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:

Predictability of the radiological response to Yttrium-90 transarterial radioembolization by dynamic magnetic resonance imaging-based radiomics analysis in patients with intrahepatic cholangiocarcinoma
Hüseyin Tuğsan Ballı, Ferhat Can Pişkin, Sevinç Püren Yücel, et al.
Diagnostic and Interventional Radiology (2023) Vol. 30, Iss. 3, pp. 193-199
Open Access | Times Cited: 5

Showing 5 citing articles:

The widening gap between radiomics research and clinical translation: rethinking current practices and shared responsibilities
Burak Koçak, Daniel Pinto dos Santos, Matthias Dietzel
(2025), pp. 100004-100004
Open Access | Times Cited: 3

Radiomics Features Extracted From Pre- and Postprocedural Imaging in Early Prediction of Treatment Response in Patients Undergoing Transarterial Radioembolization of Hepatic Lesions: A Systematic Review, Meta-Analysis, and Quality Appraisal Study
Mohammad Mirza‐Aghazadeh‐Attari, Tara Srinivas, Arun Kamireddy, et al.
Journal of the American College of Radiology (2024) Vol. 21, Iss. 5, pp. 740-751
Closed Access | Times Cited: 5

Systematic Review: AI Applications in Liver Imaging with a Focus on Segmentation and Detection
Mihai Pomohaci, Mugur Grasu, Alexandru-Ştefan Băicoianu-Nițescu, et al.
Life (2025) Vol. 15, Iss. 2, pp. 258-258
Open Access

Research progress on machine algorithm prediction of liver cancer prognosis after intervention therapy
Feng Guo, Hao Hu, Hao Peng, et al.
American Journal of Cancer Research (2024) Vol. 14, Iss. 9, pp. 4580-4596
Closed Access

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