Morphological Change Visualization

Morphological Change Visualization is a visualization framework that systematically represents spatiotemp廓ral transformations in urban form over time by integrating geometric, functional, and structural attributes of built environments to reveal patterns of urban evolution.

51

Publications

2.2K

Citations

225

Authors

69

Institutions

Publications per year

2017–2026

6

Authors

225

  1. MM
    Mutsuyoshi Matsumoto

    Tokyo University of Science, Japan

    2 publications · 44 citations

    2

    h-index

  2. MA
    Masahiko Abe

    Tokyo University of Science, Japan

    2 publications · 44 citations

    2

    h-index

  3. AG
    Alberto Giordano

    Texas State University, United States

    1 publications · 26 citations

    1

    h-index

  4. YK
    Ya-Huei Kuo

    University of Connecticut, United States

    1 publications · 26 citations

    1

    h-index

  5. UK
    Ujimoto Konomi

    Tokyo Medical University, Japan

    1 publications · 16 citations

    1

    h-index

1–5 of 225

Venues

  1. PubMed

    Repository · 4 publications · 146 citations

    4

    h-index

  2. Journal of Neurochemistry

    JNC · 3 publications · 179 citations

    3

    h-index

  3. Proceedings of the National Academy of Sciences

    PNAS · 2 publications · 245 citations

    2

    h-index

  4. Biological Bulletin

    2 publications · 191 citations

    2

    h-index

  5. Journal of Virology

    JVI · 1 publications · 22 citations

    1

    h-index

1–5