Immediate Impact
51 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 Janet Riedl being referenced
Non-targeted detection of paprika adulteration using mid-infrared spectroscopy and one-class classification – Is it data preprocessing that makes the performance?
2018
Review of validation and reporting of non-targeted fingerprinting approaches for food authentication
2015
Author Peers
| Author | Last Decade | Papers | Cites | ||||
|---|---|---|---|---|---|---|---|
| Janet Riedl | 533 | 184 | 362 | 283 | 23 | 1.1k | |
| Georgios P. Danezis | 456 | 180 | 294 | 276 | 21 | 1.3k | |
| Dion M.A.M. Luykx | 341 | 158 | 201 | 188 | 17 | 1.0k | |
| Stefan Platikanov | 234 | 75 | 396 | 214 | 27 | 1.1k | |
| Yuwei Yuan | 460 | 458 | 331 | 213 | 74 | 1.3k | |
| Yveline Le Dréau | 167 | 72 | 540 | 284 | 32 | 1.1k | |
| Yuluan Wu | 259 | 210 | 429 | 159 | 39 | 1.3k | |
| Ana Bernabéu Gonzálvez | 154 | 193 | 394 | 103 | 24 | 876 | |
| Monika Tomaniová | 306 | 58 | 309 | 202 | 40 | 1.3k | |
| Xindong Guo | 242 | 181 | 364 | 120 | 43 | 1.0k | |
| Mercedes Del Río‐Celestino | 420 | 62 | 389 | 94 | 70 | 1.4k |
All Works
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