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Cited by in CrossRef
For: Zheng RJ, Li DL, Lin HM, Wang JF, Luo YM, Tang Y, Li F, Hu Y, Su S. Bibliometrics of artificial intelligence applications in hepatobiliary surgery from 2014 to 2024. World J Gastrointest Surg 2025; 17(5): 104728 [PMID: 40502490 DOI: 10.4240/wjgs.v17.i5.104728]
URL: https://www.wjgnet.com/1948-9366/full/v17/i5/104728.htm
Number Citing Articles
1
Yogendra Narayan Prajapati, Shashank Sahu, Anupama Sharma, Jitendra Kumar, Anu Chaudhary, Avdhesh Gupta, Chetna Rathore. Artificial intelligence and machine learning in robotic, teleoperated, and remote surgery: a bibliometric and knowledge mapping analysis (2015–2025)Journal of Robotic Surgery 2026; 20(1) doi: 10.1007/s11701-026-03600-5
2
Yingzhao Huang, Yuhong Wang, Chen Hou, Fan Song, Yaoqi Jiang, Kunyi Chen, Jinsong Hou. Mapping Artificial Intelligence Research in Oral and Maxillofacial Surgery: A Bibliometric AnalysisInternational Dental Journal 2026; 76(3) doi: 10.1016/j.identj.2026.109456
3
Andreas Efstathiou, Evgenia Charitaki, Charikleia Triantopoulou, Spiros Delis. Artificial Intelligence and Digital Tools Across the Hepato-Pancreato-Biliary Surgical Pathway: A Systematic ReviewJournal of Clinical Medicine 2025; 14(18) doi: 10.3390/jcm14186501