Immediate Impact
26 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 Ancheng Wang being referenced
Prediction of amino acids, caffeine, theaflavins and water extract in black tea using FT-NIR spectroscopy coupled chemometrics algorithms
2018
Author Peers
| Author | Last Decade | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|
| Ancheng Wang | 121 | 42 | 9 | 124 | 119 | 28 | 372 | |
| Qiong Shi | 100 | 29 | 94 | 78 | 26 | 342 | ||
| Jingjing Wang | 54 | 13 | 1 | 180 | 178 | 15 | 431 | |
| Andrea Hornemann | 39 | 37 | 2 | 112 | 59 | 17 | 431 | |
| Quanhong Ou | 109 | 10 | 141 | 70 | 46 | 424 | ||
| Seok Park | 49 | 19 | 100 | 85 | 28 | 445 | ||
| Santiago Medina‐Rodríguez | 86 | 14 | 3 | 152 | 138 | 21 | 442 | |
| Wang Wen | 112 | 12 | 8 | 77 | 51 | 25 | 364 | |
| Roland Hass | 67 | 27 | 2 | 176 | 131 | 27 | 449 | |
| Nada A. O’Brien | 105 | 19 | 95 | 187 | 12 | 384 | ||
| Liang Shang | 94 | 17 | 240 | 165 | 18 | 423 |
All Works
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