| Multiple frequencies sequential coding for SSVEP-based brain-computer interface Y Zhang, P Xu, T Liu, J Hu, R Zhang, D Yao PloS one 7 (3), e29519, 2012 | 162 | 2012 |
| Efficient resting-state EEG network facilitates motor imagery performance R Zhang, D Yao, PA Valdés-Sosa, F Li, P Li, T Zhang, T Ma, Y Li, P Xu Journal of neural engineering 12 (6), 066024, 2015 | 127 | 2015 |
| Separated channel convolutional neural network to realize the training free motor imagery BCI systems X Zhu, P Li, C Li, D Yao, R Zhang, P Xu Biomedical Signal Processing and Control 49, 396-403, 2019 | 115 | 2019 |
| The time-varying networks in P300: a task-evoked EEG study F Li, B Chen, H Li, T Zhang, F Wang, Y Jiang, P Li, T Ma, R Zhang, Y Tian, ... IEEE Transactions on Neural Systems and Rehabilitation Engineering 24 (7 …, 2016 | 114 | 2016 |
| Structural and functional correlates of motor imagery BCI performance: Insights from the patterns of fronto-parietal attention network T Zhang, T Liu, F Li, M Li, D Liu, R Zhang, H He, P Li, J Gong, C Luo, ... NeuroImage 134, 475-485, 2016 | 107 | 2016 |
| Relationships between the resting-state network and the P3: Evidence from a scalp EEG study F Li, T Liu, F Wang, H Li, D Gong, R Zhang, Y Jiang, Y Tian, D Guo, D Yao, ... Scientific reports 5 (1), 15129, 2015 | 107 | 2015 |
| The hybrid BCI system for movement control by combining motor imagery and moving onset visual evoked potential T Ma, H Li, L Deng, H Yang, X Lv, P Li, F Li, R Zhang, T Liu, D Yao, P Xu Journal of neural engineering 14 (2), 026015, 2017 | 105 | 2017 |
| The dynamic brain networks of motor imagery: time-varying causality analysis of scalp EEG F Li, W Peng, Y Jiang, L Song, Y Liao, C Yi, L Zhang, Y Si, T Zhang, ... International journal of neural systems 29 (01), 1850016, 2019 | 101 | 2019 |
| Differentiating between psychogenic nonepileptic seizures and epilepsy based on common spatial pattern of weighted EEG resting networks P Xu, X Xiong, Q Xue, P Li, R Zhang, Z Wang, PA Valdes-Sosa, Y Wang, ... IEEE Transactions on Biomedical Engineering 61 (6), 1747-1755, 2014 | 101 | 2014 |
| Z-score linear discriminant analysis for EEG based brain-computer interfaces R Zhang, P Xu, L Guo, Y Zhang, P Li, D Yao PloS one 8 (9), e74433, 2013 | 96 | 2013 |
| Predicting inter-session performance of SMR-based brain–computer interface using the spectral entropy of resting-state EEG R Zhang, P Xu, R Chen, F Li, L Guo, P Li, T Zhang, D Yao Brain topography 28, 680-690, 2015 | 85 | 2015 |
| Autoregressive model in the Lp norm space for EEG analysis P Li, X Wang, F Li, R Zhang, T Ma, Y Peng, X Lei, Y Tian, D Guo, T Liu, ... Journal of neuroscience methods 240, 170-178, 2015 | 55 | 2015 |
| Local temporal correlation common spatial patterns for single trial EEG classification during motor imagery R Zhang, P Xu, T Liu, Y Zhang, L Guo, P Li, D Yao Computational and mathematical methods in medicine 2013 (1), 591216, 2013 | 52 | 2013 |
| A novel audiovisual brain-computer interface and its application in awareness detection F Wang, Y He, J Pan, Q Xie, R Yu, R Zhang, Y Li Scientific reports 5 (1), 9962, 2015 | 50 | 2015 |
| SSVEP stimulus layout effect on accuracy of brain-computer interfaces in augmented reality glasses X Zhao, C Liu, Z Xu, L Zhang, R Zhang IEEE Access 8, 5990-5998, 2020 | 49 | 2020 |
| L1 norm based common spatial patterns decomposition for scalp EEG BCI P Li, P Xu, R Zhang, L Guo, D Yao Biomedical engineering online 12, 1-12, 2013 | 49 | 2013 |
| Recognizing mild cognitive impairment based on network connectivity analysis of resting EEG with zero reference P Xu, XC Xiong, Q Xue, Y Tian, Y Peng, R Zhang, PY Li, YP Wang Physiological measurement 35 (7), 1279, 2014 | 47 | 2014 |
| Brain network reconfiguration during motor imagery revealed by a large-scale network analysis of scalp EEG F Li, C Yi, L Song, Y Jiang, W Peng, Y Si, T Zhang, R Zhang, D Yao, ... Brain topography 32, 304-314, 2019 | 43 | 2019 |
| Using particle swarm to select frequency band and time interval for feature extraction of EEG based BCI P Xu, T Liu, R Zhang, Y Zhang, D Yao Biomedical Signal Processing and Control 10, 289-295, 2014 | 43 | 2014 |
| Using brain network features to increase the classification accuracy of MI-BCI inefficiency subject R Zhang, X Li, Y Wang, B Liu, L Shi, M Chen, L Zhang, Y Hu Ieee Access 7, 74490-74499, 2019 | 41 | 2019 |
Dezhong YaoUniversity of Electronic Science and Technology of China在 uestc.edu.cn 的电子邮件经过验证
