Weichao Tu

1.8k total citations
60 papers, 1.3k citations indexed

About

Weichao Tu is a scholar working on Astronomy and Astrophysics, Geophysics and Atmospheric Science. According to data from OpenAlex, Weichao Tu has authored 60 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Astronomy and Astrophysics, 23 papers in Geophysics and 13 papers in Atmospheric Science. Recurrent topics in Weichao Tu's work include Ionosphere and magnetosphere dynamics (49 papers), Solar and Space Plasma Dynamics (44 papers) and Earthquake Detection and Analysis (21 papers). Weichao Tu is often cited by papers focused on Ionosphere and magnetosphere dynamics (49 papers), Solar and Space Plasma Dynamics (44 papers) and Earthquake Detection and Analysis (21 papers). Weichao Tu collaborates with scholars based in United States, China and Greece. Weichao Tu's co-authors include Xinlin Li, G. D. Reeves, Steven K. Morley, Zheng Xiang, D. N. Baker, Y. Chen, G. Cunningham, M. G. Henderson, J. B. Blake and Binbin Ni and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Advanced Energy Materials and Geophysical Research Letters.

In The Last Decade

Weichao Tu

56 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weichao Tu United States 19 1.3k 544 279 211 48 60 1.3k
A. J. Boyd United States 21 1.3k 1.0× 568 1.0× 307 1.1× 153 0.7× 37 0.8× 40 1.3k
Adam Kellerman United States 20 1.2k 1.0× 577 1.1× 273 1.0× 166 0.8× 73 1.5× 55 1.3k
Brian Kress United States 21 1.2k 0.9× 349 0.6× 261 0.9× 146 0.7× 73 1.5× 56 1.2k
D. Subbotin United States 15 1.4k 1.1× 576 1.1× 306 1.1× 223 1.1× 91 1.9× 18 1.4k
K. Orlova Russia 16 1.2k 0.9× 553 1.0× 285 1.0× 118 0.6× 80 1.7× 21 1.2k
A. Sicard France 18 1.0k 0.8× 384 0.7× 247 0.9× 124 0.6× 56 1.2× 56 1.1k
Irina Zhelavskaya Germany 17 760 0.6× 376 0.7× 180 0.6× 102 0.5× 47 1.0× 35 846
Alexander Drozdov United States 23 1.8k 1.4× 772 1.4× 314 1.1× 222 1.1× 112 2.3× 74 1.8k
Nikita Aseev United States 14 678 0.5× 284 0.5× 140 0.5× 111 0.5× 42 0.9× 38 709
L. G. Ozeke Canada 26 2.0k 1.6× 992 1.8× 639 2.3× 226 1.1× 66 1.4× 62 2.0k

