Rubin Wang
- Cognitive Neuroscience top 1%
- Neural dynamics and brain function 83
- EEG and Brain-Computer Interfaces 28
- Memory and Neural Mechanisms 14
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- stochastic dynamics and bifurcation 38
- Biochemistry top 2%
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- Neuroscience and Neural Engineering 19
- Photoreceptor and optogenetics research 14
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- Nonlinear Dynamics and Pattern Formation 16
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- Advanced Memory and Neural Computing 14
- Co-authors
- Eric J. LienShijun RenHuynh‐Hoa BuiJianhua ZhangZhikang ZhangXuying XuXiaochuan PanZhong Yin
- Journals
- Nonlinear Dynamics (12 papers)Neurocomputing (8 papers)Frontiers in Neuroscience (4 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Rubin Wang
179 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 168
- Cognitive Neuroscience 1.4k
- Statistical and Nonlinear Physics 615
- Biochemistry 227
- Cellular and Molecular Neuroscience 623
- Complementary and alternative medicine 147
Countries citing papers authored by Rubin Wang
This map shows the geographic impact of Rubin 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 Rubin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rubin Wang more than expected).
Fields of papers citing papers by Rubin Wang
This network shows the impact of papers produced by Rubin 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 Rubin Wang. The network helps show where Rubin Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rubin 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 25 | |
| 3 | 2022 | 13 | |
| 4 | 2021 | 11 | |
| 5 | Habitat selection of overwintering common crane (Grus grus) based on individuals tracking by satellite technology. | 2020 | 1 |
| 6 | 2020 | 1 | |
| 7 | 2018 | 92 | |
| 8 | 2017 | 7 | |
| 9 | 2016 | 23 | |
| 10 | 2016 | 34 | |
| 11 | 2016 | 16 | |
| 12 | 2014 | 32 | |
| 13 | 2014 | 17 | |
| 14 | 2014 | 21 | |
| 15 | 2013 | 5 | |
| 16 | 2013 | 14 | |
| 17 | 2008 | 4 | |
| 18 | A Review on the Cognitive Study of Fabric Hand | 2007 | 2 |
| 19 | 2004 | 59 | |
| 20 | 2001 | 44 |
About Rubin Wang
Rubin Wang is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics, Cellular and Molecular Neuroscience, Sensory Systems and Medical Laboratory Technology, having authored 183 papers that have together received 3.5k indexed citations. Recurring topics across this work include Neural dynamics and brain function (83 papers), stochastic dynamics and bifurcation (38 papers), EEG and Brain-Computer Interfaces (28 papers), Neuroscience and Neural Engineering (19 papers), Nonlinear Dynamics and Pattern Formation (16 papers), Photoreceptor and optogenetics research (14 papers), Advanced Memory and Neural Computing (14 papers) and Memory and Neural Mechanisms (14 papers). The work is most often cited by research in Cognitive Neuroscience (1.4k citations), Statistical and Nonlinear Physics (615 citations), Biochemistry (227 citations), Cellular and Molecular Neuroscience (623 citations) and Complementary and alternative medicine (147 citations). Rubin Wang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Eric J. Lien, Shijun Ren, Huynh‐Hoa Bui, Jianhua Zhang, Zhikang Zhang, Xuying Xu, Zhikang Zhang, Xiaochuan Pan, Zhong Yin and Yating Zhu. Their work appears in journals such as Nonlinear Dynamics, Neurocomputing, Frontiers in Neuroscience, Fibers and Polymers and Applied Mathematics and Mechanics.
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.