Canjun Wang
Impact in
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- stochastic dynamics and bifurcation
- Chaos control and synchronization
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
Papers in
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- stochastic dynamics and bifurcation 45
- Chaos control and synchronization 4
- Statistical Mechanics and Entropy 3
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- Mathematical Biology Tumor Growth 3
- Co-authors
- Ke-Li Yang (18 shared papers)Dong-Cheng Mei (9 shared papers)Ming Yi (5 shared papers)Qun Wei (3 shared papers)Yuangen Yao (3 shared papers)Rong Gui (2 shared papers)Lijian Yang (1 shared paper)Xuan Zhan (1 shared paper)
In The Last Decade
Canjun Wang
66 papers receiving 692 citations
Peers
Comparison fields: 5 of 50
- Statistical and Nonlinear Physics 534
- Modeling and Simulation 53
- Computer Networks and Communications 43
- Finance 19
- Public Health, Environmental and Occupational Health 53
Countries citing papers authored by Canjun Wang
This map shows the geographic impact of Canjun Wang'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 Canjun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Canjun Wang more than expected).
Fields of papers citing papers by Canjun Wang
This network shows the impact of papers produced by Canjun Wang. 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 Canjun Wang. The network helps show where Canjun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Canjun Wang, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 69 | |
| 2 | 2017 | 39 | |
| 3 | 2018 | 36 | |
| 4 | 2007 | 35 | |
| 5 | 2018 | 33 | |
| 6 | 2014 | 27 | |
| 7 | 2007 | 25 | |
| 8 | 2016 | 25 | |
| 9 | 2010 | 21 | |
| 10 | 2017 | 20 | |
| 11 | 2007 | 19 | |
| 12 | 2023 | 19 | |
| 13 | 2019 | 17 | |
| 14 | 2015 | 16 | |
| 15 | 2016 | 15 | |
| 16 | 2017 | 15 | |
| 17 | 2021 | 15 | |
| 18 | Vibrational Resonance in Bistable Gene Transcriptional Regulatory System | 2012 | 14 |
| 19 | 2008 | 13 | |
| 20 | 2011 | 13 |
About Canjun Wang
Canjun Wang is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation, Computer Networks and Communications, Control and Systems Engineering and Mathematical Physics, having authored 68 papers that have together received 738 indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (45 papers), Nonlinear Dynamics and Pattern Formation (5 papers), Chaos control and synchronization (4 papers), Machine Fault Diagnosis Techniques (3 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers), Mathematical Biology Tumor Growth (3 papers), Statistical Mechanics and Entropy (3 papers) and Mathematical Dynamics and Fractals (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (534 citations), Modeling and Simulation (53 citations), Computer Networks and Communications (43 citations), Finance (19 citations) and Public Health, Environmental and Occupational Health (53 citations). Canjun Wang has collaborated with scholars based in China and Russia. Frequent co-authors include Ke-Li Yang, Dong-Cheng Mei, Ming Yi, Qun Wei, Yuangen Yao, Rong Gui, Lijian Yang, Xuan Zhan, Ya Jia and Baobing Zheng. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Chaos Solitons & Fractals, Materials, Nonlinear Dynamics and Physics Letters A.
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.