Immediate Impact
60 standout
Citing Papers
Spectroscopic food adulteration detection using machine learning: Current challenges and future prospects
2024 Standout
Deep learning in food authenticity: Recent advances and future trends
2024 Standout
Works of Danilo A. Maretto being referenced
Least-squares support vector machines and near infrared spectroscopy for quantification of common adulterants in powdered milk
2006
Author Peers
| Author | Last Decade | Papers | Cites | ||||
|---|---|---|---|---|---|---|---|
| Danilo A. Maretto | 207 | 110 | 33 | 100 | 8 | 359 | |
| Guilherme L. Alexandrino | 195 | 134 | 1 | 82 | 20 | 398 | |
| Peter B. Skou | 73 | 77 | 39 | 120 | 14 | 352 | |
| Beatriz Galindo‐Prieto | 101 | 49 | 31 | 172 | 14 | 384 | |
| Şebnem Garip | 72 | 31 | 10 | 106 | 17 | 343 | |
| Radigya M. Correia | 164 | 135 | 28 | 70 | 10 | 362 | |
| Guohai Chu | 174 | 76 | 24 | 63 | 13 | 330 | |
| Mario Li Vigni | 197 | 76 | 36 | 67 | 16 | 316 | |
| Alberta Osei Barimah | 202 | 153 | 26 | 99 | 15 | 373 | |
| Si-Min Yan | 233 | 119 | 31 | 113 | 18 | 336 | |
| Anna Dankowska | 208 | 115 | 25 | 83 | 11 | 300 |
All Works
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