Pairwise Interaction Terms

Pairwise Interaction Terms is a type of interaction feature in statistical and machine learning models that represents the product of two distinct predictor variables, capturing the combined effect of their co-occurrence beyond individual main effects.

404

Publications

70.1K

Citations

1.1K

Authors

559

Institutions

Publications per year

2017–2026

78

Authors

1.1K

  1. DS
    Dezhi Sun

    Beijing Forestry University, China

    4 publications · 69 citations

    4

    h-index

  2. RL
    Ruisen Lin

    Zhejiang University, China

    3 publications · 53 citations

    3

    h-index

  3. PG
    Paul Gustafson

    University of British Columbia, Canada

    3 publications · 48 citations

    3

    h-index

  4. LY
    Li Yu

    Shandong University, China

    3 publications · 55 citations

    3

    h-index

  5. XH
    Xingen Hu

    Zhejiang University, China

    3 publications · 55 citations

    3

    h-index

1–5 of 1.1K

Venues

  1. The Journal of Chemical Physics

    40 publications · 4.3K citations

    25

    h-index

  2. Journal of Chemical Theory and Computation

    JCTC · 11 publications · 1.4K citations

    10

    h-index

  3. Physical Review A

    PRA · 9 publications · 331 citations

    9

    h-index

  4. Journal of Chemical & Engineering Data

    8 publications · 142 citations

    8

    h-index

  5. Journal of Computational Chemistry

    7 publications · 295 citations

    7

    h-index

1–5