Ponzi Scheme Detection

Ponzi Scheme Detection is a methodological framework within financial crime analysis that identifies fraudulent investment operations by distinguishing their characteristic patterns of fabricated returns and continual reliance on new investor inflows from legitimate profit-generating activities.

33

Publications

2.3K

Citations

99

Authors

44

Institutions

Publications per year

2017–2026

28

Authors

99

  1. ZZ
    Zibin Zheng

    Sun Yat-sen University, China

    4 publications · 793 citations

    4

    h-index

  2. WC
    Weili Chen

    Sun Yat-sen University, China

    3 publications · 716 citations

    3

    h-index

  3. MB
    Massimo Bartoletti

    University of Cagliari, Italy

    3 publications · 434 citations

    3

    h-index

  4. YZ
    Yanmei Zhang

    Central University of Finance and Economics, China

    3 publications · 118 citations

    3

    h-index

  5. RD
    Ruiying Du

    Wuhan University, China

    3 publications · 118 citations

    3

    h-index

1–5 of 99

Venues

  1. SSRN Electronic Journal

    Repository · 2 publications · 91 citations

    2

    h-index

  2. IEEE Access

    2 publications · 295 citations

    2

    h-index

  3. ACM Transactions on Software Engineering and Methodology

    TOSEM · 2 publications · 87 citations

    2

    h-index

  4. Scientific Reports

    1 publications · 25 citations

    1

    h-index

  5. arXiv (Cornell University)

    Repository · 1 publications · 334 citations

    1

    h-index

1–5