Immediate Impact
31 standout
Citing Papers
Spectroscopic food adulteration detection using machine learning: Current challenges and future prospects
2024 Standout
Deep leaning in food safety and authenticity detection: An integrative review and future prospects
2024 Standout
Works of Hee‐Chul Kim being referenced
Estimating the Composition of Food Nutrients from Hyperspectral Signals Based on Deep Neural Networks
2019
Author Peers
| Author | Last Decade | Papers | Cites | ||||
|---|---|---|---|---|---|---|---|
| Hee‐Chul Kim | 257 | 12 | 163 | 186 | 44 | 505 | |
| Zhenliang Zhang | 43 | 5 | 76 | 45 | 48 | 492 | |
| Sachin Ahuja | 104 | 4 | 18 | 51 | 465 | ||
| Lei Ma | 208 | 39 | 107 | 53 | 502 | ||
| Tao Yang | 141 | 9 | 254 | 46 | 500 | ||
| Mehdi Sedighi | 11 | 2 | 126 | 82 | 47 | 451 | |
| Tao Wang | 52 | 3 | 40 | 243 | 52 | 528 | |
| Peng Hou | 242 | 28 | 104 | 21 | 448 | ||
| Ted H. Szymanski | 290 | 17 | 330 | 52 | 539 | ||
| Md. Saidur Rahman | 54 | 1 | 187 | 55 | 65 | 438 | |
| Xiaodong Cheng | 67 | 2 | 26 | 145 | 49 | 459 |
All Works
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