Immediate Impact
1 from Science/Nature 62 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 F.G. Ceglie being referenced
Potential of NIR spectroscopy for predicting internal quality and discriminating among strawberry fruits from different production systems
2016
Author Peers
| Author | Last Decade | Papers | Cites | |||
|---|---|---|---|---|---|---|
| F.G. Ceglie | 402 | 338 | 119 | 26 | 662 | |
| F. Martínez | 421 | 179 | 54 | 51 | 723 | |
| M. Motior Rahman | 515 | 137 | 47 | 33 | 777 | |
| Michela Farneselli | 484 | 351 | 58 | 34 | 746 | |
| Vítor Gabriel Ambrosini | 447 | 197 | 39 | 47 | 607 | |
| Alcione Miotto | 468 | 230 | 47 | 25 | 666 | |
| Xin Yang | 501 | 233 | 85 | 35 | 795 | |
| Xiangde Yang | 348 | 412 | 33 | 25 | 786 | |
| Shahen Shah | 434 | 167 | 36 | 30 | 597 | |
| Gary R. Bachman | 344 | 349 | 91 | 19 | 596 | |
| Koen Willekens | 244 | 332 | 139 | 32 | 638 |
All Works
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