Zhenliang Yin

Identifying separate impacts of climate and land use/cover change on hydrological processes in upper stream of Heihe River, Northwest China

Linshan Yang, Qi Feng, Zhenliang Yin et al. · Hydrological Processes · 2016 · 167 citations

Hydrological Prediction, Engineering, Northwest China +21

Two-phase extreme learning machines integrated with the complete ensemble empirical mode decomposition with adaptive noise algorithm for multi-scale runoff prediction problems

Xiaohu Wen, Qi Feng, Ravinesh C. Deo et al. · Journal of Hydrology · 2019 · 145 citations

Forecasting Methodology, Engineering, Machine Learning +10

Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity

A. A. Masrur Ahmed, Ravinesh C. Deo, Qi Feng et al. · Journal of Hydrology · 2021 · 137 citations

Meteorology, Numerical Weather Prediction, Engineering +9

The role of climate change and vegetation greening on the variation of terrestrial evapotranspiration in northwest China's Qilian Mountains

Linshan Yang, Qi Feng, Jan Adamowski et al. · The Science of The Total Environment · 2020 · 103 citations

Climatology, Engineering, Vegetation Greening +5

Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data

A. A. Masrur Ahmed, Ravinesh C. Deo, Nawin Raj et al. · Remote Sensing · 2021 · 88 citations · Full text

Hybrid Ceemdan-cnn-gru Model, Convolutional Neural Network, Engineering +18