Noise Factor Modeling

Noise Factor Modeling is a systematic method in robust design optimization that identifies, characterizes, and quantifies uncontrollable external and internal variations—termed noise factors—to enable the design of systems that maintain stable performance under real-world variability.

59

Publications

2.6K

Citations

169

Authors

71

Institutions

Publications per year

2017–2026

8

Authors

169

  1. KT
    Kwok‐Leung Tsui

    City University of Hong Kong, Hong Kong SAR China

    4 publications · 535 citations

    4

    h-index

  2. BE
    Bahaa E. A. Saleh

    Boston University, United States

    3 publications · 277 citations

    3

    h-index

  3. AC
    Anne C. Shoemaker

    AT&T (United States), United States

    3 publications · 482 citations

    3

    h-index

  4. MC
    Malvin C. Teich

    Columbia University, United States

    3 publications · 277 citations

    3

    h-index

  5. ED
    Enrique Del Castillo

    Pennsylvania State University, United States

    3 publications · 78 citations

    3

    h-index

1–5 of 169

Venues

  1. Journal of Quality Technology

    4 publications · 205 citations

    4

    h-index

  2. IEEE Transactions on Electron Devices

    4 publications · 323 citations

    4

    h-index

  3. IIE Transactions

    3 publications · 70 citations

    3

    h-index

  4. 3

    h-index

  5. Japanese Journal of Applied Physics

    JJAP · 2 publications · 21 citations

    2

    h-index

1–5