| A review on electric vehicles interacting with renewable energy in smart grid L Liu, F Kong, X Liu, Y Peng, Q Wang Renewable and Sustainable Energy Reviews 51, 648-661, 2015 | 332 | 2015 |
| Entropy-based sensor selection for condition monitoring and prognostics of aircraft engine L Liu, S Wang, D Liu, Y Zhang, Y Peng Microelectronics Reliability 55 (9-10), 2092-2096, 2015 | 76 | 2015 |
| Data-driven remaining useful life prediction considering sensor anomaly detection and data recovery L Liu, Q Guo, D Liu, Y Peng IEEE access 7, 58336-58345, 2019 | 56 | 2019 |
| Data-driven anomaly detection for UAV sensor data based on deep learning prediction model B Wang, Z Wang, L Liu, D Liu, X Peng 2019 Prognostics and System Health Management Conference (PHM-Paris), 286-290, 2019 | 55 | 2019 |
| Fault detection of the harmonic reducer based on CNN-LSTM with a novel denoising algorithm Z Zhi, L Liu, D Liu, C Hu IEEE Sensors Journal 22 (3), 2572-2581, 2021 | 54 | 2021 |
| UAV sensor fault detection using a classifier without negative samples: A local density regulated optimization algorithm K Guo, L Liu, S Shi, D Liu, X Peng Sensors 19 (4), 771, 2019 | 53 | 2019 |
| Early fault detection of planetary gearbox based on acoustic emission and improved variational mode decomposition L Liu, L Chen, Z Wang, D Liu IEEE Sensors Journal 21 (2), 1735-1745, 2020 | 47 | 2020 |
| A hybrid method of remaining useful life prediction for aircraft auxiliary power unit X Liu, L Liu, D Liu, L Wang, Q Guo, X Peng IEEE Sensors Journal 20 (14), 7848-7858, 2020 | 47 | 2020 |
| Effective sensor selection and data anomaly detection for condition monitoring of aircraft engines L Liu, D Liu, Y Zhang, Y Peng Sensors 16 (5), 623, 2016 | 47 | 2016 |
| An electro-mechanical actuator motor voltage estimation method with a feature-aided Kalman filter Y Zhang, L Liu, Y Peng, D Liu Sensors 18 (12), 4190, 2018 | 33 | 2018 |
| A performance compensation method for GPS/INS integrated navigation system based on CNN–LSTM during GPS outages Z Zhi, D Liu, L Liu Measurement 188, 110516, 2022 | 32 | 2022 |
| A review of biosensor technology and algorithms for glucose monitoring Y Zhang, J Sun, L Liu, H Qiao Journal of Diabetes and its Complications 35 (8), 107929, 2021 | 29 | 2021 |
| Quantitative selection of sensor data based on improved permutation entropy for system remaining useful life prediction L Liu, S Wang, D Liu, Y Peng Microelectronics Reliability 75, 264-270, 2017 | 29 | 2017 |
| Related entropy theories application in condition monitoring of rotating machineries L Liu, Z Zhi, H Zhang, Q Guo, Y Peng, D Liu Entropy 21 (11), 1061, 2019 | 22 | 2019 |
| Improving EGT sensing data anomaly detection of aircraft auxiliary power unit LIU Liansheng, P Yu, W Lulu, D Yu, LIU Datong, GUO Qing Chinese Journal of Aeronautics 33 (2), 448-455, 2020 | 21 | 2020 |
| Degradation estimation of electro-mechanical actuator with multiple failure modes using integrated health indicators Y Zhang, Y Peng, L Liu IEEE Sensors Journal 20 (13), 7216-7225, 2020 | 20 | 2020 |
| Performance sensing data prediction for an aircraft auxiliary power unit using the optimized extreme learning machine X Liu, L Liu, L Wang, Q Guo, X Peng Sensors 19 (18), 3935, 2019 | 19 | 2019 |
| A Review of FPGA‐Based Custom Computing Architecture for Convolutional Neural Network Inference P Xiyuan, Y Jinxiang, Y Bowen, L Liansheng, P Yu Chinese Journal of Electronics 30 (1), 1-17, 2021 | 16 | 2021 |
| Health indicator extraction with phase current for power electronics of electro-mechanical actuator Y Zhang, L Liu, Y Peng, D Liu Measurement 159, 107787, 2020 | 16 | 2020 |
| MEMS Sensor data anomaly detection for the UAV flight control subsystem L Liu, M Liu, Q Guo, D Liu, Y Peng 2018 IEEE SENSORS, 1-4, 2018 | 13 | 2018 |
