Quansen Jiu

2.0k total citations
73 papers, 1.3k citations indexed

About

Quansen Jiu is a scholar working on Applied Mathematics, Mathematical Physics and Computational Mechanics. According to data from OpenAlex, Quansen Jiu has authored 73 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Applied Mathematics, 62 papers in Mathematical Physics and 29 papers in Computational Mechanics. Recurrent topics in Quansen Jiu's work include Navier-Stokes equation solutions (66 papers), Advanced Mathematical Physics Problems (61 papers) and Computational Fluid Dynamics and Aerodynamics (24 papers). Quansen Jiu is often cited by papers focused on Navier-Stokes equation solutions (66 papers), Advanced Mathematical Physics Problems (61 papers) and Computational Fluid Dynamics and Aerodynamics (24 papers). Quansen Jiu collaborates with scholars based in China, Hong Kong and United States. Quansen Jiu's co-authors include Zhouping Xin, Jiahong Wu, Huan Yu, Jiabao Su, Zhenhua Guo, Yi Wang, Changxing Miao, Zhifei Zhang, Yi Wang and Xiaojing Xu and has published in prestigious journals such as Communications in Mathematical Physics, Journal of Mathematical Analysis and Applications and Physica D Nonlinear Phenomena.

In The Last Decade

Quansen Jiu

68 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Quansen Jiu China 21 1.1k 932 519 404 139 73 1.3k
Marius Paicu France 19 1.3k 1.2× 1.1k 1.2× 556 1.1× 488 1.2× 97 0.7× 47 1.4k
Piotr B. Mucha Poland 16 839 0.7× 552 0.6× 352 0.7× 265 0.7× 152 1.1× 89 922
Daoyuan Fang China 20 945 0.8× 1.0k 1.1× 450 0.9× 289 0.7× 51 0.4× 91 1.2k
Sadek Gala Algeria 17 1.1k 0.9× 854 0.9× 209 0.4× 324 0.8× 175 1.3× 110 1.2k
Fucai Li China 16 834 0.7× 572 0.6× 403 0.8× 114 0.3× 88 0.6× 78 867
Yi Zhou China 22 1.3k 1.2× 1.4k 1.5× 434 0.8× 721 1.8× 82 0.6× 79 1.7k
Tetsuro Miyakawa Japan 20 1.7k 1.5× 1.1k 1.2× 453 0.9× 853 2.1× 536 3.9× 37 1.8k
Shinya Nishibata Japan 18 688 0.6× 475 0.5× 347 0.7× 108 0.3× 72 0.5× 33 724
Qiangchang Ju China 15 618 0.5× 452 0.5× 342 0.7× 55 0.1× 61 0.4× 66 689
Michael Wiegner Germany 14 699 0.6× 418 0.4× 137 0.3× 332 0.8× 300 2.2× 29 777

Countries citing papers authored by Quansen Jiu

Since Specialization
Citations

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

Fields of papers citing papers by Quansen Jiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quansen Jiu

This figure shows the co-authorship network connecting the top 25 collaborators of Quansen Jiu. A scholar is included among the top collaborators of Quansen Jiu 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 Quansen Jiu. Quansen Jiu 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.
Jiu, Quansen, et al.. (2025). Local well-posedness of strong solutions to the 2D nonhomogeneous primitive equations with density-dependent viscosity. Nonlinear Analysis Real World Applications. 85. 104337–104337. 1 indexed citations
2.
Jiu, Quansen, et al.. (2019). The D incompressible Navier–Stokes equations with partial hyperdissipation. Mathematische Nachrichten. 292(8). 1823–1836. 21 indexed citations
3.
Jiu, Quansen, et al.. (2018). The 3D incompressible magnetohydrodynamic equations with fractional partial dissipation. Journal of Differential Equations. 266(1). 630–652. 31 indexed citations
4.
Jiu, Quansen, Yi Wang, & Zhouping Xin. (2017). Global classical solution to two-dimensional compressible Navier–Stokes equations with large data in R2. Physica D Nonlinear Phenomena. 376-377. 180–194. 24 indexed citations
5.
Jiu, Quansen, Huan Yu, & Xiaoxin Zheng. (2017). Global well-posedness for axisymmetric MHD system with only vertical viscosity. Journal of Differential Equations. 263(5). 2954–2990. 12 indexed citations
6.
Jiu, Quansen, et al.. (2017). Uniqueness of the global weak solutions to 2D compressible primitive equations. Journal of Mathematical Analysis and Applications. 461(2). 1653–1671. 12 indexed citations
7.
Chazelle, Bernard, Quansen Jiu, Qianxiao Li, & Chu Wang. (2017). Well-posedness of the limiting equation of a noisy consensus model in opinion dynamics. Journal of Differential Equations. 263(1). 365–397. 22 indexed citations
8.
Jiu, Quansen & Zhouping Xin. (2015). On Liouville Theorems and Global Regularity to the 3-D Incompressible Axisymmetric Navier-Stokes Equations. arXiv (Cornell University). 1 indexed citations
9.
Jiu, Quansen, Mingjie Li, & Yulin Ye. (2014). Global classical solution of the Cauchy problem to 1D compressible Navier–Stokes equations with large initial data. Journal of Differential Equations. 257(2). 311–350. 15 indexed citations
10.
Jiu, Quansen, et al.. (2014). Global well-posedness for a class of 2D Boussinesq systems with fractional dissipation. Journal of Differential Equations. 257(11). 4188–4213. 41 indexed citations
11.
Jiu, Quansen, et al.. (2013). Remarks on partial regularity for suitable weak solutions of the incompressible magnetohydrodynamic equations. Journal of Mathematical Analysis and Applications. 409(2). 1052–1065. 3 indexed citations
12.
Jiu, Quansen, Yi Wang, & Zhouping Xin. (2013). Global well-posedness of the Cauchy problem of two-dimensional compressible Navier–Stokes equations in weighted spaces. Journal of Differential Equations. 255(3). 351–404. 45 indexed citations
13.
Jiu, Quansen, et al.. (2013). A remark on global regularity of 2D generalized magnetohydrodynamic equations. Journal of Mathematical Analysis and Applications. 412(1). 478–484. 39 indexed citations
14.
Jiu, Quansen & Xiaoxin Zheng. (2012). Global well‐posedness of the compressible Euler with damping in Besov spaces. Mathematical Methods in the Applied Sciences. 35(13). 1570–1586. 6 indexed citations
15.
Jiu, Quansen & Zhouping Xin. (2008). The Cauchy problem for 1D compressible flows with density-dependent viscosity coefficients. Kinetic and Related Models. 1(2). 313–330. 45 indexed citations
16.
Jiu, Quansen, et al.. (2008). Weak and strong solutions for the incompressible Navier–Stokes equations with damping. Journal of Mathematical Analysis and Applications. 343(2). 799–809. 135 indexed citations
17.
Jiu, Quansen & Zhouping Xin. (2007). On strong convergence to 3D steady vortex sheets. Journal of Differential Equations. 239(2). 448–470. 6 indexed citations
18.
Jiu, Quansen, et al.. (2007). Vanishing viscous limits for the 2D lake equations with Navier boundary conditions. Journal of Mathematical Analysis and Applications. 338(2). 1070–1080. 4 indexed citations
19.
Jiu, Quansen, et al.. (2001). On a nonhomogeneous Burgers’ equation. Science in China Series A Mathematics. 44(8). 984–993. 17 indexed citations
20.
Jiu, Quansen & Jun Liu. (1997). Existence and uniqueness of global solutions of onR 2. Acta Mathematicae Applicatae Sinica English Series. 13(4). 414–424. 3 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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