Yaobin Ou

705 total citations
36 papers, 460 citations indexed

About

Yaobin Ou is a scholar working on Applied Mathematics, Mathematical Physics and Computational Mechanics. According to data from OpenAlex, Yaobin Ou has authored 36 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Applied Mathematics, 22 papers in Mathematical Physics and 22 papers in Computational Mechanics. Recurrent topics in Yaobin Ou's work include Navier-Stokes equation solutions (32 papers), Advanced Mathematical Physics Problems (22 papers) and Computational Fluid Dynamics and Aerodynamics (19 papers). Yaobin Ou is often cited by papers focused on Navier-Stokes equation solutions (32 papers), Advanced Mathematical Physics Problems (22 papers) and Computational Fluid Dynamics and Aerodynamics (19 papers). Yaobin Ou collaborates with scholars based in China, Spain and Hong Kong. Yaobin Ou's co-authors include Song Jiang, Jishan Fan, Qishun Shen, Zhuangqi Cao, Min Fu, Xiafei Hong, Yupei Zhao, Xinqi Gong, Lu Yang and Wenming Wu and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Journal of Differential Equations and Journal of Mathematical Physics.

In The Last Decade

Yaobin Ou

34 papers receiving 427 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaobin Ou China 12 326 214 202 43 39 36 460
Donghe Pei China 17 619 1.9× 182 0.9× 77 0.4× 12 0.3× 15 0.4× 98 824
M. Yu. Kokurin Russia 8 130 0.4× 94 0.4× 354 1.8× 10 0.2× 40 1.0× 61 434
Alexander Shnirelman Canada 9 308 0.9× 169 0.8× 130 0.6× 31 0.7× 17 0.4× 19 420
Xingwei Zhou China 17 564 1.7× 142 0.7× 79 0.4× 14 0.3× 83 2.1× 38 636
Wai-Shing Tang Singapore 11 287 0.9× 86 0.4× 81 0.4× 3 0.1× 55 1.4× 22 395
Demetrio Stojanoff Argentina 13 352 1.1× 52 0.2× 209 1.0× 13 0.3× 28 0.7× 47 458
Salvador Moll Spain 10 167 0.5× 52 0.2× 67 0.3× 27 0.6× 8 0.2× 28 288
Jun Xian China 10 216 0.7× 90 0.4× 67 0.3× 13 0.3× 55 1.4× 44 325
Kirk E. Lancaster United States 10 186 0.6× 36 0.2× 60 0.3× 11 0.3× 52 1.3× 41 345
Antonio Córdoba United States 8 282 0.9× 35 0.2× 162 0.8× 27 0.6× 5 0.1× 18 356

Countries citing papers authored by Yaobin Ou

Since Specialization
Citations

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

Fields of papers citing papers by Yaobin Ou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaobin Ou

This figure shows the co-authorship network connecting the top 25 collaborators of Yaobin Ou. A scholar is included among the top collaborators of Yaobin Ou 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 Yaobin Ou. Yaobin Ou 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.
Ou, Yaobin, et al.. (2023). Incompressible limit of isentropic magnetohydrodynamic equations with ill-prepared data in bounded domains. Journal of Mathematical Physics. 64(3). 3 indexed citations
2.
Ou, Yaobin, et al.. (2023). On the incompressible and non-resistive limit of 3D compressible magnetohydrodynamic equations in bounded domains. Nonlinear Analysis Real World Applications. 77. 104047–104047. 1 indexed citations
3.
Hu, Xianpeng, Yaobin Ou, Dehua Wang, & Lu Yang. (2023). Incompressible limit for compressible viscoelastic flows with large velocity. Advances in Nonlinear Analysis. 12(1). 4 indexed citations
4.
Ou, Yaobin & Lu Yang. (2022). Incompressible Limit of Isentropic Navier--Stokes Equations with Ill-Prepared Data in Bounded Domains. SIAM Journal on Mathematical Analysis. 54(3). 2948–2989. 8 indexed citations
5.
Ou, Yaobin, et al.. (2022). Convergence rate of fully compressible Navier-Stokes equations in three-dimensional bounded domains. Discrete and Continuous Dynamical Systems - B. 28(3). 1673–1695. 1 indexed citations
6.
7.
Ou, Yaobin & Lu Yang. (2019). Incompressible limit of non-isentropic compressible magnetohydrodynamic equations with zero magnetic diffusivity in bounded domains. Nonlinear Analysis Real World Applications. 49. 1–23. 4 indexed citations
8.
Ou, Yaobin, et al.. (2019). Global strong solutions to 1-D vacuum free boundary problem for compressible Navier–Stokes equations with variable viscosity and thermal conductivity. Journal of Mathematical Analysis and Applications. 474(2). 1153–1177. 2 indexed citations
9.
Ou, Yaobin, et al.. (2018). Large time behaviors of strong solutions to magnetohydrodynamic equations with free boundary and degenerate viscosity. Journal of Mathematical Physics. 59(8). 6 indexed citations
10.
Fu, Min, Wenming Wu, Xiafei Hong, et al.. (2018). Hierarchical combinatorial deep learning architecture for pancreas segmentation of medical computed tomography cancer images. BMC Systems Biology. 12(S4). 56–56. 63 indexed citations
11.
12.
Ou, Yaobin, et al.. (2016). Incompressible limit of all-time solutions to 3-D full Navier–Stokes equations for perfect gas with well-prepared initial condition. Zeitschrift für angewandte Mathematik und Physik. 67(4). 2 indexed citations
13.
Ou, Yaobin & Huihui Zeng. (2015). Global strong solutions to the vacuum free boundary problem for compressible Navier–Stokes equations with degenerate viscosity and gravity force. Journal of Differential Equations. 259(11). 6803–6829. 16 indexed citations
14.
Ou, Yaobin, et al.. (2015). Incompressible limit of full compressible magnetohydrodynamic equations with well-prepared data in 3-D bounded domains. Journal of Mathematical Analysis and Applications. 427(1). 263–288. 23 indexed citations
15.
Fan, Jishan & Yaobin Ou. (2014). Uniform existence of the 1-D full equations for a thermo-radiative electromagnetic fluid. Nonlinear Analysis. 106. 151–158. 3 indexed citations
16.
Ou, Yaobin, et al.. (2014). Incompressible limit of global strong solutions to 3-D barotropic Navier–Stokes equations with well-prepared initial data and Navier's slip boundary conditions. Journal of Mathematical Analysis and Applications. 420(2). 1316–1336. 12 indexed citations
17.
Jiang, Song, et al.. (2014). Low Mach number limit of full Navier–Stokes equations in a 3D bounded domain. Journal of Differential Equations. 258(2). 379–398. 40 indexed citations
18.
Jiang, Song & Yaobin Ou. (2011). Incompressible limit of the non-isentropic Navier–Stokes equations with well-prepared initial data in three-dimensional bounded domains. Journal de Mathématiques Pures et Appliquées. 96(1). 1–28. 48 indexed citations
19.
Ou, Yaobin. (2011). Low Mach number limit of viscous polytropic fluid flows. Journal of Differential Equations. 251(8). 2037–2065. 12 indexed citations
20.
Ou, Yaobin. (2009). Incompressible limits of the Navier–Stokes equations for all time. Journal of Differential Equations. 247(12). 3295–3314. 18 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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