| 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 | 173 | 2019 |
| Precise cutterhead torque prediction for shield tunneling machines using a novel hybrid deep neural network C Qin, G Shi, J Tao, H Yu, Y Jin, J Lei, C Liu Mechanical Systems and Signal Processing 151, 107386, 2021 | 143 | 2021 |
| 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 | 132 | 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 | 131 | 2021 |
| A VMD-EWT-LSTM-based multi-step prediction approach for shield tunneling machine cutterhead torque G Shi, C Qin, J Tao, C Liu Knowledge-Based Systems 228, 107213, 2021 | 116 | 2021 |
| 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 | 111 | 2020 |
| 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 | 111 | 2020 |
| Automated heartbeat classification based on deep neural network with multiple input layers H Shi, C Qin, D Xiao, L Zhao, C Liu Knowledge-Based Systems 188, 105036, 2020 | 105 | 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 | 99 | 2019 |
| A novel Chebyshev-wavelet-based approach for accurate and fast prediction of milling stability C Qin, J Tao, H Shi, D Xiao, B Li, C Liu Precision Engineering 62, 244-255, 2020 | 85 | 2020 |
| An adaptive hierarchical decomposition-based method for multi-step cutterhead torque forecast of shield machine C Qin, G Shi, J Tao, H Yu, Y Jin, D Xiao, Z Zhang, C Liu Mechanical Systems and Signal Processing 175, 109148, 2022 | 76 | 2022 |
| DTCNNMI: A deep twin convolutional neural networks with multi-domain inputs for strongly noisy diesel engine misfire detection C Qin, Y Jin, J Tao, D Xiao, H Yu, C Liu, G Shi, J Lei, C Liu Measurement 180, 109548, 2021 | 74 | 2021 |
| A field parameters-based method for real-time wear estimation of disc cutter on TBM cutterhead H Yu, J Tao, S Huang, C Qin, D Xiao, C Liu Automation in Construction 124, 103603, 2021 | 73 | 2021 |
| Anti‐noise diesel engine misfire diagnosis using a multi‐scale CNN‐LSTM neural network with denoising module C Qin, Y Jin, Z Zhang, H Yu, J Tao, H Sun, C Liu CAAI Transactions on Intelligence Technology 8 (3), 963-986, 2023 | 68 | 2023 |
| An incremental learning system for atrial fibrillation detection based on transfer learning and active learning H Shi, H Wang, C Qin, L Zhao, C Liu Computer methods and programs in biomedicine 187, 105219, 2020 | 68 | 2020 |
| 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 | 65 | 2020 |
| Timely chatter identification for robotic drilling using a local maximum synchrosqueezing-based method J Tao, C Qin, D Xiao, H Shi, X Ling, B Li, C Liu Journal of Intelligent Manufacturing 31, 1243-1255, 2020 | 62 | 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 | 61 | 2021 |
| A novel constrained dense convolutional autoencoder and DNN-based semi-supervised method for shield machine tunnel geological formation recognition H Yu, J Tao, C Qin, M Liu, D Xiao, H Sun, C Liu Mechanical Systems and Signal Processing 165, 108353, 2022 | 60 | 2022 |
| TScatNet: An interpretable cross-domain intelligent diagnosis model with antinoise and few-shot learning capability C Liu, C Qin, X Shi, Z Wang, G Zhang, Y Han IEEE Transactions on Instrumentation and Measurement 70, 1-10, 2020 | 59 | 2020 |
