Yanbin Tang

633 total citations
62 papers, 499 citations indexed

About

Yanbin Tang is a scholar working on Applied Mathematics, Control and Systems Engineering and Mathematical Physics. According to data from OpenAlex, Yanbin Tang has authored 62 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Applied Mathematics, 25 papers in Control and Systems Engineering and 23 papers in Mathematical Physics. Recurrent topics in Yanbin Tang's work include Stability and Controllability of Differential Equations (24 papers), Navier-Stokes equation solutions (20 papers) and Advanced Mathematical Physics Problems (18 papers). Yanbin Tang is often cited by papers focused on Stability and Controllability of Differential Equations (24 papers), Navier-Stokes equation solutions (20 papers) and Advanced Mathematical Physics Problems (18 papers). Yanbin Tang collaborates with scholars based in China, Italy and Sudan. Yanbin Tang's co-authors include Li Zhou, Ming Wang, Xing Wu, Edoardo Beretta, Chengjian Zhang, Dongfang Li, Jinliang Wang, Tao Chen, Yongqiang Zhao and Zhe Chen and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Chaos Solitons & Fractals and Applied Mathematics and Computation.

In The Last Decade

Yanbin Tang

55 papers receiving 476 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanbin Tang China 13 252 195 179 142 108 62 499
Ming Mei China 10 214 0.8× 88 0.5× 164 0.9× 271 1.9× 53 0.5× 24 464
Yuanwei Qi United States 14 352 1.4× 152 0.8× 203 1.1× 221 1.6× 171 1.6× 56 604
Christian Pötzsche Germany 15 287 1.1× 395 2.0× 104 0.6× 128 0.9× 95 0.9× 77 688
Guangying Lv China 13 204 0.8× 95 0.5× 121 0.7× 288 2.0× 70 0.6× 79 565
Pablo Amster Argentina 14 350 1.4× 118 0.6× 117 0.7× 90 0.6× 193 1.8× 96 632
Adam Chmaj United States 9 321 1.3× 202 1.0× 148 0.8× 364 2.6× 236 2.2× 13 792
Chenyin Qian China 12 367 1.5× 106 0.5× 129 0.7× 135 1.0× 66 0.6× 53 428
Alexander V. Rezounenko Ukraine 12 205 0.8× 333 1.7× 63 0.4× 151 1.1× 136 1.3× 30 461
Chi-Tien Lin Taiwan 7 173 0.7× 76 0.4× 81 0.5× 235 1.7× 49 0.5× 10 534
Changbing Hu United States 9 139 0.6× 115 0.6× 73 0.4× 101 0.7× 67 0.6× 15 275

Countries citing papers authored by Yanbin Tang

Since Specialization
Citations

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

Fields of papers citing papers by Yanbin Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanbin Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Yanbin Tang. A scholar is included among the top collaborators of Yanbin Tang 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 Yanbin Tang. Yanbin Tang 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.
Zhao, Dan, Yanbin Tang, & Dongfang Li. (2025). A Linearly Implicit and Structure‐Preserving Scheme for the Ginzburg–Landau–Schrödinger Equation. Numerical Methods for Partial Differential Equations. 41(6).
2.
Tang, Yanbin, et al.. (2024). Homogenization of the distribution-dependent stochastic abstract fluid models. Journal of Differential Equations. 423. 41–80.
3.
Ma, Hongru & Yanbin Tang. (2023). Homogenization of a semilinear elliptic problem in a thin composite domain with an imperfect interface. Mathematical Methods in the Applied Sciences. 46(18). 19329–19350. 2 indexed citations
4.
Sun, Chengfeng, et al.. (2023). Ergodicity for two class stochastic partial differential equations with anisotropic viscosity. Statistics & Probability Letters. 207. 110022–110022.
5.
Tang, Yanbin, et al.. (2023). Homogenization of non-local nonlinear p-Laplacian equation with variable index and periodic structure. Journal of Mathematical Physics. 64(6). 4 indexed citations
6.
Huang, Jianhua, Yanbin Tang, & Ming Wang. (2020). Singular support of the global attractor for a damped BBM equation. Discrete and Continuous Dynamical Systems - B. 26(10). 5321–5335. 1 indexed citations
7.
Tang, Yanbin, et al.. (2020). The second-order parabolic PDEs with singular coefficients and applications. Stochastic Analysis and Applications. 38(6). 1102–1121. 5 indexed citations
8.
Tang, Yanbin, et al.. (2019). Decay estimates of nonlocal diffusion equations in some particle systems. Journal of Mathematical Physics. 60(4). 8 indexed citations
9.
Wu, Xing, et al.. (2016). Global regularity of the 2D liquid crystal equations with weak velocity dissipation. Computers & Mathematics with Applications. 74(5). 920–933. 6 indexed citations
10.
Wang, Ming, et al.. (2015). Higher regularity of global attractors of a weakly dissipative fractional Korteweg de Vries equation. Journal of Mathematical Physics. 56(12). 10 indexed citations
11.
Tang, Yanbin, et al.. (2015). Local well-posedness of generalized BBM equations with generalized damping on 1D torus. Boundary Value Problems. 2015(1). 6 indexed citations
12.
Tang, Yanbin, et al.. (2014). Blow-up for the weakly dissipative generalized Camassa-Holm equation. Journal of Inequalities and Applications. 2014(1). 1 indexed citations
13.
Wang, Ming & Yanbin Tang. (2013). Long time dynamics of 2D quasi-geostrophic equations with damping in Lp. Journal of Mathematical Analysis and Applications. 412(2). 866–877. 14 indexed citations
14.
Wang, Ming & Yanbin Tang. (2013). On dimension of the global attractor for 2D quasi-geostrophic equations. Nonlinear Analysis Real World Applications. 14(4). 1887–1895. 19 indexed citations
15.
Wang, Ming, Dongfang Li, Chengjian Zhang, & Yanbin Tang. (2012). Long time behavior of solutions of gKdV equations. Journal of Mathematical Analysis and Applications. 390(1). 136–150. 24 indexed citations
16.
Wang, Ming & Yanbin Tang. (2012). Attractors in $H^2$ and $L^{2p-2}$ for reaction diffusion equations on unbounded domains. Communications on Pure & Applied Analysis. 12(2). 1111–1121. 13 indexed citations
17.
Chen, Tao, Zhe Chen, & Yanbin Tang. (2011). Finite dimensionality of global attractors for a non-classical reaction–diffusion equation with memory. Applied Mathematics Letters. 25(3). 357–362. 12 indexed citations
18.
Tang, Yanbin & Li Zhou. (2007). Stability switch and Hopf bifurcation for a diffusive prey–predator system with delay. Journal of Mathematical Analysis and Applications. 334(2). 1290–1307. 25 indexed citations
19.
Wang, Jinliang, Li Zhou, & Yanbin Tang. (2005). Asymptotic periodicity of a food-limited diffusive population model with time-delay. Journal of Mathematical Analysis and Applications. 313(2). 381–399. 15 indexed citations
20.
Beretta, Edoardo & Yanbin Tang. (2003). Extension of a Geometric Stability Switch Criterion. Funkcialaj Ekvacioj. 46(3). 337–361. 12 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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