Shanbing Li
Impact in
- Modeling and Simulation top 2%
- Mathematical Biology Tumor Growth
- Fractional Differential Equations Solutions
-
- Mathematical and Theoretical Epidemiology and Ecology Models
Papers in
-
- Mathematical and Theoretical Epidemiology and Ecology Models 38
-
- Mathematical Biology Tumor Growth 25
- Fractional Differential Equations Solutions 3
- Co-authors
- Jianhua Wu (15 shared papers)Sanyang Liu (1 shared paper)Shunli Zhang (3 shared papers)Yoshio Yamada (1 shared paper)Hua Nie (1 shared paper)Ruyun Ma (1 shared paper)Gaihui Guo (2 shared papers)Haifeng Zhang (1 shared paper)
In The Last Decade
Shanbing Li
36 papers receiving 307 citations
Peers
Comparison fields: 5 of 26
- Modeling and Simulation 167
- Public Health, Environmental and Occupational Health 295
- Genetics 170
- Mathematical Physics 54
- Applied Mathematics 47
Countries citing papers authored by Shanbing Li
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
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-authors
The 12 scholars most cited alongside Shanbing Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 32 | |
| 2 | 2015 | 31 | |
| 3 | 2015 | 23 | |
| 4 | 2015 | 22 | |
| 5 | 2016 | 21 | |
| 6 | 2017 | 17 | |
| 7 | 2018 | 17 | |
| 8 | 2015 | 15 | |
| 9 | 2017 | 15 | |
| 10 | 2016 | 14 | |
| 11 | 2015 | 11 | |
| 12 | 2018 | 10 | |
| 13 | 2014 | 9 | |
| 14 | 2019 | 9 | |
| 15 | 2020 | 9 | |
| 16 | 2016 | 6 | |
| 17 | 2020 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2023 | 5 | |
| 20 | 2018 | 4 |
About Shanbing Li
Shanbing Li is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation, Genetics, Applied Mathematics and Computer Networks and Communications, having authored 39 papers that have together received 318 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (38 papers), Mathematical Biology Tumor Growth (25 papers), Evolution and Genetic Dynamics (21 papers), Nonlinear Differential Equations Analysis (10 papers), Nonlinear Dynamics and Pattern Formation (7 papers), Stochastic processes and statistical mechanics (4 papers), Fractional Differential Equations Solutions (3 papers) and Evolutionary Game Theory and Cooperation (2 papers). The work is most often cited by research in Modeling and Simulation (167 citations), Public Health, Environmental and Occupational Health (295 citations), Genetics (170 citations), Mathematical Physics (54 citations) and Applied Mathematics (47 citations). Shanbing Li has collaborated with scholars based in China, Hong Kong and Japan. Frequent co-authors include Jianhua Wu, Sanyang Liu, Shunli Zhang, Yoshio Yamada, Hua Nie, Sanyang Liu, Ruyun Ma, Gaihui Guo, Haifeng Zhang and Mingxin Wang. Their work appears in journals such as Nonlinear Analysis Real World Applications, Journal of Differential Equations, Calculus of Variations and Partial Differential Equations, Computers & Mathematics with Applications and Zeitschrift für angewandte Mathematik und Physik.
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.