Lichao Xu

About Lichao Xu

Lichao Xu, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Tianjin University, specializes in the field of machine learning, deep learning, brain-computer interface, EEG.

His recent articles reflect a diverse array of research interests and contributions to the field:

MetaBCI: An open-source platform for brain–computer interfaces

Riemannian geometric and ensemble learning for decoding cross-session motor imagery electroencephalography signals

Research on phase modulation to enhance the feature of high-frequency steady-state asymmetric visual evoked potentials

Decoding of Pre-movement EEG Patterns Using Cross-entropy Loss-based Ensemble Learning

Fixed template network and dynamic template network: novel network designs for decoding steady-state visual evoked potentials

Resting-State EEG in Alpha Rhythm May Be Indicative of the Performance of Motor Imagery-Based Brain–Computer Interface

Improving Transfer Performance of Deep Learning with Adaptive Batch Normalization for Brain-computer Interfaces*

Progress of classification algorithms for motor imagery electroencephalogram signals

Lichao Xu Information

University

Position

___

Citations(all)

187

Citations(since 2020)

187

Cited By

24

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Lichao Xu Skills & Research Interests

machine learning

deep learning

brain-computer interface

EEG

Top articles of Lichao Xu

MetaBCI: An open-source platform for brain–computer interfaces

Computers in Biology and Medicine

2024/1/1

Riemannian geometric and ensemble learning for decoding cross-session motor imagery electroencephalography signals

Journal of Neural Engineering

2023/11/22

Research on phase modulation to enhance the feature of high-frequency steady-state asymmetric visual evoked potentials

Sheng wu yi xue gong cheng xue za zhi= Journal of biomedical engineering= Shengwu yixue gongchengxue zazhi

2023/6/25

Decoding of Pre-movement EEG Patterns Using Cross-entropy Loss-based Ensemble Learning

2022/11/4

Fixed template network and dynamic template network: novel network designs for decoding steady-state visual evoked potentials

Journal of Neural Engineering

2022/11/2

Resting-State EEG in Alpha Rhythm May Be Indicative of the Performance of Motor Imagery-Based Brain–Computer Interface

Entropy

2022/10/29

Improving Transfer Performance of Deep Learning with Adaptive Batch Normalization for Brain-computer Interfaces*

2021/11/1

Progress of classification algorithms for motor imagery electroencephalogram signals

Sheng wu yi xue gong cheng xue za zhi= Journal of biomedical engineering= Shengwu yixue gongchengxue zazhi

2021/10/1

Resting-State Alpha Rhythm as a Neural Marker for the Performance of Motor Imagery

International Journal of Psychophysiology

2021/10/1

Correction to: Review of brain encoding and decoding mechanisms for EEG-based brain–computer interface

2021/10

Enhancing transfer performance across datasets for brain-computer interfaces using a combination of alignment strategies and adaptive batch normalization

Journal of Neural Engineering

2021/8/31

Review of brain encoding and decoding mechanisms for EEG-based brain–computer interface

2021/8

Optimization of task allocation for collaborative brain–computer interface based on motor imagery

Frontiers in Neuroscience

2021/7/2

Cross-dataset variability problem in EEG decoding with deep learning

Frontiers in human neuroscience

2020/4/21

See List of Professors in Lichao Xu University(Tianjin University)