Xiaoping Wu

1.5k total citations
50 papers, 1.1k citations indexed

About

Xiaoping Wu is a scholar working on Oceanography, Aerospace Engineering and Molecular Biology. According to data from OpenAlex, Xiaoping Wu has authored 50 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Oceanography, 23 papers in Aerospace Engineering and 12 papers in Molecular Biology. Recurrent topics in Xiaoping Wu's work include Geophysics and Gravity Measurements (33 papers), GNSS positioning and interference (21 papers) and Geomagnetism and Paleomagnetism Studies (12 papers). Xiaoping Wu is often cited by papers focused on Geophysics and Gravity Measurements (33 papers), GNSS positioning and interference (21 papers) and Geomagnetism and Paleomagnetism Studies (12 papers). Xiaoping Wu collaborates with scholars based in United States, China and France. Xiaoping Wu's co-authors include M. B. Heflin, Erik R. Ivins, Tonie van Dam, Jim Ray, R. S. Gross, Z. Altamimi, Ichiro Fukumori, Xavier Collilieux, Max Wyss and Bert Vermeersen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Scientific Reports.

In The Last Decade

Xiaoping Wu

47 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoping Wu United States 16 703 478 342 226 205 50 1.1k
S. Skone Canada 21 372 0.5× 737 1.5× 975 2.9× 336 1.5× 188 0.9× 95 1.2k
Robert Norman Australia 19 328 0.5× 574 1.2× 878 2.6× 341 1.5× 155 0.8× 55 1.1k
Yueqiang Sun China 17 333 0.5× 405 0.8× 419 1.2× 134 0.6× 50 0.2× 124 936
Mohammad Ali Sharifi Iran 16 591 0.8× 412 0.9× 249 0.7× 139 0.6× 110 0.5× 87 999
João Francisco Galera Monico Brazil 25 820 1.2× 1.3k 2.6× 1.1k 3.3× 290 1.3× 58 0.3× 154 1.6k
Brian Luzum United States 16 450 0.6× 339 0.7× 269 0.8× 79 0.3× 99 0.5× 37 780
Matthew Angling United Kingdom 17 270 0.4× 508 1.1× 789 2.3× 326 1.4× 133 0.6× 48 948
Wang Li China 19 220 0.3× 326 0.7× 456 1.3× 493 2.2× 81 0.4× 100 951
Marcelo C. Santos Canada 17 819 1.2× 914 1.9× 499 1.5× 182 0.8× 79 0.4× 80 1.2k
Benedikt Soja Switzerland 15 402 0.6× 433 0.9× 262 0.8× 75 0.3× 56 0.3× 89 741

Countries citing papers authored by Xiaoping Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoping Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoping Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoping Wu. A scholar is included among the top collaborators of Xiaoping Wu 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 Xiaoping Wu. Xiaoping Wu 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.
Fu, Ying, et al.. (2025). Spectral instability of the periodic peakons in the Novikov equation. Journal of Differential Equations. 454. 113938–113938.
2.
Wang, Qianfeng, et al.. (2024). Understanding vegetation phenology responses to easily ignored climate factors in china's mid-high latitudes. Scientific Reports. 14(1). 8773–8773. 7 indexed citations
3.
Shen, Yizhou, et al.. (2024). Game-theoretic analytics for privacy preservation in Internet of Things networks: A survey. Engineering Applications of Artificial Intelligence. 133. 108449–108449. 6 indexed citations
4.
Wu, Xiaoping, Ying Fu, & Changzheng Qu. (2024). Reducibility of the dispersive Camassa-Holm equation with unbounded perturbations. Journal of Functional Analysis. 286(6). 110321–110321.
5.
Haines, Bruce, Willy Bertiger, Matthias Ellmer, et al.. (2024). A Global Combination of Geodetic Techniques at the Observation Level: New Perspectives on the Terrestrial Reference Frame. Journal of Geophysical Research Solid Earth. 129(12). 3 indexed citations
6.
Wang, Guoying, et al.. (2023). BAG: A Linear-Nonlinear Hybrid Time Series Prediction Model for Soil Moisture. Agriculture. 13(2). 379–379. 6 indexed citations
7.
Shen, Shigen, Xiaoping Wu, Panjun Sun, et al.. (2023). Optimal privacy preservation strategies with signaling Q-learning for edge-computing-based IoT resource grant systems. Expert Systems with Applications. 225. 120192–120192. 60 indexed citations
8.
Fedeli, Alessandro, et al.. (2021). Full-Wave Modeling and Inversion of UWB Radar Data for Wave Propagation in Cylindrical Objects. Remote Sensing. 13(12). 2370–2370. 2 indexed citations
9.
Soja, Benedikt, et al.. (2019). Chasing consistency: joint determination of terrestrial and celestial reference frames. EGU General Assembly Conference Abstracts. 10211. 1 indexed citations
10.
Wu, Xiaoping, Z. Altamimi, T. M. Chin, et al.. (2015). KALREF—A Kalman filter and time series approach to the International Terrestrial Reference Frame realization. Journal of Geophysical Research Solid Earth. 120(5). 3775–3802. 32 indexed citations
11.
Morlighem, Mathieu, Eric Rignot, J. Mouginot, et al.. (2013). High-resolution bed topography mapping of Russell Glacier, Greenland, inferred from Operation IceBridge data. Journal of Glaciology. 59(218). 1015–1023. 37 indexed citations
12.
Wu, Xiaoping, Jim Ray, & Tonie van Dam. (2012). Geocenter motion and its geodetic and geophysical implications. Journal of Geodynamics. 58. 44–61. 123 indexed citations
13.
Wu, Xiaoping, Xavier Collilieux, Z. Altamimi, et al.. (2011). Accuracy of the International Terrestrial Reference Frame origin and Earth expansion. Geophysical Research Letters. 38(13). n/a–n/a. 58 indexed citations
14.
Wu, Xiaoping, Xavier Collilieux, & Z. Altamimi. (2010). Data Sets and Inverse Strategies for Global Surface Mass Variations. EGU General Assembly Conference Abstracts. 5484. 6 indexed citations
15.
Wu, Xiaoping, M. B. Heflin, Bert Vermeersen, et al.. (2010). Simultaneous estimation of global present-day water transport and glacial isostatic adjustment. Nature Geoscience. 3(9). 642–646. 119 indexed citations
16.
Zhong, Min, et al.. (2005). Non-tidal oceanic contribution to polar wobble estimated from two oceanic assimilation data sets. Journal of Geodynamics. 41(1-3). 147–154. 3 indexed citations
17.
Wu, Xiaoping, et al.. (2004). ISO2002: an analytical stochastic model of multi-difference GPS carrier-phase data. Journal of Geodesy. 78(4-5). 263–271. 3 indexed citations
18.
Wu, Xiaoping, Y. Bar-Sever, W. M. Folkner, J. G. Williams, & J. Zumberge. (2001). Europa's Tides and Possible Hidden Liquid Ocean-With New Simulations on Different Orbit Configurations and Non-Global Ocean Basins. 47(1). 501–507. 1 indexed citations
19.
Wu, Xiaoping, et al.. (2001). Astronomical tides and earthquakes. 19(1). 45–54. 5 indexed citations
20.
Wu, Xiaoping, Y. Bar-Sever, W. M. Folkner, J. G. Williams, & J. Zumberge. (2001). Probing Europa's hidden ocean from tidal effects on orbital dynamics. Geophysical Research Letters. 28(11). 2245–2248. 36 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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