Dominant Feature Analysis

Dominant Feature Analysis is a methodological approach in trademark law that identifies and evaluates the most distinctive and visually or phonetically prominent elements of a mark to assess its likelihood of confusion with another mark in the context of consumer perception.

42

Publications

1.5K

Citations

124

Authors

65

Institutions

Publications per year

2017–2026

9

Authors

124

  1. CK
    Chee Khiang Pang

    National University of Singapore, Singapore

    3 publications · 250 citations

    3

    h-index

  2. FL
    Frank L. Lewis

    The University of Texas at Arlington, United States

    3 publications · 250 citations

    3

    h-index

  3. ZZ
    Z.W. Zhong

    Nanyang Technological University, Singapore

    3 publications · 250 citations

    3

    h-index

  4. TC
    Te-Wei Chiang

    National Taiwan University, Taiwan

    2 publications · 35 citations

    2

    h-index

  5. SA
    Shaikh Anowarul Fattah

    Bangladesh University of Engineering and Technology, Bangladesh

    2 publications · 61 citations

    2

    h-index

1–5 of 124

Venues

  1. Pattern Recognition

    4 publications · 231 citations

    4

    h-index

  2. 2

    h-index

  3. IEEE Journal of Photovoltaics

    1 publications · 25 citations

    1

    h-index

  4. Tellus A Dynamic Meteorology and Oceanography

    1 publications · 15 citations

    1

    h-index

  5. Expert Systems with Applications

    1 publications · 12 citations

    1

    h-index

1–5