Guoqi Chai

417 total citations
23 papers, 284 citations indexed

About

Guoqi Chai is a scholar working on Ecology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Guoqi Chai has authored 23 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Ecology, 15 papers in Environmental Engineering and 10 papers in Global and Planetary Change. Recurrent topics in Guoqi Chai's work include Remote Sensing and LiDAR Applications (15 papers), Remote Sensing in Agriculture (13 papers) and Land Use and Ecosystem Services (6 papers). Guoqi Chai is often cited by papers focused on Remote Sensing and LiDAR Applications (15 papers), Remote Sensing in Agriculture (13 papers) and Land Use and Ecosystem Services (6 papers). Guoqi Chai collaborates with scholars based in China. Guoqi Chai's co-authors include Xiaoli Zhang, Yueting Wang, Jingpu Wang, Mengquan Wu, Guangzhen Wang, Yingbo Li, Xueyong Zou, Jianfeng Sun, Ying Zhang and Erxue Chen and has published in prestigious journals such as Remote Sensing of Environment, Journal of Environmental Management and International Journal of Remote Sensing.

In The Last Decade

Guoqi Chai

22 papers receiving 278 citations

Peers

Guoqi Chai

ECOLO

GPC

NLC

Carla Luciane Lima Brazil

Lili Lin China

Maximo Larry Lopez Caceres Japan

Mir Mustafizur Rahman Canada

Wangfei Zhang China

Jean‐Daniel Sylvain Canada

Shijuan Chen United States

Joseph McGlinchy United States

Markéta Potůčková Czechia

Marie-Laure Trémélo France

Carla Luciane Lima Brazil

Guoqi Chai

189 ×1.1

ECOLO

157 ×1.0

72 ×0.7

GPC

71 ×1.3

NLC

17 ×0.5

Citations per year, relative to Guoqi Chai Guoqi Chai (= 1×) peers Carla Luciane Lima

Countries citing papers authored by Guoqi Chai

Since Specialization

Citations

This map shows the geographic impact of Guoqi Chai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Guoqi Chai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guoqi Chai more than expected).

Fields of papers citing papers by Guoqi Chai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guoqi Chai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Guoqi Chai. The network helps show where Guoqi Chai may publish in the future.

Co-authorship network of co-authors of Guoqi Chai

This figure shows the co-authorship network connecting the top 25 collaborators of Guoqi Chai. A scholar is included among the top collaborators of Guoqi Chai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guoqi Chai. Guoqi Chai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Chai, Guoqi, et al.. (2025). Monitoring Forest Damage Caused by Pine Wilt Disease with Remote Sensing Technologies: A review. IEEE Geoscience and Remote Sensing Magazine. 14(1). 286–305.

Chai, Guoqi, et al.. (2024). Assessing global pine wilt disease risk based on ensemble species distribution models. Ecological Indicators. 167. 112691–112691. 2 indexed citations

Chai, Guoqi, et al.. (2024). A novel self-similarity cluster grouping approach for individual tree crown segmentation using multi-features from UAV-based LiDAR and multi-angle photogrammetry data. Remote Sensing of Environment. 318. 114588–114588. 1 indexed citations

Wang, Geng, et al.. (2024). A novel BH3DNet method for identifying pine wilt disease in Masson pine fusing UAS hyperspectral imagery and LiDAR data. International Journal of Applied Earth Observation and Geoinformation. 134. 104177–104177. 5 indexed citations

Wang, Yueting, Xiaoli Zhang, Guoqi Chai, et al.. (2024). Tracking Forest Disturbance in Northeast China’s Cold-Temperate Forests Using a Temporal Sequence of Landsat Data. Remote Sensing. 16(17). 3238–3238. 7 indexed citations

Chai, Guoqi, et al.. (2024). SA-Pmnet: Utilizing Close-Range Photogrammetry Combined with Image Enhancement and Self-Attention Mechanisms for 3D Reconstruction of Forests. Remote Sensing. 16(2). 416–416. 8 indexed citations

Chai, Guoqi, et al.. (2023). A novel solution for extracting individual tree crown parameters in high-density plantation considering inter-tree growth competition using terrestrial close-range scanning and photogrammetry technology. Computers and Electronics in Agriculture. 209. 107849–107849. 7 indexed citations

Chai, Guoqi, et al.. (2023). Individual Tree Species Identification and Crown Parameters Extraction Based on Mask R-CNN: Assessing the Applicability of Unmanned Aerial Vehicle Optical Images. Remote Sensing. 15(21). 5164–5164. 6 indexed citations

Sun, Jianfeng, et al.. (2023). Assessment of suitable areas for afforestation and its carbon sink value in fragile ecological areas of northern China. Journal of Environmental Management. 348. 119401–119401. 7 indexed citations

10.

Li, Caixia, Guoqi Chai, Zhiyuan Li, et al.. (2023). Spatial−temporal variation of ecological environment quality and driving factors from 2000 to 2020 in Wuliangsu Lake Basin, Northern China. Frontiers in Ecology and Evolution. 11. 6 indexed citations

11.

Wang, Yueting, et al.. (2023). Improved estimation of aboveground biomass of regional coniferous forests integrating UAV-LiDAR strip data, Sentinel-1 and Sentinel-2 imageries. Plant Methods. 19(1). 65–65. 9 indexed citations

12.

Chai, Guoqi, et al.. (2022). Above-Ground Biomass Estimation of Plantation with Different Tree Species Using Airborne LiDAR and Hyperspectral Data. Remote Sensing. 14(11). 2568–2568. 27 indexed citations

13.

Wang, Jingpu, et al.. (2022). Diverse responses of vegetation phenology to changes in temperature and precipitation in Northern China. Geocarto International. 37(26). 12561–12579. 4 indexed citations

14.

Sun, Jianfeng, et al.. (2022). Estimation and Simulation of Forest Carbon Stock in Northeast China Forestry Based on Future Climate Change and LUCC. Remote Sensing. 14(15). 3653–3653. 28 indexed citations

15.

Chai, Guoqi, et al.. (2022). A novel algorithm of individual tree crowns segmentation considering three-dimensional canopy attributes using UAV oblique photos. International Journal of Applied Earth Observation and Geoinformation. 112. 102893–102893. 16 indexed citations

16.

Chai, Guoqi, et al.. (2021). A New CBAM-P-Net Model for Few-Shot Forest Species Classification Using Airborne Hyperspectral Images. Remote Sensing. 13(7). 1269–1269. 26 indexed citations

17.

Chai, Guoqi, et al.. (2020). Mapping the fractional cover of non-photosynthetic vegetation and its spatiotemporal variations in the Xilingol grassland using MODIS imagery (2000−2019). Geocarto International. 37(7). 1863–1879. 6 indexed citations

18.

Chai, Guoqi, et al.. (2019). Estimation of fractional cover of non-photosynthetic vegetation in typical steppe based on MODIS data. Guotu ziyuan yaogan. 31(3). 234–241. 1 indexed citations

19.

Chai, Guoqi, et al.. (2019). Estimating fractional cover of non-photosynthetic vegetation in a typical grassland area of northern China based on Moderate Resolution Imaging Spectroradiometer (MODIS) image data. International Journal of Remote Sensing. 40(23). 8793–8810. 9 indexed citations

20.

Wang, Guangzhen, et al.. (2018). Estimating the fractional cover of photosynthetic vegetation, non-photosynthetic vegetation and bare soil from MODIS data: Assessing the applicability of the NDVI-DFI model in the typical Xilingol grasslands. International Journal of Applied Earth Observation and Geoinformation. 76. 154–166. 58 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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