Yongqian Liu

Computational Mechanics · 2011–2021

A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 24 citations into it
• Environmental Engineering — 24 citations into it
• Aerospace Engineering — 22 citations into it

Whom Yongqian Liu trusts overall

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

1. Radford M. Neal

Papers from Yongqian Liu's perspective

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

1. Pattern Recognition and Machine Learning
2. Support Vector Regression Machines
3. Numerical Modeling of Wind Turbine Wakes
4. A Wind-Tunnel Investigation of Wind-Turbine Wakes: Boundary-Layer Turbulence Effects
5. Stability of helical tip vortices in a rotor far wake (Journal of Fluid Mechanics)
6. Turbulent Flows
7. An experimental and numerical study of the vortex structure in the wake of a wind turbine
8. Effects of Thermal Stability and Incoming Boundary-Layer Flow Characteristics on Wind-Turbine Wakes: A Wind-Tunnel Study
9. Large-Eddy Simulation of Wind-Turbine Wakes: Evaluation of Turbine Parametrisations
10. Learning and relearning in Boltzmann machines

Their papers

• Forecasting Power Output of Photovoltaic Systems Based on Weather Classification and Support Vector Machines (2011) — 767 citations
• Formulas of the optimized yaw angles for cooperative control of wind farms with aligned turbines to maximize the power production (2021) — 54 citations
• A two-dimensional Jensen model with a Gaussian-shaped velocity deficit (2019) — 70 citations
• Short-term forecasting and uncertainty analysis of wind turbine power based on long short-term memory network and Gaussian mixture model (2019) — 356 citations