articleTop 1% cited
Flood hazard risk assessment model based on random forest
Journal of Hydrology · 2015 · Vol. 527 · pp. 1130–1141
Zhaoli Wang(South China University of Technology)Chengguang Lai✉(South China University of Technology)Xiaohong Chen(Sun Yat-sen University)Bing Yang(Sun Yat-sen University)Shiwei Zhao(South China University of Technology)Xiaoyan Bai(Guangdong University of Technology)
Flood Risk Assessment and ManagementHydrology and Watershed Management StudiesLandslides and related hazardsRandom forestFlood mythRisk assessmentHazardFlooding (psychology)Index (typography)Flood risk assessmentTopographic Wetness IndexEnvironmental scienceStatistics
Funding
- National Natural Science Foundation of China
- Ministry of Water Resources
- Fundamental Research Funds for the Central Universities
Citations
797
FWCI
19.60
field-weighted impact
References
60
Percentile
100%
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Citations per year
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References
Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS
Journal of Hydrology · 2013 · 824 citations
Tree Species Classification with Random Forest Using Very High Spatial Resolution 8-Band WorldView-2 Satellite Data
Remote Sensing · 2012 · 750 citations
Random forests for genomic data analysis
Genomics · 2012 · 954 citations
A compilation of data on European flash floods
Journal of Hydrology · 2009 · 855 citations
Support-Vector Networks
Machine Learning · 1995 · 32,108 citations
Future flood losses in major coastal cities
Nature Climate Change · 2013 · 2,455 citations
Random Forests
Machine Learning · 2001 · 121,242 citations
Support-vector networks
Machine Learning · 1995 · 39,987 citations
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