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Xiaorong Gao

Xiaorong Gao

D-Index & Metrics

Computer Science

D-Index
56
Citations
18827
World Ranking
3976
National Ranking
529

Overview

Xiaorong Gao is affiliated with Tsinghua University in China and has contributed extensively to the field of neuroscience, with a primary focus on brain-computer interfaces (BCIs) and neural engineering. Their research spans several interconnected disciplines including cognitive neuroscience, cellular and molecular neuroscience, electrical and electronic engineering, human-computer interaction, and signal processing.

The scientist's key topics of work include EEG and brain-computer interfaces, neuroscience and neural engineering, neural dynamics and brain function, advanced memory and neural computing, gaze tracking and assistive technology, functional brain connectivity studies, and blind source separation techniques.

Recent scholarly articles authored or co-authored by Xiaorong Gao feature prominently in leading journals and conferences, indicating active engagement with ongoing developments in the field. Notable publications include:

  • "EEG Conformer: Convolutional Transformer for EEG Decoding and Visualization" (2022), IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • "Interface, interaction, and intelligence in generalized brain-computer interfaces" (2021), Trends in Cognitive Sciences
  • "BETA: A Large Benchmark Database Toward SSVEP-BCI Application" (2020), Frontiers in Neuroscience
  • "Improving the Performance of Individually Calibrated SSVEP-BCI by Task-Discriminant Component Analysis" (2021), IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • "Combination of Augmented Reality Based Brain-Computer Interface and Computer Vision for High-Level Control of a Robotic Arm" (2020), IEEE Transactions on Neural Systems and Rehabilitation Engineering

Xiaorong Gao frequently collaborates with several researchers, reflecting a networked research approach. Prominent co-authors include Yijun Wang, Xiaogang Chen, Weihua Pei, Bingchuan Liu, and Nanlin Shi.

The scientist has published widely in respected venues such as the Journal of Neural Engineering, IEEE Transactions on Neural Systems and Rehabilitation Engineering, SSRN Electronic Journal, arXiv, and Frontiers in Neuroscience. The distribution of publications across these journals reflects a strong interdisciplinary method combining engineering, neuroscience, and computer science perspectives.

Best Publications

  • Frequency Recognition Based on Canonical Correlation Analysis for SSVEP-Based BCIs

    Zhonglin Lin;Changshui Zhang;Wei Wu;Xiaorong Gao

  • 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

  • Enhancing Detection of SSVEPs for a High-Speed Brain Speller Using Task-Related Component Analysis.

    Masaki Nakanishi;Yijun Wang;Xiaogang Chen;Yu-Te Wang

  • 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

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

    Guangyu Bin;Xiaorong Gao;Yijun Wang;Bo Hong

Frequent Co-Authors

Shangkai Gao
Shangkai Gao Tsinghua University
Yijun Wang
Yijun Wang Chinese Academy of Sciences
Xiaogang Chen
Xiaogang Chen University of Manchester
Hesheng Liu
Hesheng Liu Peking University
Andreas K. Engel
Andreas K. Engel Universität Hamburg
Tzyy-Ping Jung
Tzyy-Ping Jung University of California, San Diego
Yuanqing Li
Yuanqing Li South China University of Technology
Changshui Zhang
Changshui Zhang Tsinghua University
Zhe Chen
Zhe Chen Aalborg University

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