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Item

Count

PDF

195

HTML

2070

Figures (1-7)

367

Tables (1-3)

368

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Item

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118

Download

648

Sum=766

Mar 7, 2025 (publication date) through Jan 16, 2026

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Publication Name

World Journal of Gastroenterology

ISSN

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:	Xiong FX, Sun L, Zhang XJ, Chen JL, Zhou Y, Ji XM, Meng PP, Wu T, Wang XB, Hou YX. Machine learning-based models for advanced fibrosis in non-alcoholic steatohepatitis patients: A cohort study. World J Gastroenterol 2025; 31(9): 101383 [PMID: 40061588 DOI: 10.3748/wjg.v31.i9.101383]
URL:	https://www.wjgnet.com/1007-9327/full/v31/i9/101383.htm

Number	Citing Articles
1	Huan Zhang, Xiangyu Wu, Wenjing Ni, Jiali Wu, Sisi Zhou, Leyao Jia, Mingyang Jin, Sitian Zhao, Zhenyao Jiang, Chao Wu, Yuxiang Sun, Junping Shi, Jie Li. Application of machine learning and deep learning in metabolic dysfunction-associated steatotic liver disease: a systematic review and meta-analysis. Journal of Advanced Research 2025; doi: 10.1016/j.jare.2025.08.042
2	Pablo Guillermo Hernández-Almonacid, Ximena Marín-Quintero. Artificial intelligence in metabolic dysfunction-associated steatotic liver disease: Transforming diagnosis and therapeutic approaches. World Journal of Gastroenterology 2026; 32(2): 111737 doi: 10.3748/wjg.v32.i2.111737 Abstract(14) \| Core Tip(11) \| Full Article(HTML)(76) \| Full Article with Cover (PDF)-1414K(5) \| Audio-1587K(5) \| Peer-Review Report-321K(7) \| Answering Reviewers-263K(8) \| Full Article (PDF)-1071K(27) \| Full Article (XML)-236K(3) \| Times Cited (0) \| Total Visits (251) \| Open
3	Neilson Silveira de Souza, Théo Cordeiro Veiga Vitório, Raphael Augusto de Souza, Marcos Antônio Dórea Machado, Helma Pinchemel Cotrim. Artificial Intelligence for Fibrosis Diagnosis in Metabolic-Dysfunction-Associated Steatotic Liver Disease: A Systematic Review. Diagnostics 2026; 16(2): 261 doi: 10.3390/diagnostics16020261
4	Min Cho, Yanzhen Qu. Enhancing Precision Oncology: Deep Learning Models vs. Classical Machine Learning Models in Multi-Label Breast Cancer Classification. European Journal of Electrical Engineering and Computer Science 2025; 9(3): 16 doi: 10.24018/ejece.2025.9.3.711
5	Catherine Lalman, Kylie R. Stabler, Yimin Yang, Janice L. Walker. Supervised Machine-Based Learning and Computational Analysis to Reveal Unique Molecular Signatures Associated with Wound Healing and Fibrotic Outcomes to Lens Injury. International Journal of Molecular Sciences 2025; 26(15): 7422 doi: 10.3390/ijms26157422