Sheng-Jun Wang
Impact in
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- stochastic dynamics and bifurcation
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- Cancer-related molecular mechanisms research
Papers in
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- Complex Network Analysis Techniques 9
- stochastic dynamics and bifurcation 8
- Chaos control and synchronization 5
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- Nonlinear Dynamics and Pattern Formation 9
- Neural Networks Stability and Synchronization 6
- Co-authors
- Changsong Zhou (4 shared papers)Claus C. Hilgetag (2 shared papers)Jie Ma (3 shared papers)Xinyi Tang (3 shared papers)Yuhan Chen (1 shared paper)Kai Yin (3 shared papers)Dongwei Zhu (3 shared papers)Selvaraj Muthusamy (3 shared papers)
- Journals
- Physical review. E (5 papers)Scientific Reports (3 papers)International Journal of Modern Physics C (3 papers)Chinese Physics Letters (2 papers)Cytokine & Growth Factor Reviews (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Sheng-Jun Wang
53 papers receiving 662 citations
Peers
Comparison fields: 5 of 102
- Statistical and Nonlinear Physics 117
- Cancer Research 119
- Cognitive Neuroscience 134
- Spectroscopy 113
- Biochemistry 44
Countries citing papers authored by Sheng-Jun Wang
This map shows the geographic impact of Sheng-Jun 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 Sheng-Jun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheng-Jun Wang more than expected).
Fields of papers citing papers by Sheng-Jun Wang
This network shows the impact of papers produced by Sheng-Jun 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 Sheng-Jun Wang. The network helps show where Sheng-Jun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Sheng-Jun 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 77 | |
| 2 | 2018 | 58 | |
| 3 | 2020 | 55 | |
| 4 | 2019 | 53 | |
| 5 | 2021 | 53 | |
| 6 | 2017 | 35 | |
| 7 | 2019 | 34 | |
| 8 | 2022 | 32 | |
| 9 | 2020 | 28 | |
| 10 | 2021 | 24 | |
| 11 | 2008 | 20 | |
| 12 | 2019 | 19 | |
| 13 | 2008 | 15 | |
| 14 | 2020 | 15 | |
| 15 | 2021 | 14 | |
| 16 | 2007 | 13 | |
| 17 | 2014 | 13 | |
| 18 | 2009 | 11 | |
| 19 | 2015 | 9 | |
| 20 | 2002 | 9 |
About Sheng-Jun Wang
Sheng-Jun Wang is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Cognitive Neuroscience, Artificial Intelligence and Molecular Biology, having authored 57 papers that have together received 678 indexed citations. Recurring topics across this work include Neural dynamics and brain function (14 papers), Nonlinear Dynamics and Pattern Formation (9 papers), Complex Network Analysis Techniques (9 papers), stochastic dynamics and bifurcation (8 papers), Theoretical and Computational Physics (6 papers), Neural Networks Stability and Synchronization (6 papers), Chaos control and synchronization (5 papers) and Neural Networks and Reservoir Computing (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (117 citations), Cancer Research (119 citations), Cognitive Neuroscience (134 citations), Spectroscopy (113 citations) and Biochemistry (44 citations). Sheng-Jun Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Changsong Zhou, Claus C. Hilgetag, Jie Ma, Xinyi Tang, Yuhan Chen, Kai Yin, Dongwei Zhu, Selvaraj Muthusamy, Long Zhao and Ying-Hai Wang. Their work appears in journals such as Physical review. E, Scientific Reports, International Journal of Modern Physics C, Chinese Physics Letters and Cytokine & Growth Factor Reviews.
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.