Shangkai Gao
- Cognitive Neuroscience top 0.1%
- Cellular and Molecular Neuroscience top 0.2%
- Electrical and Electronic Engineering top 2%
- Signal Processing top 0.2%
- Human-Computer Interaction top 0.1%
- Topics
- EEG and Brain-Computer Interfaces (98 papers)Neural dynamics and brain function (62 papers)Neuroscience and Neural Engineering (51 papers)
- Journals
- Proceedings of the National Academy of SciencesIEEE Transactions on Pattern Analysis and Machine IntelligenceNeuroImage
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Shangkai Gao
124 papers receiving 8.2k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Cognitive Neuroscience 8.0k
- Cellular and Molecular Neuroscience 4.7k
- Electrical and Electronic Engineering 2.1k
- Signal Processing 1.8k
- Human-Computer Interaction 1.6k
Countries citing papers authored by Shangkai Gao
This map shows the geographic impact of Shangkai Gao'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 Shangkai Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shangkai Gao more than expected).
Fields of papers citing papers by Shangkai Gao
This network shows the impact of papers produced by Shangkai Gao. 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 Shangkai Gao. The network helps show where Shangkai Gao may publish in the future.
Co-authorship network of co-authors of Shangkai Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Shangkai Gao. A scholar is included among the top collaborators of Shangkai Gao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shangkai Gao. Shangkai Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 25 | |
| 3 | 122 | |
| 4 | 58 | |
| 5 | Filter bank canonical correlation analysis for implementing a high-speed SSVEP-based brain–computer interfacebreakdown → | 572 |
| 6 | Probabilistic Common Spatial Patterns for Multichannel EEG Analysis | 1 |
| 7 | 31 | |
| 8 | EEG study of the spectral and phase properties of steady-state visual evoked potentials | 1 |
| 9 | A hierarchical Bayesian approach for learning sparse spatio-temporal decompositions of multichannel EEG | 1 |
| 10 | 7 | |
| 11 | 10 | |
| 12 | Neural engineering and brain-computer interface | 1 |
| 13 | Extended field-of-view ultrasound imaging technology for large-revolving-angle images | 1 |
| 14 | 34 | |
| 15 | P300-based brain-computer interface:Effect of stimulus intensity on performance | 6 |
| 16 | Oscillatory EEG based brain-computer interface | 1 |
| 17 | 3 | |
| 18 | 2 | |
| 19 | 8 | |
| 20 | Implementation of CIS speech signal processing for cochlear implants by using wavelet transform | 3 |
About Shangkai Gao
Shangkai Gao is a scholar working on Cognitive Neuroscience, Signal Processing and Cellular and Molecular Neuroscience, having authored 127 papers that have together received 8.5k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (98 papers), Neural dynamics and brain function (62 papers) and Neuroscience and Neural Engineering (51 papers). The work is most often cited by research in Cognitive Neuroscience (8.0k citations), Human-Computer Interaction (1.6k citations) and Cellular and Molecular Neuroscience (4.7k citations). Shangkai Gao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiaorong Gao, Yijun Wang, Bo Hong, Xiaogang Chen, Guangyu Bin, Tzyy‐Ping Jung, Xiaorong Gao, Yan Zheng, Ruiping Wang and Masaki Nakanishi. Their work appears in journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Pattern Analysis and Machine Intelligence and NeuroImage.
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.