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Shien-tsung Chen

Associate Professor

  • 800 Citations
  • 12 h-Index
20002019
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Personal profile

Education

  • 2006 Ph.D. in Hydraulic Engineering, NCKU
  • 1998 M.Sc. in Hydraulic Engineering, NCKU
  • 1996 B.Sc. in Hydraulic Engineering, NCKU

Experience

  • Associate Professor, Dept. of Hydraulic and Ocean Engineering, NCKU
  • Professor, Dept. of Water Resources Engineering and Conservation, FCU
  • Associate Professor, Dept. of Water Resources Engineering and Conservation, FCU
  • Assistant Professor, Dept. of Water Resources Engineering and Conservation, FCU
  • Assistant Researcher, Dept. of Hydraulic and Ocean Engineering, NCKU
  • Postdoctoral Fellow, Dept. of Hydraulic and Ocean Engineering, NCKU
  • Associate Engineer, Coastal Ocean Monitoring Center, NCKU
  • Second Lieutenant, Republic of China Air Force

Research Interests

  • Hydrology
  • Hydroinformatics
  • Climate Change
  • Real-time Forecasting

Fingerprint Dive into the research topics where Shien-tsung Chen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 16 Similar Profiles
typhoon Earth & Environmental Sciences
rainfall Earth & Environmental Sciences
Rain Engineering & Materials Science
flood forecasting Earth & Environmental Sciences
Drought Engineering & Materials Science
Watersheds Engineering & Materials Science
Climate change Engineering & Materials Science
watershed Earth & Environmental Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2000 2019

  • 800 Citations
  • 12 h-Index
  • 34 Article
  • 2 Conference contribution
  • 1 Paper
1 Citation (Scopus)

Fuzzy time series for real-time flood forecasting

Chen, C. S., Jhong, Y. D., Wu, W. Z. & Chen, S. T., 2019 Mar 1, In : Stochastic Environmental Research and Risk Assessment. 33, 3, p. 645-656 12 p.

Research output: Contribution to journal › Article

flood forecasting
Time series
time series
typhoon
Time series analysis

Probabilistic forecasting of coastal wave height during typhoon warning period using machine learning methods

Chen, S. T., 2019 Mar, In : Journal of Hydroinformatics. 21, 2, p. 343-358 16 p.

Research output: Contribution to journal › Article

Open Access
typhoon
wave height
Learning systems
forecasting method
Fuzzy inference
4 Citations (Scopus)

Input uncertainty on watershed modeling: Evaluation of precipitation and air temperature data by latent variables using SWAT

Yen, H., Wang, R., Feng, Q., Young, C. C., Chen, S. T., Tseng, W. H., Wolfe, J. E., White, M. J. & Arnold, J. G., 2018 Oct 15, In : Ecological Engineering. 122, p. 16-26 11 p.

Research output: Contribution to journal › Article

Watersheds
air temperature
watershed
Soils
Air
6 Citations (Scopus)

Physical hybrid neural network model to forecast typhoon floods

Jhong, Y. D., Chen, C. S., Lin, H. P. & Chen, S. T., 2018 May 13, In : Water (Switzerland). 10, 5, 632.

Research output: Contribution to journal › Article

Open Access
Cyclonic Storms
Neural Networks (Computer)
typhoon
neural network
neural networks
12 Citations (Scopus)

Assessment of optional sediment transport functions via the complex watershed simulation model SWAT

Yen, H., Lu, S., Feng, Q., Wang, R., Gao, J., Brady, D. M., Sharifi, A., Ahn, J., Chen, S. T., Jeong, J., White, M. J. & Arnold, J. G., 2017 Jan 1, In : Water (Switzerland). 9, 2, 76.

Research output: Contribution to journal › Article

Open Access
Sediment transport
sediment transport
hydrologic models
Watersheds
simulation model