| A brain–computer interface based on miniature-event-related potentials induced by very small lateral visual stimuli M Xu, X Xiao, Y Wang, H Qi, TP Jung, D Ming IEEE Transactions on Biomedical Engineering 65 (5), 1166-1175, 2018 | 236 | 2018 |
| Implementing over 100 command codes for a high-speed hybrid brain-computer interface using concurrent P300 and SSVEP features M Xu, J Han, Y Wang, TP Jung, D Ming IEEE Transactions on Biomedical Engineering 67 (11), 3073-3082, 2020 | 170 | 2020 |
| A hybrid BCI speller paradigm combining P300 potential and the SSVEP blocking feature M Xu, H Qi, B Wan, T Yin, Z Liu, D Ming Journal of neural engineering 10 (2), 026001, 2013 | 161 | 2013 |
| Enhance decoding of pre-movement EEG patterns for brain–computer interfaces K Wang, M Xu, Y Wang, S Zhang, L Chen, D Ming Journal of neural engineering 17 (1), 016033, 2020 | 154 | 2020 |
| Cross-dataset variability problem in EEG decoding with deep learning L Xu, M Xu, Y Ke, X An, S Liu, D Ming Frontiers in human neuroscience 14, 103, 2020 | 122 | 2020 |
| Discriminative canonical pattern matching for single-trial classification of ERP components X Xiao, M Xu, J Jin, Y Wang, TP Jung, D Ming IEEE Transactions on Biomedical Engineering 67 (8), 2266-2275, 2019 | 118 | 2019 |
| The effects of transcranial direct current stimulation (tDCS) on working memory training in healthy young adults Y Ke, N Wang, J Du, L Kong, S Liu, M Xu, X An, D Ming Frontiers in human neuroscience 13, 19, 2019 | 111 | 2019 |
| Current challenges for the practical application of electroencephalography-based brain–computer interfaces M Xu, F He, TP Jung, X Gu, D Ming Engineering 7 (12), 1710-1712, 2021 | 88 | 2021 |
| Adaptive asynchronous control system of robotic arm based on augmented reality-assisted brain–computer interface L Chen, P Chen, S Zhao, Z Luo, W Chen, Y Pei, H Zhao, J Jiang, M Xu, ... Journal of Neural Engineering 18 (6), 066005, 2021 | 85 | 2021 |
| Incorporation of dynamic stopping strategy into the high-speed SSVEP-based BCIs J Jiang, E Yin, C Wang, M Xu, D Ming Journal of neural engineering 15 (4), 046025, 2018 | 85 | 2018 |
| Review of brain encoding and decoding mechanisms for EEG-based brain–computer interface L Xu, M Xu, TP Jung, D Ming Cognitive neurodynamics 15, 569-584, 2021 | 77 | 2021 |
| A tensor-based frequency features combination method for brain–computer interfaces Y Pei, Z Luo, H Zhao, D Xu, W Li, Y Yan, H Yan, L Xie, M Xu, E Yin IEEE Transactions on Neural Systems and Rehabilitation Engineering 30, 465-475, 2021 | 74 | 2021 |
| Temporal combination pattern optimization based on feature selection method for motor imagery BCIs J Jiang, C Wang, J Wu, W Qin, M Xu, E Yin Frontiers in Human Neuroscience 14, 231, 2020 | 69 | 2020 |
| A BCI based visual-haptic neurofeedback training improves cortical activations and classification performance during motor imagery Z Wang, Y Zhou, L Chen, B Gu, S Liu, M Xu, H Qi, F He, D Ming Journal of neural engineering 16 (6), 066012, 2019 | 58 | 2019 |
| A visual parallel-BCI speller based on the time–frequency coding strategy M Xu, L Chen, L Zhang, H Qi, L Ma, J Tang, B Wan, D Ming Journal of neural engineering 11 (2), 026014, 2014 | 54 | 2014 |
| BCI monitor enhances electroencephalographic and cerebral hemodynamic activations during motor training Z Wang, Y Zhou, L Chen, B Gu, W Yi, S Liu, M Xu, H Qi, F He, D Ming IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 (4 …, 2019 | 45 | 2019 |
| A brain-computer interface driven by imagining different force loads on a single hand: an online feasibility study K Wang, Z Wang, Y Guo, F He, H Qi, M Xu, D Ming Journal of neuroengineering and rehabilitation 14, 1-10, 2017 | 45 | 2017 |
| Channel selection based on phase measurement in P300-based brain-computer interface M Xu, H Qi, L Ma, C Sun, L Zhang, B Wan, T Yin, D Ming PloS one 8 (4), e60608, 2013 | 33 | 2013 |
| Optimizing SSVEP-based BCI system towards practical high-speed spelling J Tang, M Xu, J Han, M Liu, T Dai, S Chen, D Ming Sensors 20 (15), 4186, 2020 | 31 | 2020 |
| Use of a steady-state baseline to address evoked vs. oscillation models of visual evoked potential origin M Xu, Y Jia, H Qi, Y Hu, F He, X Zhao, P Zhou, L Zhang, B Wan, W Gao, ... Neuroimage 134, 204-212, 2016 | 31 | 2016 |
Tzyy-Ping JungUniv of California San Diego, National Tsing Hua Univ, National Yang Ming Chiao Tung Univ, Tianjin UGeverifieerd e-mailadres voor ucsd.edu