| A multiscale framework with extended Kalman filter for lithium-ion battery SOC and capacity estimation C Hu, BD Youn, J Chung Applied Energy 92, 694-704, 2012 | 572 | 2012 |
| Ensemble of data-driven prognostic algorithms for robust prediction of remaining useful life C Hu, BD Youn, P Wang, JT Yoon Reliability Engineering & System Safety 103, 120-135, 2012 | 409 | 2012 |
| Ensemble of data-driven prognostic algorithms for robust prediction of remaining useful life C Hu, BD Youn, P Wang Prognostics and Health Management (PHM), 2011 IEEE Conference on, 1-10, 2011 | 409 | 2011 |
| Deep convolutional neural networks with ensemble learning and transfer learning for capacity estimation of lithium-ion batteries S Shen, M Sadoughi, M Li, Z Wang, C Hu Applied Energy 260, 114296, 2020 | 290 | 2020 |
| Data-driven method based on particle swarm optimization and k-nearest neighbor regression for estimating capacity of lithium-ion battery C Hu, G Jain, P Zhang, C Schmidt, P Gomadam, T Gorka Applied Energy 129, 49-55, 2014 | 250 | 2014 |
| A deep learning method for online capacity estimation of lithium-ion batteries S Shen, M Sadoughi, X Chen, M Hong, C Hu Journal of Energy Storage 25, 100817, 2019 | 248 | 2019 |
| Resilience-Driven System Design of Complex Engineered Systems BD Youn, C Hu, P Wang Journal of Mechanical Design 133 (10), 101011, 2011 | 248 | 2011 |
| Adaptive-sparse polynomial chaos expansion for reliability analysis and design of complex engineering systems C Hu, BD Youn Structural and Multidisciplinary Optimization 43 (3), 419-442, 2011 | 207 | 2011 |
| A generic probabilistic framework for structural health prognostics and uncertainty management P Wang, BD Youn, C Hu Mechanical Systems and Signal Processing 28, 622-637, 2012 | 197 | 2012 |
| Method for estimating capacity and predicting remaining useful life of lithium-ion battery C Hu, G Jain, P Tamirisa, T Gorka Applied Energy 126, 182–189, 2014 | 176 | 2014 |
| Online estimation of lithium-ion battery capacity using sparse Bayesian learning C Hu, G Jain, C Schmidt, C Strief, M Sullivan Journal of Power Sources 289, 105-113, 2015 | 158 | 2015 |
| An ensemble learning-based prognostic approach with degradation-dependent weights for remaining useful life prediction Z Li, D Wu, C Hu, J Terpenny Reliability Engineering & System Safety 184, 110-122, 2019 | 148 | 2019 |
| Multi-dimensional variational mode decomposition for bearing-crack detection in wind turbines with large driving-speed variations Z Li, Y Jiang, Q Guo, C Hu, Z Peng Renewable Energy 116, 55-73, 2018 | 147 | 2018 |
| A generic model-free approach for lithium-ion battery health management G Bai, P Wang, C Hu, M Pecht Applied Energy 135, 247-260, 2014 | 138 | 2014 |
| Recent progress on decoupling diagnosis of hybrid failures in gear transmission systems using vibration sensor signal: A review Z Li, Y Jiang, C Hu, Z Peng Measurement 90, 4-19, 2016 | 134 | 2016 |
| Physics-Based Convolutional Neural Network for Fault Diagnosis of Rolling Element Bearings M Sadoughi, C Hu IEEE Sensors Journal 19 (11), 4181-4192, 2019 | 115 | 2019 |
| A physics-informed deep learning approach for bearing fault detection S Shen, H Lu, M Sadoughi, C Hu, V Nemani, A Thelen, K Webster, M Darr, ... Engineering Applications of Artificial Intelligence 103, 104295, 2021 | 98 | 2021 |
| Physics-based prognostics of lithium-ion battery using non-linear least squares with dynamic bounds A Downey, YH Lui, C Hu, S Laflamme, S Hu Reliability Engineering & System Safety 182, 1-12, 2019 | 96 | 2019 |
| Remaining useful life assessment of lithium-ion batteries in implantable medical devices C Hu, H Ye, G Jain, C Schmidt Journal of Power Sources 375, 118-130, 2018 | 88 | 2018 |
| Ultra high-precision studies of degradation mechanisms in aged LiCoO2/graphite Li-ion cells R Fathi, JC Burns, DA Stevens, H Ye, C Hu, G Jain, E Scott, C Schmidt, ... Journal of The Electrochemical Society 161 (10), A1572, 2014 | 76 | 2014 |
Byeng Dong YounSeoul National UniversityVerified email at snu.ac.kr
