Response Surface Sensitivity Analysis

Response Surface Sensitivity Analysis is a methodological framework within sensitivity analysis that constructs an approximate response surface model to quantify the influence of input variable variations on model output behavior through systematic exploration of the input parameter space.

70

Publications

3.4K

Citations

218

Authors

116

Institutions

Publications per year

2017–2026

14

Authors

218

  1. NR
    Norman R. Draper

    University of Wisconsin–Madison, United States

    3 publications · 248 citations

    3

    h-index

  2. QG
    Quan Gu

    Xiamen University, China

    3 publications · 120 citations

    3

    h-index

  3. GW
    Gang Wang

    Hong Kong University of Science and Technology, Hong Kong SAR China

    2 publications · 157 citations

    2

    h-index

  4. JT
    J. Teplik

    Motorola (United States), United States

    2 publications · 147 citations

    2

    h-index

  5. MI
    M. I. Rodrigues

    Universidade Estadual de Campinas (UNICAMP), Brazil

    2 publications · 41 citations

    2

    h-index

1–5 of 218

Venues

  1. Energy Conversion and Management

    2 publications · 236 citations

    2

    h-index

  2. 2

    h-index

  3. Enzyme and Microbial Technology

    2 publications · 193 citations

    2

    h-index

  4. AIAA Journal

    2 publications · 181 citations

    2

    h-index

  5. Process Safety and Environmental Protection

    2 publications · 124 citations

    2

    h-index

1–5