| An overview of 3D printing technologies for food fabrication J Sun, W Zhou, D Huang, JYH Fuh, GS Hong Food and bioprocess technology 8, 1605-1615, 2015 | 533 | 2015 |
| Wavelet analysis of sensor signals for tool condition monitoring: A review and some new results K Zhu, Y San Wong, GS Hong International Journal of Machine Tools and Manufacture 49 (7-8), 537-553, 2009 | 504 | 2009 |
| A review on 3D printing for customized food fabrication J Sun, Z Peng, W Zhou, JYH Fuh, GS Hong, A Chiu Procedia Manufacturing 1, 308-319, 2015 | 449 | 2015 |
| Extraction and evaluation of melt pool, plume and spatter information for powder-bed fusion AM process monitoring Y Zhang, GS Hong, D Ye, K Zhu, JYH Fuh Materials & Design 156, 458-469, 2018 | 282 | 2018 |
| A cost-sensitive deep belief network for imbalanced classification C Zhang, KC Tan, H Li, GS Hong IEEE transactions on neural networks and learning systems 30 (1), 109-122, 2018 | 280 | 2018 |
| Defect detection in selective laser melting technology by acoustic signals with deep belief networks D Ye, GS Hong, Y Zhang, K Zhu, JYH Fuh The International Journal of Advanced Manufacturing Technology 96, 2791-2801, 2018 | 248 | 2018 |
| Multi-category micro-milling tool wear monitoring with continuous hidden Markov models K Zhu, Y San Wong, GS Hong Mechanical Systems and Signal Processing 23 (2), 547-560, 2009 | 217 | 2009 |
| 3D food printing—An innovative way of mass customization in food fabrication J Sun, Z Peng, L Yan, JYH Fuh, GS Hong International Journal of Bioprinting 1 (1), 27-38, 2015 | 206 | 2015 |
| Nozzle condition monitoring in 3D printing Y Tlegenov, GS Hong, WF Lu Robotics and Computer-Integrated Manufacturing 54, 45-55, 2018 | 163 | 2018 |
| Multiclassification of tool wear with support vector machine by manufacturing loss consideration J Sun, M Rahman, YS Wong, GS Hong International Journal of Machine Tools and Manufacture 44 (11), 1179-1187, 2004 | 151 | 2004 |
| In situ monitoring of selective laser melting using plume and spatter signatures by deep belief networks D Ye, JYH Fuh, Y Zhang, GS Hong, K Zhu ISA transactions 81, 96-104, 2018 | 150 | 2018 |
| Machine selection rules in a dynamic job shop V Subramaniam, GK Lee, T Ramesh, GS Hong, YS Wong The International Journal of Advanced Manufacturing Technology 16, 902-908, 2000 | 131 | 2000 |
| Profile error compensation in fast tool servo diamond turning of micro-structured surfaces GS Hong, Y San Wong International Journal of Machine Tools and Manufacture 52 (1), 13-23, 2012 | 130 | 2012 |
| Series damper actuator: a novel force/torque control actuator CM Chew, GS Hong, W Zhou 4th IEEE/RAS International Conference on Humanoid Robots, 2004. 2, 533-546, 2004 | 119 | 2004 |
| Flank wear measurement by a threshold independent method with sub-pixel accuracy WH Wang, GS Hong, YS Wong International Journal of Machine Tools and Manufacture 46 (2), 199-207, 2006 | 105 | 2006 |
| Bayesian-inference-based neural networks for tool wear estimation J Dong, KVR Subrahmanyam, YS Wong, GS Hong, AR Mohanty The International Journal of Advanced Manufacturing Technology 30, 797-807, 2006 | 104 | 2006 |
| In-situ monitoring of laser-based PBF via off-axis vision and image processing approaches Y Zhang, JYH Fuh, D Ye, GS Hong Additive Manufacturing 25, 263-274, 2019 | 101 | 2019 |
| Sensor fusion for online tool condition monitoring in milling WH Wang, GS Hong, YS Wong, KP Zhu International Journal of Production Research 45 (21), 5095-5116, 2007 | 98 | 2007 |
| Flank wear measurement by successive image analysis W Wang, YS Wong, GS Hong Computers in Industry 56 (8-9), 816-830, 2005 | 98 | 2005 |
| Powder-bed fusion process monitoring by machine vision with hybrid convolutional neural networks Y Zhang, HG Soon, D Ye, JYH Fuh, K Zhu IEEE Transactions on Industrial Informatics 16 (9), 5769-5779, 2019 | 97 | 2019 |
Jerry Y H FuhNational university of Singapore在 nus.edu.sg 的电子邮件经过验证
