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Xiong Yin
Observed name:
Yin Xiong
Institution:
Nanjing Forestry University
Observed institutions:
Chinese Academy of Tropical Agricultural Sciences,
East China Jiaotong University,
Nanjing Forestry University,
Southwest Forestry University,
Rubber Research Institute,
Renmin University of China
show all 6
ORCID:
0000-0001-8141-9783
Observed ORCID:
0000-0001-8141-9783
OpenAlex ID:
A5086633407
Standards of ecological compensation for traditional eco-agriculture: Taking rice-fish system in Hani terrace as an example
2014
·
Mou-cheng Liu
, Yin Xiong
, et al.
·
Journal of Mountain Science
·
74
Dry season temperature and rainy season precipitation significantly affect the spatio-temporal pattern of rubber plantation phenology in Yunnan province
2023
·
Hongyan Lai
, Bangqian Chen
, et al.
·
Frontiers in Plant Science
·
20
PDF
Estimation of the Value of Forest Ecosystem Services in Pudacuo National Park, China
2022
·
Yue Chen
, Weili Kou
, et al.
·
Sustainability
·
18
PDF
Tropical Forest Disturbance Monitoring Based on Multi-Source Time Series Satellite Images and the LandTrendr Algorithm
2022
·
Xiong Yin
, Weili Kou
, et al.
·
Forests
·
13
PDF
LSTM neural network integrating remote sensing and meteorological data reveals forest fire risk trajectories in China over the past 100 years
2025
·
Xiong Yin
, Mengqi Bai
, et al.
·
Agricultural and Forest Meteorology
·
6
Utilizing Multi-Source Data and Cloud Computing Platform to Map Short-Rotation Eucalyptus Plantations Distribution and Stand Age in Hainan Island
2024
·
Xiong Yin
, Mingshi Li
, et al.
·
Forests
·
6
PDF
Mapping Burned Forest Areas in Western Yunnan, China, Using Multi-Source Optical Imagery Integrated with Simple Non-Iterative Clustering Segmentation and Random Forest Algorithms in Google Earth Engine
2025
·
Yue Chen
, Weili Kou
, et al.
·
Remote Sensing
·
5
Hybrid Deep Learning–Geostatistical Mapping of Forest Aboveground Biomass in Lishui, China
2026
·
Rui Qian
, Qilin Zhang
, et al.
·
Plants
·
4
PDF
Spatial Distribution Pattern of Forests in Yunnan Province in 2022: Analysis Based on Multi-Source Remote Sensing Data and Machine Learning
2025
·
Guangyang Li
, Hongyan Lai
, et al.
·
Remote Sensing
·
4
Unraveling the Spatiotemporal Dynamics of Rubber Phenology in Hainan Island, China: A Multi-Sensor Remote Sensing and Climate Drivers Analysis
2025
·
Hongyan Lai
, Bangqian Chen
, et al.
·
Remote Sensing
·
3
Regional Forest Wildfire Mapping Through Integration of Sentinel-2 and Landsat 8 Data in Google Earth Engine with Semi-Automatic Training Sample Generation
2025
·
Yue Chen
, Weili Kou
, et al.
·
Remote Sensing
·
2
Attributing long-term forest disturbance events across the northeast forest region of China by analyzing Landsat time-series observations with machine learning (1986–2023)
2025
·
Xiong Yin
, Mengqi Bai
, et al.
·
Ecological Indicators
·
2
Dynamic spatio-temporal graph convolutional networks with multi-scale dilated fusion attention for human motion prediction
2025
·
Daojin Yao
, Zichen Yang
, et al.
·
Neurocomputing
·
1
Corrigendum to “Long-term multi-source remote sensing reveals region-specific driving mechanisms of forest fire spatiotemporal patterns across floristic sub-regions in mountainous Yunnan, China” [Ecol. Indic. 189 (2026) 115239]
2026
·
Yue Chen
, Weili Kou
, et al.
·
Ecological Indicators
PDF
Phenology-driven hierarchical framework for grass species classification in coastal wetlands based on Sentinel-1/2 imagery: A case study of the Jiangsu Coast, Eastern China
2026
·
Mengqi Bai
, Xiong Yin
, et al.
·
International Journal of Applied Earth Observation and Geoinformation
Quantifying gradual forest change from a harmonic analysis of dense Landsat time series stacks - a case study of Dali Bai Autonomous Prefecture
2026
·
Xiong Yin
, Ning Ding
, et al.
·
Ecological Indicators
An integrated land-sea framework for assessing coastal wetland ecological quality and the impact of Spartina alterniflora expansion: A case study from the eastern coast of China
2026
·
Jingyi Wang
, Haidong Wang
, et al.
·
Ecological Indicators
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Works count:
17
Citation count:
158
H-index:
6
I10-index:
4
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