| Spiral microchannel with rectangular and trapezoidal cross-sections for size based particle separation G Guan, L Wu, AA Bhagat, Z Li, PCY Chen, S Chao, CJ Ong, J Han Scientific reports 3 (1), 1475, 2013 | 340 | 2013 |
| EEG-based mental fatigue measurement using multi-class support vector machines with confidence estimate KQ Shen, XP Li, CJ Ong, SY Shao, EPV Wilder-Smith Clinical neurophysiology 119 (7), 1524-1533, 2008 | 282 | 2008 |
| Parallel sequential minimal optimization for the training of support vector machines LJ Cao, SS Keerthi, CJ Ong, JQ Zhang, U Periyathamby, XJ Fu, HP Lee Neural Networks, IEEE Transactions on 17 (4), 1039-1049, 2006 | 239 | 2006 |
| Automatic EEG artifact removal: a weighted support vector machine approach with error correction SY Shao, KQ Shen, CJ Ong, EPV Wilder-Smith IEEE Transactions on Biomedical Engineering 56 (2), 336-344, 2008 | 187 | 2008 |
| A feature selection method for multilevel mental fatigue EEG classification KQ Shen, CJ Ong, XP Li, Z Hui, EPV Wilder-Smith Biomedical Engineering, IEEE Transactions on 54 (7), 1231-1237, 2007 | 186 | 2007 |
| Bayesian support vector regression using a unified loss function W Chu, SS Keerthi, CJ Ong IEEE transactions on neural networks 15 (1), 29-44, 2004 | 177 | 2004 |
| Growth distances: New measures for object separation and penetration CJ Ong, EG Gilbert IEEE Transactions on Robotics and Automation 12 (6), 888-903, 1996 | 153 | 1996 |
| Device for laparoscopic or thoracoscopic surgery A San Pang, CJ Ong, CK Chui US Patent 8,409,076, 2013 | 135 | 2013 |
| Estimator design for discrete-time switched neural networks with asynchronous switching and time-varying delay D Zhang, L Yu, QG Wang, CJ Ong IEEE Transactions on Neural Networks and Learning Systems 23 (5), 827-834, 2012 | 134 | 2012 |
| An improved conjugate gradient scheme to the solution of least squares SVM W Chu, CJ Ong, SS Keerthi IEEE Transactions on neural networks 16 (2), 498-501, 2005 | 123 | 2005 |
| Feature Selection for MLP Neural Network: The use of Random Permutation of Probabilistic Outputs JB Yang, KQ Shen, CJ Ong, XP Li | 119* | |
| An efficient method for computing leave-one-out error in support vector machines with Gaussian kernels MMS Lee, SS Keerthi, CJ Ong, D DeCoste IEEE Transactions on Neural Networks 15 (3), 750-757, 2004 | 98 | 2004 |
| Pulse input sequences for residual vibration reduction CL Teo, CJ Ong, M Xu Journal of Sound and Vibration 211 (2), 157-177, 1998 | 96 | 1998 |
| Feature selection via sensitivity analysis of SVM probabilistic outputs KQ Shen, CJ Ong, XP Li, EPV Wilder-Smith Machine Learning 70, 1-20, 2008 | 95 | 2008 |
| Extracting the knowledge embedded in support vector machines X Fu, CJ Ong, S Keerthi, GG Hung, L Goh 2004 IEEE international joint conference on neural networks (IEEE Cat. No …, 2004 | 91 | 2004 |
| Constrained linear systems with hard constraints and disturbances: An extended command governor with large domain of attraction EG Gilbert, CJ Ong Automatica 47 (2), 334-340, 2011 | 89 | 2011 |
| Fast versions of the Gilbert-Johnson-Keerthi distance algorithm: Additional results and comparisons CJ Ong, EG Gilbert IEEE transactions on robotics and automation 17 (4), 531-539, 2001 | 88 | 2001 |
| The minimal disturbance invariant set: Outer approximations via its partial sums CJ Ong, EG Gilbert Automatica 42 (9), 1563-1568, 2006 | 84 | 2006 |
| The Gilbert-Johnson-Keerthi distance algorithm: A fast version for incremental motions CJ Ong, EG Gilbert Proceedings of international conference on robotics and automation 2, 1183-1189, 1997 | 82 | 1997 |
| Distributed Model Predictive Control of Linear Discrete-Time Systems with Local and Global Constraints W Zheming, CJ Ong Automatica 81 (12), 2017 | 74 | 2017 |
Elmer GilbertProfessor of EngineeringVerified email at umich.edu
