Artificial Immune Systems

Artificial Immune Systems is a computational intelligence paradigm that, as a population-based search method, derives its functional principles from the biological immune system to solve complex problems through processes such as clonal selection, affinity maturation, and immune network dynamics.

1.7K

Publications

84.2K

Citations

3.5K

Authors

1.3K

Institutions

Publications per year

2017–2026

357

Authors

3.5K

  1. LJ
    Licheng Jiao

    Xidian University, China

    45 publications · 2.4K citations

    26

    h-index

  2. JT
    Jon Timmis

    University of York, United Kingdom

    41 publications · 4.2K citations

    25

    h-index

  3. SF
    Stephanie Forrest

    University of New Mexico, United States

    23 publications · 6.8K citations

    21

    h-index

  4. FJ
    Fernando J. Von Zuben

    Universidade Estadual de Campinas (UNICAMP), Brazil

    27 publications · 3.4K citations

    19

    h-index

  5. SG
    Salih Güneş

    Selçuk University, Türkiye

    21 publications · 1.4K citations

    19

    h-index

1–5 of 3.5K

Venues

  1. Expert Systems with Applications

    43 publications · 2.3K citations

    30

    h-index

  2. Applied Soft Computing

    49 publications · 2.5K citations

    27

    h-index

  3. IEEE Access

    22 publications · 716 citations

    17

    h-index

  4. IEEE Transactions on Evolutionary Computation

    17 publications · 3.7K citations

    17

    h-index

  5. Information Sciences

    17 publications · 759 citations

    15

    h-index

1–5