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–Enhanced Risk Stratification of Cancer Therapeutics–Related Cardiac Dysfunction Using Electrocardiographic Images
Evangelos K. Oikonomou, Veer Sangha, Lovedeep Singh Dhingra, et al.
Circulation Cardiovascular Quality and Outcomes (2024) Vol. 18, Iss. 1
Closed Access | Times Cited: 6

Showing 6 citing articles:

Transforming Cardiovascular Care With Artificial Intelligence: From Discovery to Practice
Rohan Khera, Evangelos K. Oikonomou, Girish N. Nadkarni, et al.
Journal of the American College of Cardiology (2024) Vol. 84, Iss. 1, pp. 97-114
Closed Access | Times Cited: 36

Heart failure risk stratification using artificial intelligence applied to electrocardiogram images: a multinational study
Lovedeep Singh Dhingra, Arya Aminorroaya, Veer Sangha, et al.
European Heart Journal (2025)
Closed Access | Times Cited: 1

Artificial Intelligence to Enhance Precision Medicine in Cardio-Oncology: A Scientific Statement From the American Heart Association
Rohan Khera, Aarti Asnani, Jacob Krive, et al.
Circulation Genomic and Precision Medicine (2025)
Closed Access

Cancer-Therapy-Related Cardiac Dysfunction: Latest Advances in Prevention and Treatment
Carla Contaldi, Carmine D’Aniello, Domenico Panico, et al.
Life (2025) Vol. 15, Iss. 3, pp. 471-471
Open Access

AI and Smart Devices in Cardio-Oncology: Advancements in Cardiotoxicity Prediction and Cardiovascular Monitoring
Luiza Nechita, Dana Tutunaru, Aurel Nechita, et al.
Diagnostics (2025) Vol. 15, Iss. 6, pp. 787-787
Open Access

AI-Enhanced ECG Applications in Cardiology: Comprehensive Insights from the Current Literature with a Focus on COVID-19 and Multiple Cardiovascular Conditions
Luiza Nechita, Aurel Nechita, Andreea Elena Voipan, et al.
Diagnostics (2024) Vol. 14, Iss. 17, pp. 1839-1839
Open Access | Times Cited: 3

Expanding artificial intelligence to understudied populations: congenital heart disease as the next frontier
Evangelos K. Oikonomou, Rohan Khera
European Heart Journal (2024)
Closed Access | Times Cited: 1

Using Artificial Intelligence to Predict Heart Failure Risk from Single-lead Electrocardiographic Signals: A Multinational Assessment
Lovedeep Singh Dhingra, Arya Aminorroaya, Aline Pedroso Camargos, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

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