Countries citing papers authored by Weichao Tu

Since Specialization
Citations

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

Fields of papers citing papers by Weichao Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weichao Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Weichao Tu. A scholar is included among the top collaborators of Weichao Tu 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 Weichao Tu. Weichao Tu 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.
Zhang, Jing, Tianshu Zhai, Qiyi Fang, et al.. (2025). Scalable mechanical exfoliation of two-dimensional nanosheets by polymer-assisted dry ball-mill of layered materials and insights from machine learning. Materials Today Nano. 30. 100604–100604. 2 indexed citations
2.
Tu, Weichao, Yanbin Shen, Zhenquan Yang, et al.. (2025). The Virulence Factor LLO of Listeria monocytogenes Can Hamper Biofilm Formation and Indirectly Suppress Phage-Lytic Effect. Foods. 14(15). 2554–2554.
3.
Tu, Weichao, et al.. (2025). Modeling Relativistic Electron Dropout in the Outer Radiation Belt During the 31 December 2016 Storm. Journal of Geophysical Research Space Physics. 130(5).
4.
Tu, Weichao, et al.. (2024). Modeling the Contribution of Precipitation Loss to a Radiation Belt Electron Dropout Observed by Van Allen Probes. Journal of Geophysical Research Space Physics. 129(3). 3 indexed citations
5.
Lee, SangYun, Weichao Tu, G. Cunningham, et al.. (2024). Simulating Long‐Term Dynamics of Radiation Belt Electrons Using DREAM3D Model. Journal of Geophysical Research Space Physics. 129(2). 3 indexed citations
6.
Tu, Weichao, et al.. (2024). Modeling the Simultaneous Dropout of Energetic Electrons and Protons by Magnetopause Shadowing. Geophysical Research Letters. 51(2). 4 indexed citations
7.
Jordanova, V. K., et al.. (2024). Quantifying the Role of EMIC Wave Scattering During the 27 February 2014 Storm by RAM‐SCB Simulations. Journal of Geophysical Research Space Physics. 129(7). 2 indexed citations
8.
Sarris, T. E., Xinlin Li, Hong Zhao, et al.. (2024). On the Contribution of Latitude‐Dependent ULF Waves to the Radial Transport of Off‐Equatorial Relativistic Electrons in the Radiation Belts. Journal of Geophysical Research Space Physics. 129(11). 3 indexed citations
9.
Tu, Weichao, et al.. (2023). Modeling the Effects of Drift Orbit Bifurcation on the Magnetopause Shadowing Loss of Radiation Belt Electrons. Geophysical Research Letters. 50(24). 6 indexed citations
10.
Tu, Weichao, et al.. (2023). Modeling the Simultaneous Dropout of Energetic Electrons and Protons by Magnetopause Shadowing. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
11.
Blum, Lauren, et al.. (2023). Contrasting Storm‐Time Radiation Belt Events With and Without Dropouts—The Importance of CME Shocks. Journal of Geophysical Research Space Physics. 128(10). 2 indexed citations
12.
Tu, Weichao, et al.. (2023). Modeling the Effects of Drift Orbit Bifurcation on the Magnetopause Shadowing Loss of Radiation Belt Electrons. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
13.
Alves, L. R., et al.. (2022). Modeling Radiation Belt Electron Dropouts During Moderate Geomagnetic Storms Using Radial Diffusion Coefficients Estimated With Global MHD Simulations. Journal of Geophysical Research Space Physics. 127(9). 3 indexed citations
14.
Ma, Qianli, et al.. (2022). Modeling the Simultaneous Dropout of Energetic Electrons and Protons by EMIC Wave Scattering. Geophysical Research Letters. 49(20). 18 indexed citations
15.
Tu, Weichao, et al.. (2022). Modeling the Dynamics of Energetic Protons in Earth's Inner Magnetosphere. Journal of Geophysical Research Space Physics. 127(3). 6 indexed citations
16.
Sarris, T. E., Xinlin Li, Hong Zhao, et al.. (2022). Distribution of ULF Wave Power in Magnetic Latitude and Local Time Using THEMIS and Arase Measurements. Journal of Geophysical Research Space Physics. 127(10). 19 indexed citations
17.
Tu, Weichao, et al.. (2020). Quantifying the Effect of Magnetic Field Line Curvature Scattering on the Loss of Ring Current Ions. Journal of Geophysical Research Space Physics. 126(1). 6 indexed citations
18.
Ripoll, Jean‐François, et al.. (2019). On the Use of Different Magnetic Field Models for Simulating the Dynamics of the Outer Radiation Belt Electrons During the October 1990 Storm. Journal of Geophysical Research Space Physics. 124(8). 6453–6486. 13 indexed citations
19.
Jaynes, A. N., Q. Schiller, Lauren Blum, et al.. (2014). Evolution of relativistic outer belt electrons during an extended quiescent period. Journal of Geophysical Research Space Physics. 119(12). 9558–9566. 24 indexed citations
20.
Tu, Weichao, et al.. (2007). Storm-Dependent Radiation Belt Dynamics. AGU Fall Meeting Abstracts. 2007. 1 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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