Guochun Wu

683 total citations
46 papers, 385 citations indexed

About

Guochun Wu is a scholar working on Applied Mathematics, Mathematical Physics and Computational Mechanics. According to data from OpenAlex, Guochun Wu has authored 46 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Applied Mathematics, 35 papers in Mathematical Physics and 25 papers in Computational Mechanics. Recurrent topics in Guochun Wu's work include Navier-Stokes equation solutions (42 papers), Advanced Mathematical Physics Problems (35 papers) and Computational Fluid Dynamics and Aerodynamics (22 papers). Guochun Wu is often cited by papers focused on Navier-Stokes equation solutions (42 papers), Advanced Mathematical Physics Problems (35 papers) and Computational Fluid Dynamics and Aerodynamics (22 papers). Guochun Wu collaborates with scholars based in China, Hong Kong and United States. Guochun Wu's co-authors include Zhong Tan, Xianpeng Hu, Yinghui Zhang, Fei Jiang, Song Jiang, Xin Zhong, Qing Chen, Jun Huang, Xin Zhong and Qing Chen and has published in prestigious journals such as Sustainability, Journal of Mathematical Analysis and Applications and Physica D Nonlinear Phenomena.

In The Last Decade

Guochun Wu

37 papers receiving 355 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guochun Wu China 11 368 229 221 120 24 46 385
Ruizhao Zi China 14 424 1.2× 301 1.3× 297 1.3× 56 0.5× 36 1.5× 32 455
Yongzhong Sun China 13 500 1.4× 375 1.6× 269 1.2× 101 0.8× 5 0.2× 29 532
Xiaoxia Ren China 5 249 0.7× 216 0.9× 129 0.6× 89 0.7× 3 0.1× 12 274
Jörg Wolf South Korea 11 386 1.0× 226 1.0× 115 0.5× 105 0.9× 24 1.0× 40 411
Ondřej Kreml Czechia 9 218 0.6× 124 0.5× 147 0.7× 34 0.3× 4 0.2× 18 244
Bum Ja Jin South Korea 11 478 1.3× 276 1.2× 221 1.0× 191 1.6× 10 0.4× 46 514
Philip Isett United States 7 222 0.6× 106 0.5× 106 0.5× 48 0.4× 4 0.2× 13 238
Donatella Donatelli Italy 11 382 1.0× 242 1.1× 205 0.9× 47 0.4× 3 0.1× 30 417
M. Padula Italy 10 190 0.5× 81 0.4× 88 0.4× 76 0.6× 12 0.5× 21 229

Countries citing papers authored by Guochun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Guochun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guochun Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Guochun Wu. A scholar is included among the top collaborators of Guochun 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 Guochun Wu. Guochun 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.
Wu, Guochun, et al.. (2024). Large time behavior of weak solutions to the inhomogeneous incompressible Navier-Stokes-Vlasov equations in R3. Journal of Differential Equations. 402. 361–399. 1 indexed citations
2.
Huang, Feimin, et al.. (2024). Global well-posedness and large-time behavior of classical solutions to the Euler-Navier-Stokes system in R3. Journal of Differential Equations. 410. 76–112. 2 indexed citations
3.
Tan, Zhong, Guochun Wu, Lei Yao, & Yinghui Zhang. (2024). Vanishing capillarity limit of a generic compressible two–fluid model with common pressure. Journal of Differential Equations. 420. 223–262.
4.
Wu, Guochun, Lei Yao, & Ying‐Hui Zhang. (2024). Stability and instability of a generic non-conservative compressible two-fluid model in R3. Physica D Nonlinear Phenomena. 467. 134249–134249.
5.
Guo, Shanshan, Guochun Wu, & Yinghui Zhang. (2023). Global existence and large time behaviour for the pressureless Euler–Naver–Stokes system in ℝ3. Proceedings of the Royal Society of Edinburgh Section A Mathematics. 154(1). 328–352. 1 indexed citations
6.
Wu, Guochun, Lei Yao, & Yinghui Zhang. (2023). On instability of a generic compressible two-fluid model in R3. Nonlinearity. 36(9). 4740–4757.
7.
Chen, Qing, Guochun Wu, & Yinghui Zhang. (2023). Optimal large time behavior of the compressible bipolar Navier–Stokes–Poisson system. Communications in Mathematical Sciences. 21(2). 323–349. 1 indexed citations
8.
Wu, Guochun, et al.. (2023). Global Stability and Nonvanishing Vacuum States of 3D Compressible Navier–Stokes Equations. SIAM Journal on Mathematical Analysis. 55(2). 882–899. 1 indexed citations
9.
Chen, Qing, et al.. (2020). Optimal time decay rates for the compressible Navier-Stokes system with and without Yukawa-type potential. Electronic Journal of Differential Equations. 2020(01-132). 102–102. 4 indexed citations
10.
Wu, Guochun, et al.. (2020). Optimal time‐decay rates for the 3D compressible Magnetohydrodynamic flows with discontinuous initial data and large oscillations. Journal of the London Mathematical Society. 103(3). 817–845. 13 indexed citations
11.
Wu, Guochun, et al.. (2019). The initial value problem for the compressible magnetohydrodynamic equations without heat conductivity. Journal of Mathematical Analysis and Applications. 484(2). 123708–123708.
12.
Wu, Guochun & Zhong Tan. (2018). Global low-energy weak solution and large-time behavior for the compressible flow of liquid crystals. Journal of Differential Equations. 264(11). 6603–6632. 10 indexed citations
13.
Jiang, Fei, Song Jiang, & Guochun Wu. (2017). On stabilizing effect of elasticity in the Rayleigh–Taylor problem of stratified viscoelastic fluids. Journal of Functional Analysis. 272(9). 3763–3824. 40 indexed citations
14.
Wu, Guochun, et al.. (2017). Time decay rates for the compressible viscoelastic flows. Journal of Mathematical Analysis and Applications. 452(2). 990–1004. 13 indexed citations
15.
Wu, Guochun. (2017). Existence and analytic regularity of certain solutions for the generalized BBM-Burgers equation in $\mathbb R^n$. Annales Polonici Mathematici. 119(1). 69–78. 1 indexed citations
16.
Wu, Guochun, Qing Chen, & Zhong Tan. (2016). On the outer pressure problem of the one-dimensional compressible Navier–Stokes equation with degenerate transport coefficients. Journal of Mathematical Analysis and Applications. 449(1). 553–571. 2 indexed citations
17.
Wu, Guochun. (2016). Global existence and asymptotic behavior for the 3D compressible Navier–Stokes equations without heat conductivity in a bounded domain. Journal of Differential Equations. 262(2). 844–861. 6 indexed citations
18.
Jiang, Fei, Guochun Wu, & Xin Zhong. (2016). On exponential stability of gravity driven viscoelastic flows. Journal of Differential Equations. 260(10). 7498–7534. 32 indexed citations
19.
Wu, Guochun, Zhong Tan, & Jun Huang. (2013). Global existence and large time behavior for the system of compressible adiabatic flow through porous media inR3. Journal of Differential Equations. 255(5). 865–880. 15 indexed citations
20.
Tan, Zhong & Guochun Wu. (2011). Large time behavior of solutions for compressible Euler equations with damping in R3. Journal of Differential Equations. 252(2). 1546–1561. 45 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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