| Enhancing sustainability and energy efficiency in smart factories: A review Y Meng, Y Yang, H Chung, PH Lee, C Shao Sustainability 10 (12), 4779, 2018 | 146 | 2018 |
| Feature selection for manufacturing process monitoring using cross-validation C Shao, K Paynabar, TH Kim, JJ Jin, SJ Hu, JP Spicer, H Wang, JA Abell Journal of Manufacturing Systems 32 (4), 550-555, 2013 | 130 | 2013 |
| Feature selection for manufacturing process monitoring using cross-validation C Shao, K Paynabar, TH Kim, JJ Jin, SJ Hu, JP Spicer, H Wang, JA Abell Proceedings of NAMRI/SME 41, 2013 | 130 | 2013 |
| Characterization of ultrasonic metal welding by correlating online sensor signals with weld attributes SS Lee, C Shao, TH Kim, SJ Hu, E Kannatey-Asibu, WW Cai, JP Spicer, ... Journal of Manufacturing Science and Engineering 136 (5), 051019, 2014 | 83 | 2014 |
| Characterization of ultrasonic metal welding by correlating online sensor signals with weld attributes SS Lee, C Shao, TH Kim, SJ Hu, E Kannatey-Asibu, WW Cai, JP Spicer, ... Journal of Manufacturing Science and Engineering 136 (5), 051019, 2014 | 83 | 2014 |
| Iterative multi-task learning for time-series modeling of solar panel PV outputs T Shireen, C Shao, H Wang, J Li, X Zhang, M Li Applied energy 212, 654-662, 2018 | 82 | 2018 |
| Tool wear monitoring for ultrasonic metal welding of lithium-ion batteries C Shao, TH Kim, SJ Hu, JJ Jin, JA Abell, JP Spicer Ultrasonic Welding of Lithium-Ion Batteries, 145-162, 2017 | 81* | 2017 |
| Fouling modeling and prediction approach for heat exchangers using deep learning S Sundar, MC Rajagopal, H Zhao, G Kuntumalla, Y Meng, HC Chang, ... International Journal of Heat and Mass Transfer 159, 120112, 2020 | 78 | 2020 |
| Online process monitoring with near-zero misdetection for ultrasonic welding of lithium-ion batteries: An integration of univariate and multivariate methods W Guo, C Shao, TH Kim, SJ Hu, JJ Jin, JP Spicer, H Wang Journal of Manufacturing Systems 38, 141-150, 2016 | 67 | 2016 |
| Robust deep learning-based diagnosis of mixed faults in rotating machinery S Chen, Y Meng, H Tang, Y Tian, N He, C Shao IEEE/ASME Transactions on Mechatronics 25 (5), 2167-2176, 2020 | 66 | 2020 |
| Progressive measurement and monitoring for multi-resolution data in surface manufacturing considering spatial and cross correlations S Suriano, H Wang, C Shao, SJ Hu, P Sekhar Iie Transactions 47 (10), 1033-1052, 2015 | 61 | 2015 |
| Extreme antiscaling performance of slippery omniphobic covalently attached liquids H Zhao, CA Deshpande, L Li, X Yan, MJ Hoque, G Kuntumalla, ... ACS applied materials & interfaces 12 (10), 12054-12067, 2020 | 60 | 2020 |
| Federated learning-based semantic segmentation for pixel-wise defect detection in additive manufacturing M Mehta, C Shao Journal of Manufacturing Systems 64, 197-210, 2022 | 52 | 2022 |
| Improving machined surface shape prediction by integrating multi-task learning with cutting force variation modeling C Shao, J Ren, H Wang, J Jin, SJ Hu Journal of Manufacturing Science and Engineering 139 (1), 011014, 2017 | 52 | 2017 |
| Online tool condition monitoring for ultrasonic metal welding via sensor fusion and machine learning Q Nazir, C Shao Journal of Manufacturing Processes 62, 806-816, 2021 | 49 | 2021 |
| Cytogenetic landscape and impact in blast phase of chronic myeloid leukemia in the era of tyrosine kinase inhibitor therapy Z Chen, C Shao, W Wang, Z Zuo, X Mou, SJ Hu, JA DiGiuseppe, Y Zu, ... Leukemia, 2016 | 48 | 2016 |
| Improving process robustness in ultrasonic metal welding of lithium-ion batteries L Nong, C Shao, TH Kim, SJ Hu Journal of Manufacturing Systems 48, 45-54, 2018 | 43 | 2018 |
| Composite structured surfaces for durable dropwise condensation HC Chang, MC Rajagopal, MJ Hoque, J Oh, L Li, J Li, H Zhao, ... International Journal of Heat and Mass Transfer 156, 119890, 2020 | 34 | 2020 |
| Tool wear monitoring in ultrasonic welding using high-order decomposition Y Zerehsaz, C Shao, J Jin Journal of Intelligent Manufacturing 30, 657-669, 2019 | 33 | 2019 |
| Analysis of Friction Stir Riveting Processes: A Review HA Khan, J Li, C Shao ASME 2017 12th International Manufacturing Science and Engineering …, 2017 | 32* | 2017 |
S. Jack Hu, Ph.D.Provost and UGA Foundation Distinguished Professor, University of Georgia在 uga.edu 的电子邮件经过验证
