Prediction Online

Prediction Online is a computational framework that enables real-time forecasting of user behavior or system dynamics in digital environments by continuously integrating and analyzing streaming data inputs.

623

Publications

32.2K

Citations

2.2K

Authors

812

Institutions

Publications per year

2017–2026

318

Authors

2.2K

  1. FG
    Furong Gao

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

    8 publications · 368 citations

    8

    h-index

  2. YL
    Yi Liu

    Zhejiang University of Technology, China

    7 publications · 228 citations

    7

    h-index

  3. XG
    Xiaohui Gu

    North Carolina State University, United States

    5 publications · 368 citations

    5

    h-index

  4. ZZ
    Zibin Zheng

    Sun Yat-sen University, China

    5 publications · 244 citations

    5

    h-index

  5. CZ
    Chunhui Zhao

    State Key Laboratory of Industrial Control Technology

    5 publications · 158 citations

    5

    h-index

1–5 of 2.2K

Venues

  1. arXiv (Cornell University)

    Repository · 20 publications · 1.3K citations

    15

    h-index

  2. IEEE Access

    15 publications · 479 citations

    15

    h-index

  3. Industrial & Engineering Chemistry Research

    12 publications · 540 citations

    12

    h-index

  4. IEEE Transactions on Industrial Informatics

    10 publications · 674 citations

    10

    h-index

  5. IEEE Transactions on Power Systems

    10 publications · 649 citations

    10

    h-index

1–5