World Journal of Hepatology - Baishideng Publishing Group

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Cited by in CrossRef

For:	Zuo XY, Liu HF. Biparametric magnetic resonance imaging-based radiomic and deep learning models for predicting Ki-67 risk stratification in hepatocellular carcinoma. World J Hepatol 2025; 17(8): 109530 [PMID: 40901605 DOI: 10.4254/wjh.v17.i8.109530]
URL:	https://www.wjgnet.com/1948-5182/full/v17/i8/109530.htm

Number	Citing Articles
1	Haibo Huang, Jie Yang, Yingdan Zhang, Xianpan Pan, Lei Chen, Yingying Huang, Xiaocheng Wang, Wei Lu, Zehe Huang, Ke Ding. Predictive Efficacy of a Combined Triphasic CT Radiomics and Clinical Feature Model for Ki-67 Expression in Hepatocellular Carcinoma. Journal of Hepatocellular Carcinoma 2026; doi: 10.2147/JHC.S605592
2	Shi-Qiong Zhou, Qing-Hua Ke. Advancing precision in hepatocellular carcinoma prognostication: The promise of biparametric magnetic resonance imaging-based multimodal models. World Journal of Hepatology 2025; 17(10): 112078 doi: 10.4254/wjh.v17.i10.112078 Abstract(121) \| Core Tip(107) \| Full Article(HTML)(394) \| Full Article (PDF)-339K(58) \| Full Article with Cover (PDF)-652K(98) \| Full Article (XML)-25K(51) \| Audio-12865K(10) \| Peer-Review Report-210K(45) \| Answering Reviewers-105K(67) \| Times Cited (0) \| Total Visits (601) \| Open
3	Hai-Bo Huang, Ying-Dan Zhang, Jie Yang, Ying-Ying Huang, Li-Feng Huang, Shuang-Yue Wang, Wei Lu, Ze-He Huang, Ke Ding. Pathological characteristics of hepatocellular carcinoma: A dual-center correlation analysis and validation. World Journal of Gastrointestinal Oncology 2026; 18(9): 119082 doi: 10.4251/wjgo.119082 Abstract(48) \| Core Tip(55) \| Full Article(HTML)(100) \| Full Article (PDF)-972K(14) \| Full Article with Cover (PDF)-1236K(12) \| Full Article (XML)-89K(13) \| Audio-541K(0) \| Peer-Review Report-262K(23) \| Answering Reviewers-126K(26) \| Times Cited (0) \| Total Visits (217) \| Open