Concept
image classification (electrical engineering)
Parents
2.4K
Publications
228.5K
Citations
8.8K
Authors
2.3K
Institutions
Top Institutions in Image Classification (Electrical Engineering)
Discover the leading universities, research centers, and organizations that are driving innovation and advancing knowledge in Image Classification (Electrical Engineering). The statistics shown in this table are calculated from publications relevant to this concept and reflect each institution's impact within this specific field of study, not their overall metrics.
| Publications | Citations | H-Index | |
|---|---|---|---|
![]() Beijing, China | 408 | 24.2K | 45 |
Wuhan, China | 204 | 46.9K | 36 |
Beijing, China | 143 | 8.5K | 33 |
101 | 15.7K | 27 | |
Beijing, China | 142 | 8.2K | 26 |
![]() Xi'an, China | 158 | 7K | 22 |
Wuhan, China | 71 | 2.9K | 21 |
Beijing, China | 78 | 4.9K | 21 |
Beijing, China | 83 | 4.1K | 20 |
![]() Xi'an, China | 72 | 8.2K | 19 |
Nanjing, China | 60 | 3.6K | 18 |
![]() Harbin, China | 57 | 2.8K | 18 |
Page 1
Page 1