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
Parents
143
Forecasting daily streamflow using hybrid ANN models
Wen Wang, Pieter van Gelder, J.K. Vrijling et al. · Journal of Hydrology · 2005 · 285 citations
Natural Resources, Hydrology, Water Resources Management +12
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300

Chinese Academy of Sciences
Beijing, China
8 h-index
21 publications
1.3K citations
University of Malaya
Kuala Lumpur, Malaysia
6 h-index
6 publications
587 citations

Ilia State University
Tbilisi, Georgia
5 h-index
5 publications
402 citations

University of Southern Queensland
Toowoomba, Australia
5 h-index
8 publications
1.1K citations

Huazhong University of Science and Technology
Wuhan, China
5 h-index
9 publications
595 citations

Hohai University
Nanjing, China
5 h-index
17 publications
1.3K citations

Obuda University
Budapest, Hungary
5 h-index
5 publications
215 citations

National University of Malaysia
Bangi, Malaysia
5 h-index
8 publications
1.2K citations
1–8 of 300
22 publications · 2.9K citations
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12 publications · 503 citations
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10 publications · 592 citations
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10 publications · 675 citations
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10 publications · 487 citations
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