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Item

Count

PDF

HTML

765

Figures (1-8)

154

Tables (1-1)

166

Sum=1143

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209

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May 15, 2025 (publication date) through Jul 18, 2025

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World Journal of Gastrointestinal Oncology

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1948-5204

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

Cited by in CrossRef

For:	Zhu ZW, Wu J, Guo Y, Ren QY, Li DN, Li ZY, Han L. Prediction of Ki-67 expression in hepatocellular carcinoma with machine learning models based on intratumoral and peritumoral radiomic features. World J Gastrointest Oncol 2025; 17(5): 104172 [PMID: 40487953 DOI: 10.4251/wjgo.v17.i5.104172]
URL:	https://www.wjgnet.com/1948-5204/full/v17/i5/104172.htm

Number	Citing Articles
1	Na Feng, Kun Wang, Yan Jiao. Integrating radiomics and machine learning for the diagnosis and prognosis of hepatocellular carcinoma. World Journal of Gastrointestinal Oncology 2025; 17(7): 106610 doi: 10.4251/wjgo.v17.i7.106610 Abstract(43) \| Core Tip(24) \| Full Article(HTML)(89) \| Full Article with Cover (PDF)-679K(8) \| Audio-769K(3) \| Peer-Review Report-182K(5) \| Answering Reviewers-159K(4) \| Full Article (PDF)-368K(13) \| Full Article (XML)-41K(3) \| Times Cited (0) \| Total Visits (266) \| Open

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Citing Articles

Na Feng, Kun Wang, Yan Jiao. Integrating radiomics and machine learning for the diagnosis and prognosis of hepatocellular carcinoma. World Journal of Gastrointestinal Oncology 2025; 17(7): 106610 doi: 10.4251/wjgo.v17.i7.106610