Inverse Diffusion Problems

Inverse Diffusion Problems is an inverse problem that seeks to determine the parameters, initial conditions, or boundary conditions of a diffusion process from observed data, distinguished by its focus on reversing the effects of diffusion to infer unknown causes from measurable outcomes.

426

Publications

20.4K

Citations

819

Authors

394

Institutions

Publications per year

2017–2026

160

Authors

819

  1. MY
    Masahiro Yamamoto

    The University of Tokyo, Japan

    16 publications · 2.7K citations

    15

    h-index

  2. TW
    Ting Wei

    Lanzhou University, China

    12 publications · 561 citations

    12

    h-index

  3. FY
    Fan Yang

    Lanzhou University of Technology, China

    9 publications · 235 citations

    9

    h-index

  4. WR
    William Rundell

    Texas A&M University, United States

    9 publications · 690 citations

    9

    h-index

  5. NH
    Nguyen Huy Tuan

    Ton Duc Thang University, Vietnam

    9 publications · 203 citations

    9

    h-index

1–5 of 819

Venues

  1. Inverse Problems

    42 publications · 3.1K citations

    30

    h-index

  2. Mathematical Methods in the Applied Sciences

    16 publications · 499 citations

    14

    h-index

  3. Computers & Mathematics with Applications

    14 publications · 629 citations

    13

    h-index

  4. Journal of Inverse and Ill-Posed Problems

    13 publications · 299 citations

    11

    h-index

  5. arXiv (Cornell University)

    Repository · 12 publications · 413 citations

    11

    h-index

1–5