| A review of key techniques of vision-based control for harvesting robot Y Zhao, L Gong, Y Huang, C Liu Computers and Electronics in Agriculture 127, 311-323, 2016 | 361 | 2016 |
| Deep learning-based segmentation and quantification of cucumber powdery mildew using convolutional neural network K Lin, L Gong, Y Huang, C Liu, J Pan Frontiers in plant science 10, 422622, 2019 | 195 | 2019 |
| Adaptive feature extraction using sparse coding for machinery fault diagnosis H Liu, C Liu, Y Huang Mechanical Systems and Signal Processing 25 (2), 558-574, 2011 | 188 | 2011 |
| A hierarchical method based on weighted extreme gradient boosting in ECG heartbeat classification H Shi, H Wang, Y Huang, L Zhao, C Qin, C Liu Computer methods and programs in biomedicine 171, 1-10, 2019 | 146 | 2019 |
| Detecting tomatoes in greenhouse scenes by combining AdaBoost classifier and colour analysis Y Zhao, L Gong, B Zhou, Y Huang, C Liu Biosystems Engineering 148, 127-137, 2016 | 140 | 2016 |
| Dual-arm robot design and testing for harvesting tomato in greenhouse Y Zhao, L Gong, C Liu, Y Huang Ifac-Papersonline 49 (16), 161-165, 2016 | 119 | 2016 |
| Domain adaptive motor fault diagnosis using deep transfer learning D Xiao, Y Huang, L Zhao, C Qin, H Shi, C Liu Ieee Access 7, 80937-80949, 2019 | 106 | 2019 |
| Actual bearing compound fault diagnosis based on active learning and decoupling attentional residual network Y Jin, C Qin, Y Huang, C Liu Measurement 173, 108500, 2021 | 104 | 2021 |
| Robust tomato recognition for robotic harvesting using feature images fusion Y Zhao, L Gong, Y Huang, C Liu Sensors 16 (2), 173, 2016 | 96 | 2016 |
| A high-precision arrhythmia classification method based on dual fully connected neural network H Wang, H Shi, K Lin, C Qin, L Zhao, Y Huang, C Liu Biomedical Signal Processing and Control 58, 101874, 2020 | 94 | 2020 |
| Multi-domain modeling of atrial fibrillation detection with twin attentional convolutional long short-term memory neural networks Y Jin, C Qin, Y Huang, W Zhao, C Liu Knowledge-Based Systems 193, 105460, 2020 | 87 | 2020 |
| Transfer learning with convolutional neural networks for small sample size problem in machinery fault diagnosis D Xiao, Y Huang, C Qin, Z Liu, Y Li, C Liu Proceedings of the Institution of Mechanical Engineers, Part C: Journal of …, 2019 | 86 | 2019 |
| An improved convolutional neural network based approach for automated heartbeat classification H Wang, H Shi, X Chen, L Zhao, Y Huang, C Liu Journal of medical systems 44, 1-9, 2020 | 70 | 2020 |
| Discriminant diffusion maps analysis: A robust manifold learner for dimensionality reduction and its applications in machine condition monitoring and fault diagnosis Yixiang Huang, Xuan F Zha, Jay Lee, Chengliang Liu Mechanical Systems and Signal Processing, 2012 | 67* | 2012 |
| Fault diagnosis of asynchronous motors based on LSTM neural network D Xiao, Y Huang, X Zhang, H Shi, C Liu, Y Li 2018 prognostics and system health management conference (PHM-Chongqing …, 2018 | 64 | 2018 |
| A novel domain adaptive residual network for automatic atrial fibrillation detection Y Jin, C Qin, J Liu, K Lin, H Shi, Y Huang, C Liu Knowledge-Based Systems 203, 106122, 2020 | 56 | 2020 |
| Unsupervised machine fault diagnosis for noisy domain adaptation using marginal denoising autoencoder based on acoustic signals D Xiao, C Qin, H Yu, Y Huang, C Liu, J Zhang Measurement 176, 109186, 2021 | 53 | 2021 |
| Fault diagnosis of induction motors using recurrence quantification analysis and LSTM with weighted BN D Xiao, Y Huang, C Qin, H Shi, Y Li Shock and Vibration 2019, 2019 | 43 | 2019 |
| Fault knowledge transfer assisted ensemble method for remaining useful life prediction P Xia, Y Huang, P Li, C Liu, L Shi IEEE Transactions on Industrial Informatics 18 (3), 1758-1769, 2021 | 42 | 2021 |
| Inter-patient heartbeat classification based on region feature extraction and ensemble classifier H Shi, H Wang, F Zhang, Y Huang, L Zhao, C Liu Biomedical Signal Processing and Control 51, 97-105, 2019 | 42 | 2019 |
Fengyu CongProfessor, Dalian University of Technology, China; Docent, University of Jyvaskyla, FinlandVahvistettu sähköpostiosoite verkkotunnuksessa dlut.edu.cn
