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D-Index & Metrics

Computer Science

D-Index
55
Citations
14545
World Ranking
4249
National Ranking
568

Overview

Yijun Wang is affiliated with the Chinese Academy of Sciences in China and has made contributions primarily in the field of Neuroscience. Their research spans several subfields including Cognitive Neuroscience, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Artificial Intelligence, and Biomedical Engineering.

The scientist's work covers a range of topics such as EEG and Brain-Computer Interfaces, Neuroscience and Neural Engineering, Neural dynamics and brain function, Advanced Memory and Neural Computing, Gaze Tracking and Assistive Technology, Blind Source Separation Techniques, and Insurance, Mortality, Demography, Risk Management.

Yijun Wang has published extensively, with notable papers including:

  • 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
  • Implementing Over 100 Command Codes for a High-Speed Hybrid Brain-Computer Interface Using Concurrent P300 and SSVEP Features, 2020, IEEE Transactions on Biomedical Engineering
  • Implantable intracortical microelectrodes: reviewing the present with a focus on the future, 2023, Microsystems & Nanoengineering
  • 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

Frequent collaborators of Yijun Wang include Xiaorong Gao, Weihua Pei, Xiaogang Chen, Bingchuan Liu, and Nanlin Shi.

Yijun Wang's publications often appear in journals and venues such as the Journal of Neural Engineering, IEEE Transactions on Neural Systems and Rehabilitation Engineering, arXiv (Cornell University), SSRN Electronic Journal, and Frontiers in Neuroscience.

Best Publications

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

    Xiaogang Chen;Yijun Wang;Yijun Wang;Masaki Nakanishi;Xiaorong 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 BRAIN SPELLER USING STEADY-STATE VISUAL EVOKED POTENTIALS

    Masaki Nakanishi;Yijun Wang;Yu Te Wang;Yasue Mitsukura

  • A Comparison Study of Canonical Correlation Analysis Based Methods for Detecting Steady-State Visual Evoked Potentials.

    Masaki Nakanishi;Yijun Wang;Yu-Te Wang;Tzyy-Ping Jung

  • A high-speed BCI based on code modulation VEP

    Guangyu Bin;Xiaorong Gao;Yijun Wang;Yun Li

  • Dry and Noncontact EEG Sensors for Mobile Brain–Computer Interfaces

    Y. M. Chi;Yu-Te Wang;Yijun Wang;C. Maier

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

    Guangyu Bin;Xiaorong Gao;Yijun Wang;Bo Hong

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

    Xiaorong Gao;Yijun Wang;Xiaogang Chen;Shangkai Gao

  • Visual stimulus design for high-rate SSVEP BCI

    Y. Wang;Y.-t. Wang;T.-p. Jung

  • A cell-phone-based brain-computer interface for communication in daily life.

    Yu-Te Wang;Yijun Wang;Tzyy-Ping Jung

  • 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

  • A Brain–Computer Interface Based on Miniature-Event-Related Potentials Induced by Very Small Lateral Visual Stimuli

    Minpeng Xu;Xiaolin Xiao;Yijun Wang;Hongzhi Qi

  • A study of the existing problems of estimating the information transfer rate in online brain-computer interfaces.

    Peng Yuan;Xiaorong Gao;Brendan Allison;Yijun Wang

  • BETA: A Large Benchmark Database Toward SSVEP-BCI Application.

    Bingchuan Liu;Xiaoshan Huang;Yijun Wang;Xiaogang Chen

  • A Collaborative Brain-Computer Interface for Improving Human Performance

    Yijun Wang;Tzyy-Ping Jung

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

    Guangyu Bin;Xiaorong Gao;Yijun Wang;Bo Hong

Frequent Co-Authors

Tzyy-Ping Jung
Tzyy-Ping Jung University of California, San Diego
Xiaorong Gao
Xiaorong Gao Tsinghua University
Shangkai Gao
Shangkai Gao Tsinghua University
Chung-Kuan Cheng
Chung-Kuan Cheng University of California, San Diego
Han-Ping D. Shieh
Han-Ping D. Shieh National Yang Ming Chiao Tung University
Andreas K. Engel
Andreas K. Engel Universität Hamburg
Scott Makeig
Scott Makeig University of California, San Diego
Liqing Zhang
Liqing Zhang Shanghai Jiao Tong University
Klaus Gramann
Klaus Gramann Technical University of Berlin
Yong Hu
Yong Hu University of Hong Kong

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