Immediate Impact

24 standout
Sub-graph 1 of 12

Citing Papers

Spectroscopic food adulteration detection using machine learning: Current challenges and future prospects
2024 Standout
Enhancing food authentication through E-nose and E-tongue technologies: Current trends and future directions
2024 Standout
3 intermediate papers

Works of A. Oussama being referenced

Quantification of Adulterations in Sesame Oil with Inferior Edible Oils by using ATR-FTIR Coupled to Chemometrics
2016
Prediction of the geographical origin of butters by partial least square discriminant analysis (PLS-DA) applied to infrared spectroscopy (FTIR) data
2013

Author Peers

Author Last Decade Papers Cites
A. Oussama 190 64 43 94 19 311
M. H. Moh 161 105 32 91 13 324
Durmuş Özdemir 203 58 69 92 26 360
Anna Dankowska 208 55 42 115 11 300
Márcia H.C. Nascimento 162 41 64 108 28 321
Yanhua Lai 158 62 30 86 21 371
Roney Alves da Rocha 168 51 55 106 22 336
Lucas Caixeta Gontijo 224 25 71 166 20 321
Oğuz Uncu 240 169 36 99 12 334
Mohammed Alaoui Mansouri 163 39 71 77 15 267
Mayara Ferreira Barbosa 181 18 22 154 16 348

All Works

Loading papers...

Rankless by CCL
2026