Wen‐Ping Tsai

HESS Opinions: Incubating deep-learning-powered hydrologic science advances as a community

Chaopeng Shen, Eric Laloy, Amin Elshorbagy et al. · Hydrology and earth system sciences · 2018 · 335 citations · Full text

Artificial Intelligence, Dl Models, Hydrological Science +12

From Hydrometeorology to River Water Quality: Can a Deep Learning Model Predict Dissolved Oxygen at the Continental Scale?

Wei Zhi, Dapeng Feng, Wen‐Ping Tsai et al. · Environmental Science & Technology · 2021 · 283 citations · Full text

Hydrometeorology, River Water Quality, Continental Scale +12

Transferring Hydrologic Data Across Continents – Leveraging Data‐Rich Regions to Improve Hydrologic Prediction in Data‐Sparse Regions

Kai Ma, Dapeng Feng, Kathryn Lawson et al. · Water Resources Research · 2021 · 216 citations

Hydrological Prediction, Engineering, Machine Learning +17

Exploring synergistic benefits of Water-Food-Energy Nexus through multi-objective reservoir optimization schemes

Tinn-Shuan Uen, Fi‐John Chang, Yanlai Zhou et al. · The Science of The Total Environment · 2018 · 113 citations

Engineering, Water Resources, Energy Management +10

AI techniques for optimizing multi-objective reservoir operation upon human and riverine ecosystem demands

Wen‐Ping Tsai, Fi‐John Chang, Li‐Chiu Chang et al. · Journal of Hydrology · 2015 · 87 citations

Artificial Intelligence, Engineering, Water Resources +9