| Lithium-ion battery state of health monitoring and remaining useful life prediction based on support vector regression-particle filter H Dong, X Jin, Y Lou, C Wang Journal of power sources 271, 114-123, 2014 | 312 | 2014 |
| Production-driven opportunistic maintenance for batch production based on MAM–APB scheduling T Xia, X Jin, L Xi, J Ni European Journal of Operational Research 240 (3), 781-790, 2015 | 142 | 2015 |
| Decision support systems for effective maintenance operations J Ni, X Jin CIRP annals 61 (1), 411-414, 2012 | 128 | 2012 |
| Option model for joint production and preventive maintenance system X Jin, L Li, J Ni International Journal of Production Economics 119 (2), 347-353, 2009 | 109 | 2009 |
| Manufacturing system design for resilience X Gu, X Jin, J Ni, Y Koren Procedia Cirp 36, 135-140, 2015 | 108 | 2015 |
| Optimal control of reassembly with variable quality returns in a product remanufacturing system X Jin, J Ni, Y Koren CIRP annals 60 (1), 25-28, 2011 | 84 | 2011 |
| The present status and future growth of maintenance in US manufacturing: results from a pilot survey X Jin, D Siegel, BA Weiss, E Gamel, W Wang, J Lee, J Ni Manufacturing review 3, 2016 | 78 | 2016 |
| Preventive maintenance opportunities for large production systems J Ni, X Gu, X Jin CIRP Annals 64 (1), 447-450, 2015 | 74 | 2015 |
| Assembly strategies for remanufacturing systems with variable quality returns X Jin, SJ Hu, J Ni, G Xiao IEEE Transactions on Automation Science and Engineering 10 (1), 76-85, 2012 | 71 | 2012 |
| Present status and future growth of advanced maintenance technology and strategy in US manufacturing X Jin, BA Weiss, D Siegel, J Lee International journal of prognostics and health management 7 (Spec Iss on …, 2016 | 66 | 2016 |
| Operating load based real-time rolling grey forecasting for machine health prognosis in dynamic maintenance schedule T Xia, X Jin, L Xi, Y Zhang, J Ni Journal of Intelligent Manufacturing 26 (2), 269-280, 2015 | 58 | 2015 |
| Prediction of passive maintenance opportunity windows on bottleneck machines in complex manufacturing systems X Gu, X Jin, J Ni Journal of manufacturing science and engineering 137 (3), 031017, 2015 | 55 | 2015 |
| Data science skills and domain knowledge requirements in the manufacturing industry: A gap analysis G Li, C Yuan, S Kamarthi, M Moghaddam, X Jin Journal of Manufacturing Systems 60, 692-706, 2021 | 51 | 2021 |
| Deep variational autoencoder classifier for intelligent fault diagnosis adaptive to unseen fault categories A He, X Jin IEEE Transactions on Reliability 70 (4), 1581-1595, 2021 | 48 | 2021 |
| A failure-dependency modeling and state discretization approach for condition-based maintenance optimization of multi-component systems M Xu, X Jin, S Kamarthi, M Noor-E-Alam Journal of manufacturing systems 47, 141-152, 2018 | 43 | 2018 |
| Performance evaluation for manufacturing systems under control-limit maintenance policy X Gu, W Guo, X Jin Journal of Manufacturing Systems 55, 221-232, 2020 | 37 | 2020 |
| Forecasting product returns for remanufacturing systems X Liang, X Jin, J Ni Journal of Remanufacturing 4 (1), 8, 2014 | 36 | 2014 |
| Manufacturing productivity and energy efficiency: a stochastic efficiency frontier analysis H Shui, X Jin, J Ni International Journal of Energy Research 39 (12), 1649-1663, 2015 | 35 | 2015 |
| A cross-disciplinary comparison of multimodal data fusion approaches and applications: Accelerating learning through trans-disciplinary information sharing R Bokade, A Navato, R Ouyang, X Jin, CA Chou, S Ostadabbas, ... Expert Systems with Applications 165, 113885, 2021 | 31 | 2021 |
| Automotive manufacturing technologies–an international viewpoint S Peters, G Lanza, N Jun, J Xiaoning, Y Pei Yun, M Colledani Manufacturing Review 1 (10), 1-12, 2014 | 31 | 2014 |
Jun NiShien-Ming Wu Collegiate Professor of Manufacturing Science and Professor of Mechanical EngineeringVerified email at umich.edu
