Author

Biyun Wu

Institutions: Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, University of Göttingen

Observed institutions: Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, State Forestry and Grassland Administration, University of Göttingen

ORCID: 0000-0003-4147-2365

Observed ORCID: 0000-0003-4147-2365

OpenAlex ID: A5002201718

Prediction of tree crown width in natural mixed forests using deep learning algorithm

2023 · Yangping Qin, Biyun Wu, et al. · Forest Ecosystems · 23

Combining multiple feature selection methods and structural equation modelling for exploring factors affecting stand biomass of natural coniferous-broad leaved mixed forests

2024 · Xiao He, Xiangdong Lei, et al. · The Science of The Total Environment · 15

Quantifying the Effects of Stand and Climate Variables on Biomass of Larch Plantations Using Random Forests and National Forest Inventory Data in North and Northeast China

2022 · Xiao He, Xiangdong Lei, et al. · Sustainability · 13

Artificial gaps but not thinning persistently enhance forest structural heterogeneity

2026 · Kerstin Pierick, Roman Mathias Link, et al. · European Journal of Forest Research · 9

Method of Estimating Degraded Forest Area: Cases from Dominant Tree Species from Guangdong and Tibet in China

2020 · Biyun Wu, Xiang Meng, et al. · Forests · 6

Forest site classification and grading using mixed-variables clustering and nonlinear mixed-effects modeling based on forest inventory data

2025 · Biyun Wu, Xiangdong Lei, et al. · Forestry An International Journal of Forest Research

Works count: 6

Citation count: 66

H-index: 5

I10-index: 3