Visual Workflow Management

Visual Workflow Management is a method within the domain of workflow optimization that uses visual artifacts to represent work items and their progression through stages, thereby distinguishing itself through real-time transparency, explicit process policies, and continuous flow monitoring to enhance control, collaboration, and adaptive decision-making in Kanban Systems.

21

Publications

929

Citations

84

Authors

32

Institutions

Publications per year

2017–2026

3

Authors

84

  1. FF
    Farshad Fotouhi

    Wayne State University, United States

    3 publications · 239 citations

    3

    h-index

  2. XF
    Xubo Fei

    Wayne State University, United States

    3 publications · 239 citations

    3

    h-index

  3. ZL
    Zhaoqiang Lai

    Wayne State University, United States

    3 publications · 239 citations

    3

    h-index

  4. JH
    Jing Hua

    Wayne State University, United States

    3 publications · 239 citations

    3

    h-index

  5. AC
    Artem Chebotko

    Wayne State University, United States

    3 publications · 239 citations

    3

    h-index

1–5 of 84

Venues

  1. IEEE Transactions on Services Computing

    2 publications · 235 citations

    2

    h-index

  2. Journal of Grid Computing

    1 publications · 143 citations

    1

    h-index

  3. International Journal on Digital Libraries

    1 publications · 15 citations

    1

    h-index

  4. Bioinformatics

    1 publications · 82 citations

    1

    h-index

  5. Journal of Environmental Management

    1 publications · 48 citations

    1

    h-index

1–5