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©The Author(s) 2025.
World J Hepatol. Mar 27, 2025; 17(3): 101721
Published online Mar 27, 2025. doi: 10.4254/wjh.v17.i3.101721
Published online Mar 27, 2025. doi: 10.4254/wjh.v17.i3.101721
Table 2 The top ten institutions by volume of the application of artificial intelligence to liver disease
Rank | Country | Counts | Institution | Citation | Mean citation |
1 | China | 104 | Chinese Academy of Sciences | 2088 | 20.08 |
2 | China | 96 | Fudan University | 1465 | 15.26 |
3 | China | 93 | Zhejiang University | 1366 | 14.69 |
4 | China | 92 | Sun Yat-Sen University | 1833 | 19.92 |
5 | China | 64 | Shanghai Jiao Tong University | 732 | 11.44 |
6 | China | 63 | Sichuan University | 606 | 9.62 |
7 | United States | 56 | University of Pittsburgh | 1815 | 32.41 |
8 | China | 53 | Capital Medical University | 735 | 13.87 |
9 | China | 52 | Stanford University | 1308 | 25.15 |
10 | China | 47 | Chinese People’s Liberation Army General Hospital | 858 | 18.26 |
- Citation: Zhou XQ, Huang S, Shi XM, Liu S, Zhang W, Shi L, Lv MH, Tang XW. Global trends in artificial intelligence applications in liver disease over seventeen years. World J Hepatol 2025; 17(3): 101721
- URL: https://www.wjgnet.com/1948-5182/full/v17/i3/101721.htm
- DOI: https://dx.doi.org/10.4254/wjh.v17.i3.101721