| Attention mechanism-based CNN for facial expression recognition J Li, K Jin, D Zhou, N Kubota, Z Ju Neurocomputing 411, 340-350, 2020 | 254 | 2020 |
| Learning for a robot: Deep reinforcement learning, imitation learning, transfer learning J Hua, L Zeng, G Li, Z Ju Sensors 21 (4), 1278, 2021 | 174 | 2021 |
| How to build a supervised autonomous system for robot-enhanced therapy for children with autism spectrum disorder PG Esteban, P Baxter, T Belpaeme, E Billing, H Cai, HL Cao, ... Paladyn, Journal of Behavioral Robotics 8 (1), 18-38, 2017 | 154 | 2017 |
| Gesture recognition based on binocular vision D Jiang, Z Zheng, G Li, Y Sun, J Kong, G Jiang, H Xiong, B Tao, S Xu, ... Cluster Computing 22, 13261-13271, 2019 | 145 | 2019 |
| Human hand motion analysis with multisensory information Z Ju, H Liu IEEE/AsMe Transactions on Mechatronics 19 (2), 456-466, 2013 | 138 | 2013 |
| A symplectic instantaneous optimal control for robot trajectory tracking with differential-algebraic equation models H Peng, F Li, J Liu, Z Ju IEEE Transactions on Industrial Electronics 67 (5), 3819-3829, 2019 | 120 | 2019 |
| Surface EMG based hand manipulation identification via nonlinear feature extraction and classification Z Ju, G Ouyang, M Wilamowska-Korsak, H Liu IEEE Sensors Journal 13 (9), 3302-3311, 2013 | 118 | 2013 |
| Dual-hand detection for human–robot interaction by a parallel network based on hand detection and body pose estimation Q Gao, J Liu, Z Ju, X Zhang IEEE Transactions on Industrial Electronics 66 (12), 9663-9672, 2019 | 113 | 2019 |
| A novel feature extraction method for machine learning based on surface electromyography from healthy brain G Li, J Li, Z Ju, Y Sun, J Kong Neural Computing and Applications 31, 9013-9022, 2019 | 111 | 2019 |
| Biologically inspired motion modeling and neural control for robot learning from demonstrations C Yang, C Chen, N Wang, Z Ju, J Fu, M Wang IEEE Transactions on Cognitive and Developmental Systems 11 (2), 281-291, 2018 | 106 | 2018 |
| Dynamical characteristics of surface EMG signals of hand grasps via recurrence plot G Ouyang, X Zhu, Z Ju, H Liu IEEE journal of biomedical and health informatics 18 (1), 257-265, 2013 | 102 | 2013 |
| Fuzzy gaussian mixture models Z Ju, H Liu Pattern Recognition 45 (3), 1146-1158, 2012 | 96 | 2012 |
| Robust real-time hand detection and localization for space human–robot interaction based on deep learning Q Gao, J Liu, Z Ju Neurocomputing 390, 198-206, 2020 | 91 | 2020 |
| Physical human–robot collaboration: Robotic systems, learning methods, collaborative strategies, sensors, and actuators UE Ogenyi, J Liu, C Yang, Z Ju, H Liu IEEE transactions on cybernetics 51 (4), 1888-1901, 2019 | 87 | 2019 |
| An interactive image segmentation method in hand gesture recognition D Chen, G Li, Y Sun, J Kong, G Jiang, H Tang, Z Ju, H Yu, H Liu Sensors 17 (2), 253, 2017 | 86 | 2017 |
| Effective capture of nongraspable objects for space robots using geometric cage pairs X Zhang, J Liu, J Feng, Y Liu, Z Ju IEEE/ASME transactions on mechatronics 25 (1), 95-107, 2019 | 81 | 2019 |
| RGB-D sensing based human action and interaction analysis: A survey B Liu, H Cai, Z Ju, H Liu Pattern Recognition 94, 1-12, 2019 | 81 | 2019 |
| A unified fuzzy framework for human-hand motion recognition Z Ju, H Liu IEEE Transactions on Fuzzy Systems 19 (5), 901-913, 2011 | 77 | 2011 |
| Multimodal human hand motion sensing and analysis—A review Y Xue, Z Ju, K Xiang, J Chen, H Liu IEEE Transactions on Cognitive and Developmental Systems 11 (2), 162-175, 2018 | 73 | 2018 |
| Decomposition algorithm for depth image of human health posture based on brain health B Luo, Y Sun, G Li, D Chen, Z Ju Neural Computing and Applications 32, 6327-6342, 2020 | 71 | 2020 |
Honghai LiuPortsmouth University在 port.ac.uk 的电子邮件经过验证
