Fraud Incident Classification

Fraud Incident Classification is a systematic categorization framework within incident classification that specifically identifies, distinguishes, and classifies fraudulent activities based on their modus operandi, severity, impact, and organizational context.

17

Publications

949

Citations

49

Authors

31

Institutions

Publications per year

2017–2026

11

Authors

49

  1. JM
    José M. Martínez-Martínez

    Universitat de València, Spain

    1 publications · 29 citations

    1

    h-index

  2. FX
    Fujing Xue

    Xi'an Jiaotong University, China

    1 publications · 35 citations

    1

    h-index

  3. WD
    Wei Duan

    Taiyuan University of Technology, China

    1 publications · 35 citations

    1

    h-index

  4. JZ
    Jianping Zhang

    Xiangtan University, China

    1 publications · 45 citations

    1

    h-index

  5. YC
    Yongquan Chen

    Chinese University of Hong Kong, Shenzhen, China

    1 publications · 11 citations

    1

    h-index

1–5 of 49

Venues

  1. Journal of Financial Crime

    2 publications · 403 citations

    2

    h-index

  2. Decision Support Systems

    2 publications · 172 citations

    2

    h-index

  3. Information Processing & Management

    1 publications · 16 citations

    1

    h-index

  4. Global Business Review

    1 publications · 35 citations

    1

    h-index

  5. Journal of Business Ethics

    1 publications · 55 citations

    1

    h-index

1–5