Hybrid Streamflow Modeling

Hybrid Streamflow Modeling is a streamflow forecasting methodology that integrates physically-based hydrological models with data-driven machine learning techniques to leverage the strengths of both mechanistic representation and empirical pattern recognition in predicting streamflow dynamics.

143

Publications

8.8K

Citations

518

Authors

300

Institutions

Publications per year

2017–2026

110

Authors

518

  1. ZM
    Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬

    Ton Duc Thang University, Vietnam

    8 publications · 927 citations

    8

    h-index

  2. AE
    Ahmed El‐Shafie

    University of Malaya, Malaysia

    6 publications · 587 citations

    6

    h-index

  3. AM
    Amir Mosavi

    Obuda University, Hungary

    5 publications · 215 citations

    5

    h-index

  4. ÖK
    Özgür Kişi

    Ilia State University, Georgia

    5 publications · 402 citations

    5

    h-index

  5. HÇ
    Hüseyin Çağan Kılınç

    Istanbul Aydın University, Türkiye

    4 publications · 212 citations

    4

    h-index

1–5 of 518

Venues

  1. Journal of Hydrology

    22 publications · 2.9K citations

    21

    h-index

  2. Water

    12 publications · 503 citations

    12

    h-index

  3. Water Resources Management

    10 publications · 592 citations

    10

    h-index

  4. Water Resources Research

    10 publications · 675 citations

    10

    h-index

  5. Hydrological Sciences Journal

    10 publications · 487 citations

    10

    h-index

1–5