Table 2 The top ten institutions and authors by volume of the application of deep learning in cancer
From: Bibliometric analysis of the application of deep learning in cancer from 2015 to 2023
Rank | Institution | Number | Centrality | Country | Author | Number | Total citations | Mean Citations |
|---|---|---|---|---|---|---|---|---|
1 | Chinese Academy of Sciences | 207 | 0.02 | China | Tian, Jie | 39 | 1007 | 25.82 |
2 | University of Texas System | 174 | 0.06 | USA | Wang, Jing | 27 | 273 | 10.11 |
3 | Egyptian Knowledge Bank | 151 | 0.06 | Egypt | Wang, Wei | 27 | 360 | 13.33 |
4 | Sun Yat Sen University | 144 | 0.06 | China | Lei, Yang | 26 | 655 | 25.19 |
5 | Shanghai Jiao Tong University | 135 | 0.09 | China | Liu, Tian | 26 | 648 | 24.92 |
6 | Harvard University | 127 | 0.05 | USA | Yang, Xiaofeng | 25 | 648 | 25.92 |
7 | University of California System | 107 | 0.03 | USA | Wang, Tonghe | 24 | 644 | 26.83 |
8 | Fudan University | 102 | 0.02 | China | Khan, Muhammad Attique | 23 | 900 | 39.13 |
9 | Southern Medical University | 98 | 0.04 | China | Zhang, Yu-dong | 23 | 810 | 35.22 |
10 | Harvard Medical School | 94 | 0.04 | USA | Liu, Zaiyi | 22 | 328 | 14.91 |