| Frequency Recognition in SSVEP-based BCI using Multiset Canonical Correlation Analysis Y Zhang, G Zhou, J Jin, X Wang, A Cichocki International Journal of Neural Systems 24 (4), 1450013 (14 pages), 2014 | 356 | 2014 |
| A survey on deep learning-based non-invasive brain signals: recent advances and new frontiers X Zhang, L Yao, X Wang, J Monaghan, D Mcalpine, Y Zhang Journal of Neural Engineering 18 (3), 031002, 2021 | 267* | 2021 |
| Sparse Bayesian Classification of EEG for Brain-Computer Interface Y Zhang, G Zhou, J Jin, Q Zhao, X Wang, A Cichocki IEEE Transactions on Neural Networks and Learning Systems 27 (11), 2256-2267, 2016 | 252 | 2016 |
| Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCI Y Zhang, CS Nam, G Zhou, J Jin, X Wang, A Cichocki IEEE Transactions on Cybernetics 49 (9), 3322-3332, 2019 | 245 | 2019 |
| L1-Regularized Multiway Canonical Correlation Analysis for SSVEP-Based BCI Y Zhang, G Zhou, J Jin, M Wang, X Wang, A Cichocki IEEE Transactions on Neural Systems and Rehabilitation Engineering 21 (6 …, 2013 | 242 | 2013 |
| Optimizing spatial patterns with sparse filter bands for motor-imagery based brain–computer interface Y Zhang, G Zhou, J Jin, X Wang, A Cichocki Journal of Neuroscience Methods 255, 85-91, 2015 | 236 | 2015 |
| Multi-kernel extreme learning machine for EEG classification in brain-computer interfaces Y Zhang, Y Wang, G Zhou, J Jin, B Wang, X Wang, A Cichocki Expert Systems with Applications 96, 302-310, 2018 | 234 | 2018 |
| Residual attention U-Net for automated multi-class segmentation of COVID-19 chest CT images X Chen, L Yao, Y Zhang ISMB/ECCB 2021, 2020 | 193 | 2020 |
| Sparse Bayesian Learning for obtaining sparsity of EEG frequency bands based feature vectors in Motor Imagery Classification Y Zhang, Y Wang, J Jin, X Wang International Journal of Neural Systems 27 (2), 1650032, 2017 | 192 | 2017 |
| A Novel EOG/EEG Hybrid Human–Machine Interface Adopting Eye Movements and ERPs: Application to Robot Control J Ma, Y Zhang, A Cichocki, F Matsuno IEEE Transactions on Biomedical Engineering 62 (3), 876-889, 2015 | 192 | 2015 |
| Linked Component Analysis From Matrices to High-Order Tensors: Applications to Biomedical Data G Zhou, Q Zhao, Y Zhang, T Adali, S Xie, A Cichocki Proceedings of the IEEE 104 (2), 310-331, 2016 | 183 | 2016 |
| Group Component Analysis for Multiblock Data: Common and Individual Feature Extraction G Zhou, A Cichocki, Y Zhang, DP Mandic IEEE Transactions on Neural Networks and Learning Systems, 2015 | 182* | 2015 |
| A novel BCI based on ERP components sensitive to configural processing of human faces Y Zhang, Q Zhao, J Jin, X Wang, A Cichocki Journal of Neural Engineering 9 (2), 026018, 2012 | 158 | 2012 |
| Multiway canonical correlation analysis for frequency components recognition in SSVEP-based BCIs Y Zhang, G Zhou, Q Zhao, A Onishi, J Jin, X Wang, A Cichocki Neural Information Processing: 18th International Conference, ICONIP 2011 …, 2011 | 156 | 2011 |
| Sparse Group Representation Model for Motor Imagery EEG Classification Y Jiao, Y Zhang, X Chen, E Yin, J Jin, X Wang, A Cichocki IEEE Journal of Biomedical and Health Informatics 23 (2), 631-641, 2019 | 153 | 2019 |
| A P300 brain–computer interface based on a modification of the mismatch negativity paradigm J Jin, EW Sellers, S Zhou, Y Zhang, X Wang, A Cichocki International journal of neural systems 25 (03), 1550011, 2015 | 152 | 2015 |
| The changing face of P300 BCIs: a comparison of stimulus changes in a P300 BCI involving faces, emotion, and movement J Jin, BZ Allison, T Kaufmann, A Kübler, Y Zhang, X Wang, A Cichocki PLoS One 7 (11), e49688, 2012 | 147 | 2012 |
| An electroencephalographic signature predicts antidepressant response in major depression W Wu, Y Zhang, J Jiang, MV Lucas, GA Fonzo, CE Rolle, C Cooper, ... Nature Biotechnology 38 (4), 439-447, 2020 | 143 | 2020 |
| EEG classification using sparse Bayesian extreme learning machine for brain–computer interface Z Jin, G Zhou, D Gao, Y Zhang Neural Computing and Applications 32, 6601-6609, 2020 | 139 | 2020 |
| Discriminative feature extraction via multivariate linear regression for SSVEP-based BCI H Wang, Y Zhang, NR Waytowich, DJ Krusienski, G Zhou, J Jin, X Wang, ... IEEE Transactions on Neural Systems and Rehabilitation Engineering 24 (5 …, 2016 | 137 | 2016 |
