Weibo Yi
Impact in
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Human-Computer Interaction top 5%
- Gaze Tracking and Assistive Technology
Papers in
-
- EEG and Brain-Computer Interfaces 36
- Functional Brain Connectivity Studies 7
- Neural and Behavioral Psychology Studies 7
-
- Neuroscience and Neural Engineering 21
- Co-authors
- Dong MingHongzhi QiShuang QiuLixin ZhangFeng HeKun WangBaikun WanPeng Zhou
- Journals
- Journal of Neural Engineering (9 papers)Frontiers in Neuroscience (4 papers)IEEE Transactions on Neural Systems and Rehabilitation Engineering (4 papers)Neural Networks (2 papers)Journal of NeuroEngineering and Rehabilitation (2 papers)
- Partner nations
- ChinaSwitzerlandUnited Arab Emirates
In The Last Decade
Weibo Yi
34 papers receiving 642 citations
Peers
Comparison fields: 5 of 60
- Cognitive Neuroscience 576
- Human-Computer Interaction 104
- Cellular and Molecular Neuroscience 260
- Signal Processing 75
- Neurology 51
Countries citing papers authored by Weibo Yi
This map shows the geographic impact of Weibo Yi'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 Weibo Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weibo Yi more than expected).
Fields of papers citing papers by Weibo Yi
This network shows the impact of papers produced by Weibo Yi. 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 Weibo Yi. The network helps show where Weibo Yi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Weibo Yi, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 14 | |
| 6 | 2023 | 22 | |
| 7 | 2023 | 18 | |
| 8 | 2023 | 20 | |
| 9 | 2023 | 26 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 13 | |
| 12 | 2023 | 2 | |
| 13 | 2021 | 14 | |
| 14 | 2021 | 13 | |
| 15 | 2021 | 6 | |
| 16 | 2019 | 12 | |
| 17 | 2019 | 1 | |
| 18 | 2019 | 6 | |
| 19 | 2016 | 48 | |
| 20 | 2014 | 62 |
About Weibo Yi
Weibo Yi is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Human-Computer Interaction, Neurology and Experimental and Cognitive Psychology, having authored 39 papers that have together received 649 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (36 papers), Neuroscience and Neural Engineering (21 papers), Advanced Memory and Neural Computing (12 papers), Muscle activation and electromyography studies (8 papers), Functional Brain Connectivity Studies (7 papers), Neural and Behavioral Psychology Studies (7 papers), Gaze Tracking and Assistive Technology (5 papers) and Transcranial Magnetic Stimulation Studies (4 papers). The work is most often cited by research in Cognitive Neuroscience (576 citations), Human-Computer Interaction (104 citations), Cellular and Molecular Neuroscience (260 citations), Signal Processing (75 citations) and Neurology (51 citations). Weibo Yi has collaborated with scholars based in China, Switzerland and United Arab Emirates. Frequent co-authors include Dong Ming, Hongzhi Qi, Shuang Qiu, Lixin Zhang, Feng He, Kun Wang, Baikun Wan, Shuang Qiu, Peng Zhou and Minpeng Xu. Their work appears in journals such as Journal of Neural Engineering, Frontiers in Neuroscience, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Neural Networks and Journal of NeuroEngineering and Rehabilitation.
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.