Guangxing Wang
Environmental Engineering · 2000–2017
A researcher in the Science corpus: 6 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Environmental Engineering — 39 citations into it
- Nature and Landscape Conservation — 39 citations into it
- Global and Planetary Change — 18 citations into it
- Media Technology — 5 citations into it
Whom Guangxing Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Guangxing Wang's perspective
Ordered by how strongly the researchers Guangxing Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Random Forests
- Error propagation and scaling for tropical forest biomass estimates. (Philosophical transactions of the Royal Society of London. Series B, Biological sciences)
- Estimation and mapping of forest stand density, volume, and cover type using the k-nearest neighbors method
- Maximum entropy modeling of species geographic distributions
- Effects of uncertainty in model predictions of individual tree volume on large area volume estimates
- Non-parametric and parametric methods using satellite images for estimating growing stock volume in alpine and Mediterranean forest ecosystems
- Predicting categorical forest variables using an improved k-Nearest Neighbour estimator and Landsat imagery
- New developments in museum-based informatics and applications in biodiversity analysis. (Trends in Ecology & Evolution)
- Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation
- Imputation of single-tree attributes using airborne laser scanning-based height, intensity, and alpha shape metrics
Their papers
- A generalized nonlinear mixed-effects height to crown base model for Mongolian oak in northeast China (2017) — 84 citations
- A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems (2016) — 775 citations
- Spatial uncertainty analysis for mapping soil erodibility based on joint sequential simulation (2003) — 110 citations
- Improvement in mapping vegetation cover factor for the universal soil loss equation by geostatistical methods with Landsat Thematic Mapper images (2002) — 157 citations
- Mapping and uncertainty of predictions based on multiple primary variables from joint co-simulation with Landsat TM image and polynomial regression (2002) — 57 citations
- Spatial Prediction and Uncertainty Analysis of Topographic Factors for the Revised Universal Soil Loss Equation (RUSLE) (2000) — 55 citations