Tax Return Processing Automation

Tax Return Processing Automation is a computational framework that systematizes and executes tax return processing tasks with minimal human intervention by leveraging rule-based logic, machine learning, or artificial intelligence to enhance accuracy, efficiency, and scalability in tax administration.

2

Publications

35

Citations

4

Authors

3

Institutions

Publications per year

2017–2026

0

Authors

4

  1. CE
    Christopher Evans

    Queen's University, Canada

    1 publications · 15 citations

    1

    h-index

  2. BT
    B Tran Nam

    UNSW Sydney, Australia

    1 publications · 15 citations

    1

    h-index

  3. RM
    Robert M. O’Keefe

    Rensselaer Polytechnic Institute, United States

    1 publications · 20 citations

    1

    h-index

  4. DE
    Daniel E. O’Leary

    University of Southern California, United States

    1 publications · 20 citations

    1

    h-index

  5. LZ
    Lingyan Zhou

    East China Normal University, China

    1 publications · 11 citations

    0

    h-index

1–5 of 4

Institutions

3

Venues

  1. AI & Society

    1 publications · 20 citations

    1

    h-index

  2. SSRN Electronic Journal

    Repository · 1 publications · 15 citations

    1

    h-index

  3. Information

    1 publications · 13 citations

1–4