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:

Showing 11 citing articles:

Applications, challenges and future directions of artificial intelligence in cardio‐oncology
Francesco Ravera, Nicolò Gilardi, Alberto Ballestrero, et al.
European Journal of Clinical Investigation (2025) Vol. 55, Iss. S1
Open Access | Times Cited: 1
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
A scoping review of web-based, interactive, personalized decision-making tools available to support breast cancer treatment and survivorship care
Kaitlyn M. Wojcik, Dalya Kamil, Julia Zhang, et al.
Journal of Cancer Survivorship (2024)
Open Access | Times Cited: 3
Artificial intelligence: Applications in cardio-oncology and potential impact on racial disparities
Gift Echefu, Rushabh Shah, Zanele Sanchez, et al.
American Heart Journal Plus Cardiology Research and Practice (2024) Vol. 48, pp. 100479-100479
Open Access | Times Cited: 3
Multimedia Mixed Reality Interactive Shared Decision-Making Game in Children with Moderate to Severe Atopic Dermatitis, a Pilot Study
Ling‐Sai Chang, Ho‐Chang Kuo, Jason Jyh-Bin Suen, et al.
Children (2023) Vol. 10, Iss. 3, pp. 574-574
Open Access | Times Cited: 8
Can Machine Learning Overcome the 95% Failure Rate and Reality that Only 30% of Approved Cancer Drugs Meaningfully Extend Patient Survival?
Duxin Sun, Christian Macedonia, Zhigang Chen, et al.
Journal of Medicinal Chemistry (2024)
Closed Access | Times Cited: 2
The Digital Revolution in Medicine: Applications in Cardio-Oncology
Gift Echefu, Ladislav Baťalík, Abdulkareem Lukan, et al.
Current Treatment Options in Cardiovascular Medicine (2024) Vol. 27, Iss. 1
Closed Access | Times Cited: 2
The role of artificial intelligence and machine learning in clinical trials
Diego Alejandro Dri, Maurizio Massella, Maria Carafa, et al.
Elsevier eBooks (2024), pp. 205-234
Closed Access
Using machine learning in pediatric cardio-oncology: we have the questions, we need the answers
Thomas D. Ryan, Jose Carlos Villalobos Lizardi
Cardio-Oncology (2024) Vol. 10, Iss. 1
Open Access
Identifications of similarity metrics for cancer patients: Protocol for a Scoping Review (Preprint)
Iryna Manuilova, Jan Bossenz, Annemarie Bianka Weise, et al.
JMIR Research Protocols (2024) Vol. 13, pp. e58705-e58705
Open Access
Unsupervised machine learning identifies distinct phenotypes in cardiac complications of pediatric patients treated with anthracyclines
Xander Jacquemyn, Bhargava Chinni, Benjamin Barnes, et al.
Cardio-Oncology (2024) Vol. 10, Iss. 1
Open Access
Page 1

Scroll to top