Goo Kang, Chan Joo Lee, et al.
Eye and Vision (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 6
Artificial Intelligence Applications in Cardio-Oncology: A Comprehensive Review
Avirup Guha, Viraj Shah, Tarek Nahle, et al.
Current Cardiology Reports (2025) Vol. 27, Iss. 1
Closed Access
Fetal diagnosis
Donna A. Goff
Elsevier eBooks (2025), pp. 83-98
Closed Access
Perfect Match: Radiomics and Artificial Intelligence in Cardiac Imaging
Bettina Baeßler, Sandy Engelhardt, Amar Hekalo, et al.
Circulation Cardiovascular Imaging (2024) Vol. 17, Iss. 6
Closed Access | Times Cited: 4
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: 4
Is human-like decision making explainable? Towards an explainable artificial intelligence for autonomous vehicles
Jiming Xie, Yan Zhang, Yaqin Qin, et al.
Transportation Research Interdisciplinary Perspectives (2025) Vol. 29, pp. 101278-101278
Open Access
Advancing Sports Cardiology: Integrating Artificial Intelligence with Wearable Devices for Cardiovascular Health Management
Xiao Zheng, Zheng Liu, Jianyu Liu, et al.
ACS Applied Materials & Interfaces (2025)
Closed Access
Advances in Artificial Intelligence-Assisted Coronary Computed Tomographic Angiography for Atherosclerotic Plaque Characterization
Qian Chen, Fan Zhou, Guanghui Xie, et al.
Reviews in Cardiovascular Medicine (2024) Vol. 25, Iss. 1, pp. 27-27
Open Access | Times Cited: 2
Explaining decisions of a light-weight deep neural network for real-time coronary artery disease classification in magnetic resonance imaging
Talha Iqbal, Aaleen Khalid, Ihsan Ullah
Journal of Real-Time Image Processing (2024) Vol. 21, Iss. 2
Open Access | Times Cited: 2
Artificial intelligence: illuminating the depths of the tumor microenvironment
Ting Xie, Aoling Huang, Honglin Yan, et al.
Journal of Translational Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 2
Machine learning-based risk prediction of hypoxemia for outpatients undergoing sedation colonoscopy: a practical clinical tool
Wei Lu, Yulan Tong, X. Zhao, et al.
Postgraduate Medicine (2024) Vol. 136, Iss. 1, pp. 84-94
Closed Access | Times Cited: 1
A deep learning solution to detect left ventricular structural abnormalities with chest X-rays: towards trustworthy AI in cardiology
Karim Lekadir
European Heart Journal (2024) Vol. 45, Iss. 22, pp. 2013-2015
Open Access | Times Cited: 1
MiMICRI: Towards Domain-centered Counterfactual Explanations of Cardiovascular Image Classification Models
Grace Guo, Lifu Deng, Animesh Tandon, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2024), pp. 1861-1874
Open Access | Times Cited: 1
Towards explainability in artificial intelligence frameworks for heartcare: A comprehensive survey
M. U. Sreeja, Abin Oommen Philip, M. H. Supriya
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 6, pp. 102096-102096
Open Access | Times Cited: 1
A Machine Learning Model for Predicting In-Hospital Mortality in Chinese Patients With ST-Segment Elevation Myocardial Infarction: Findings From the China Myocardial Infarction Registry
Jingang Yang, Yingxue Li, Xiang Li, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e50067-e50067
Open Access | Times Cited: 1
The state of play in tools for predicting immunoglobulin resistance in Kawasaki disease
Mindy Ming‐Huey Guo, Ho‐Chang Kuo
Expert Review of Clinical Immunology (2023) Vol. 19, Iss. 10, pp. 1273-1279
Closed Access | Times Cited: 3
Page 1 - Next Page

Scroll to top