| EEG based emotion recognition by combining functional connectivity network and local activations P Li, H Liu, Y Si, C Li, F Li, X Zhu, X Huang, Y Zeng, D Yao, Y Zhang, P Xu IEEE Transactions on Biomedical Engineering 66 (10), 2869-2881, 2019 | 395 | 2019 |
| MATLAB toolboxes for reference electrode standardization technique (REST) of scalp EEG L Dong, F Li, Q Liu, X Wen, Y Lai, P Xu, D Yao Frontiers in neuroscience 11, 601, 2017 | 228 | 2017 |
| 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 | 144 | 2015 |
| Correlated component analysis for enhancing the performance of SSVEP-based brain-computer interface Y Zhang, D Guo, F Li, E Yin, Y Zhang, P Li, Q Zhao, T Tanaka, D Yao, ... IEEE Transactions on Neural Systems and Rehabilitation Engineering 26 (5 …, 2018 | 133 | 2018 |
| 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 | 130 | 2015 |
| Differentiation of schizophrenia by combining the spatial EEG brain network patterns of rest and task P300 F Li, J Wang, Y Liao, C Yi, Y Jiang, Y Si, W Peng, D Yao, Y Zhang, ... IEEE transactions on neural systems and rehabilitation engineering 27 (4 …, 2019 | 129 | 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 | 129 | 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 | 127 | 2016 |
| 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 | 124 | 2019 |
| 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 | 117 | 2017 |
| 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 (5), 680-690, 2015 | 102 | 2015 |
| Two-stage frequency recognition method based on correlated component analysis for SSVEP-based BCI Y Zhang, E Yin, F Li, Y Zhang, T Tanaka, Q Zhao, Y Cui, P Xu, D Yao, ... IEEE Transactions on Neural Systems and Rehabilitation Engineering 26 (7 …, 2018 | 100 | 2018 |
| Effective emotion recognition by learning discriminative graph topologies in EEG brain networks C Li, P Li, Y Zhang, N Li, Y Si, F Li, Z Cao, H Chen, B Chen, D Yao, P Xu IEEE Transactions on Neural Networks and Learning Systems 35 (8), 10258-10272, 2023 | 97 | 2023 |
| PR-PL: A novel prototypical representation based pairwise learning framework for emotion recognition using EEG signals R Zhou, Z Zhang, H Fu, L Zhang, L Li, G Huang, F Li, X Yang, Y Dong, ... IEEE Transactions on Affective Computing 15 (2), 657-670, 2023 | 95 | 2023 |
| Different decision-making responses occupy different brain networks for information processing: a study based on EEG and TMS Y Si, X Wu, F Li, L Zhang, K Duan, P Li, L Song, Y Jiang, T Zhang, ... Cerebral Cortex 29 (10), 4119-4129, 2019 | 93 | 2019 |
| Rapid improvement in visual selective attention related to action video gaming experience N Qiu, W Ma, X Fan, Y Zhang, Y Li, Y Yan, Z Zhou, F Li, D Gong, D Yao Frontiers in human neuroscience 12, 47, 2018 | 84 | 2018 |
| Predicting individual decision-making responses based on single-trial EEG Y Si, F Li, K Duan, Q Tao, C Li, Z Cao, Y Zhang, B Biswal, P Li, D Yao, ... NeuroImage 206, 116333, 2020 | 81 | 2020 |
| Separated channel attention convolutional neural network (SC-CNN-attention) to identify ADHD in multi-site rs-fMRI dataset T Zhang, C Li, P Li, Y Peng, X Kang, C Jiang, F Li, X Zhu, D Yao, B Biswal, ... Entropy 22 (8), 893, 2020 | 80 | 2020 |
| Neuroscience information toolbox: An open source toolbox for EEG–fMRI multimodal fusion analysis L Dong, C Luo, X Liu, S Jiang, F Li, H Feng, J Li, D Gong, D Yao Frontiers in Neuroinformatics 12, 56, 2018 | 79 | 2018 |
| A model combining multi branch spectral-temporal CNN, Efficient Channel attention, and LightGBM for MI-BCI classification H Jia, S Yu, S Yin, L Liu, C Yi, K Xue, F Li, D Yao, P Xu, T Zhang IEEE Transactions on Neural Systems and Rehabilitation Engineering 31, 1311-1320, 2023 | 70 | 2023 |
Peng Xu（徐鹏-UESTC）University of Electronic Science and Technology of ChinaVerified email at uestc.edu.cn
