Langevin Models

Langevin Models is a stochastic differential equation framework used in gene expression noise studies that incorporates both deterministic regulatory dynamics and stochastic fluctuations through an additive noise term to model the temporal evolution of molecular concentrations.

530

Publications

42.7K

Citations

1.2K

Authors

633

Institutions

Publications per year

2017–2026

102

Variants

Langevin Model

Authors

1.2K

  1. WY
    W. Ye

    Southeast University, China

    9 publications · 143 citations

    9

    h-index

  2. PN
    P. N. Nadtochy

    Omsk State University, Russia

    7 publications · 278 citations

    7

    h-index

  3. PF
    P. Fröbrich

    Freie Universität Berlin, Germany

    6 publications · 783 citations

    6

    h-index

  4. HH
    Hideo Hasegawa

    Tokyo Gakugei University, Japan

    5 publications · 84 citations

    5

    h-index

  5. HE
    H. Eslamizadeh

    Persian Gulf University, Iran

    5 publications · 72 citations

    5

    h-index

1–5 of 1.2K

Venues

  1. Physical Review Letters

    PRL · 26 publications · 2.5K citations

    25

    h-index

  2. The Journal of Chemical Physics

    37 publications · 3.1K citations

    23

    h-index

  3. Physical Review E

    PRE · 39 publications · 1.5K citations

    22

    h-index

  4. Physical Review C

    PRC · 17 publications · 636 citations

    15

    h-index

  5. 14

    h-index

1–5