Shanbing Li

437 total citations
39 papers, 318 citations indexed

About

Shanbing Li is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Genetics. According to data from OpenAlex, Shanbing Li has authored 39 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Public Health, Environmental and Occupational Health, 28 papers in Modeling and Simulation and 21 papers in Genetics. Recurrent topics in Shanbing Li's work include Mathematical and Theoretical Epidemiology and Ecology Models (38 papers), Mathematical Biology Tumor Growth (25 papers) and Evolution and Genetic Dynamics (21 papers). Shanbing Li is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (38 papers), Mathematical Biology Tumor Growth (25 papers) and Evolution and Genetic Dynamics (21 papers). Shanbing Li collaborates with scholars based in China, Japan and Hong Kong. Shanbing Li's co-authors include Jianhua Wu, Sanyang Liu, Shunli Zhang, Yoshio Yamada, Hua Nie, Sanyang Liu, Ruyun Ma, Haifeng Zhang, Gaihui Guo and Mingxin Wang and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Journal of Differential Equations and Computers & Mathematics with Applications.

In The Last Decade

Shanbing Li

36 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shanbing Li China 11 295 170 167 69 54 39 318
Wenjie Ni Australia 9 257 0.9× 152 0.9× 128 0.8× 49 0.7× 34 0.6× 25 281
Shulin Sun China 12 246 0.8× 116 0.7× 123 0.7× 46 0.7× 62 1.1× 27 344
Sanling Yuan China 10 332 1.1× 198 1.2× 153 0.9× 112 1.6× 23 0.4× 19 381
Gaël Raoul France 11 209 0.7× 133 0.8× 226 1.4× 48 0.7× 49 0.9× 13 415
Hunki Baek South Korea 12 296 1.0× 168 1.0× 88 0.5× 97 1.4× 21 0.4× 38 360
Chufen Wu China 11 264 0.9× 165 1.0× 148 0.9× 56 0.8× 36 0.7× 31 337
Thomas Giletti France 12 339 1.1× 184 1.1× 149 0.9× 63 0.9× 49 0.9× 24 388
Xiongxiong Bao China 10 279 0.9× 113 0.7× 122 0.7× 51 0.7× 27 0.5× 27 314
Zhihua Liu China 14 437 1.5× 207 1.2× 208 1.2× 92 1.3× 17 0.3× 38 496

Countries citing papers authored by Shanbing Li

Since Specialization
Citations

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

Fields of papers citing papers by Shanbing Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanbing Li

This figure shows the co-authorship network connecting the top 25 collaborators of Shanbing Li. A scholar is included among the top collaborators of Shanbing Li 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 Shanbing Li. Shanbing Li 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.
Guo, Gaihui, et al.. (2025). Pattern formation with jump discontinuity in a predator–prey model with Holling-II functional response. European Journal of Applied Mathematics. 36(6). 1160–1182. 3 indexed citations
2.
Li, Shanbing, et al.. (2024). Coexistence states for a prey-predator model with cross-diffusion. Journal of Mathematical Analysis and Applications. 535(1). 128106–128106. 1 indexed citations
3.
Li, Shanbing, et al.. (2024). Global dynamics of an indirect prey-taxis system with an anti-predation mechanism. Journal of Differential Equations. 385. 424–462. 2 indexed citations
4.
5.
Cui, Lu & Shanbing Li. (2024). Coexistence states in a cross-diffusion system of a competition model. Nonlinear Analysis Real World Applications. 77. 104069–104069.
6.
Li, Shanbing & Mingxin Wang. (2023). Global bifurcation of coexistence states for a prey-taxis system with homogeneous Dirichlet boundary conditions. Zeitschrift für angewandte Mathematik und Physik. 74(5). 1 indexed citations
7.
Zhang, Haifeng, et al.. (2023). Existence, uniqueness and asymptotic behavior of solutions for a nonsmooth producer-grazer system with stoichiometric constraints. Applicable Analysis. 103(1). 65–87. 3 indexed citations
8.
Li, Shanbing & Jianhua Wu. (2023). Global bifurcation of coexistence states for a prey-predator model with prey-taxis/predator-taxis. Advanced Nonlinear Studies. 23(1). 5 indexed citations
9.
Li, Shanbing, et al.. (2021). Diffusive predator-prey models with fear effect in spatially heterogeneous environment. Electronic Journal of Differential Equations. 2021(01-104). 1 indexed citations
10.
Li, Shanbing, et al.. (2021). Long-time behavior of a class of diffusive predator–prey systems with fear cost and protection zone. Applied Mathematics Letters. 121. 107388–107388. 2 indexed citations
11.
Li, Shanbing, et al.. (2021). Qualitative behavior of a diffusive predator–prey–mutualist model. Zeitschrift für angewandte Mathematik und Physik. 73(1). 1 indexed citations
12.
Li, Shanbing, et al.. (2020). Uniqueness and multiplicity of positive solutions for a diffusive predator–prey model in the heterogeneous environment. Proceedings of the Royal Society of Edinburgh Section A Mathematics. 150(6). 3321–3348. 2 indexed citations
13.
Li, Shanbing & Jianhua Wu. (2018). Asymptotic behavior and stability of positive solutions to a spatially heterogeneous predator–prey system. Journal of Differential Equations. 265(8). 3754–3791. 17 indexed citations
14.
Li, Shanbing & Yoshio Yamada. (2017). Effect of cross-diffusion in the diffusion prey-predator model with a protection zone II. Journal of Mathematical Analysis and Applications. 461(1). 971–992. 17 indexed citations
15.
Li, Shanbing, et al.. (2017). Coexistence states for a Lotka‐Volterra symbiotic system with cross‐diffusion. Mathematical Methods in the Applied Sciences. 41(1). 353–370. 2 indexed citations
16.
Li, Shanbing, Jianhua Wu, & Hua Nie. (2015). Steady-state bifurcation and Hopf bifurcation for a diffusive Leslie–Gower predator–prey model. Computers & Mathematics with Applications. 70(12). 3043–3056. 23 indexed citations
17.
Li, Shanbing, et al.. (2015). Turing patterns in a reaction–diffusion model with the Degn–Harrison reaction scheme. Journal of Differential Equations. 259(5). 1990–2029. 31 indexed citations
18.
Li, Shanbing, et al.. (2015). Uniqueness and stability of a predator–prey model with C–M functional response. Computers & Mathematics with Applications. 69(10). 1080–1095. 22 indexed citations
19.
Li, Shanbing & Jianhua Wu. (2015). Qualitative Analysis of a Predator-Prey Model with Predator Saturation and Competition. Acta Applicandae Mathematicae. 141(1). 165–185. 11 indexed citations
20.
Li, Shanbing, et al.. (2014). Multiplicity and Uniqueness of Positive Solutions for a Predator–Prey Model with C–M Functional Response. Acta Applicandae Mathematicae. 139(1). 187–206. 9 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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