World Journal of Gastroenterology - Baishideng Publishing Group

BPG is committed to discovery and dissemination of knowledge

Cited by in CrossRef

For:	Wang D, Zhang JY, Xie Y, Zhang KN, Jiang WT. Interpretable machine learning model for early complication prediction after split liver transplantation. World J Gastroenterol 2025; 31(47): 114370 [PMID: 41479751 DOI: 10.3748/wjg.v31.i47.114370]
URL:	https://www.wjgnet.com/1007-9327/full/v31/i47/114370.htm

(32) (30) (0) (0) (0) (3) (2) (617) (1)

Number	Citing Articles
1	Salvatore S Sciarrone, Milena Di Leo, Lucia Fini, Alessandra Losco, Luca De Luca. Letter to the Editor: Splitting the risk: Interpretable machine learning enters the era of split liver transplantation. World Journal of Gastroenterology 2026; 32(22): 116533 doi: 10.3748/wjg.v32.i22.116533 Abstract(11) \| Core Tip(11) \| Full Article(HTML)(44) \| Full Article (PDF)-372K(6) \| Full Article with Cover (PDF)-751K(3) \| Full Article (XML)-49K(2) \| Audio-1157K(2) \| Peer-Review Report-152K(5) \| Answering Reviewers-28K(5) \| Times Cited (0) \| Total Visits (55) \| Open

Number

Citing Articles

Salvatore S Sciarrone, Milena Di Leo, Lucia Fini, Alessandra Losco, Luca De Luca. Letter to the Editor: Splitting the risk: Interpretable machine learning enters the era of split liver transplantation. World Journal of Gastroenterology 2026; 32(22): 116533 doi: 10.3748/wjg.v32.i22.116533

All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.