Guowei Wang
Impact in
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- stochastic dynamics and bifurcation
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
Papers in
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- stochastic dynamics and bifurcation 18
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- Neural dynamics and brain function 16
- Co-authors
- Ya Jia (12 shared papers)Dong Yu (6 shared papers)Qianming Ding (5 shared papers)Tianyu Li (3 shared papers)Lulu Lu (3 shared papers)Lijian Yang (2 shared papers)Mengyan Ge (3 shared papers)Ying Xu (2 shared papers)
In The Last Decade
Guowei Wang
71 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 116
- Statistical and Nonlinear Physics 438
- Cognitive Neuroscience 383
- Computer Networks and Communications 245
- Biological Psychiatry 18
- Pharmaceutical Science 40
Countries citing papers authored by Guowei Wang
This map shows the geographic impact of Guowei 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 Guowei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guowei Wang more than expected).
Fields of papers citing papers by Guowei Wang
This network shows the impact of papers produced by Guowei 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 Guowei Wang. The network helps show where Guowei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Guowei 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 138 | |
| 2 | 2022 | 60 | |
| 3 | 2021 | 57 | |
| 4 | 2021 | 53 | |
| 5 | 2022 | 50 | |
| 6 | 2022 | 49 | |
| 7 | 2022 | 44 | |
| 8 | 2020 | 43 | |
| 9 | 2021 | 41 | |
| 10 | 2021 | 38 | |
| 11 | 2022 | 36 | |
| 12 | 2019 | 34 | |
| 13 | 2020 | 33 | |
| 14 | 2011 | 30 | |
| 15 | 2024 | 30 | |
| 16 | 2010 | 26 | |
| 17 | 2014 | 24 | |
| 18 | 2020 | 24 | |
| 19 | 2013 | 22 | |
| 20 | 2021 | 20 |
About Guowei Wang
Guowei Wang is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience, Computer Networks and Communications, Molecular Biology and Atomic and Molecular Physics, and Optics, having authored 77 papers that have together received 1.1k indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (18 papers), Neural dynamics and brain function (16 papers), Nonlinear Dynamics and Pattern Formation (10 papers), Semiconductor Quantum Structures and Devices (8 papers), Natural product bioactivities and synthesis (8 papers), Biological Activity of Diterpenoids and Biflavonoids (6 papers), Phytochemical compounds biological activities (5 papers) and Advanced Semiconductor Detectors and Materials (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (438 citations), Cognitive Neuroscience (383 citations), Computer Networks and Communications (245 citations), Biological Psychiatry (18 citations) and Pharmaceutical Science (40 citations). Guowei Wang has collaborated with scholars based in China, France and Hong Kong. Frequent co-authors include Ya Jia, Dong Yu, Qianming Ding, Tianyu Li, Lulu Lu, Lijian Yang, Mengyan Ge, Ying Xu, Weidong Zhang and Tianyu Li. Their work appears in journals such as Nonlinear Dynamics, Chaos Solitons & Fractals, Phytochemistry Reviews, Mathematical Biosciences & Engineering and PLoS ONE.
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.