Linguo Yuan

1.2k total citations
41 papers, 930 citations indexed

About

Linguo Yuan is a scholar working on Oceanography, Aerospace Engineering and Astronomy and Astrophysics. According to data from OpenAlex, Linguo Yuan has authored 41 papers receiving a total of 930 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Oceanography, 27 papers in Aerospace Engineering and 9 papers in Astronomy and Astrophysics. Recurrent topics in Linguo Yuan's work include Geophysics and Gravity Measurements (28 papers), GNSS positioning and interference (26 papers) and Ionosphere and magnetosphere dynamics (8 papers). Linguo Yuan is often cited by papers focused on Geophysics and Gravity Measurements (28 papers), GNSS positioning and interference (26 papers) and Ionosphere and magnetosphere dynamics (8 papers). Linguo Yuan collaborates with scholars based in China, Taiwan and Hong Kong. Linguo Yuan's co-authors include Zhongshan Jiang, Xiaoli Ding, Ping Zhong, Dingfa Huang, Ya‐Ju Hsu, Benjamin F. Chao, Wu Chen, You Lin Xu, Yongqi Chen and K.C.S. Kwok and has published in prestigious journals such as The Science of The Total Environment, Remote Sensing of Environment and Earth and Planetary Science Letters.

In The Last Decade

Linguo Yuan

40 papers receiving 916 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Linguo Yuan China 20 572 567 219 193 159 41 930
Alvaro Santamaría‐Gómez France 17 812 1.4× 625 1.1× 159 0.7× 143 0.7× 110 0.7× 27 1.0k
G. Fotopoulos Canada 16 287 0.5× 366 0.6× 145 0.7× 86 0.4× 90 0.6× 62 800
Moritz Rexer Germany 13 524 0.9× 246 0.4× 326 1.5× 87 0.5× 59 0.4× 28 832
Svetozar Petrović Germany 13 891 1.6× 344 0.6× 230 1.1× 310 1.6× 168 1.1× 36 1.1k
A. B. Shmakin Russia 8 424 0.7× 291 0.5× 135 0.6× 130 0.7× 253 1.6× 15 773
Kamaludin Mohd Omar Malaysia 12 319 0.6× 188 0.3× 275 1.3× 63 0.3× 47 0.3× 53 688
Yueqiang Sun China 17 333 0.6× 405 0.7× 134 0.6× 419 2.2× 80 0.5× 124 936
Ta‐Kang Yeh Taiwan 16 216 0.4× 296 0.5× 301 1.4× 191 1.0× 64 0.4× 54 710
Stelios P. Mertikas Greece 15 327 0.6× 261 0.5× 68 0.3× 58 0.3× 58 0.4× 59 543
Addisu Hunegnaw Luxembourg 12 253 0.4× 217 0.4× 74 0.3× 86 0.4× 45 0.3× 31 426

Countries citing papers authored by Linguo Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Linguo Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linguo Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Linguo Yuan. A scholar is included among the top collaborators of Linguo Yuan 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 Linguo Yuan. Linguo Yuan 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.
Jiang, Zhongshan, Hui Zhang, Xinghai Yang, et al.. (2025). Tracking California’s striking water storage gains attributed to intensive atmospheric rivers. Journal of Hydrology. 653. 132804–132804.
2.
Yuan, Linguo, et al.. (2024). Insights into water mass change in the Yangtze River Basin from the spectral integration of GNSS and GRACE observations. Earth and Planetary Science Letters. 644. 118929–118929. 5 indexed citations
3.
Yang, Xinghai, et al.. (2024). Assessing and attributing flood potential in Brazil using GPS 3D deformation. Remote Sensing of Environment. 318. 114535–114535. 1 indexed citations
4.
Jiang, Zhongshan, et al.. (2024). Characterizing multifarious hydroclimatic patterns using geodetic measurements in the Australian mainland. Journal of Hydrology. 642. 131792–131792. 6 indexed citations
5.
Böhm, Johannes, et al.. (2024). Global zenith wet delay modeling with surface meteorological data and machine learning. GPS Solutions. 28(1). 7 indexed citations
6.
7.
Jiang, Zhongshan, et al.. (2022). Hydrological drought characterization based on GNSS imaging of vertical crustal deformation across the contiguous United States. The Science of The Total Environment. 823. 153663–153663. 15 indexed citations
8.
Sun, Xiaofei, et al.. (2022). Quantitative estimation for the impact of mining activities on vegetation phenology and identifying its controlling factors from Sentinel-2 time series. International Journal of Applied Earth Observation and Geoinformation. 111. 102814–102814. 35 indexed citations
9.
Jiang, Zhongshan, et al.. (2021). Characterizing Spatiotemporal Patterns of Terrestrial Water Storage Variations Using GNSS Vertical Data in Sichuan, China. Journal of Geophysical Research Solid Earth. 126(12). 33 indexed citations
10.
Sun, Xiaofei, et al.. (2021). Spatiotemporal change of vegetation coverage recovery and its driving factors in the Wenchuan earthquake-hit areas. Journal of Mountain Science. 18(11). 2854–2869. 9 indexed citations
11.
Jiang, Zhongshan, et al.. (2021). Insights into hydrological drought characteristics using GNSS-inferred large-scale terrestrial water storage deficits. Earth and Planetary Science Letters. 578. 117294–117294. 38 indexed citations
12.
Sun, Xiaofei, et al.. (2021). Integrated decision-making model for groundwater potential evaluation in mining areas using the cusp catastrophe model and principal component analysis. Journal of Hydrology Regional Studies. 37. 100891–100891. 19 indexed citations
13.
Jiang, Zhongshan, Ya‐Ju Hsu, Linguo Yuan, & Dingfa Huang. (2020). Monitoring time-varying terrestrial water storage changes using daily GNSS measurements in Yunnan, southwest China. Remote Sensing of Environment. 254. 112249–112249. 73 indexed citations
14.
Yuan, Linguo, et al.. (2019). Analysis of the code and phase between-receiver inter-system biases of the overlapping frequencies for GPS/Galileo/BDS. Advances in Space Research. 65(4). 1196–1209. 3 indexed citations
15.
16.
Ge, Maorong, et al.. (2018). Improvements on the particle-filter-based GLONASS phase inter-frequency bias estimation approach. GPS Solutions. 22(3). 4 indexed citations
17.
Yuan, Linguo, et al.. (2016). Seasonal crustal vertical deformation induced by environmental mass loading in mainland China derived from GPS, GRACE and surface loading models. Advances in Space Research. 59(1). 88–102. 48 indexed citations
18.
Chen, Wu, et al.. (2015). Crustal vertical deformation response to different spatial scales of GRACE and GCMs surface loading. Geophysical Journal International. 204(1). 505–516. 22 indexed citations
19.
Yuan, Linguo & Benjamin F. Chao. (2012). Analysis of tidal signals in surface displacement measured by a dense continuous GPS array. Earth and Planetary Science Letters. 355-356. 255–261. 41 indexed citations
20.
Zhong, Ping, Xiaoli Ding, Linguo Yuan, et al.. (2009). Sidereal filtering based on single differences for mitigating GPS multipath effects on short baselines. Journal of Geodesy. 84(2). 145–158. 117 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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