Shangkai Gao

Cognitive Neuroscience · 2002–2017

A researcher in the Science corpus: 12 papers; trusts 33 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 125 citations into it; #821 of 10,852 by trust here, #1,197 by citations
• Cellular and Molecular Neuroscience — 70 citations into it; #207 of 2,998 by trust here, #487 by citations
• Electrical and Electronic Engineering — 31 citations into it; #1,413 of 16,539 by trust here, #4,712 by citations
• Human-Computer Interaction — 18 citations into it
• Signal Processing — 18 citations into it

Whom Shangkai Gao trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Jonathan R. Wolpaw
2. Xiaorong Gao
3. Niels Birbaumer
4. Christoph S. Herrmann
5. Guangyu Bin
6. Benjamin Blankertz
7. Dennis J. McFarland
8. Gert Pfurtscheller
9. Ming Cheng
10. Gernot R. Müller-Putz

Who trusts Shangkai Gao overall

1. Xiaogang Chen
2. Masaki Nakanishi
3. Xiaorong Gao
4. Turky Nayef Alotaiby
5. Tzyy-Ping Jung
6. Brendan Z. Allison
7. Mahnaz Arvaneh
8. Hauke Dose
9. Reza Abiri
10. Gernot R. Müller-Putz

Papers from Shangkai Gao's perspective

Ordered by how strongly the researchers Shangkai Gao trusts endorse each paper. Same corpus, a different order for every researcher.

1. Brain-computer interfaces based on the steady-state visual-evoked response. (IEEE transactions on rehabilitation engineering)
2. Design and implementation of a brain-computer interface with high transfer rates (IEEE Transactions on Biomedical Engineering)
3. Brain-computer interface research at the Wadsworth Center. (IEEE transactions on rehabilitation engineering)
4. The mental prosthesis: assessing the speed of a P300-based brain-computer interface. (IEEE transactions on rehabilitation engineering)
5. A P300-based brain-computer interface: initial tests by ALS patients. (Clinical Neurophysiology)
6. Brain-computer interface technology: a review of the first international meeting. (IEEE transactions on rehabilitation engineering)
7. Brain-computer interfaces for communication and control. (Clinical Neurophysiology)
8. Steady-state visual evoked potential (SSVEP)-based communication: impact of harmonic frequency components (Journal of Neural Engineering)
9. A BCI-based environmental controller for the motion-disabled. (IEEE transactions on neural systems and rehabilitation engineering)
10. Current trends in Graz Brain-Computer Interface (BCI) research. (IEEE transactions on rehabilitation engineering)

Their papers

• BCI competition 2003-data set IIb: enhancing P300 wave detection using ICA-based subspace projections for BCI applications (2004) — 299 citations
• A BCI-based environmental controller for the motion-disabled. (2003) — 576 citations
• High-speed spelling with a noninvasive brain–computer interface (2015) — 879 citations
• Visual and Auditory Brain–Computer Interfaces (2014) — 403 citations
• A high-speed BCI based on code modulation VEP (2011) — 319 citations
• Brain-Computer Interfaces Based on Visual Evoked Potentials (2008) — 430 citations
• Common Spatial Pattern Method for Channel Selelction in Motor Imagery Based Brain-computer Interface (2005) — 417 citations
• A Benchmark Dataset for SSVEP-Based Brain–Computer Interfaces (2017) — 451 citations
• Filter bank canonical correlation analysis for implementing a high-speed SSVEP-based brain–computer interface (2015) — 727 citations
• An online multi-channel SSVEP-based brain–computer interface using a canonical correlation analysis method (2009) — 792 citations
• A practical VEP-based brain-computer interface. (2006) — 335 citations
• Design and implementation of a brain-computer interface with high transfer rates (2002) — 854 citations