Feature-based Forecasting

Feature-Based Forecasting is a short-range forecasting method that leverages identifiable spatiotemporal patterns or diagnostic variables—rather than raw data or black-box representations—as the primary inputs to predict imminent atmospheric or environmental changes.

344

Publications

16.1K

Citations

1.2K

Authors

469

Institutions

Publications per year

2017–2026

265

Authors

1.2K

  1. JW
    Jianzhou Wang

    Dongbei University of Finance and Economics, China

    5 publications · 293 citations

    5

    h-index

  2. NG
    Noradin Ghadimi

    Islamic Azad University Ardabil, Iran

    4 publications · 566 citations

    4

    h-index

  3. JW
    Jujie Wang

    Nanjing University of Information Science and Technology, China

    4 publications · 278 citations

    4

    h-index

  4. NA
    Nima Amjady

    Semnan University, Iran

    4 publications · 560 citations

    4

    h-index

  5. ZM
    Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬

    Ton Duc Thang University, Vietnam

    4 publications · 157 citations

    4

    h-index

1–5 of 1.2K

Venues

  1. IEEE Access

    17 publications · 758 citations

    14

    h-index

  2. Expert Systems with Applications

    13 publications · 1.3K citations

    13

    h-index

  3. Energies

    12 publications · 475 citations

    12

    h-index

  4. Energy

    9 publications · 1K citations

    8

    h-index

  5. International Journal of Forecasting

    7 publications · 525 citations

    7

    h-index

1–5