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205

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Dec 28, 2025 (publication date) through May 1, 2026

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World Journal of Radiology

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1949-8470

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Cited by in CrossRef

For:	Shi Y, Zhang P, Li L, Yang HM, Li ZM, Zheng J, Yang L. Interpretable model based on multisequence magnetic resonance imaging radiomics for predicting the pathological grades of hepatocellular carcinomas. World J Radiol 2025; 17(12): 112911 [PMID: 41480292 DOI: 10.4329/wjr.v17.i12.112911]
URL:	https://www.wjgnet.com/1007-9327/full/v17/i12/112911.htm

Number	Citing Articles
1	Xiao-Ming Zhang, Lin Yang, Hao Xu, Xu-Li Min, Yue Shi, Mao-Ting Zhou, Peng Zhang, Qi Mao. Interpretable radiomics model based on magnetic resonance imaging to predict responses to transarterial chemoembolization for hepatocellular carcinoma. World Journal of Radiology 2026; 18(2): 116486 doi: 10.4329/wjr.v18.i2.116486 Abstract(30) \| Core Tip(27) \| Full Article(HTML)(124) \| Full Article with Cover (PDF)-3829K(12) \| Audio-1607K(1) \| Peer-Review Report-216K(12) \| Answering Reviewers-214K(12) \| Full Article (PDF)-3571K(24) \| Full Article (XML)-136K(11) \| Times Cited (0) \| Total Visits (1038) \| Open

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Citing Articles

Xiao-Ming Zhang, Lin Yang, Hao Xu, Xu-Li Min, Yue Shi, Mao-Ting Zhou, Peng Zhang, Qi Mao. Interpretable radiomics model based on magnetic resonance imaging to predict responses to transarterial chemoembolization for hepatocellular carcinoma. World Journal of Radiology 2026; 18(2): 116486 doi: 10.4329/wjr.v18.i2.116486