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Yangping Qin
Institutions:
Institute of Forest Resource Information Techniques,
Chinese Academy of Forestry
Observed institutions:
Institute of Forest Resource Information Techniques,
Chinese Academy of Forestry
ORCID:
0000-0002-3341-2269
Observed ORCID:
0000-0002-3341-2269
OpenAlex ID:
A5009175508
Tree size inequality and competition effects on nonlinear mixed effects crown width model for natural spruce-fir-broadleaf mixed forest in northeast China
2022
·
Yangping Qin
, Xiao He
, et al.
·
Forest Ecology and Management
·
31
Prediction of tree crown width in natural mixed forests using deep learning algorithm
2023
·
Yangping Qin
, Biyun Wu
, et al.
·
Forest Ecosystems
·
23
Assessing the impact of climate change on the potential distribution of Keteleeria evelyniana Mast. in southwest China: a Maxent modeling approach
2025
·
Yuan Feng
, Guanghui Dai
, et al.
·
Frontiers in Plant Science
·
7
PDF
Plant functional traits and tree size inequality improved individual tree height prediction of mid-montane humid evergreen broad-leaved forests in southwest China
2023
·
Yuan Feng
, Yong Chai
, et al.
·
Forest Ecology and Management
·
5
National growth models for stand basal area, volume, and biomass in Chinese larch plantations: integrating stand structure and species effects
2025
·
Yangping Qin
, Xiao He
, et al.
·
Trees Forests and People
·
4
Accuracy and biological plausibility of a machine learning-based transition matrix growth model for long-term mixed forest projections under climate change
2026
·
Xue Du
, Xiangdong Lei
, et al.
·
Journal of Forestry Research
·
2
Species-specific mediation of stand structural diversity on climatic effects on productivity in Larix plantations across China
2026
·
Hongchao Huang
, Xiangdong Lei
, et al.
·
Forest Ecology and Management
A multi-metaheuristic optimization model for estimating potential productivity in larch plantations through joint optimization of stand density and structure
2026
·
Yangping Qin
, Yuan Feng
, et al.
·
SSRN Electronic Journal
An optimization planting approach aiming at maximizing the growth of Korean pine (Pinus koraiensis Sieb. Et Zucc.) saplings based on computer simulations technology
2025
·
Di Liu
, Xiao He
, et al.
·
Computers and Electronics in Agriculture
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
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Works count:
10
Citation count:
72
H-index:
4
I10-index:
2
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