Pattern Recognition Models

Pattern Recognition Models is a computational framework that identifies and classifies complex spectral, chemical, or sensory data patterns characteristic of authentic olive oil by distinguishing them from adulterated or substandard samples through algorithmic learning of discriminative features.

1.7K

Publications

136.9K

Citations

5.8K

Authors

1.7K

Institutions

Publications per year

2017–2026

730

Authors

5.8K

  1. BK
    Barry K. Lavine

    Oklahoma State University, United States

    10 publications · 304 citations

    10

    h-index

  2. QC
    Quansheng Chen

    Jiangsu University, China

    9 publications · 205 citations

    9

    h-index

  3. NI
    Nurlaila Ismail

    Universiti Teknologi MARA, Malaysia

    9 publications · 126 citations

    9

    h-index

  4. HL
    Hailong Liu

    Yanshan University, China

    9 publications · 352 citations

    9

    h-index

  5. XW
    Xijun Wu

    Yanshan University, China

    9 publications · 352 citations

    9

    h-index

1–5 of 5.8K

Venues

  1. Food Chemistry

    64 publications · 4.1K citations

    40

    h-index

  2. Analytica Chimica Acta

    48 publications · 2.7K citations

    29

    h-index

  3. Sensors

    44 publications · 2.4K citations

    28

    h-index

  4. Talanta

    29 publications · 1.3K citations

    25

    h-index

  5. Chemometrics and Intelligent Laboratory Systems

    30 publications · 1.3K citations

    22

    h-index

1–5