Trend Classification

Trend Classification is a methodological framework within fashion trend forecasting that categorizes emerging patterns in style, consumer behavior, or design elements according to their temporal, cultural, or market-driven characteristics to distinguish ephemeral fads from sustained movements.

47

Publications

1.9K

Citations

136

Authors

81

Institutions

Publications per year

2017–2026

23

Authors

136

  1. WH
    William H. Reynolds

    University of Southern California, United States

    2 publications · 65 citations

    2

    h-index

  2. CM
    C. Melody Carswell

    University of Kentucky, United States

    2 publications · 74 citations

    2

    h-index

  3. ZL
    Zhao‐Rong Lai

    Sun Yat-sen University, China

    2 publications · 61 citations

    2

    h-index

  4. BT
    Bo‐Hui Tang

    Institute of Geographic Sciences and Natural Resources Research, China

    1 publications · 18 citations

    1

    h-index

  5. SS
    Siddhant Sinha

    Manipal Academy of Higher Education, India

    1 publications · 16 citations

    1

    h-index

1–5 of 136

Venues

  1. Expert Systems with Applications

    3 publications · 317 citations

    3

    h-index

  2. Remote Sensing

    2 publications · 30 citations

    2

    h-index

  3. Journal of Marketing

    JM · 2 publications · 65 citations

    2

    h-index

  4. Fire

    1 publications · 14 citations

    1

    h-index

  5. JAMA Oncology

    1 publications · 37 citations

    1

    h-index

1–5