| A cyber-physical systems architecture for industry 4.0-based manufacturing systems J Lee, B Bagheri, HA Kao Manufacturing letters 3, 18-23, 2015 | 5697 | 2015 |
| Service innovation and smart analytics for industry 4.0 and big data environment J Lee, HA Kao, S Yang Procedia cirp 16, 3-8, 2014 | 2574 | 2014 |
| Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications J Lee, F Wu, W Zhao, M Ghaffari, L Liao, D Siegel Mechanical systems and signal processing 42 (1-2), 314-334, 2014 | 1664 | 2014 |
| Wavelet filter-based weak signature detection method and its application on rolling element bearing prognostics H Qiu, J Lee, J Lin, G Yu Journal of sound and vibration 289 (4-5), 1066-1090, 2006 | 1518 | 2006 |
| Recent advances and trends in predictive manufacturing systems in big data environment J Lee, E Lapira, B Bagheri, H Kao Manufacturing letters 1 (1), 38-41, 2013 | 1461 | 2013 |
| Intelligent prognostics tools and e-maintenance J Lee, J Ni, D Djurdjanovic, H Qiu, H Liao Computers in industry 57 (6), 476-489, 2006 | 849 | 2006 |
| A review on prognostics and health monitoring of Li-ion battery J Zhang, J Lee Journal of power sources 196 (15), 6007-6014, 2011 | 827 | 2011 |
| Industrial Artificial Intelligence for industry 4.0-based manufacturing systems J Lee, H Davari, J Singh, V Pandhare Manufacturing letters 18, 20-23, 2018 | 765 | 2018 |
| Review and recent advances in battery health monitoring and prognostics technologies for electric vehicle (EV) safety and mobility SM Rezvanizaniani, Z Liu, Y Chen, J Lee Journal of power sources 256, 110-124, 2014 | 713 | 2014 |
| Residual life predictions for ball bearings based on self-organizing map and back propagation neural network methods R Huang, L Xi, X Li, CR Liu, H Qiu, J Lee Mechanical systems and signal processing 21 (1), 193-207, 2007 | 672 | 2007 |
| 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 | 625 | 2008 |
| Handbook of maintenance management and engineering M Ben-Daya, SO Duffuaa, A Raouf, J Knezevic, D Ait-Kadi Springer London, 2009 | 567 | 2009 |
| Industrial big data analytics and cyber-physical systems for future maintenance & service innovation J Lee, HD Ardakani, S Yang, B Bagheri Procedia cirp 38, 3-7, 2015 | 564 | 2015 |
| Robust performance degradation assessment methods for enhanced rolling element bearing prognostics H Qiu, J Lee, J Lin, G Yu Advanced Engineering Informatics 17 (3-4), 127-140, 2003 | 525 | 2003 |
| Maintenance: changing role in life cycle management S Takata, F Kirnura, FJAM van Houten, E Westkamper, M Shpitalni, ... CIRP annals 53 (2), 643-655, 2004 | 515 | 2004 |
| Smart agents in industrial cyber–physical systems P Leitao, S Karnouskos, L Ribeiro, J Lee, T Strasser, AW Colombo Proceedings of the IEEE 104 (5), 1086-1101, 2016 | 509 | 2016 |
| Cyber-physical systems architecture for self-aware machines in industry 4.0 environment B Bagheri, S Yang, HA Kao, J Lee IFAC-PapersOnLine 48 (3), 1622-1627, 2015 | 486 | 2015 |
| Watchdog Agent—an infotronics-based prognostics approach for product performance degradation assessment and prediction D Djurdjanovic, J Lee, J Ni Advanced Engineering Informatics 17 (3-4), 109-125, 2003 | 448 | 2003 |
| Reliability-centered predictive maintenance scheduling for a continuously monitored system subject to degradation X Zhou, L Xi, J Lee Reliability engineering & system safety 92 (4), 530-534, 2007 | 415 | 2007 |
| Industrial artificial intelligence in industry 4.0-systematic review, challenges and outlook RS Peres, X Jia, J Lee, K Sun, AW Colombo, J Barata IEEE access 8, 220121-220139, 2020 | 350 | 2020 |
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