Crime Data Fusion

Crime Data Fusion is a methodological framework that integrates heterogeneous crime-related datasets from multiple sources into a unified analytical representation to enhance predictive accuracy and situational awareness in crime risk assessment.

26

Publications

1.1K

Citations

101

Authors

51

Institutions

Publications per year

2017–2026

17

Authors

101

  1. XH
    Xinge Han

    China University of Mining and Technology, China

    2 publications · 93 citations

    2

    h-index

  2. XH
    Xiaofeng Hu

    China People's Public Security University, China

    2 publications · 93 citations

    2

    h-index

  3. OR
    Olivier Ribaux

    University of Lausanne, Switzerland

    2 publications · 81 citations

    2

    h-index

  4. MH
    Miaomiao Hou

    University of Pennsylvania, United States

    1 publications · 25 citations

    1

    h-index

  5. HS
    Hannah Steinman

    University of Wisconsin–Green Bay, United States

    1 publications · 14 citations

    1

    h-index

1–5 of 101

Venues

  1. IEEE Access

    2 publications · 99 citations

    2

    h-index

  2. 1

    h-index

  3. Decision Support Systems

    1 publications · 91 citations

    1

    h-index

  4. Mobile Information Systems

    1 publications · 39 citations

    1

    h-index

  5. Information Processing & Management

    1 publications · 16 citations

    1

    h-index

1–5