| From design to applications of stimuli-responsive hydrogel strain sensors D Zhang, B Ren, Y Zhang, L Xu, Q Huang, Y He, X Li, J Wu, J Yang, ... Journal of materials chemistry B 8 (16), 3171-3191, 2020 | 175 | 2020 |
| Acoustic signal analysis for detecting defects inside an arc magnet using a combination of variational mode decomposition and beetle antennae search Q Huang, L Xie, G Yin, M Ran, X Liu, J Zheng ISA transactions 102, 347-364, 2020 | 44 | 2020 |
| Automatic classification of magnetic tiles internal defects based on acoustic resonance analysis Q Huang, Y Yin, G Yin Mechanical Systems and Signal Processing 60, 45-58, 2015 | 20 | 2015 |
| A novel microgrid islanding detection algorithm based on a multi-feature improved LSTM Y Xia, F Yu, X Xiong, Q Huang, Q Zhou Energies 15 (8), 2810, 2022 | 16 | 2022 |
| A parameter-optimized variational mode decomposition method using salp swarm algorithm and its application to acoustic-based detection for internal defects of arc magnets Q Huang, X Liu, Q Li, Y Zhou, T Yang, M Ran AIP Advances 11 (6), 2021 | 14 | 2021 |
| Inspection of magnetic tile internal cracks based on impact acoustics L Xie, Q Huang, Y Zhao, G Yin Nondestructive Testing and Evaluation 30 (2), 147-164, 2015 | 14 | 2015 |
| Internal defect inspection in magnetic tile by using acoustic resonance technology L Xie, M Yin, Q Huang, Y Zhao, Z Deng, Z Xiang, G Yin Journal of Sound and Vibration 383, 108-123, 2016 | 13 | 2016 |
| Threshold‐Optimized Swarm Decomposition Using Grey Wolf Optimizer for the Acoustic‐Based Internal Defect Detection of Arc Magnets Q Huang, Q Li, M Ran, X Liu, Y Zhou Shock and Vibration 2021 (1), 6636873, 2021 | 9 | 2021 |
| A lightweight transfer learning model with pruned and distilled YOLOv5s to identify arc magnet surface defects Q Huang, Y Zhou, T Yang, K Yang, L Cao, Y Xia Applied Sciences 13 (4), 2078, 2023 | 8 | 2023 |
| Internal defects inspection of arc magnets using multi-head attention-based CNN Q Li, Q Huang, T Yang, Y Zhou, K Yang, H Song Measurement 202, 111808, 2022 | 8 | 2022 |
| Combined convolutional and LSTM recurrent neural networks for internal defect detection of arc magnets under strong noises and variable object types Q Li, Q Huang, Y Zhou, T Yang, M Ran, X Liu IEEE Access 9, 71446-71460, 2021 | 5 | 2021 |
| Internal Defect Identification of Arc Magnets Based on a Deep Residual Network Combined with GRU and SqueezeNet Y Zhou, Q Huang, T Yang, Q Li 2021 4th International Conference on Pattern Recognition and Artificial …, 2021 | 2 | 2021 |
| Knowledge Distillation for Enhancing a Lightweight Magnet Tile Target Detection Model: Leveraging Spatial Attention and Multi-Scale Output Features Q Huang, K Yang, Y Zhu, L Chen, L Cao Electronics 12 (22), 4589, 2023 | 1 | 2023 |
| A harmonic suppression strategy for grid-connected inverters based on quadrature sinewave extractor Y Xia, Z Feng, R Chen, J Wu, Q Huang Frontiers in Energy Research 10, 1020676, 2022 | 1 | 2022 |
| Application of dtcwpt and nca-lssvm to inspect internal defects of magnetic tile LF Xie, HN Xu, QY Huang, Y ZHAO, GF YIN Journal of Zhejiang University, 2017 | 1 | 2017 |
| Comprehensive review of edge and contour detection: from traditional methods to recent advances Q Huang, J Huang Neural Computing and Applications, 1-35, 2025 | | 2025 |
| Acoustic emission-based leakage detection for gas safety valves: Leveraging a multi-domain encoding learning algorithm Q Huang, X Shi, W Hu, Y Luo Measurement 242, 116011, 2025 | | 2025 |
| Acoustic Emission-based Method for Detecting Safety Valve Leakage Using SGMD L Chen, W Hu, X Shi, Q Huang International Core Journal of Engineering 9 (12), 134-145, 2023 | | 2023 |
| GAF and CBAM-ResNet: An Efficient Combination for Identifying the Degree of Safety Valve Leakage L Chen, Q Huang, W Hu, X Shi 2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical …, 2023 | | 2023 |
| An adaptive output-feature knowledge distillation of YOLOv5 for identifying magnetic tiles K Yang, Q Huang, Y Zhu 2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical …, 2023 | | 2023 |
