Fraud Ring Detection

Fraud Ring Detection is a computational method designed to identify coordinated groups of malicious actors engaged in systematic financial fraud by analyzing behavioral patterns and relational networks that distinguish them from isolated fraudulent activities.

4

Publications

638

Citations

15

Authors

8

Institutions

Publications per year

2017–2026

2

Authors

15

  1. CW
    Chiang Wang

    Medical University of South Carolina, United States

    1 publications · 516 citations

    1

    h-index

  2. FY
    Fang Yu

    National Chengchi University, Taiwan

    1 publications · 70 citations

    1

    h-index

  3. SL
    Shing‐Han Li

    Tatung University, Taiwan

    1 publications · 516 citations

    1

    h-index

  4. NC
    Natalis Christian

    International University of Batam, Indonesia

    1 publications · 39 citations

    1

    h-index

  5. BA
    Basri

    International University of Batam, Indonesia

    1 publications · 39 citations

    1

    h-index

1–5 of 15

Venues

  1. EUROPEAN RESEARCH STUDIES JOURNAL

    1 publications · 13 citations

    1

    h-index

  2. Expert Systems with Applications

    1 publications · 70 citations

    1

    h-index

  3. Zenodo (CERN European Organization for Nuclear Research)

    Repository · 1 publications · 39 citations

    1

    h-index

  4. Computers in Human Behavior

    1 publications · 516 citations

    1

    h-index

1–4