Xiaobin Guan

7.2k total citations · 1 hit paper
46 papers, 1.0k citations indexed

About

Xiaobin Guan is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Xiaobin Guan has authored 46 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Ecology, 24 papers in Global and Planetary Change and 17 papers in Environmental Engineering. Recurrent topics in Xiaobin Guan's work include Remote Sensing in Agriculture (26 papers), Plant Water Relations and Carbon Dynamics (13 papers) and Land Use and Ecosystem Services (9 papers). Xiaobin Guan is often cited by papers focused on Remote Sensing in Agriculture (26 papers), Plant Water Relations and Carbon Dynamics (13 papers) and Land Use and Ecosystem Services (9 papers). Xiaobin Guan collaborates with scholars based in China, Canada and United States. Xiaobin Guan's co-authors include Huanfeng Shen, Xinghua Li, Liangpei Zhang, Jing M. Chen, Yinghong Jing, Wenxia Gan, Shuang Li, Liang Xu, Ruitao Feng and Jie Li and has published in prestigious journals such as The Science of The Total Environment, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Xiaobin Guan

41 papers receiving 1.0k citations

Hit Papers

High-quality vegetation index product generation: A revie... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiaobin Guan China 16 543 513 302 235 161 46 1.0k
Dominique Fasbender Italy 17 369 0.7× 395 0.8× 352 1.2× 146 0.6× 292 1.8× 34 1.1k
M. Joseph Hughes United States 6 706 1.3× 791 1.5× 439 1.5× 247 1.1× 230 1.4× 8 1.3k
Koreen Millard Canada 19 551 1.0× 668 1.3× 445 1.5× 238 1.0× 131 0.8× 32 1.3k
Junmei Tang United States 18 535 1.0× 306 0.6× 280 0.9× 216 0.9× 154 1.0× 43 974
Hongchang He China 21 413 0.8× 523 1.0× 287 1.0× 288 1.2× 142 0.9× 67 1.2k
Kinh Bac Dang Vietnam 16 396 0.7× 256 0.5× 183 0.6× 100 0.4× 93 0.6× 42 925
Steve Foga United States 4 469 0.9× 533 1.0× 243 0.8× 219 0.9× 194 1.2× 6 919
André Hollstein Germany 8 512 0.9× 421 0.8× 208 0.7× 287 1.2× 168 1.0× 18 890
W. Bijker Netherlands 23 495 0.9× 629 1.2× 507 1.7× 282 1.2× 401 2.5× 67 1.4k
Sherrie Wang United States 13 317 0.6× 538 1.0× 259 0.9× 218 0.9× 195 1.2× 31 1.1k

Countries citing papers authored by Xiaobin Guan

Since Specialization
Citations

This map shows the geographic impact of Xiaobin Guan'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 Xiaobin Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaobin Guan more than expected).

Fields of papers citing papers by Xiaobin Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaobin Guan. 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 Xiaobin Guan. The network helps show where Xiaobin Guan may publish in the future.

Co-authorship network of co-authors of Xiaobin Guan

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaobin Guan. A scholar is included among the top collaborators of Xiaobin Guan 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 Xiaobin Guan. Xiaobin Guan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Guan, Xiaobin, et al.. (2025). GPP estimation by transfer learning with combined solar-induced chlorophyll fluorescence and eddy covariance data. International Journal of Applied Earth Observation and Geoinformation. 139. 104503–104503.
2.
Guan, Xiaobin, et al.. (2025). A process model-guided transfer learning framework for mapping global gross primary production. Agricultural and Forest Meteorology. 372. 110678–110678.
5.
Jiang, Menghui, et al.. (2024). Efficient and Effective NDVI Time-Series Reconstruction by Combining Deep Learning and Tensor Completion. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 191–205. 2 indexed citations
6.
Guan, Xiaobin, et al.. (2024). Long-term (2000–2020) global 0.05° continuous atmospheric carbon dioxide mapping combining OCO-2 observations and model simulations. The Science of The Total Environment. 957. 177051–177051. 3 indexed citations
7.
Zhang, Yao, et al.. (2024). An adaptive spatiotemporal tensor reconstruction method for GIMMS-3g+ NDVI. Remote Sensing of Environment. 316. 114511–114511. 5 indexed citations
8.
Chen, Jing M., et al.. (2023). A Practical Algorithm for Correcting Topographical Effects on Global GPP Products. Journal of Geophysical Research Biogeosciences. 128(8). 5 indexed citations
9.
Huang, Lingxiao, Wenping Yuan, Yanlian Zhou, et al.. (2023). A dynamic-leaf light use efficiency model for improving gross primary production estimation. Environmental Research Letters. 19(1). 14066–14066. 5 indexed citations
10.
Zhang, Hongyi, Yong Liu, Xinghua Li, et al.. (2022). Combing remote sensing information entropy and machine learning for ecological environment assessment of Hefei-Nanjing-Hangzhou region, China. Journal of Environmental Management. 325(Pt B). 116533–116533. 37 indexed citations
11.
Shen, Huanfeng, et al.. (2022). An L1-regularized variational approach for NDVI time-series reconstruction considering inter-annual seasonal similarity. International Journal of Applied Earth Observation and Geoinformation. 114. 103021–103021. 14 indexed citations
12.
Li, Ainong, et al.. (2022). Quantifying Scaling Effect on Gross Primary Productivity Estimation in the Upscaling Process of Surface Heterogeneity. Journal of Geophysical Research Biogeosciences. 127(7). 13 indexed citations
13.
Guan, Xiaobin, Huanfeng Shen, Yuchen Wang, et al.. (2021). Fusing MODIS and AVHRR products to generate a global 1-km continuous NDVI time series covering four decades. 7 indexed citations
14.
Guan, Xiaobin, et al.. (2021). A modified two-leaf light use efficiency model for improving the simulation of GPP using a radiation scalar. Agricultural and Forest Meteorology. 307. 108546–108546. 56 indexed citations
15.
Wu, Jingan, Qing Cheng, Huifang Li, et al.. (2020). Spatiotemporal Fusion With Only Two Remote Sensing Images as Input. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 6206–6219. 16 indexed citations
16.
Li, Jie, et al.. (2020). The Impact of Multi-Dimensional Urbanization on PM₂.₅ Concentrations in 261 Cities of China. IEEE Access. 8. 96199–96209. 6 indexed citations
17.
Guan, Xiaobin, Huanfeng Shen, Xinghua Li, Wenxia Gan, & Liangpei Zhang. (2019). A long-term and comprehensive assessment of the urbanization-induced impacts on vegetation net primary productivity. The Science of The Total Environment. 669. 342–352. 119 indexed citations
18.
Jing, Yinghong, Huanfeng Shen, Xinghua Li, & Xiaobin Guan. (2019). A Two-Stage Fusion Framework to Generate a Spatio–Temporally Continuous MODIS NDSI Product over the Tibetan Plateau. Remote Sensing. 11(19). 2261–2261. 25 indexed citations
19.
Li, Xinghua, Ruitao Feng, Xiaobin Guan, Huanfeng Shen, & Liangpei Zhang. (2019). Remote Sensing Image Mosaicking: Achievements and Challenges. IEEE Geoscience and Remote Sensing Magazine. 7(4). 8–22. 120 indexed citations
20.
Guan, Xiaobin, Huanfeng Shen, Xinghua Li, Wenxia Gan, & Liangpei Zhang. (2018). Climate Control on Net Primary Productivity in the Complicated Mountainous Area: A Case Study of Yunnan, China. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(12). 4637–4648. 25 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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