| A review on state of health estimations and remaining useful life prognostics of lithium-ion batteries MF Ge, Y Liu, X Jiang, J Liu Measurement 174, 109057, 2021 | 232 | 2021 |
| Data-driven Fault Diagnosis Method based on Compressed Sensing and Improved Multi-scale Network ZX Hu, Y Wang, MF Ge, J Liu IEEE Transactions on Industrial Electronics 67 (4), 3216-3225, 2019 | 158 | 2019 |
| Application of magnetic nanoparticles in petroleum industry: A review K Zhou, X Zhou, J Liu, Z Huang Journal of Petroleum Science and Engineering 188, 106943, 2020 | 124 | 2020 |
| An integrated multi-sensor fusion-based deep feature learning approach for rotating machinery diagnosis J Liu, Y Hu, Y Wang, B Wu, J Fan, Z Hu Measurement Science and Technology 29 (5), 055103, 2018 | 119 | 2018 |
| SuperGraph: Spatial-temporal graph-based feature extraction for rotating machinery diagnosis C Yang, K Zhou, J Liu IEEE Transactions on Industrial Electronics 69 (4), 4167-4176, 2021 | 104 | 2021 |
| Imbalanced fault diagnosis of rolling bearing using improved MsR-GAN and feature enhancement-driven CapsNet J Liu, C Zhang, X Jiang Mechanical Systems and Signal Processing 168, 108664, 2022 | 100 | 2022 |
| An improved fault diagnosis approach for FDM process with acoustic emission J Liu, Y Hu, B Wu, Y Wang Journal of Manufacturing Processes 35, 570-579, 2018 | 99 | 2018 |
| 3D separable convolutional neural network for dynamic hand gesture recognition Z Hu, Y Hu, J Liu, B Wu, D Han, T Kurfess Neurocomputing 318, 151-161, 2018 | 83 | 2018 |
| Dynamic graph-based feature learning with few edges considering noisy samples for rotating machinery fault diagnosis K Zhou, C Yang, J Liu, Q Xu IEEE Transactions on Industrial Electronics 69 (10), 10595-10604, 2021 | 56 | 2021 |
| A modified variational mode decomposition method based on envelope nesting and multi-criteria evaluation Y Zhao, C Li, W Fu, J Liu, T Yu, H Chen Journal of Sound and Vibration 468, 115099, 2020 | 42 | 2020 |
| Deep convolutional neural network-based Bernoulli heatmap for head pose estimation Z Hu, Y Xing, C Lv, P Hang, J Liu Neurocomputing 436, 198-209, 2021 | 40 | 2021 |
| Imbalanced fault diagnosis of rotating machinery using autoencoder-based SuperGraph feature learning J Liu, K Zhou, C Yang, G Lu Frontiers of Mechanical Engineering 16 (4), 829-839, 2021 | 35 | 2021 |
| A hybrid health condition monitoring method in milling operations J Liu, Y Hu, B Wu, C Jin The International Journal of Advanced Manufacturing Technology 92, 2069-2080, 2017 | 33 | 2017 |
| Fast prediction of reservoir permeability based on embedded feature selection and LightGBM using direct logging data K Zhou, Y Hu, H Pan, L Kong, J Liu, Z Huang, T Chen Measurement Science and Technology 31 (4), 045101, 2020 | 32 | 2020 |
| A combined multi-objective optimization model for degradation trend prediction of pumped storage unit Y Shan, J Liu, Y Xu, J Zhou Measurement 169, 108373, 2021 | 30 | 2021 |
| An improved multi-channel graph convolutional network and its applications for rotating machinery diagnosis C Yang, J Liu, K Zhou, X Jiang, X Zeng Measurement 190, 110720, 2022 | 29 | 2022 |
| Deep balanced cascade forest: An novel fault diagnosis method for data imbalance H Chen, C Li, W Yang, J Liu, X An, Y Zhao ISA transactions 126, 428-439, 2022 | 28 | 2022 |
| A fault diagnosis method for rotating machinery based on improved variational mode decomposition and a hybrid artificial sheep algorithm Y Shan, J Zhou, W Jiang, J Liu, Y Xu, Y Zhao Measurement Science and Technology 30 (5), 055002, 2019 | 27 | 2019 |
| A hybrid generalized hidden Markov model-based condition monitoring approach for rolling bearings J Liu, Y Hu, B Wu, Y Wang, F Xie Sensors 17 (5), 1143, 2017 | 27 | 2017 |
| Rotated feature network for multiorientation object detection of remote-sensing images K Zhou, Z Zhang, C Gao, J Liu IEEE Geoscience and Remote Sensing Letters 18 (1), 33-37, 2020 | 26 | 2020 |
Ming-Feng Ge (葛明峰)IEEE Senior Member, Professor, China University of Geosciences, WuhanVerified email at cug.edu.cn
