Pairwise Matching

Pairwise Matching is a methodological approach in message matching that identifies and aligns corresponding elements between two distinct messages by evaluating their semantic and structural relationships on a one-to-one basis.

482

Publications

39.3K

Citations

1.6K

Authors

579

Institutions

Publications per year

2017–2026

155

Authors

1.6K

  1. HZ
    Hongyuan Zha

    Georgia Institute of Technology, United States

    5 publications · 406 citations

    5

    h-index

  2. JW
    Jason Weston

    Meta (Israel), Israel

    4 publications · 395 citations

    4

    h-index

  3. XY
    Xiaokang Yang

    Shanghai Jiao Tong University, China

    4 publications · 387 citations

    4

    h-index

  4. TF
    Thomas Funkhouser

    Princeton University, United States

    4 publications · 317 citations

    4

    h-index

  5. JY
    Junchi Yan

    Shanghai Jiao Tong University, China

    4 publications · 387 citations

    4

    h-index

1–5 of 1.6K

Venues

  1. arXiv (Cornell University)

    Repository · 17 publications · 604 citations

    13

    h-index

  2. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 13 publications · 2.3K citations

    13

    h-index

  3. IEEE Transactions on Image Processing

    12 publications · 703 citations

    11

    h-index

  4. BMC Bioinformatics

    8 publications · 266 citations

    8

    h-index

  5. IEEE Transactions on Multimedia

    8 publications · 831 citations

    8

    h-index

1–5