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The chart showing PDF series, WORD series, HTML series, Figures (1-3) series, Tables (1-2) series.

Item

Count

PDF

195

WORD

HTML

2430

Figures (1-3)

456

Tables (1-2)

344

Sum=3490

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Item

Count

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320

Download

910

Sum=1230

Aug 26, 2022 (publication date) through Apr 15, 2025

Times Cited of This Article

Times Cited (3)

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Publication Name

World Journal of Clinical Cases

ISSN

2307-8960

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

Cited by in CrossRef

For:	Yuan M, Chen TY, Chen XR, Lu YF, Shi J, Zhang WS, Ye C, Tang BZ, Yang ZG. Identification of predictive factors for post-transarterial chemoembolization liver failure in hepatocellular carcinoma patients: A retrospective study. World J Clin Cases 2022; 10(24): 8535-8546 [PMID: 36157824 DOI: 10.12998/wjcc.v10.i24.8535]
URL:	https://www.wjgnet.com/2307-8960/full/v10/i24/8535.htm

Number	Citing Articles
1	Qing-Long Guan, Hai-Xiao Zhang, Jun-Peng Gu, Geng-Fei Cao, Wei-Xin Ren. Omics-imaging signature-based nomogram to predict the progression-free survival of patients with hepatocellular carcinoma after transcatheter arterial chemoembolization. World Journal of Clinical Cases 2024; 12(18): 3340-3350 doi: 10.12998/wjcc.v12.i18.3340 Abstract(376) \| Core Tip(308) \| Full Article(HTML)(1098) \| Full Article with Cover (PDF)-7123K(54) \| Audio-178K(2) \| Peer-Review Report-219K(36) \| Answering Reviewers-113K(39) \| Full Article (PDF)-5637K(61) \| Full Article (XML)-88K(48) \| Times Cited (0) \| Total Visits (3394) \| Open
2	Shuai Li, Kaicai Liu, Chang Rong, Xiaoming Zheng, Bo Cao, Wei Guo, Xingwang Wu. Deep Learning-Based Automatic Segmentation Combined with Radiomics to Predict Post-TACE Liver Failure in HCC Patients. Journal of Hepatocellular Carcinoma 2024; : 2471 doi: 10.2147/JHC.S499436
3	Xinru Wu, Yihuan Wang, Yiwei He, Yongbo Yang. Development and Validation of a Predictive Model for Liver Failure After Transarterial Chemoembolization Using Gadoxetic Acid-Enhanced MRI and Functional Liver Imaging Score. Academic Radiology 2025; doi: 10.1016/j.acra.2024.12.068