Concepedia

False Documentation Detection

False Documentation Detection is a fraud compliance method that identifies伪造 or misleading documents by analyzing discrepancies in content, format, and provenance to distinguish them from authentic records.

2

Publications

44

Citations

2

Authors

2

Institutions

Publications per year

2017–2026

0

Parents

Publications

2

1–3 of 2

Authors

2

  1. PA
    Patricia A Bailey

    University of Scranton, United States

    1 publications · 28 citations

    1

    h-index

  2. MK
    Maria Krambia‐Kapardis

    Cyprus University of Technology, Cyprus

    1 publications · 16 citations

    1

    h-index

  3. SH
    Sobia Hussain

    1 publications · 10 citations

    0

    h-index

  4. AR
    Asif Raza

    Bahauddin Zakariya University, Pakistan

    1 publications · 10 citations

    0

    h-index

  5. MT
    Muhammad Tanveer Meeran

    Central South University, China

    1 publications · 10 citations

    0

    h-index

1–5 of 2

Institutions

2

  1. PricewaterhouseCoopers (Canada)

    Toronto, Canada

    1 h-index

    1 publications

    16 citations

  2. University of Scranton

    Scranton, United States

    1 h-index

    1 publications

    28 citations

1–2 of 2

Venues

  1. Journal of Nursing Education

    JNE · 1 publications · 28 citations

    1

    h-index

  2. Journal of Financial Crime

    1 publications · 16 citations

    1

    h-index

  3. IEEEP New Horizons Journal

    1 publications · 10 citations

1–3