| Bayesian deep-learning for RUL prediction: An active learning perspective R Zhu, Y Chen, W Peng, ZS Ye Reliability Engineering & System Safety 228, 108758, 2022 | 91 | 2022 |
| Bayesian transfer learning with active querying for intelligent cross-machine fault prognosis under limited data R Zhu, W Peng, D Wang, CG Huang Mechanical Systems and Signal Processing 183, 109628, 2023 | 90 | 2023 |
| State of health estimation for fast-charging lithium-ion battery based on incremental capacity analysis R Zhou, R Zhu, CG Huang, W Peng Journal of Energy Storage 51, 104560, 2022 | 76 | 2022 |
| Intelligent health monitoring of machine tools using a Bayesian multibranch neural network R Zhu, W Peng, Y Han, CG Huang IEEE Sensors Journal 22 (12), 12183-12196, 2022 | 10 | 2022 |
| State of health estimation of lithium ion battery with uncertainty quantification based on Bayesian deep learning Y Ke, R Zhou, R Zhu, W Peng 2021 3rd International Conference on System Reliability and Safety …, 2021 | 9 | 2021 |
| Degradation analysis with nonlinear exponential‐dispersion process: Bayesian offline and online perspectives Y Ding, R Zhu, W Peng, M Xie Quality and Reliability Engineering International 38 (7), 3844-3866, 2022 | 7 | 2022 |
| Early prediction of knee point and knee capacity for fast-charging Lithium-ion battery with uncertainty quantification and calibration Y Ke, Y Jiang, R Zhu, W Peng, X Tan IEEE Transactions on Transportation Electrification, 2023 | 6 | 2023 |
| Collaborative prognostics of lithium-ion batteries using federated learning with dynamic weighting and attention mechanism R Zhu, W Peng, ZS Ye, M Xie IEEE Transactions on Industrial Electronics, 2024 | 5 | 2024 |
| Fast Charging Protocols Design of Lithium-ion Battery: A Multiple Objective Bayesian Optimization Perspective R Zhu, W Peng, F Yang, M Xie IEEE Transactions on Transportation Electrification, 2025 | | 2025 |
