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Yu Huang

Researcher at Chinese Academy of Sciences

Publications -  1798
Citations -  114451

Yu Huang is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 136, co-authored 1492 publications receiving 89209 citations. Previous affiliations of Yu Huang include The Chinese University of Hong Kong & Samsung.

Papers
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Numerical analysis of welding deformation and residual stress in marine propeller nozzle with hybrid laser-arc girth welds

TL;DR: In this article, the deformation and residual stress of a large marine propeller nozzle in hybrid laser-arc girth welding were analyzed by thermal-elastic-plastic finite element method and verified by experiment.
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A chromosome-level genome assembly of the striped catfish (Pangasianodon hypophthalmus).

TL;DR: In this paper, a high-quality genome assembly of the striped catfish was generated by integration of Illumina short reads, Nanopore long reads and Hi-C data, which provided a valuable genetic resource for biomedical studies on the high-fat trait, and lays a solid foundation for practical aquaculture and molecular breeding of this international teleost species.
Patent

Method and apparatus for detecting objects of interest in soccer video by color

TL;DR: In this article, a shape analysis-based approach was proposed to identify the players and the ball from roughly extracted foregrounds obtained by color segmentation and connected component analysis, by performing a Euclidean distance transform to extract skeletons for every foreground blob, by removing false alarms (non-players and non-ball), and then by performing skeleton pruning and a reverse Euclideane distance transform, which cut off the artifacts primarily caused by playing field lines.
Journal ArticleDOI

Uncertainties in estimating regional methane emissions from rice paddies due to data scarcity in the modeling approach

TL;DR: In this paper, the authors discussed how data scarcity affected the uncertainties in model estimations of rice paddy methane emissions, from county/provincial scale up to national scale, with a local-scale model and the Monte Carlo simulation.