| A review on transfer learning in EEG signal analysis Z Wan, R Yang, M Huang, N Zeng, X Liu Neurocomputing 421, 1-14, 2021 | 321 | 2021 |
| A hybrid feature model and deep learning based fault diagnosis for unmanned aerial vehicle sensors D Guo, M Zhong, H Ji, Y Liu, R Yang Neurocomputing 319, 155-163, 2018 | 117 | 2018 |
| Deep transfer learning for bearing fault diagnosis: A systematic review since 2016 X Chen, R Yang, Y Xue, M Huang, R Ferrero, Z Wang IEEE Transactions on Instrumentation and Measurement, 2023 | 101 | 2023 |
| Smart chair for monitoring of sitting behavior M Huang, I Gibson, R Yang KnE Engineering, 274-280, 2017 | 91 | 2017 |
| Rotating machinery fault diagnosis using long-short-term memory recurrent neural network R Yang, M Huang, Q Lu, M Zhong IFAC-PapersOnLine 51 (24), 228-232, 2018 | 84 | 2018 |
| An improved fault diagnosis method of rotating machinery using sensitive features and RLS-BP neural network Q Lu, R Yang, M Zhong, Y Wang IEEE Transactions on Instrumentation and Measurement 69 (4), 1585-1593, 2019 | 74 | 2019 |
| An RBF neural network approach towards precision motion system with selective sensor fusion R Yang, PV Er, Z Wang, KK Tan Neurocomputing 199, 31-39, 2016 | 68 | 2016 |
| Deep common spatial pattern based motor imagery classification with improved objective function N Yu, R Yang, M Huang International Journal of Network Dynamics and Intelligence, 73-84, 2022 | 62 | 2022 |
| Graph-based semi-supervised random forest for rotating machinery gearbox fault diagnosis S Chen, R Yang, M Zhong Control Engineering Practice 117, 104952, 2021 | 46 | 2021 |
| Survey of movement reproduction in immersive virtual rehabilitation L Wang, M Huang, R Yang, HN Liang, J Han, Y Sun IEEE Transactions on Visualization and Computer Graphics 29 (4), 2184-2202, 2022 | 41 | 2022 |
| EEG fading data classification based on improved manifold learning with adaptive neighborhood selection Z Wan, R Yang, M Huang, W Liu, N Zeng Neurocomputing 482, 186-196, 2022 | 26 | 2022 |
| Motor imagery EEG signal classification based on deep transfer learning M Wei, R Yang, M Huang 2021 IEEE 34th International Symposium on Computer-Based Medical Systems …, 2021 | 26 | 2021 |
| Single-Source to Single-Target Cross-Subject Motor Imagery Classification Based on Multisubdomain Adaptation Network Y Chen, R Yang, M Huang, Z Wang, X Liu IEEE Transactions on Neural Systems and Rehabilitation Engineering 30, 1992 …, 2022 | 25 | 2022 |
| Deep Transfer Learning‐Based Fault Diagnosis for Gearbox under Complex Working Conditions Z Wan, R Yang, M Huang Shock and Vibration 2020 (1), 8884179, 2020 | 25 | 2020 |
| Design of a hybrid brain-computer interface and virtual reality system for post-stroke rehabilitation M Huang, Y Zheng, J Zhang, C Song, R Yang IFAC-papersonline 53 (2), 16010-16015, 2020 | 23 | 2020 |
| An unsupervised deep-transfer-learning-based motor imagery EEG classification scheme for brain–computer interface X Wang, R Yang, M Huang Sensors 22 (6), 2241, 2022 | 21 | 2022 |
| Parity space-based fault detection by minimum error minimax probability machine M Zhong, Y Song, T Xue, R Yang, W Li IFAC-PapersOnLine 51 (24), 1292-1297, 2018 | 20 | 2018 |
| Understanding the effects of hand design on embodiment in virtual reality J Zhang, M Huang, R Yang, Y Wang, X Tang, J Han, HN Liang AI EDAM 37, e10, 2023 | 17 | 2023 |
| Movement modulation in virtual rehabilitation: its influence on agency and motor performance L Wang, M Huang, Y Wang, R Yang, KL Liao, J Zhang, W Sun 2021 IEEE 9th International Conference on Serious Games and Applications for …, 2021 | 16 | 2021 |
| Rolling bearing incipient fault diagnosis method based on improved transfer learning with hybrid feature extraction Z Yang, R Yang, M Huang Sensors 21 (23), 7894, 2021 | 15 | 2021 |
Mengjie HuangXi’an Jiaotong-Liverpool University在 xjtlu.edu.cn 的电子邮件经过验证
