Image-based Sensing

Image-Based Sensing is a sensing methodology that belongs to the broader class of optical sensing techniques, distinguished by its reliance on two-dimensional spatial intensity patterns captured via imaging devices to extract quantitative information about physical, chemical, or biological phenomena.

154

Publications

6.6K

Citations

682

Authors

240

Institutions

Publications per year

2017–2026

63

Variants

Imaging-based Sensing

Authors

682

  1. BJ
    Bahram Javidi

    University of Connecticut, United States

    4 publications · 628 citations

    4

    h-index

  2. TY
    Tatsuo Yoshinobu

    The University of Osaka, Japan

    3 publications · 81 citations

    3

    h-index

  3. KM
    Ko‐ichiro Miyamoto

    Tohoku University, Japan

    3 publications · 81 citations

    3

    h-index

  4. BT
    Biying Tan

    Harbin Institute of Technology, China

    2 publications · 147 citations

    2

    h-index

  5. LL
    Lin‐Bao Luo

    Hefei University of Technology, China

    2 publications · 79 citations

    2

    h-index

1–5 of 682

Venues

  1. Sensors and Actuators B Chemical

    8 publications · 236 citations

    8

    h-index

  2. IEEE Sensors Journal

    6 publications · 98 citations

    6

    h-index

  3. Optics Express

    6 publications · 604 citations

    6

    h-index

  4. 6

    h-index

  5. IEEE Journal of Solid-State Circuits

    4 publications · 205 citations

    4

    h-index

1–5