Hierarchical Fusion

Hierarchical Fusion is a fusion strategy that organizes combining information in multiple stages across different levels of abstraction, where higher-level融合 integrates intermediate results from lower-level fusion processes to progressively refine contextual understanding.

251

Publications

14.4K

Citations

1K

Authors

369

Institutions

Publications per year

2017–2026

174

Authors

1K

  1. EB
    Erik Blasch

    United States Air Force Research Laboratory, United States

    4 publications · 218 citations

    4

    h-index

  2. LY
    Long Yu

    Xinjiang University, China

    3 publications · 383 citations

    3

    h-index

  3. LY
    Lu Yu

    Zhejiang University, China

    3 publications · 245 citations

    3

    h-index

  4. WZ
    Wen‐An Zhang

    Zhejiang University of Technology, China

    3 publications · 159 citations

    3

    h-index

  5. ST
    Shengwei Tian

    Xinjiang University, China

    3 publications · 383 citations

    3

    h-index

1–5 of 1K

Venues

  1. Information Fusion

    13 publications · 715 citations

    13

    h-index

  2. IEEE Access

    9 publications · 255 citations

    9

    h-index

  3. arXiv (Cornell University)

    Repository · 8 publications · 142 citations

    8

    h-index

  4. 7

    h-index

  5. Knowledge-Based Systems

    5 publications · 488 citations

    5

    h-index

1–5