Xiangnan Liu

4.3k total citations · 3 hit papers
184 papers, 3.5k citations indexed

About

Xiangnan Liu is a scholar working on Ecology, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Xiangnan Liu has authored 184 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Ecology, 58 papers in Global and Planetary Change and 40 papers in Atmospheric Science. Recurrent topics in Xiangnan Liu's work include Remote Sensing in Agriculture (69 papers), Land Use and Ecosystem Services (35 papers) and Remote Sensing and Land Use (35 papers). Xiangnan Liu is often cited by papers focused on Remote Sensing in Agriculture (69 papers), Land Use and Ecosystem Services (35 papers) and Remote Sensing and Land Use (35 papers). Xiangnan Liu collaborates with scholars based in China, United States and Canada. Xiangnan Liu's co-authors include Meiling Liu, Xingwang Zhang, Lecheng Lei, Ling Wu, Shaoyun Hao, Yi He, Min Liu, Nan Xu, Lihong Zhu and Xiaoli Tan and has published in prestigious journals such as Nature Communications, PLoS ONE and Nature Nanotechnology.

In The Last Decade

Xiangnan Liu

177 papers receiving 3.4k citations

Hit Papers

Dopants fixation of Ruthe... 2020 2026 2022 2024 2020 2021 2022 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiangnan Liu China 28 1.0k 883 867 619 456 184 3.5k
Xiaoli Zhang China 27 277 0.3× 810 0.9× 162 0.2× 336 0.5× 291 0.6× 167 3.0k
Changan Liu China 33 702 0.7× 606 0.7× 357 0.4× 594 1.0× 930 2.0× 143 3.9k
Xiaobo Wang China 32 342 0.3× 1.0k 1.2× 244 0.3× 369 0.6× 658 1.4× 144 4.2k
Wei Li China 36 245 0.2× 318 0.4× 487 0.6× 176 0.3× 199 0.4× 406 5.2k
Chao Wang China 40 501 0.5× 482 0.5× 138 0.2× 182 0.3× 97 0.2× 181 4.0k
Yuanyuan Zhao China 26 99 0.1× 1.1k 1.2× 335 0.4× 1.2k 2.0× 221 0.5× 85 2.7k
Yuwei Li China 34 363 0.4× 231 0.3× 336 0.4× 197 0.3× 107 0.2× 192 4.1k
Xinjie Liu China 33 77 0.1× 1.6k 1.9× 239 0.3× 1.6k 2.6× 547 1.2× 147 3.6k
Ruirui Zhang China 32 209 0.2× 251 0.3× 545 0.6× 84 0.1× 599 1.3× 209 3.2k
Aitazaz A. Farooque Canada 30 91 0.1× 506 0.6× 241 0.3× 660 1.1× 1.0k 2.2× 221 3.5k

Countries citing papers authored by Xiangnan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xiangnan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangnan Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangnan Liu. A scholar is included among the top collaborators of Xiangnan Liu 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 Xiangnan Liu. Xiangnan Liu 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.
Zhao, Ling-Xi, Ling-Xi Zhao, Tianyi Zhang, et al.. (2025). Fabrication of mesoporous ion-imprinted fluorescent sensors for rapid and reliable Cu2+ detection in aqueous environments. Results in Surfaces and Interfaces. 19. 100533–100533.
2.
Feng, Xi, et al.. (2025). RST-DeepLabv3+: Multi-Scale Attention for Tailings Pond Identification with DeepLab. Remote Sensing. 17(3). 411–411. 2 indexed citations
4.
Wu, Ling, Xiangnan Liu, Chen Chen, et al.. (2024). Remote Sensing Change Detection Method Based on Dynamic Adaptive Focal Loss. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–15. 4 indexed citations
5.
Liu, Xiangnan, et al.. (2023). Assessing Forest Landscape Stability through Automatic Identification of Landscape Pattern Evolution in Shanxi Province of China. Remote Sensing. 15(3). 545–545. 10 indexed citations
6.
Liu, Xiangnan, et al.. (2022). Hybrid Spatiotemporal Graph Convolutional Network for Detecting Landscape Pattern Evolution From Long-Term Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–16. 8 indexed citations
7.
Wu, Ling, Xiangnan Liu, Meiling Liu, et al.. (2022). Online Forest Disturbance Detection at the Sub-Annual Scale Using Spatial Context From Sparse Landsat Time Series. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–14. 4 indexed citations
8.
Zhao, Bingyu, Meiling Liu, Jian Wu, et al.. (2020). Parallel Computing for Obtaining Regional Scale Rice Growth Conditions Based on WOFOST and Satellite Images. IEEE Access. 8. 223675–223685. 8 indexed citations
9.
Liu, Meiling, et al.. (2020). Spatio-temporal Index Based on Time Series of Leaf Area Index for Identifying Heavy Metal Stress in Rice under Complex Stressors. International Journal of Environmental Research and Public Health. 17(7). 2265–2265. 8 indexed citations
10.
Hao, Shaoyun, Min Liu, Junjie Pan, et al.. (2020). Dopants fixation of Ruthenium for boosting acidic oxygen evolution stability and activity. Nature Communications. 11(1). 5368–5368. 464 indexed citations breakdown →
11.
Chen, Hao, Xiangnan Liu, Chao Ding, & Fang Huang. (2018). Phenology-Based Residual Trend Analysis of MODIS-NDVI Time Series for Assessing Human-Induced Land Degradation. Sensors. 18(11). 3676–3676. 21 indexed citations
12.
Liu, Xiangnan, et al.. (2013). The satellite remotely-sensed analysis of the temporal and spatial variability of chlorophyll a concentration in the northern South China Sea. Acta Oceanologica Sinica. 35(4). 98–105. 1 indexed citations
13.
Liu, Yuan, et al.. (2012). Formation and sedimentary model of shallow delta in large-scale lake.example from Cretaceous Quantou Formation in Sanzhao Sag,Songliao Basin. 19(1). 89–99. 34 indexed citations
14.
Liu, Xiangnan. (2011). A Spatialized PageRank Algorithm for Migration Spatial Agglomeration Analysis. Geography and Geo-Information Science. 1 indexed citations
15.
Liu, Xiangnan, et al.. (2011). THE APPLICATION OF GMS SATELLITE TO THE REMOTE SENSING MONITORING OF RAINSTORM DISASTER. Guotu ziyuan yaogan. 14(4). 14–16. 1 indexed citations
16.
Liu, Meiling, Xiangnan Liu, Ting Li, & Lina Xiu. (2010). Analysis of hyperspectral singularity of rice under Zn pollution stress.. Nongye gongcheng xuebao. 26(3). 191–197. 10 indexed citations
17.
Liu, Quan, Zhongjing Wang, & Xiangnan Liu. (2005). Analysis of Soil Erosion Tendency in the Liaohe River Basin Using Remote Sensing and GIS. Bulletin of Soil and Water Conservation. 2 indexed citations
18.
Zhang, Bai, et al.. (2004). Forecast of Land Desertification in Northern Jilin Province of China——Taking Zhenlai County as Example. Zhongguo shamo. 1 indexed citations
19.
Huang, Fang, et al.. (2002). Land use change of the ecotone in the west part of Songnen Plain. Journal of Northeast Normal University. 34(1). 105–110. 3 indexed citations
20.
Liu, Xiangnan. (2001). Graphic representation of spatial pattern of land use. Geographical Research.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026