Yan Li

Environmental Engineering · with Chau · 2005–2009

A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Environmental Engineering — 21 citations into it; #2,216 of 5,479 by trust here, #1,975 by citations
• Water Science and Technology — 16 citations into it; #523 of 1,711 by trust here, #688 by citations
• Global and Planetary Change — 12 citations into it
• Artificial Intelligence — 8 citations into it
• Electrical and Electronic Engineering — 5 citations into it

Whom Yan Li trusts overall

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

1. Ozgur Kisi
2. Wen Wang
3. Dimitri P. Solomatine
4. Chun-tian Cheng
5. Stéphane Mallat
6. Mehmet Emre Cek
7. Vojislav Kecman
8. P. Gelder

Who trusts Yan Li overall

1. Ozgur Kisi
2. Jürgen Geiser
3. Yaoyao He
4. Jan Adamowski
5. Kwok-Wing Chau
6. Vahid Nourani
7. Ravinesh C. Deo

Papers from Yan Li's perspective

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

1. M5 Model Trees and Neural Networks: Application to Flood Forecasting in the Upper Reach of the Huai River in China
2. Support vector regression for real-time flood stage forecasting
3. Input determination for neural network models in water resources applications. Part 1—background and methodology
4. A data‐driven algorithm for constructing artificial neural network rainfall‐runoff models
5. Analysis of observed chaotic data
6. River flow forecasting: use of phase-space reconstruction and artificial neural networks approaches
7. Data-driven modelling: some past experiences and new approaches
8. Nonlinear Time Series Analysis
9. A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
10. Singular spectrum analysis and forecasting of hydrological time series

Their papers

• Predicting monthly streamflow using data‐driven models coupled with data‐preprocessing techniques (2009) — 414 citations
• Methods to improve neural network performance in daily flows prediction (2009) — 310 citations
• Comparison of Several Flood Forecasting Models in Yangtze River (2005) — 339 citations