Concepedia

Alice Two-step Framework

The Alice Two-Step Framework is a judicial doctrine in U.S. patent law that serves as a categorical test for determining patent eligibility by first assessing whether a claimed invention is directed to an abstract idea and, if so, then evaluating whether the claim contains an inventive concept sufficient to transform the abstract idea into a patent-eligible application.

5

Publications

1.3K

Citations

13

Authors

12

Institutions

Publications per year

2017–2026

3

Variants

Alice TestAlice/mayo Test

Parents

Publications

5

A Two-Step Framework for Constructing Blind Image Quality Indices

Anush K. Moorthy, Alan C. Bovik · IEEE Signal Processing Letters · 2010 · 1.2K citations

, , +12

Identifying Self-Admitted Technical Debts With Jitterbug: A Two-Step Approach

Zhe Yu, Fahmid Morshed Fahid, Huy Tu et al. · IEEE Transactions on Software Engineering · 2020 · 46 citations · Full text

, , +12

A practical two-step framework for all-sky land surface temperature estimation

Huanyu Zhang, Bo‐Hui Tang, Zhao-Liang Li · Remote Sensing of Environment · 2024 · 34 citations

, , +12

Assumptions of the Two-Step Approach

Claes Fornell, Youjae Yi · Sociological Methods & Research · 1992 · 29 citations · Full text

, , +4

A two-step framework for dispatching shared agricultural machinery with time windows

Yijia Wang, George Q. Huang · Computers and Electronics in Agriculture · 2021 · 26 citations

, , +11

1–5 of 5

Authors

13

  1. ZY
    Zhe Yu

    North Carolina State University, United States

    1 publications · 46 citations

    1

    h-index

  2. BT
    Bo‐Hui Tang

    Institute of Geographic Sciences and Natural Resources Research, China

    1 publications · 34 citations

    1

    h-index

  3. AC
    Alan C. Bovik

    The University of Texas at Austin, United States

    1 publications · 1.2K citations

    1

    h-index

  4. HT
    Huy Tu

    North Carolina State University, United States

    1 publications · 46 citations

    1

    h-index

  5. AK
    Anush K. Moorthy

    The University of Texas at Austin, United States

    1 publications · 1.2K citations

    1

    h-index

1–5 of 13

Institutions

12

  1. Chinese Academy of Agricultural Sciences

    Beijing, China

    1 h-index

    1 publications

    34 citations

  2. Institute of Agricultural Resources and Regional Planning

    Beijing, China

    1 h-index

    1 publications

    34 citations

  3. University of Chinese Academy of Sciences

    Beijing, China

    1 h-index

    1 publications

    34 citations

  4. Ministry of Agriculture and Rural Affairs

    Beijing, China

    1 h-index

    1 publications

    34 citations

  5. University of Hong Kong

    Pok Fu Lam, Hong Kong

    1 h-index

    2 publications

    52 citations

  6. Chinese Academy of Sciences

    Beijing, China

    1 h-index

    2 publications

    68 citations

  7. The University of Texas at Austin

    Austin, United States

    1 h-index

    2 publications

    2.4K citations

  8. Kunming University of Science and Technology

    Kunming, China

    1 h-index

    1 publications

    34 citations

1–8 of 12

Venues

  1. IEEE Transactions on Software Engineering

    TSE · 1 publications · 46 citations

    1

    h-index

  2. IEEE Signal Processing Letters

    1 publications · 1.2K citations

    1

    h-index

  3. Computers and Electronics in Agriculture

    1 publications · 26 citations

    1

    h-index

  4. Sociological Methods & Research

    SMR · 1 publications · 29 citations

    1

    h-index

  5. Remote Sensing of Environment

    1 publications · 34 citations

    1

    h-index

1–5