World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
92
Citations
45417
World Ranking
1008
National Ranking
535

Computer Science

D-Index
91
Citations
43517
World Ranking
571
National Ranking
305

Research.com Recognitions

  • 2015 - IEEE Fellow For contributions to blind source separation for biomedical applications

Overview

Tzyy-Ping Jung is affiliated with the University of California, San Diego in the United States. Their primary research focus is in the field of Neuroscience, with 204 publications contributing to this area. They have a specialized interest in several subfields including Cognitive Neuroscience, Cellular and Molecular Neuroscience, Human-Computer Interaction, Electrical and Electronic Engineering, and Cardiology and Cardiovascular Medicine.

The main research topics covered by their work include:

  • EEG and Brain-Computer Interfaces
  • Neural dynamics and brain function
  • Neuroscience and Neural Engineering
  • Gaze Tracking and Assistive Technology
  • Functional Brain Connectivity Studies
  • Advanced Memory and Neural Computing
  • Neural and Behavioral Psychology Studies

Among the recent papers authored or co-authored by Tzyy-Ping Jung are:

  • "EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and their Applications" (2021), Open Publications Of UTS Scholars (University of Technology Sydney)
  • "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
  • "Learning Common Time-Frequency-Spatial Patterns for Motor Imagery Classification" (2021), IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • "Developing a Novel Tactile P300 Brain-Computer Interface With a Cheeks-Stim Paradigm" (2020), IEEE Transactions on Biomedical Engineering
  • "BCI-Based Rehabilitation on the Stroke in Sequela Stage" (2020), Neural Plasticity

They have collaborated frequently with several researchers including:

  • Dong Ming (28 co-publications)
  • Minpeng Xu (23 co-publications)
  • Xiaolin Xiao (13 co-publications)
  • Feng Wan (12 co-publications)
  • Chin-Teng Lin (11 co-publications)

Tzyy-Ping Jung's publications are prominently featured in leading venues such as:

  • IEEE Transactions on Neural Systems and Rehabilitation Engineering (21 publications)
  • Journal of Neural Engineering (16 publications)
  • arXiv (Cornell University) (10 publications)
  • IEEE Journal of Biomedical and Health Informatics (6 publications)
  • IEEE Transactions on Biomedical Engineering (5 publications)

In addition to journal articles, they have contributed a book titled The Application of Artificial Intelligence in Brain-Computer Interface and Neural System Rehabilitation, published in 2023 by Frontiers Media.

The scientist was recognized as an IEEE Fellow in 2015 for their contributions to blind source separation for biomedical applications.

Best Publications

  • Removing electroencephalographic artifacts by blind source separation.

    Tzyy-Ping Jung;Tzyy-Ping Jung;Scott Makeig;Colin Humphries;Te-Won Lee;Te-Won Lee

  • Independent Component Analysis of Electroencephalographic Data

    Scott Makeig;Anthony J. Bell;Tzyy-Ping Jung;Terrence J. Sejnowski

  • Analysis of fMRI data by blind separation into independent spatial components

    Martin J. Mckeown;Scott Makeig;Greg G. Brown;Tzyy-Ping Jung

  • Dynamic Brain Sources of Visual Evoked Responses

    S. Makeig;M. Westerfield;T.-P. Jung;S. Enghoff

  • Removal of eye activity artifacts from visual event-related potentials in normal and clinical subjects

    Tzyy-Ping Jung;Scott Makeig;Marissa Westerfield;Marissa Westerfield;Jeanne Townsend;Jeanne Townsend

  • Blind separation of auditory event-related brain responses into independent components

    Scott Makeig;Tzyy-Ping Jung;Anthony J. Bell;Dara Ghahremani

  • Dry-Contact and Noncontact Biopotential Electrodes: Methodological Review

    Y M Chi;Tzyy-Ping Jung;G Cauwenberghs

  • EEG-Based Emotion Recognition in Music Listening

    Yuan-Pin Lin;Chi-Hong Wang;Tzyy-Ping Jung;Tien-Lin Wu

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

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

  • Analysis and visualization of single-trial event-related potentials

    Tzyy Ping Jung;Scott Makeig;Scott Makeig;Marissa Westerfield;Marissa Westerfield;Jeanne Townsend;Jeanne Townsend

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

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

  • Real-Time Neuroimaging and Cognitive Monitoring Using Wearable Dry EEG

    Tim R. Mullen;Christian A. E. Kothe;Yu Mike Chi;Alejandro Ojeda

  • 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

  • Imaging brain dynamics using independent component analysis

    T.-P. Jung;S. Makeig;M.J. McKeown;A.J. Bell

  • Estimating alertness from the EEG power spectrum

    Tzyy-Ping Jung;S. Makeig;M. Stensmo;T.J. Sejnowski

  • EEG-based drowsiness estimation for safety driving using independent component analysis

    Chin-Teng Lin;Ruei-Cheng Wu;Sheng-Fu Liang;Wen-Hung Chao

  • Extended ICA Removes Artifacts from Electroencephalographic Recordings

    Tzyy-Ping Jung;Colin Humphries;Te-Won Lee;Scott Makeig

  • Spatially independent activity patterns in functional MRI data during the Stroop color-naming task

    Martin J. McKeown;Tzyy-Ping Jung;Scott Makeig;Greg Brown

  • Functionally Independent Components of the Late Positive Event-Related Potential during Visual Spatial Attention

    Scott Makeig;Marissa Westerfield;Marissa Westerfield;Tzyy-Ping Jung;James Covington

  • Evaluation of Artifact Subspace Reconstruction for Automatic Artifact Components Removal in Multi-Channel EEG Recordings

    Chi-Yuan Chang;Sheng-Hsiou Hsu;Luca Pion-Tonachini;Tzyy-Ping Jung

  • Electroencephalographic Brain Dynamics Following Manually Responded Visual Targets

    Scott Makeig;Arnaud Delorme;Marissa Westerfield;Tzyy-Ping Jung

  • Linking brain, mind and behavior

    Scott Makeig;Klaus Gramann;Tzyy-Ping Jung;Terrence J. Sejnowski;Terrence J. Sejnowski

Frequent Co-Authors

Chin-Teng Lin
Chin-Teng Lin University of Technology Sydney
Scott Makeig
Scott Makeig University of California, San Diego
Yijun Wang
Yijun Wang Chinese Academy of Sciences
Terrence J. Sejnowski
Terrence J. Sejnowski Salk Institute for Biological Studies
Li-Wei Ko
Li-Wei Ko National Yang Ming Chiao Tung University
Gert Cauwenberghs
Gert Cauwenberghs University of California, San Diego
Eric Courchesne
Eric Courchesne University of California, San Diego
Klaus Gramann
Klaus Gramann Technical University of Berlin
Jeanne Townsend
Jeanne Townsend University of California, San Diego
Chung-Kuan Cheng
Chung-Kuan Cheng University of California, San Diego

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