| A similarity-based prognostics approach for remaining useful life estimation of engineered systems T Wang, J Yu, D Siegel, J Lee 2008 international conference on prognostics and health management, 1-6, 2008 | 648 | 2008 |
| RetinaNet with difference channel attention and adaptively spatial feature fusion for steel surface defect detection X Cheng, J Yu IEEE Transactions on Instrumentation and Measurement 70, 1-11, 2020 | 406 | 2020 |
| Bearing performance degradation assessment using locality preserving projections and Gaussian mixture models J Yu Mechanical Systems and Signal Processing 25 (7), 2573-2588, 2011 | 284 | 2011 |
| Evolving artificial neural networks using an improved PSO and DPSO J Yu, S Wang, L Xi Neurocomputing 71 (4-6), 1054-1060, 2008 | 273 | 2008 |
| State of health prediction of lithium-ion batteries: Multiscale logic regression and Gaussian process regression ensemble J Yu Reliability Engineering & System Safety 174, 82-95, 2018 | 223 | 2018 |
| One-dimensional residual convolutional autoencoder based feature learning for gearbox fault diagnosis J Yu, X Zhou IEEE Transactions on Industrial Informatics 16 (10), 6347-6358, 2020 | 200 | 2020 |
| Local and Non-local Preserving Projection for Bearing Defect Classification and Performance Assessment J Yu Industrial Electronics, IEEE Transactions on 59 (5), 2363 - 2376, 2012 | 191 | 2012 |
| An effective heuristic for flexible job-shop scheduling problem with maintenance activities S Wang, J Yu Computers & Industrial Engineering 59 (3), 436-447, 2010 | 185 | 2010 |
| Wafer map defect detection and recognition using joint local and nonlocal linear discriminant analysis J Yu, X Lu IEEE Transactions on Semiconductor Manufacturing 29 (1), 33-43, 2015 | 179 | 2015 |
| Local and global principal component analysis for process monitoring J Yu Journal of Process Control 22 (7), 1358-1373, 2012 | 175 | 2012 |
| One-dimensional convolutional auto-encoder-based feature learning for fault diagnosis of multivariate processes S Chen, J Yu, S Wang Journal of Process Control 87, 54-67, 2020 | 170 | 2020 |
| Bi-objective identical parallel machine scheduling to minimize total energy consumption and makespan ML Shijin Wang, Xiaodong Wang, Jianbo Yu, Shuan Ma 193, 424-440, 2018 | 157* | 2018 |
| Health condition monitoring of machines based on hidden Markov model and contribution analysis J Yu IEEE Transactions on Instrumentation and Measurement 61 (8), 2200-2211, 2012 | 152 | 2012 |
| A neural network ensemble-based model for on-line monitoring and diagnosis of out-of-control signals in multivariate manufacturing processes J Yu, L Xi Expert systems with applications 36 (1), 909-921, 2009 | 149 | 2009 |
| An improved particle swarm optimization for evolving feedforward artificial neural networks J Yu, L Xi, S Wang Neural Processing Letters 26, 217-231, 2007 | 138 | 2007 |
| Bearing performance degradation assessment using locality preserving projections JB Yu Expert Systems with Applications 38 (6), 7440-7450, 2011 | 136 | 2011 |
| Fault detection using principal components-based Gaussian mixture model for semiconductor manufacturing processes J Yu IEEE Transactions on Semiconductor Manufacturing 24 (3), 432-444, 2011 | 132 | 2011 |
| An energy-efficient two-stage hybrid flow shop scheduling problem in a glass production S Wang, X Wang, F Chu, J Yu International Journal of Production Research 58 (8), 2283-2314, 2020 | 128 | 2020 |
| Knowledge extraction and insertion to deep belief network for gearbox fault diagnosis J Yu, G Liu Knowledge-Based Systems 197, 105883, 2020 | 112 | 2020 |
| Hidden Markov models combining local and global information for nonlinear and multimodal process monitoring J Yu Journal of process control 20 (3), 344-359, 2010 | 101 | 2010 |
Shijin WangTongji UniversityVerified email at tongji.edu.cn
