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Shangkai Gao

Shangkai Gao

D-Index & Metrics

Computer Science

D-Index
57
Citations
15473
World Ranking
3786
National Ranking
503

Research.com Recognitions

  • 2013 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

Shangkai Gao is a researcher affiliated with Tsinghua University in China, specializing primarily in the field of Neuroscience with a notable focus on Cognitive Neuroscience. Their work spans interdisciplinary areas including Electrical and Electronic Engineering and Human-Computer Interaction.

The scientist's published output includes research related to EEG and Brain-Computer Interfaces, Neuroscience and Neural Engineering, Advanced Memory and Neural Computing, Neural Dynamics and Brain Function, as well as Gaze Tracking and Assistive Technology.

Frequent coauthors in Gao's research include Xiaorong Gao, Xiaogang Chen, Yijun Wang, Bingchuan Liu, and Liyan Liang. The collaboration with these researchers is reflected in publications primarily appearing in venues such as Expert Systems with Applications, Journal of Neural Engineering, Trends in Cognitive Sciences, IEEE Transactions on Neural Systems and Rehabilitation Engineering, and IEEE Transactions on Biomedical Engineering.

Significant recent papers authored or coauthored by Shangkai Gao include:

  • Interface, interaction, and intelligence in generalized brain-computer interfaces, 2021, Trends in Cognitive Sciences
  • Improving the Performance of Individually Calibrated SSVEP-BCI by Task-Discriminant Component Analysis, 2021, IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • Align and Pool for EEG Headset Domain Adaptation (ALPHA) to Facilitate Dry Electrode Based SSVEP-BCI, 2021, IEEE Transactions on Biomedical Engineering
  • A hybrid steady-state visual evoked response-based brain-computer interface with MEG and EEG, 2023, Expert Systems with Applications
  • Optimizing a dual-frequency and phase modulation method for SSVEP-based BCIs, 2020, Journal of Neural Engineering

Gao's research contributions focus on brain-computer interface (BCI) technologies, specifically steady-state visual evoked potentials (SSVEP) and hybrid neuroimaging methods combining MEG and EEG.

In recognition of their scientific contributions, Shangkai Gao was awarded the title of Fellow of the Indian National Academy of Engineering in 2013.

Best Publications

  • Design and implementation of a brain-computer interface with high transfer rates

    Ming Cheng;Xiaorong Gao;Shangkai Gao;Dingfeng Xu

  • High-speed spelling with a noninvasive brain–computer interface

    Xiaogang Chen;Yijun Wang;Yijun Wang;Masaki Nakanishi;Xiaorong Gao

  • An online multi-channel SSVEP-based brain–computer interface using a canonical correlation analysis method

    Guangyu Bin;Xiaorong Gao;Zheng Yan;Bo Hong

  • A BCI-based environmental controller for the motion-disabled

    Xiaorong Gao;Dingfeng Xu;Ming Cheng;Shangkai Gao

  • A practical VEP-based brain-computer interface

    Yijun Wang;Ruiping Wang;Xiaorong Gao;Bo Hong

  • Filter bank canonical correlation analysis for implementing a high-speed SSVEP-based brain-computer interface.

    Xiaogang Chen;Yijun Wang;Yijun Wang;Shangkai Gao;Tzyy-Ping Jung

  • Brain-Computer Interfaces Based on Visual Evoked Potentials

    Yijun Wang;Xiaorong Gao;Bo Hong;Chuan Jia

  • Common Spatial Pattern Method for Channel Selelction in Motor Imagery Based Brain-computer Interface

    Yijun Wang;Shangkai Gao;Xiaorong Gao

  • Visual and Auditory Brain–Computer Interfaces

    Shangkai Gao;Yijun Wang;Xiaorong Gao;Bo Hong

  • A Benchmark Dataset for SSVEP-Based Brain–Computer Interfaces

    Yijun Wang;Xiaogang Chen;Xiaorong Gao;Shangkai Gao

  • A high-speed BCI based on code modulation VEP

    Guangyu Bin;Xiaorong Gao;Yijun Wang;Yun Li

  • BCI competition 2003-data set IIb: enhancing P300 wave detection using ICA-based subspace projections for BCI applications

    Neng Xu;Xiaorong Gao;Bo Hong;Xiaobo Miao

  • A novel multiscale nonlinear thresholding method for ultrasonic speckle suppressing

    Xiaohui Hao;Shangkai Gao;Xiaorong Gao

  • VEP-based brain-computer interfaces: time, frequency, and code modulations [Research Frontier]

    Guangyu Bin;Xiaorong Gao;Yijun Wang;Bo Hong

  • A high-ITR SSVEP-based BCI speller

    Xiaogang Chen;Zhikai Chen;Shangkai Gao;Xiaorong Gao

  • N200-speller using motion-onset visual response.

    Bo Hong;Fei Guo;Tao Liu;Xiaorong Gao

  • Frequency and Phase Mixed Coding in SSVEP-Based Brain--Computer Interface

    Chuan Jia;Xiaorong Gao;Bo Hong;Shangkai Gao

  • Interface, interaction, and intelligence in generalized brain–computer interfaces

    Xiaorong Gao;Yijun Wang;Xiaogang Chen;Shangkai Gao

  • BCI competition 2003-data set IV:An algorithm based on CSSD and FDA for classifying single-trial EEG

    Yijun Wang;Zhiguang Zhang;Yong Li;Xiaorong Gao

  • Probabilistic Common Spatial Patterns for Multichannel EEG Analysis

    Wei Wu;Zhe Chen;Xiaorong Gao;Yuanqing Li

  • Classifying Single-Trial EEG During Motor Imagery by Iterative Spatio-Spectral Patterns Learning (ISSPL)

    Wei Wu;Xiaorong Gao;Bo Hong;Shangkai Gao

  • VEP-Based Brain-Computer Interfaces: Time, Frequency, and Code Modulations

    Guangyu Bin;Xiaorong Gao;Yijun Wang;Bo Hong

Frequent Co-Authors

Xiaorong Gao
Xiaorong Gao Tsinghua University
Yijun Wang
Yijun Wang Chinese Academy of Sciences
Xiaogang Chen
Xiaogang Chen University of Manchester
Hesheng Liu
Hesheng Liu Peking University
Fabio Babiloni
Fabio Babiloni Sapienza University of Rome
Zhe Chen
Zhe Chen Aalborg University
Laura Astolfi
Laura Astolfi Sapienza University of Rome
Maria Grazia Marciani
Maria Grazia Marciani University of Rome Tor Vergata
Fabrizio De Vico Fallani
Fabrizio De Vico Fallani French Institute for Research in Computer Science and Automation - INRIA

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