| STAnet: A spatiotemporal attention network for decoding auditory spatial attention from EEG E Su, S Cai, L Xie, H Li, T Schultz IEEE Transactions on Biomedical Engineering 69 (7), 2233-2242, 2022 | 109 | 2022 |
| SVM-based classification of sEMG signals for upper-limb self-rehabilitation training S Cai, Y Chen, S Huang, Y Wu, H Zheng, X Li, L Xie Frontiers in neurorobotics 13, 31, 2019 | 102 | 2019 |
| Damping-tunable energy-harvesting vehicle damper with multiple controlled generators: design, modeling and experiments L Xie, J Li, X Li, L Huang, S Cai Mechanical Systems and Signal Processing 99, 859-872, 2018 | 102 | 2018 |
| An unpowered flexible lower limb exoskeleton: Walking assisting and energy harvesting L Xie, G Huang, L Huang, S Cai, X Li IEEE/ASME Transactions on Mechatronics 24 (5), 2236-2247, 2019 | 66 | 2019 |
| Electromagnetic energy-harvesting damper with multiple independently controlled transducers: on-demand damping and optimal energy regeneration L Xie, J Li, S Cai, X Li IEEE/ASME Transactions on Mechatronics 22 (6), 2705-2713, 2017 | 62 | 2017 |
| A continuous estimation model of upper limb joint angles by using surface electromyography and deep learning method Y Chen, S Yu, K Ma, S Huang, G Li, S Cai, L Xie IEEE Access 7, 174940-174950, 2019 | 57 | 2019 |
| Detecting compensatory movements of stroke survivors using pressure distribution data and machine learning algorithms S Cai, G Li, X Zhang, S Huang, H Zheng, K Ma, L Xie Journal of neuroengineering and rehabilitation 16, 1-11, 2019 | 50 | 2019 |
| EEG-based auditory attention detection via frequency and channel neural attention S Cai, E Su, L Xie, H Li IEEE Transactions on Human-Machine Systems 52 (2), 256-266, 2021 | 38 | 2021 |
| On energy harvesting from a vehicle damper L Xie, S Cai, G Huang, L Huang, J Li, X Li IEEE/ASME Transactions on Mechatronics 25 (1), 108-117, 2019 | 38 | 2019 |
| sEMG-based trunk compensation detection in rehabilitation training K Ma, Y Chen, X Zhang, H Zheng, S Yu, S Cai, L Xie Frontiers in neuroscience 13, 1250, 2019 | 37 | 2019 |
| Knee-braced energy harvester: Reclaim energy and assist walking L Xie, X Li, S Cai, G Huang, L Huang Mechanical Systems and Signal Processing 127, 172-189, 2019 | 32 | 2019 |
| A practical EEG-based human-machine interface to online control an upper-limb assist robot Y Song, S Cai, L Yang, G Li, W Wu, L Xie Frontiers in Neurorobotics 14, 32, 2020 | 31 | 2020 |
| Increased energy harvesting from backpack to serve as self-sustainable power source via a tube-like harvester L Xie, X Li, S Cai, L Huang, J Li Mechanical Systems and Signal Processing 96, 215-225, 2017 | 30 | 2017 |
| Low-latency auditory spatial attention detection based on spectro-spatial features from EEG S Cai, P Sun, T Schultz, H Li 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 29 | 2021 |
| Real-time detection of compensatory patterns in patients with stroke to reduce compensation during robotic rehabilitation therapy S Cai, G Li, E Su, X Wei, S Huang, K Ma, H Zheng, L Xie IEEE journal of biomedical and health informatics 24 (9), 2630-2638, 2020 | 29 | 2020 |
| Development of a computer-aided design and finite-element analysis combined method for customized Nuss bar in pectus excavatum surgery L Xie, S Cai, L Xie, G Chen, H Zhou Scientific reports 7 (1), 3543, 2017 | 28 | 2017 |
| Design and experiments of a self-charged power bank by harvesting sustainable human motion L Xie, J Li, S Cai, X Li Advances in Mechanical Engineering 8 (5), 1687814016651371, 2016 | 28 | 2016 |
| Auditory attention detection via cross-modal attention S Cai, P Li, E Su, L Xie Frontiers in neuroscience 15, 652058, 2021 | 27 | 2021 |
| Low Latency Auditory Attention Detection with Common Spatial Pattern Analysis of EEG Signals. S Cai, E Su, Y Song, L Xie, H Li INTERSPEECH, 2772-2776, 2020 | 27 | 2020 |
| Brain topology modeling with EEG-graphs for auditory spatial attention detection S Cai, T Schultz, H Li IEEE Transactions on Biomedical Engineering 71 (1), 171-182, 2023 | 24 | 2023 |
Haizhou LiThe Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), China; NUS, Singaporeu.nus.edu üzerinde doğrulanmış e-posta adresine sahip