Immediate Impact
65 standout
Citing Papers
Spectroscopic food adulteration detection using machine learning: Current challenges and future prospects
2024 Standout
Artificial intelligence in environmental monitoring: Advancements, challenges, and future directions
2024 Standout
Works of Jing Xin being referenced
Weed identification based on K-means feature learning combined with convolutional neural network
2017
Author Peers
| Author | Last Decade | Papers | Cites | ||||
|---|---|---|---|---|---|---|---|
| Jing Xin | 93 | 70 | 18 | 182 | 44 | 440 | |
| Nan Wang | 95 | 42 | 18 | 98 | 54 | 489 | |
| Jun Zhang | 159 | 64 | 8 | 97 | 24 | 415 | |
| Tao Li | 89 | 32 | 93 | 222 | 58 | 506 | |
| Peng Luo | 73 | 39 | 48 | 109 | 19 | 402 | |
| Mingle Xu | 101 | 110 | 9 | 162 | 12 | 436 | |
| S. Domnic | 157 | 65 | 6 | 110 | 46 | 390 | |
| Qingyun Sun | 104 | 190 | 33 | 70 | 33 | 442 | |
| Huan Xu | 163 | 50 | 68 | 96 | 28 | 448 | |
| Jie Zhang | 91 | 19 | 58 | 237 | 34 | 461 | |
| Gang Zhang | 133 | 68 | 4 | 118 | 36 | 397 |
All Works
Login with ORCID to disown or claim papers
Loading papers...