Xiangnan Liu

771 total citations
33 papers, 620 citations indexed

About

Xiangnan Liu is a scholar working on Ecology, Media Technology and Plant Science. According to data from OpenAlex, Xiangnan Liu has authored 33 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Ecology, 13 papers in Media Technology and 9 papers in Plant Science. Recurrent topics in Xiangnan Liu's work include Remote Sensing in Agriculture (20 papers), Remote-Sensing Image Classification (12 papers) and Leaf Properties and Growth Measurement (9 papers). Xiangnan Liu is often cited by papers focused on Remote Sensing in Agriculture (20 papers), Remote-Sensing Image Classification (12 papers) and Leaf Properties and Growth Measurement (9 papers). Xiangnan Liu collaborates with scholars based in China, Canada and Australia. Xiangnan Liu's co-authors include Ling Wu, Meiling Liu, Chao Ding, Feng Liu, Weicui Ding, Biyao Zhang, Ming Liu, Gaoxiang Zhou, Ming Jin and Bingyu Zhao and has published in prestigious journals such as Molecules, Sensors and International Journal of Environmental Research and Public Health.

In The Last Decade

Xiangnan Liu

32 papers receiving 614 citations

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 15 334 201 168 157 147 33 620
Chariton Kalaitzidis Greece 12 345 1.0× 184 0.9× 127 0.8× 169 1.1× 66 0.4× 31 609
K. L. Smith United Kingdom 12 395 1.2× 138 0.7× 175 1.0× 240 1.5× 60 0.4× 21 686
Guillaume Lassalle France 13 257 0.8× 129 0.6× 57 0.3× 96 0.6× 49 0.3× 22 436
Qu Zhou United States 11 199 0.6× 70 0.3× 74 0.4× 103 0.7× 87 0.6× 23 525
Cornelia Gläßer Germany 12 133 0.4× 86 0.4× 40 0.2× 84 0.5× 133 0.9× 30 353
Guillaume Coulouma France 12 217 0.6× 43 0.2× 119 0.7× 61 0.4× 285 1.9× 23 725
Jianing Zhen China 13 323 1.0× 35 0.2× 90 0.5× 147 0.9× 46 0.3× 24 560
José Carlos Neves Epiphânio Brazil 13 313 0.9× 79 0.4× 113 0.7× 130 0.8× 148 1.0× 41 560
Yulin Zhan China 16 415 1.2× 119 0.6× 174 1.0× 333 2.1× 26 0.2× 71 942
Jia Tian China 14 382 1.1× 63 0.3× 90 0.5× 174 1.1× 49 0.3× 49 719

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.
Li, Xuqing, et al.. (2025). A Fusion XGBoost Approach for Large-Scale Monitoring of Soil Heavy Metal in Farmland Using Hyperspectral Imagery. Agronomy. 15(3). 676–676. 5 indexed citations
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Liu, Mengxue, Xiangnan Liu, Xiaobin Dong, et al.. (2020). An Improved Spatiotemporal Data Fusion Method Using Surface Heterogeneity Information Based on ESTARFM. Remote Sensing. 12(21). 3673–3673. 19 indexed citations
6.
Zhou, Gaoxiang, Xiangnan Liu, & Ming Liu. (2019). Assimilating Remote Sensing Phenological Information into the WOFOST Model for Rice Growth Simulation. Remote Sensing. 11(3). 268–268. 34 indexed citations
7.
Wu, Ling, Xiangnan Liu, Qiming Qin, et al.. (2018). Scaling Correction of Remotely Sensed Leaf Area Index for Farmland Landscape Pattern With Multitype Spatial Heterogeneities Using Fractal Dimension and Contextural Parameters. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(5). 1472–1481. 12 indexed citations
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Liu, Xiangnan, et al.. (2017). Extraction of Rice Heavy Metal Stress Signal Features Based on Long Time Series Leaf Area Index Data Using Ensemble Empirical Mode Decomposition. International Journal of Environmental Research and Public Health. 14(9). 1018–1018. 23 indexed citations
10.
Wu, Ling, Qiming Qin, Xiangnan Liu, et al.. (2016). Spatial Up-Scaling Correction for Leaf Area Index Based on the Fractal Theory. Remote Sensing. 8(3). 197–197. 17 indexed citations
11.
Jin, Ming, Xiangnan Liu, Ling Wu, & Meiling Liu. (2015). An improved assimilation method with stress factors incorporated in the WOFOST model for the efficient assessment of heavy metal stress levels in rice. International Journal of Applied Earth Observation and Geoinformation. 41. 118–129. 42 indexed citations
12.
Wu, Ling, et al.. (2015). Spatial scaling transformation modeling based on fractal theory for the leaf area index retrieved from remote sensing imagery. Journal of Applied Remote Sensing. 9(1). 96015–96015. 14 indexed citations
13.
Jiang, Jiale, et al.. (2014). Analyzing the Spatial Scaling Bias of Rice Leaf Area Index From Hyperspectral Data Using Wavelet–Fractal Technique. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 8(6). 3068–3080. 12 indexed citations
14.
Ding, Chao, Xiangnan Liu, Wencan Liu, Meiling Liu, & Yao Li. (2014). Mafic–ultramafic and quartz-rich rock indices deduced from ASTER thermal infrared data using a linear approximation to the Planck function. Ore Geology Reviews. 60. 161–173. 41 indexed citations
15.
Li, Ting, et al.. (2012). Regional application and verification of spectral analysis model for assessing heavy-metal stress of rice. Nongye gongcheng xuebao. 2012(12). 6 indexed citations
16.
Liu, Meiling, Xiangnan Liu, Jonathan Li, & Ting Li. (2012). Estimating regional heavy metal concentrations in rice by scaling up a field-scale heavy metal assessment model. International Journal of Applied Earth Observation and Geoinformation. 19. 12–23. 23 indexed citations
17.
Liu, Meiling, et al.. (2011). Wavelet-based detection of crop zinc stress assessment using hyperspectral reflectance. Computers & Geosciences. 37(9). 1254–1263. 37 indexed citations
18.
Liu, Xiangnan, et al.. (2010). Model for calculating corn nitrogen nutrition index using hyper-spectral data.. Nongye gongcheng xuebao. 26(1). 250–255. 5 indexed citations
19.
Liu, Meiling, et al.. (2010). Estimating leaf chlorophyll content of rice under heavy metal stress using neural network model. 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery. 1896–1900. 1 indexed citations
20.
Wang, Ping, Fang Huang, Xiangnan Liu, & Ling Zhao. (2010). Estimating chlorophyll content of rice under soil contamination stress using BPNN. 2010 Sixth International Conference on Natural Computation. 95. 1649–1653. 2 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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