Signal Processing For Process Analysis

Signal Processing for Process Analysis is a methodological framework within process analytical chemistry that enables the transformation, interpretation, and extraction of meaningful chemical information from raw sensor data through mathematical and computational techniques tailored to real-time monitoring and control of dynamic processes.

74

Publications

3.2K

Citations

220

Authors

89

Institutions

Publications per year

2017–2026

29

Authors

220

  1. MC
    Moncef Chioua

    Imperial College London, United Kingdom

    3 publications · 49 citations

    3

    h-index

  2. XY
    Xuefeng Yan

    East China University of Science and Technology, China

    3 publications · 85 citations

    3

    h-index

  3. QJ
    Qingchao Jiang

    East China University of Science and Technology, China

    3 publications · 74 citations

    3

    h-index

  4. XG
    Xuejin Gao

    Beijing University of Technology, China

    2 publications · 72 citations

    2

    h-index

  5. MF
    Mohamed Faouzi Harkat

    Badji Mokhtar-Annaba University, Algeria

    2 publications · 90 citations

    2

    h-index

1–5 of 220

Venues

  1. Industrial & Engineering Chemistry Research

    9 publications · 479 citations

    9

    h-index

  2. 6

    h-index

  3. Control Engineering Practice

    5 publications · 186 citations

    5

    h-index

  4. Chemical Engineering Science

    5 publications · 622 citations

    5

    h-index

  5. Process Safety and Environmental Protection

    4 publications · 222 citations

    4

    h-index

1–5