Immediate Impact
58 standout
Citing Papers
Spectroscopic food adulteration detection using machine learning: Current challenges and future prospects
2024 Standout
An extensive review of hyperspectral image classification and prediction: techniques and challenges
2024 Standout
Works of M. Prevolnik being referenced
An attempt to predict pork drip loss from pH and colour measurements or near infrared spectra using artificial neural networks
2009
Predicting Intramuscular Fat Content in Pork and Beef by near Infrared Spectroscopy
2005
Author Peers
| Author | Last Decade | Papers | Cites | ||||
|---|---|---|---|---|---|---|---|
| M. Prevolnik | 361 | 240 | 24 | 114 | 19 | 445 | |
| B.N. Nilsen | 390 | 328 | 15 | 156 | 9 | 468 | |
| R.W. Kranen | 369 | 97 | 11 | 73 | 11 | 424 | |
| Alessandro Ferragina | 240 | 166 | 149 | 71 | 28 | 421 | |
| E.S. Toohey | 451 | 35 | 91 | 95 | 28 | 499 | |
| H. Rouissi | 214 | 124 | 95 | 45 | 29 | 405 | |
| Roland Labas | 356 | 30 | 20 | 61 | 13 | 474 | |
| Virgínia Santos | 334 | 66 | 209 | 43 | 23 | 485 | |
| Matthew G. Kerr | 357 | 26 | 25 | 52 | 13 | 407 | |
| S. R. Baud | 328 | 21 | 51 | 80 | 14 | 394 | |
| Nico Brogna | 224 | 40 | 54 | 19 | 20 | 379 |
All Works
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