| Reliability engineering KC Kapur, MG Pecht John Wiley & Sons, 2014 | 1755 | 2014 |
| Long short-term memory recurrent neural network for remaining useful life prediction of lithium-ion batteries Y Zhang, R Xiong, H He, MG Pecht IEEE Transactions on Vehicular Technology 67 (7), 5695-5705, 2018 | 1157 | 2018 |
| Deep residual shrinkage networks for fault diagnosis M Zhao, S Zhong, X Fu, B Tang, M Pecht IEEE Transactions on Industrial Informatics 16 (7), 4681-4690, 2019 | 1130 | 2019 |
| Prognostics and health management of electronics M Pecht Encyclopedia of structural health monitoring, 2009 | 1083 | 2009 |
| Prognostics of lithium-ion batteries based on Dempster–Shafer theory and the Bayesian Monte Carlo method W He, N Williard, M Osterman, M Pecht Journal of Power Sources 196 (23), 10314-10321, 2011 | 1023 | 2011 |
| Light emitting diodes reliability review MH Chang, D Das, PV Varde, M Pecht Microelectronics Reliability 52 (5), 762-782, 2012 | 965 | 2012 |
| Battery lifetime prognostics X Hu, L Xu, X Lin, M Pecht Joule 4 (2), 310-346, 2020 | 960 | 2020 |
| State of charge estimation of lithium-ion batteries using the open-circuit voltage at various ambient temperatures Y Xing, W He, M Pecht, KL Tsui Applied energy 113, 106-115, 2014 | 947 | 2014 |
| Prognostics and health management of electronics NM Vichare, MG Pecht IEEE transactions on components and packaging technologies 29 (1), 222-229, 2006 | 702 | 2006 |
| Remaining useful life estimation based on a nonlinear diffusion degradation process XS Si, W Wang, CH Hu, DH Zhou, MG Pecht IEEE Transactions on reliability 61 (1), 50-67, 2012 | 695 | 2012 |
| Effect of temperature on the aging rate of Li ion battery operating above room temperature F Leng, CM Tan, M Pecht Scientific reports 5 (1), 12967, 2015 | 641 | 2015 |
| Battery management systems in electric and hybrid vehicles Y Xing, EWM Ma, KL Tsui, M Pecht Energies 4 (11), 1840-1857, 2011 | 625 | 2011 |
| An ensemble model for predicting the remaining useful performance of lithium-ion batteries Y Xing, EWM Ma, KL Tsui, M Pecht Microelectronics reliability 53 (6), 811-820, 2013 | 601 | 2013 |
| State of charge estimation for Li-ion batteries using neural network modeling and unscented Kalman filter-based error cancellation W He, N Williard, C Chen, M Pecht International Journal of Electrical Power & Energy Systems 62, 783-791, 2014 | 548 | 2014 |
| Remaining useful life prediction of lithium-ion battery with unscented particle filter technique Q Miao, L Xie, H Cui, W Liang, M Pecht Microelectronics Reliability 53 (6), 805-810, 2013 | 537 | 2013 |
| A prognostics and health management roadmap for information and electronics-rich systems MG Pecht IEICE ESS Fundamentals Review 3 (4), 4_25-4_32, 2010 | 529 | 2010 |
| Motor Bearing Fault Detection Using Spectral Kurtosis-Based Feature Extraction Coupled With K-Nearest Neighbor Distance Analysis J Tian, C Morillo, MH Azarian, M Pecht IEEE Transactions on Industrial Electronics 63 (3), 1793-1803, 2015 | 520 | 2015 |
| Influence of different open circuit voltage tests on state of charge online estimation for lithium-ion batteries F Zheng, Y Xing, J Jiang, B Sun, J Kim, M Pecht Applied energy 183, 513-525, 2016 | 515 | 2016 |
| A review of lead-free solders for electronics applications S Cheng, CM Huang, M Pecht Microelectronics Reliability 75, 77-95, 2017 | 500 | 2017 |
| Prognostics for state of health estimation of lithium-ion batteries based on combination Gaussian process functional regression D Liu, J Pang, J Zhou, Y Peng, M Pecht Microelectronics Reliability 53 (6), 832-839, 2013 | 494 | 2013 |
