Xiaowei Gu
Impact in
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Neuroscience and Neuropharmacology Research
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Memory and Neural Mechanisms
Papers in
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- Neuroscience and Neural Engineering 8
- Photoreceptor and optogenetics research 3
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- Neural dynamics and brain function 6
- Co-authors
- Chengyu Li (8 shared papers)Hongmei Fan (2 shared papers)Ruiqing Hou (2 shared papers)Liang Zou (1 shared paper)Mingde Du (1 shared paper)Yan Zhao (1 shared paper)Shouliang Guan (1 shared paper)Lei Gao (1 shared paper)
- Journals
- Biosensors and Bioelectronics (3 papers)Advanced Optical Materials (1 paper)IEEE Transactions on Electron Devices (1 paper)Nature (1 paper)Journal of Materials Chemistry C (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Xiaowei Gu
13 papers receiving 490 citations
Peers
Comparison fields: 5 of 55
- Cellular and Molecular Neuroscience 347
- Cognitive Neuroscience 246
- Polymers and Plastics 74
- Sensory Systems 17
- Behavioral Neuroscience 12
Countries citing papers authored by Xiaowei Gu
This map shows the geographic impact of Xiaowei Gu'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 Xiaowei Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaowei Gu more than expected).
Fields of papers citing papers by Xiaowei Gu
This network shows the impact of papers produced by Xiaowei Gu. 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 Xiaowei Gu. The network helps show where Xiaowei Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaowei Gu, 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 | 2019 | 173 | |
| 2 | 2014 | 153 | |
| 3 | 2019 | 47 | |
| 4 | 2017 | 38 | |
| 5 | 2017 | 19 | |
| 6 | 2018 | 18 | |
| 7 | 2019 | 16 | |
| 8 | 2019 | 14 | |
| 9 | 2017 | 7 | |
| 10 | 2008 | 5 | |
| 11 | 2025 | 1 | |
| 12 | 2020 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2025 | 0 |
About Xiaowei Gu
Xiaowei Gu is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Electrical and Electronic Engineering, Biomedical Engineering and Polymers and Plastics, having authored 14 papers that have together received 493 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (8 papers), Neural dynamics and brain function (6 papers), Photoreceptor and optogenetics research (3 papers), Chalcogenide Semiconductor Thin Films (2 papers), Quantum Dots Synthesis And Properties (2 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), Conducting polymers and applications (2 papers) and Advanced Memory and Neural Computing (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (347 citations), Cognitive Neuroscience (246 citations), Polymers and Plastics (74 citations), Sensory Systems (17 citations) and Behavioral Neuroscience (12 citations). Xiaowei Gu has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Chengyu Li, Hongmei Fan, Ruiqing Hou, Liang Zou, Mingde Du, Yan Zhao, Shouliang Guan, Lei Gao, Ying Fang and Jinfen Wang. Their work appears in journals such as Biosensors and Bioelectronics, Advanced Optical Materials, IEEE Transactions on Electron Devices, Nature and Journal of Materials Chemistry C.
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.