| A study of the relationship between coulombic efficiency and capacity degradation of commercial lithium-ion batteries F Yang, D Wang, Y Zhao, KL Tsui, SJ Bae Energy 145, 486-495, 2018 | 280 | 2018 |
| Remaining useful life prediction of lithium-ion batteries based on spherical cubature particle filter D Wang, F Yang, KL Tsui, Q Zhou, SJ Bae IEEE Transactions on Instrumentation and Measurement 65 (6), 1282-1291, 2016 | 243 | 2016 |
| Degradation models and implied lifetime distributions SJ Bae, W Kuo, PH Kvam Reliability Engineering & System Safety 92 (5), 601-608, 2007 | 200 | 2007 |
| A nonlinear random-coefficients model for degradation testing SJ Bae, PH Kvam Technometrics 46 (4), 460-469, 2004 | 195 | 2004 |
| Direct prediction methods on lifetime distribution of organic light-emitting diodes from accelerated degradation tests JI Park, SJ Bae IEEE Transactions on Reliability 59 (1), 74-90, 2010 | 146 | 2010 |
| Detection of spatial defect patterns generated in semiconductor fabrication processes T Yuan, W Kuo, SJ Bae IEEE Transactions on Semiconductor Manufacturing 24 (3), 392-403, 2011 | 123 | 2011 |
| Bi-objective scheduling for reentrant hybrid flow shop using Pareto genetic algorithm HM Cho, SJ Bae, J Kim, IJ Jeong Computers & Industrial Engineering 61 (3), 529-541, 2011 | 110 | 2011 |
| A Bayesian approach to modeling two-phase degradation using change-point regression SJ Bae, T Yuan, S Ning, W Kuo Reliability engineering & system safety 134, 66-74, 2015 | 96 | 2015 |
| Battery state of health modeling and remaining useful life prediction through time series model CP Lin, J Cabrera, F Yang, MH Ling, KL Tsui, SJ Bae Applied Energy 275, 115338, 2020 | 87 | 2020 |
| A change-point analysis for modeling incomplete burn-in for light displays SJ Bae, PH Kvam IIE transactions 38 (6), 489-498, 2006 | 85 | 2006 |
| Lifetime prediction of a polymer electrolyte membrane fuel cell via an accelerated startup–shutdown cycle test SJ Bae, SJ Kim, JI Park, CW Park, JH Lee, I Song, N Lee, KB Kim, JY Park international journal of hydrogen energy 37 (12), 9775-9781, 2012 | 79 | 2012 |
| Dual features functional support vector machines for fault detection of rechargeable batteries JI Park, SH Baek, MK Jeong, SJ Bae IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2009 | 67 | 2009 |
| Bayesian analysis of two-phase degradation data based on change-point Wiener process P Wang, Y Tang, SJ Bae, Y He Reliability Engineering & System Safety 170, 244-256, 2018 | 64 | 2018 |
| Degradation pattern prediction of a polymer electrolyte membrane fuel cell stack with series reliability structure via durability data of single cells SJ Bae, SJ Kim, JH Lee, I Song, NI Kim, Y Seo, KB Kim, N Lee, JY Park Applied energy 131, 48-55, 2014 | 63 | 2014 |
| Bayesian approach for two-phase degradation data based on change-point Wiener process with measurement errors P Wang, Y Tang, SJ Bae, A Xu IEEE Transactions on Reliability 67 (2), 688-700, 2018 | 61 | 2018 |
| Reliability estimation from linear degradation and failure time data with competing risks under a step-stress accelerated degradation test F Haghighi, SJ Bae IEEE Transactions on Reliability 64 (3), 960-971, 2015 | 61 | 2015 |
| Reliability modelling for multi-component systems subject to stochastic deterioration and generalized cumulative shock damages W Dong, S Liu, SJ Bae, Y Cao Reliability Engineering & System Safety 205, 107260, 2021 | 50 | 2021 |
| Lifetime prediction through accelerated degradation testing of membrane electrode assemblies in direct methanol fuel cells SJ Bae, SJ Kim, JI Park, JH Lee, H Cho, JY Park International Journal of Hydrogen Energy 35 (17), 9166-9176, 2010 | 50 | 2010 |
| Data depth based support vector machines for predicting corporate bankruptcy S Kim, BM Mun, SJ Bae Applied Intelligence 48, 791-804, 2018 | 48 | 2018 |
| Degradation analysis of nano-contamination in plasma display panels SJ Bae, SJ Kim, MS Kim, BJ Lee, CW Kang IEEE Transactions on Reliability 57 (2), 222-229, 2008 | 46 | 2008 |
Paul KvamProfessor of Mathematics and Statistics, University of Richmond在 richmond.edu 的电子邮件经过验证
