Stochastic Network Optimization

Stochastic Network Optimization is a mathematical framework for optimizing network performance under uncertainty, distinguished by its integration of stochastic models to represent random or probabilistic network dynamics and its formulation of decision policies that adapt to evolving system states.

414

Publications

23.6K

Citations

974

Authors

450

Institutions

Publications per year

2017–2026

139

Authors

974

  1. MJ
    Michael J. Neely

    University of Southern California, United States

    15 publications · 3.5K citations

    15

    h-index

  2. YL
    Yi‐Kuei Lin

    National Taiwan University of Science and Technology, Taiwan

    13 publications · 620 citations

    12

    h-index

  3. TG
    Teodor Gabriel Crainic

    Université du Québec à Montréal, Canada

    7 publications · 358 citations

    7

    h-index

  4. LH
    Longbo Huang

    Tsinghua University, China

    7 publications · 309 citations

    7

    h-index

  5. CY
    Cheng-Ta Yeh

    National Taiwan University of Science and Technology, Taiwan

    5 publications · 229 citations

    5

    h-index

1–5 of 974

Venues

  1. European Journal of Operational Research

    10 publications · 2K citations

    10

    h-index

  2. IEEE Transactions on Wireless Communications

    10 publications · 331 citations

    10

    h-index

  3. 9

    h-index

  4. Information Sciences

    7 publications · 265 citations

    9

    h-index

  5. Transportation Research Part B Methodological

    8 publications · 459 citations

    8

    h-index

1–5