Visual Comfort Modeling

Visual Comfort Modeling is a computational framework that quantifies and predicts human perceptual satisfaction with indoor lighting conditions by integrating physiological, psychological, and environmental factors specific to daylight harvesting systems.

197

Publications

9.3K

Citations

556

Authors

225

Institutions

Publications per year

2017–2026

101

Authors

556

  1. GJ
    Gangyi Jiang

    Ningbo University, China

    8 publications · 209 citations

    8

    h-index

  2. FS
    Feng Shao

    Ningbo University, China

    8 publications · 209 citations

    8

    h-index

  3. QJ
    Qiuping Jiang

    Ningbo University, China

    6 publications · 171 citations

    6

    h-index

  4. CR
    Christoph Reinhart

    Massachusetts Institute of Technology, United States

    5 publications · 216 citations

    5

    h-index

  5. YM
    Yong Man Ro

    Korea Advanced Institute of Science and Technology, South Korea

    5 publications · 202 citations

    5

    h-index

1–5 of 556

Venues

  1. Energy and Buildings

    20 publications · 1.6K citations

    20

    h-index

  2. Building and Environment

    19 publications · 1.1K citations

    18

    h-index

  3. Sustainability

    10 publications · 282 citations

    10

    h-index

  4. Lighting Research & Technology

    6 publications · 275 citations

    6

    h-index

  5. Energy Procedia

    6 publications · 173 citations

    6

    h-index

1–5