Immediate Impact

54 standout
Sub-graph 1 of 23

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
11 intermediate papers

Works of Noha Morsy being referenced

Robust linear and non-linear models of NIR spectroscopy for detection and quantification of adulterants in fresh and frozen-thawed minced beef
2012
Non-destructive assessment of microbial contamination in porcine meat using NIR hyperspectral imaging
2012
and 1 more

Author Peers

Author Last Decade Papers Cites
Noha Morsy 48 181 296 176 12 426
Shuijuan Feng 54 140 369 160 11 465
Tahar Boubellouta 33 145 221 106 20 393
Nádia Reis 58 83 216 162 8 509
Athina Ropodi 36 151 289 191 8 421
Jianguo He 100 145 433 190 19 505
N. Wang 124 108 344 153 7 450
Frederick R. van de Voort 29 71 242 155 16 398
Matthias Schmutzler 14 55 202 125 10 400
Cláudia A. Teixeira dos Santos 81 58 322 144 11 466
Miguel Lopo 57 47 218 97 10 416

All Works

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2026