Monitoring Data Fusion

Monitoring Data Fusion is a systematic integration process that synthesizes heterogeneous sensor measurements and observational inputs from multiple sources within tunnel monitoring systems into a unified, coherent representation to enhance data accuracy, reliability, and situational awareness beyond the capabilities of individual data streams.

24

Publications

1.1K

Citations

101

Authors

36

Institutions

Publications per year

2017–2026

16

Authors

101

  1. JH
    Jinping He

    Wuhan University, China

    2 publications · 29 citations

    2

    h-index

  2. HW
    Hui Wang

    Wenzhou University, China

    1 publications · 40 citations

    1

    h-index

  3. LY
    Lei Yao

    Huazhong University of Science and Technology, China

    1 publications · 10 citations

    1

    h-index

  4. CX
    Cun Xin

    Xi'an Jiaotong University, China

    1 publications · 41 citations

    1

    h-index

  5. LL
    Lusi Li

    Old Dominion University, United States

    1 publications · 22 citations

    1

    h-index

1–5 of 101

Venues

  1. Measurement

    2 publications · 77 citations

    2

    h-index

  2. Tunnelling and Underground Space Technology

    2 publications · 159 citations

    2

    h-index

  3. Bulletin of Earthquake Engineering

    1 publications · 27 citations

    1

    h-index

  4. The Journal of Supercomputing

    1 publications · 14 citations

    1

    h-index

  5. Applied Soft Computing

    1 publications · 54 citations

    1

    h-index

1–5