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1563

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239

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228

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Sep 28, 2024 (publication date) through May 23, 2025

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Times Cited (7)

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Publication Name

World Journal of Gastroenterology

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1007-9327

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

Cited by in CrossRef

For:	Peng YJ, Liu X, Liu Y, Tang X, Zhao QP, Du Y. Computed tomography-based multi-organ radiomics nomogram model for predicting the risk of esophagogastric variceal bleeding in cirrhosis. World J Gastroenterol 2024; 30(36): 4044-4056 [PMID: 39351251 DOI: 10.3748/wjg.v30.i36.4044]
URL:	https://www.wjgnet.com/1007-9327/full/v30/i36/4044.htm

Number	Citing Articles
1	Sahib Singh, Saurabh Chandan, Rakesh Vinayek, Ganesh Aswath, Antonio Facciorusso, Marcello Maida. Comprehensive approach to esophageal variceal bleeding: From prevention to treatment. World Journal of Gastroenterology 2024; 30(43): 4602-4608 doi: 10.3748/wjg.v30.i43.4602 Abstract(394) \| Core Tip(352) \| Full Article(HTML)(2723) \| Full Article with Cover (PDF)-747K(87) \| Audio-652K(2) \| Peer-Review Report-177K(56) \| Answering Reviewers-74K(50) \| Full Article (PDF)-394K(294) \| Full Article (XML)-138K(70) \| Times Cited (3) \| Total Visits (4891) \| Open
2	Carlos Moctezuma-Velazquez, Juan G. Abraldes. Future of Endoscopy in Surveillance of Esophageal Varices. Current Gastroenterology Reports 2025; 27(1) doi: 10.1007/s11894-025-00976-6
3	Minh Huu Nhat Le, Hien Quang Kha, Nghia Minh Tran, Phat Ky Nguyen, Han H. Huynh, Phat Kim Huynh, Han Lam, Nguyen Quoc Khanh Le. Radiomics in liver research: A paradigm shift in disease detection and staging. European Journal of Radiology Artificial Intelligence 2025; 2: 100016 doi: 10.1016/j.ejrai.2025.100016
4	Arunkumar Krishnan. Improving radiomics-based models for esophagogastric variceal bleeding risk prediction in cirrhotic patients. World Journal of Gastroenterology 2025; 31(11): 101804 doi: 10.3748/wjg.v31.i11.101804 Abstract(160) \| Core Tip(163) \| Full Article(HTML)(617) \| Full Article with Cover (PDF)-614K(28) \| Audio-1787K(5) \| Peer-Review Report-281K(24) \| Answering Reviewers-93K(21) \| Full Article (PDF)-361K(46) \| Full Article (XML)-39K(27) \| Times Cited (0) \| Total Visits (1299) \| Open
5	Naoshi Nishida. Advancements in Artificial Intelligence-Enhanced Imaging Diagnostics for the Management of Liver Disease—Applications and Challenges in Personalized Care. Bioengineering 2024; 11(12): 1243 doi: 10.3390/bioengineering11121243
6	Jin Peng, Huiru Jin, Ningxin Zhang, Shiqiu Zheng, Chengxiao Yu, Jianzhong Yu, Longfeng Jiang. Development and evaluation of a predictive model of upper gastrointestinal bleeding in liver cirrhosis. BMC Gastroenterology 2025; 25(1) doi: 10.1186/s12876-025-03677-6
7	Yong Chen, Yueyu Shen, Xiaohan Wang. Artificial Intelligence in Managing Liver Cirrhosis and Variceal Bleeding: A Review. Hepatitis Monthly 2025; 25(1) doi: 10.5812/hepatmon-160500