Artificial Intelligence Authentication

Artificial Intelligence Authentication is a methodological framework within aging verification that employs artificial intelligence techniques to uniquely verify the authenticity and temporal integrity of digital artifacts by distinguishing genuine from synthetic or altered content based on intrinsic patterns and temporal degradation signatures.

7

Publications

209

Citations

35

Authors

10

Institutions

Publications per year

2017–2026

7

Authors

35

  1. YH
    Yao He

    Soochow University, China

    1 publications · 52 citations

    1

    h-index

  2. YW
    Yalian Weng

    Fuzhou University, China

    1 publications · 30 citations

    1

    h-index

  3. JY
    Jianmin Yao

    Soochow University, China

    1 publications · 30 citations

    1

    h-index

  4. GC
    Guixiong Chen

    Fuzhou University, China

    1 publications · 30 citations

    1

    h-index

  5. XS
    Xuan Sun

    Beijing Information Science & Technology University, China

    1 publications · 40 citations

    1

    h-index

1–5 of 35

Venues

  1. ACS Applied Materials & Interfaces

    1 publications · 30 citations

    1

    h-index

  2. Jurnal Riset Ilmu Teknik

    1 publications · 10 citations

    1

    h-index

  3. Nano Today

    1 publications · 52 citations

    1

    h-index

  4. IEEE Access

    1 publications · 40 citations

    1

    h-index

  5. iScience

    1 publications · 31 citations

    1

    h-index

1–5