Iot Data Fusion

IoT Data Fusion is a data integration methodology that combines heterogeneous, multi-source sensor data from interconnected Internet of Things devices to produce more accurate, consistent, and actionable information than could be achieved by individual data streams alone.

145

Publications

9.7K

Citations

523

Authors

297

Institutions

Publications per year

2017–2026

125

Authors

523

  1. LT
    Laurence T. Yang

    St. Francis Xavier University, Canada

    6 publications · 421 citations

    6

    h-index

  2. ZY
    Zheng Yan

    Xidian University, China

    4 publications · 278 citations

    4

    h-index

  3. FW
    Feng Wang

    Jilin University, China

    3 publications · 116 citations

    3

    h-index

  4. VC
    Victor Chang

    Xi’an Jiaotong-Liverpool University, China

    3 publications · 173 citations

    3

    h-index

  5. RD
    Rustem Dautov

    University of Messina, Italy

    2 publications · 155 citations

    2

    h-index

1–5 of 523

Venues

  1. Information Fusion

    13 publications · 1.3K citations

    13

    h-index

  2. Future Generation Computer Systems

    FGCS · 10 publications · 415 citations

    10

    h-index

  3. IEEE Access

    10 publications · 940 citations

    10

    h-index

  4. Sensors

    8 publications · 415 citations

    8

    h-index

  5. IEEE Internet of Things Journal

    7 publications · 256 citations

    6

    h-index

1–5