| Parkinson's disease classification using gait analysis via deterministic learning W Zeng, F Liu, Q Wang, Y Wang, L Ma, Y Zhang Neuroscience letters 633, 268-278, 2016 | 139 | 2016 |
| Classification of neurodegenerative diseases using gait dynamics via deterministic learning W Zeng, C Wang Information Sciences 317, 246-258, 2015 | 118 | 2015 |
| Silhouette-based gait recognition via deterministic learning W Zeng, C Wang, F Yang Pattern recognition 47 (11), 3568-3584, 2014 | 88 | 2014 |
| Fusion of spatial-temporal and kinematic features for gait recognition with deterministic learning M Deng, C Wang, F Cheng, W Zeng Pattern Recognition 67, 186-200, 2017 | 75 | 2017 |
| Classification of gait patterns between patients with Parkinson’s disease and healthy controls using phase space reconstruction (PSR), empirical mode decomposition (EMD) and … W Zeng, C Yuan, Q Wang, F Liu, Y Wang Neural Networks 111, 64-76, 2019 | 64 | 2019 |
| Hand gesture recognition using leap motion via deterministic learning W Zeng, C Wang, Q Wang Multimedia tools and applications 77, 28185-28206, 2018 | 54 | 2018 |
| View-invariant gait recognition via deterministic learning W Zeng, C Wang Neurocomputing 175, 324-335, 2016 | 53 | 2016 |
| Model-based human gait recognition via deterministic learning W Zeng, C Wang, Y Li Cognitive Computation 6, 218-229, 2014 | 53 | 2014 |
| Human gait recognition via deterministic learning W Zeng, C Wang neural networks 35, 92-102, 2012 | 53 | 2012 |
| Learning from adaptive neural network output feedback control of a unicycle-type mobile robot W Zeng, Q Wang, F Liu, Y Wang ISA transactions 61, 337-347, 2016 | 48 | 2016 |
| A new approach for the detection of abnormal heart sound signals using TQWT, VMD and neural networks W Zeng, J Yuan, C Yuan, Q Wang, F Liu, Y Wang Artificial Intelligence Review 54 (3), 1613-1647, 2021 | 44 | 2021 |
| Kinect-based hand gesture recognition using trajectory information, hand motion dynamics and neural networks F Liu, W Zeng, C Yuan, Q Wang, Y Wang Artificial Intelligence Review 52, 563-583, 2019 | 40 | 2019 |
| Identification of epileptic seizures in EEG signals using time-scale decomposition (ITD), discrete wavelet transform (DWT), phase space reconstruction (PSR) and neural networks W Zeng, M Li, C Yuan, Q Wang, F Liu, Y Wang Artificial Intelligence Review 53 (4), 3059-3088, 2020 | 38 | 2020 |
| Distributed model reference adaptive containment control of heterogeneous uncertain multi-agent systems C Yuan, W Zeng, SL Dai ISA transactions 86, 73-86, 2019 | 37 | 2019 |
| Classification of myocardial infarction based on hybrid feature extraction and artificial intelligence tools by adopting tunable-Q wavelet transform (TQWT), variational mode … W Zeng, J Yuan, C Yuan, Q Wang, F Liu, Y Wang Artificial Intelligence in Medicine 106, 101848, 2020 | 35 | 2020 |
| Classification of focal and non focal EEG signals using empirical mode decomposition (EMD), phase space reconstruction (PSR) and neural networks W Zeng, M Li, C Yuan, Q Wang, F Liu, Y Wang Artificial Intelligence Review 52, 625-647, 2019 | 27 | 2019 |
| Output containment control of heterogeneous multi-agent systems with leaders of bounded inputs: An adaptive finite-time observer approach C Yuan, W Zeng Journal of the Franklin Institute 356 (6), 3419-3442, 2019 | 27 | 2019 |
| Gait recognition across different walking speeds via deterministic learning W Zeng, C Wang Neurocomputing 152, 139-150, 2015 | 25 | 2015 |
| Learning from NN output feedback control of robot manipulators W Zeng, C Wang Neurocomputing 125, 172-182, 2014 | 25 | 2014 |
| Detection of heart valve disorders from PCG signals using TQWT, FA-MVEMD, Shannon energy envelope and deterministic learning W Zeng, Z Lin, C Yuan, Q Wang, F Liu, Y Wang Artificial Intelligence Review, 1-38, 2021 | 24 | 2021 |
Chengzhi YuanAssociate Professor of Mechanical Engineering, University of Rhode Island在 uri.edu 的电子邮件经过验证
