Get started
Author

Zhongyi Zhan

Observed names: ZHONGYI ZHAN, Zhan, Zhongyi
ORCID: 0000-0002-1443-573X
Observed ORCID: 0000-0002-1443-573X
OpenAlex ID: A5027910890
Combining GF-2 and Sentinel-2 Images to Detect Tree Mortality Caused by Red Turpentine Beetle during the Early Outbreak Stage in North China
2020 · Zhongyi Zhan, Linfeng Yu, et al. · Forests · 43
PDF
Fusion of UAV Hyperspectral Imaging and LiDAR for the Early Detection of EAB Stress in Ash and a New EAB Detection Index—NDVI(776,678)
2022 · Quan Zhou, Linfeng Yu, et al. · Remote Sensing · 33
Hyperspectral evidence of early-stage pine shoot beetle attack in Yunnan pine
2021 · Yujie Liu, Zhongyi Zhan, et al. · Forest Ecology and Management · 32
Early Detection of Dendroctonus valens Infestation at Tree Level with a Hyperspectral UAV Image
2023 · Bingtao Gao, Linfeng Yu, et al. · Remote Sensing · 29
PDF
Early Detection of Dendroctonus valens Infestation with Machine Learning Algorithms Based on Hyperspectral Reflectance
2022 · Bingtao Gao, Linfeng Yu, et al. · Remote Sensing · 20
PDF
Evaluating the Potential of WorldView-3 Data to Classify Different Shoot Damage Ratios of Pinus yunnanensis
2020 · Linfeng Yu, Zhongyi Zhan, et al. · Forests · 17
PDF
Impact of stand‐ and landscape‐level variables on pine wilt disease‐caused tree mortality in pine forests
2023 · Linfeng Yu, Zhongyi Zhan, et al. · Pest Management Science · 14
Effects of stand and landscape level variables on shoot damage ratios caused by shoot beetles in Southwest China
2022 · Linfeng Yu, Zhongyi Zhan, et al. · Forest Ecology and Management · 10
Infestation patterns of incipient red turpentine beetle populations in fire-affected, logged and undisturbed forest stands of northern China
2022 · Zhongyi Zhan, Linfeng Yu, et al. · Forest Ecology and Management · 7
Climate Drivers of Pine Shoot Beetle Outbreak Dynamics in Southwest China
2022 · Linfeng Yu, Zhongyi Zhan, et al. · Remote Sensing · 7
PDF
Monitoring Pine Shoot Beetle Damage Using UAV Imagery and Deep Learning Semantic Segmentation Under Different Forest Backgrounds
2025 · Lixia Wang, Yang Gao, et al. · Forests · 5
PDF
The association between stand and landscape level factors and red turpentine beetle damage in different infestation stages
2023 · Zhongyi Zhan, Linfeng Yu, et al. · Forest Ecology and Management · 5
Molecular phylogeny and morphology reveal a new wood-inhabiting fungus, Hyphoderma cinereofuscum (Polyporales, Basidiomycota), from southwest China
2025 · WEN LI, XIYAN WANG, et al. · Phytotaxa · 4
The Relationship between Landscape Patterns and Populations of Asian Longhorned Beetles
2022 · Chao Yang, Zhongyi Zhan, et al. · Forests · 4
PDF
Integrative Transcriptome and Metabolome Analysis Reveals Candidate Genes Related to Terpenoid Synthesis in Amylostereum areolatum (Russulales: Amylostereaceae)
2025 · Lixia Wang, Ningning Fu, et al. · Journal of Fungi · 3
PDF
Molecular phylogeny and morphology reveal a new species of Gloeocystidiellum (Stereaceae, Russulales) from Southwestern China
2025 · YAJUAN ZHU, JUNHONG DONG, et al. · Phytotaxa · 2
PDF
Early detection of pine shoot beetle infestations using UAV multispectral data: The YOLOv11n-SAGE framework
2026 · Mingbo Chen, Lihui Zhong, et al. · Smart Agricultural Technology
PDF
Tree- and stand-level factors associated with red turpentine beetle (Coleoptera: Curculionidae) damage in Chinese pine across infestation stages
2026 · Shiting Han, Sangzi Ze, et al. · Journal of Economic Entomology
Oblique UAV RGB Imagery Improves Rapid Detection of Wilt-Affected Pine Crowns with YOLO11
2026 · Yujie Liu, Jinde Ji, et al. · Forests
Early detection of pine shoot beetle infestation in Yunnan pine forests through UAV-based multispectral and thermal data integration
2026 · Shiting Han, Sangzi Ze, et al. · Frontiers in Forests and Global Change
PDF
FIGURE 4 in Molecular phylogeny and morphology reveal a new species of Gloeocystidiellum (Stereaceae, Russulales) from Southwestern China
2025 · Zhu, Yajuan, Dong, Junhong, et al. · Zenodo (CERN European Organization for Nuclear Research)
FIGURE 3 in Molecular phylogeny and morphology reveal a new species of Gloeocystidiellum (Stereaceae, Russulales) from Southwestern China
2025 · Zhu, Yajuan, Dong, Junhong, et al. · Zenodo (CERN European Organization for Nuclear Research)
FIGURE 5 in Molecular phylogeny and morphology reveal a new species of Gloeocystidiellum (Stereaceae, Russulales) from Southwestern China
2025 · Zhu, Yajuan, Dong, Junhong, et al. · Zenodo (CERN European Organization for Nuclear Research)
FIGURE 1 in Molecular phylogeny and morphology reveal a new species of Gloeocystidiellum (Stereaceae, Russulales) from Southwestern China
2025 · Zhu, Yajuan, Dong, Junhong, et al. · Zenodo (CERN European Organization for Nuclear Research)
FIGURE 2 in Molecular phylogeny and morphology reveal a new species of Gloeocystidiellum (Stereaceae, Russulales) from Southwestern China
2025 · Zhu, Yajuan, Dong, Junhong, et al. · Zenodo (CERN European Organization for Nuclear Research)
Works count: 31
Citation count: 235
H-index: 8
I10-index: 8
Year
Topic
Type