Street View Composition

Street View Composition is a methodological framework within urban visual analytics that systematically organizes and interprets street-level imagery to characterize the physical, spatial, and aesthetic attributes of urban environments.

12

Publications

753

Citations

57

Authors

25

Institutions

Publications per year

2017–2026

10

Authors

57

  1. CW
    Chuan Wang

    University of Chinese Academy of Sciences, China

    1 publications · 22 citations

    1

    h-index

  2. MT
    Meng Tian

    Shenzhen University, China

    1 publications · 55 citations

    1

    h-index

  3. JN
    Jinsheng Ning

    Northeastern University, China

    1 publications · 56 citations

    1

    h-index

  4. LY
    Li Yan

    Wuhan University, China

    1 publications · 56 citations

    1

    h-index

  5. XL
    Xuanhe Li

    Jiangnan University, China

    1 publications · 37 citations

    1

    h-index

1–5 of 57

Venues

  1. Building and Environment

    2 publications · 111 citations

    2

    h-index

  2. Landscape and Urban Planning

    1 publications · 205 citations

    1

    h-index

  3. Buildings

    1 publications · 22 citations

    1

    h-index

  4. Image and Vision Computing

    1 publications · 43 citations

    1

    h-index

  5. Sustainability

    1 publications · 37 citations

    1

    h-index

1–5