Fisher discriminant analysis with L1-norm H Wang, X Lu, Z Hu, W Zheng IEEE transactions on cybernetics 44 (6), 828-842, 2013 | 221 | 2013 |
Image denoising using trivariate shrinkage filter in the wavelet domain and joint bilateral filter in the spatial domain H Yu, L Zhao, H Wang IEEE Transactions on Image Processing 18 (10), 2364-2369, 2009 | 171 | 2009 |
L1-norm-based common spatial patterns H Wang, Q Tang, W Zheng IEEE Transactions on Biomedical Engineering 59 (3), 653-662, 2011 | 168 | 2011 |
Locality-preserved maximum information projection H Wang, S Chen, Z Hu, W Zheng IEEE Transactions on Neural Networks 19 (4), 571-585, 2008 | 118 | 2008 |
Local temporal common spatial patterns for robust single-trial EEG classification H Wang, W Zheng IEEE Transactions on Neural Systems and Rehabilitation Engineering 16 (2 …, 2008 | 115 | 2008 |
An efficient procedure for removing random-valued impulse noise in images H Yu, L Zhao, H Wang IEEE Signal Processing Letters 15, 922-925, 2008 | 90 | 2008 |
A brain-computer interface based on a few-channel EEG-fNIRS bimodal system S Ge, Q Yang, R Wang, P Lin, J Gao, Y Leng, Y Yang, H Wang IEEE Access 5, 208-218, 2017 | 87 | 2017 |
L1-norm kernel discriminant analysis via Bayes error bound optimization for robust feature extraction W Zheng, Z Lin, H Wang IEEE transactions on neural networks and learning systems 25 (4), 793-805, 2013 | 87 | 2013 |
2DPCA with L1-norm for simultaneously robust and sparse modelling H Wang, J Wang Neural Networks 46, 190-198, 2013 | 76 | 2013 |
EEG-based classification of lower limb motor imagery with brain network analysis L Gu, Z Yu, T Ma, H Wang, Z Li, H Fan Neuroscience 436, 93-109, 2020 | 74 | 2020 |
Block principal component analysis with L1-norm for image analysis H Wang Pattern recognition letters 33 (5), 537-542, 2012 | 55 | 2012 |
An efficient algorithm for Kernel two-dimensional principal component analysis N Sun, H Wang, Z Ji, C Zou, L Zhao Neural Computing and Applications 17, 59-64, 2008 | 54 | 2008 |
Regularized common spatial patterns with subject-to-subject transfer of EEG signals M Cheng, Z Lu, H Wang Cognitive neurodynamics 11, 173-181, 2017 | 49 | 2017 |
Neurocognitive mechanisms of mathematical giftedness: A literature review L Zhang, JQ Gan, H Wang Applied Neuropsychology: Child 6 (1), 79-94, 2017 | 44 | 2017 |
A double-partial least-squares model for the detection of steady-state visual evoked potentials S Ge, R Wang, Y Leng, H Wang, P Lin, K Iramina IEEE Journal of Biomedical and Health informatics 21 (4), 897-903, 2016 | 38 | 2016 |
Comprehensive common spatial patterns with temporal structure information of EEG data: minimizing nontask related EEG component H Wang, D Xu IEEE transactions on biomedical engineering 59 (9), 2496-2505, 2012 | 38 | 2012 |
SSVEP-based brain-computer interface with a limited number of frequencies based on dual-frequency biased coding S Ge, Y Jiang, M Zhang, R Wang, K Iramina, P Lin, Y Leng, H Wang, ... IEEE Transactions on Neural Systems and Rehabilitation Engineering 29, 760-769, 2021 | 34 | 2021 |
Localization of neural efficiency of the mathematically gifted brain through a feature subset selection method L Zhang, JQ Gan, H Wang Cognitive neurodynamics 9, 495-508, 2015 | 32 | 2015 |
Training-free steady-state visual evoked potential brain–computer interface based on filter bank canonical correlation analysis and spatiotemporal beamforming decoding S Ge, Y Jiang, P Wang, H Wang, W Zheng IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 (9 …, 2019 | 30 | 2019 |
Collective sparse symmetric non-negative matrix factorization for identifying overlapping communities in resting-state brain functional networks X Li, JQ Gan, H Wang NeuroImage 166, 259-275, 2018 | 30 | 2018 |