reviewTop 1% cited
Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review
Journal of Hydrology · 2014 · Vol. 514 · pp. 358–377
Vahid Nourani✉(University of Tabriz)Aida Hosseini Baghanam(University of Tabriz)Jan Adamowski(McGill University)Özgür Kişi(Canik Başarı University)
Hydrological Forecasting Using AIHydrology and Watershed Management StudiesEnergy Load and Power ForecastingComputer scienceWaveletHydrological modellingRobustness (evolution)Artificial intelligenceGeology
Citations
712
FWCI
30.76
field-weighted impact
References
185
Percentile
100%
vs. same field & year
Citations per year
Cited by
A Review of the Artificial Neural Network Models for Water Quality Prediction
Applied Sciences · 2020 · 435 citations
A Brief Review of Random Forests for Water Scientists and Practitioners and Their Recent History in Water Resources
Water · 2019 · 708 citations
Flood Prediction Using Machine Learning Models: Literature Review
Water · 2018 · 1,171 citations
Digital Twin: Values, Challenges and Enablers From a Modeling Perspective
IEEE Access · 2020 · 1,596 citations
References
Genetic Programming: On the Programming of Computers by Means of Natural Selection
Medical Entomology and Zoology · 1992 · 13,258 citations
Artificial neural network modeling of the river water quality—A case study
Ecological Modelling · 2009 · 652 citations
Artificial Neural Network Modeling of the Rainfall‐Runoff Process
Water Resources Research · 1995 · 1,515 citations
River flow forecasting through conceptual models part I — A discussion of principles
Journal of Hydrology · 1970 · 23,740 citations
Evaluating the use of “goodness‐of‐fit” Measures in hydrologic and hydroclimatic model validation
Water Resources Research · 1999 · 4,522 citations
Genetic algorithms in search, optimization, and machine learning
Choice Reviews Online · 1989 · 49,283 citations
Citation Network
How this paper connects to the literature. Drag to explore, click any node to open that paper.