Multi-stage Data Processing

Multi-Stage Data Processing is a data orchestration framework that sequentially coordinates distinct, interdependent processing phases—such as ingestion, transformation, and analysis—to enable complex data workflows through structured, pipelined execution.

58

Publications

3.9K

Citations

310

Authors

159

Institutions

Publications per year

2017–2026

29

Authors

310

  1. KC
    Kai Chen

    Hong Kong University of Science and Technology, Hong Kong SAR China

    2 publications · 1.7K citations

    2

    h-index

  2. WF
    Wansen Feng

    Nanyang Technological University, Singapore

    2 publications · 1.7K citations

    2

    h-index

  3. ÁF
    Álvaro Fernández Casaní

    Instituto de Física Corpuscular, Spain

    2 publications · 41 citations

    2

    h-index

  4. DL
    Dahua Lin

    Chinese University of Hong Kong, Hong Kong SAR China

    2 publications · 1.7K citations

    2

    h-index

  5. YX
    Yu Xiong

    Chinese University of Hong Kong, Hong Kong SAR China

    2 publications · 1.7K citations

    2

    h-index

1–5 of 310

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 223 citations

    3

    h-index

  2. Journal of Physics Conference Series

    2 publications · 41 citations

    2

    h-index

  3. Image and Vision Computing

    1 publications · 33 citations

    1

    h-index

  4. Balisage series on markup technologies

    Conference · 1 publications · 22 citations

    1

    h-index

  5. 1

    h-index

1–5