| Lithium-ion battery capacity and remaining useful life prediction using board learning system and long short-term memory neural network S Zhao, C Zhang, Y Wang Journal of Energy Storage 52, 104901, 2022 | 154 | 2022 |
| Transformer fault diagnosis method using IoT based monitoring system and ensemble machine learning C Zhang, Y He, B Du, L Yuan, B Li, S Jiang Future generation computer systems 108, 533-545, 2020 | 116 | 2020 |
| Analog circuit incipient fault diagnosis method using DBN based features extraction C Zhang, Y He, L Yuan, S Xiang Ieee Access 6, 23053-23064, 2018 | 116 | 2018 |
| An integrated method of the future capacity and RUL prediction for lithium-ion battery pack C Zhang, S Zhao, Y He IEEE Transactions on Vehicular Technology 71 (3), 2601-2613, 2021 | 109 | 2021 |
| Capacity prognostics of lithium-ion batteries using EMD denoising and multiple kernel RVM C Zhang, Y He, L Yuan, S Xiang Ieee Access 5, 12061-12070, 2017 | 85 | 2017 |
| Remaining useful life prediction and state of health diagnosis of lithium-ion battery based on second-order central difference particle filter Y Chen, Y He, Z Li, L Chen, C Zhang IEEE Access 8, 37305-37313, 2020 | 71 | 2020 |
| Effects of increasing the footprints of uncertainty on analytical structure of the classes of interval type-2 Mamdani and TS fuzzy controllers H Zhou, H Ying, C Zhang IEEE Transactions on Fuzzy Systems 27 (9), 1881-1890, 2019 | 63 | 2019 |
| A reliable data-driven state-of-health estimation model for lithium-ion batteries in electric vehicles C Zhang, S Zhao, Z Yang, Y Chen Frontiers in Energy Research 10, 1013800, 2022 | 60 | 2022 |
| A novel approach for diagnosis of analog circuit fault by using GMKL-SVM and PSO C Zhang, Y He, L Yuan, W He, S Xiang, Z Li Journal of Electronic Testing 32, 531-540, 2016 | 53 | 2016 |
| Progress and trends in fault diagnosis for renewable and sustainable energy system based on infrared thermography: A review B Du, Y He, Y He, C Zhang Infrared Physics & Technology 109, 103383, 2020 | 49 | 2020 |
| A naive-Bayes-based fault diagnosis approach for analog circuit by using image-oriented feature extraction and selection technique W He, Y He, B Li, C Zhang IEEE Access 8, 5065-5079, 2019 | 47 | 2019 |
| Combined economic and emission dispatch problem of wind‐thermal power system using gravitational particle swarm optimization algorithm S Jiang, C Zhang, W Wu, S Chen Mathematical Problems in Engineering 2019 (1), 5679361, 2019 | 46 | 2019 |
| Transformer fault diagnosis method based on self-powered RFID sensor tag, DBN, and MKSVM C Zhang, Y He, S Jiang, T Wang, L Yuan, B Li IEEE Sensors Journal 19 (18), 8202-8214, 2019 | 44 | 2019 |
| A CMOS humidity sensor for passive RFID sensing applications F Deng, Y He, C Zhang, W Feng Sensors 14 (5), 8728-8739, 2014 | 44 | 2014 |
| An analog circuit fault diagnosis approach based on improved wavelet transform and MKELM C Zhang, Y He, T Yang, B Zhang, J Wu Circuits, Systems, and Signal Processing, 1-32, 2022 | 42 | 2022 |
| Prognostics of Lithium‐Ion Batteries Based on Wavelet Denoising and DE‐RVM C Zhang, Y He, L Yuan, S Xiang, J Wang Computational intelligence and neuroscience 2015 (1), 918305, 2015 | 39 | 2015 |
| Battery SOH estimation method based on gradual decreasing current, double correlation analysis and GRU C Zhang, L Luo, Z Yang, S Zhao, Y He, X Wang, H Wang Green Energy and Intelligent Transportation 2 (5), 100108, 2023 | 38 | 2023 |
| A multi-fault diagnosis method for lithium-ion battery pack using curvilinear Manhattan distance evaluation and voltage difference analysis C Zhang, S Zhao, Z Yang, Y He Journal of Energy Storage 67, 107575, 2023 | 33 | 2023 |
| A novel approach for analog circuit fault prognostics based on improved RVM C Zhang, Y He, L Yuan, F Deng Journal of Electronic Testing 30, 343-356, 2014 | 32 | 2014 |
| Self-powered RFID sensor tag for fault diagnosis and prognosis of transformer winding T Wang, Y He, Q Luo, F Deng, C Zhang IEEE Sensors Journal 17 (19), 6418-6430, 2017 | 31 | 2017 |
