Copyright
©The Author(s) 2025.
World J Gastrointest Surg. May 27, 2025; 17(5): 104728
Published online May 27, 2025. doi: 10.4240/wjgs.v17.i5.104728
Published online May 27, 2025. doi: 10.4240/wjgs.v17.i5.104728
Table 2 Top 10 funding sources in terms of number of supports
Rank | Source of fundings | No. of grants | Percent of total funding |
1 | National Natural Science Foundation of China | 406 | 15.909% |
2 | United States Department of Health Human Services | 256 | 10.031% |
3 | National Institutes of Health | 254 | 9.953% |
4 | National Research Foundation of Korea | 60 | 2.351% |
5 | National Institutes of Health National Cancer Institute | 60 | 2.351% |
6 | Ministry of Education Culture Sports Science and Technology Japan MEXT | 54 | 2.116% |
7 | Japan Society for the Promotion of Science | 51 | 1.998% |
8 | Grants in Aid for Scientific Research Kakenhi | 48 | 1.881% |
9 | National Key Research and Development Program of China | 41 | 1.607% |
10 | National Key RD Program of China | 34 | 1.332% |
- Citation: 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
- URL: https://www.wjgnet.com/1948-9366/full/v17/i5/104728.htm
- DOI: https://dx.doi.org/10.4240/wjgs.v17.i5.104728