Shuang Zhu

Environmental Engineering · with Luo · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Environmental Engineering — 10 citations into it
• Global and Planetary Change — 6 citations into it
• Artificial Intelligence — 5 citations into it
• Electrical and Electronic Engineering — 5 citations into it
• Water Science and Technology — 5 citations into it

Whom Shuang Zhu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ozgur Kisi
2. Stéphane Mallat
3. Vladimir Cherkassky
4. Aman Mohammad Kalteh

Papers from Shuang Zhu's perspective

Ordered by how strongly the researchers Shuang Zhu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Statistical Learning Theory
2. Input determination for neural network models in water resources applications. Part 1—background and methodology
3. A wavelet-support vector machine conjunction model for monthly streamflow forecasting
4. A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
5. Wavelet Regression Model as an Alternative to Neural Networks for River Stage Forecasting
6. Predicting monthly streamflow using data‐driven models coupled with data‐preprocessing techniques
7. A tutorial on support vector regression
8. A general regression neural network
9. STL : A Seasonal-Trend Decomposition Procedure Based on Loess
10. The Nature Of Statistical Learning Theory

Their papers

• A hybrid support vector regression framework for streamflow forecast (2019) — 135 citations