| 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 | 334 | 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 | 196 | 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 | 156 | 2020 |
| 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 | 142 | 2022 |
| 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 | 136 | 2021 |
| 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 | 131 | 2018 |
| 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 | 109 | 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 | 90 | 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 | 75 | 2021 |
| Multi-sensor data fusion-enabled semi-supervised optimal temperature-guided PCL framework for machinery fault diagnosis X Jiang, X Li, Q Wang, Q Song, J Liu, Z Zhu Information Fusion 101, 102005, 2024 | 55 | 2024 |
| Smart multichannel mode extraction for enhanced bearing fault diagnosis Q Song, X Jiang, G Du, J Liu, Z Zhu Mechanical Systems and Signal Processing 189, 110107, 2023 | 51 | 2023 |
| 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 | 49 | 2020 |
| 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 | 48 | 2022 |
| 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 | 48 | 2021 |
| Graph features dynamic fusion learning driven by multi-head attention for large rotating machinery fault diagnosis with multi-sensor data X Zhang, X Zhang, J Liu, B Wu, Y Hu Engineering Applications of Artificial Intelligence 125, 106601, 2023 | 46 | 2023 |
| 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 | 43 | 2022 |
| 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 | 40 | 2021 |
| Deep graph feature learning-based diagnosis approach for rotating machinery using multi-sensor data K Zhou, C Yang, J Liu, Q Xu Journal of Intelligent Manufacturing 34 (4), 1965-1974, 2023 | 36 | 2023 |
| 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 | 36 | 2021 |
| 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 | 34 | 2020 |
Ming-Feng Ge (葛明峰)IEEE Senior Member, Top 2% Worldwide Scientist, Professor, China University of Geosciences, WuhanVerified email at cug.edu.cn