| A neural networks based model for rate-dependent hysteresis for piezoceramic actuators R Dong, Y Tan, H Chen, Y Xie Sensors and Actuators A: Physical 143 (2), 370-376, 2008 | 175 | 2008 |
| A two-stage genetic algorithm for automatic clustering H He, Y Tan Neurocomputing 81, 49-59, 2012 | 157 | 2012 |
| Neural-network-based d-step-ahead predictors for nonlinear systems with time delay Y Tan, A Van Cauwenberghe Engineering applications of artificial intelligence 12 (1), 21-35, 1999 | 142 | 1999 |
| A neural networks model for hysteresis nonlinearity L Chuntao, T Yonghong Sensors and Actuators A: Physical 112 (1), 49-54, 2004 | 124 | 2004 |
| Neural network based identification of Preisach-type hysteresis in piezoelectric actuator using hysteretic operator X Zhao, Y Tan Sensors and Actuators A: Physical 126 (2), 306-311, 2006 | 117 | 2006 |
| Automatic pattern recognition of ECG signals using entropy-based adaptive dimensionality reduction and clustering H He, Y Tan Applied Soft Computing 55, 238-252, 2017 | 107 | 2017 |
| Nonlinear modeling and decoupling control of XY micropositioning stages with piezoelectric actuators Y Xie, Y Tan, R Dong IEEE/ASME Transactions On Mechatronics 18 (3), 821-832, 2012 | 105 | 2012 |
| Modeling hysteresis and its inverse model using neural networks based on expanded input space method X Zhao, Y Tan IEEE Transactions on Control Systems Technology 16 (3), 484-490, 2008 | 105 | 2008 |
| Nonlinear one-step-ahead control using neural networks: control strategy and stability design Y Tan, A Van Cauwenberghe Automatica 32 (12), 1701-1706, 1996 | 94 | 1996 |
| Neural-networks-based nonlinear dynamic modeling for automotive engines Y Tan, M Saif Neurocomputing 30 (1-4), 129-142, 2000 | 92 | 2000 |
| Modeling of hysteresis in piezoelectric actuators using neural networks X Zhang, Y Tan, M Su Mechanical Systems and Signal Processing 23 (8), 2699-2711, 2009 | 86 | 2009 |
| 基于 BP 神经网络的自适应控制 谭永红 控制理论与应用 11 (1), 84-88, 1994 | 84 | 1994 |
| Impulse noise removal by a global–local noise detector and adaptive median filter SQ Yuan, YH Tan Signal Processing 86 (8), 2123-2128, 2006 | 80 | 2006 |
| Modeling hysteresis in piezoelectric actuators using NARMAX models L Deng, Y Tan Sensors and Actuators A: Physical 149 (1), 106-112, 2009 | 77 | 2009 |
| Strengthen EEG-based emotion recognition using firefly integrated optimization algorithm H He, Y Tan, J Ying, W Zhang Applied Soft Computing 94, 106426, 2020 | 74 | 2020 |
| Neural networks based identification and compensation of rate-dependent hysteresis in piezoelectric actuators X Zhang, Y Tan, M Su, Y Xie Physica B: Condensed Matter 405 (12), 2687-2693, 2010 | 69 | 2010 |
| Optimal base wavelet selection for ECG noise reduction using a comprehensive entropy criterion H He, Y Tan, Y Wang Entropy 17 (9), 6093-6109, 2015 | 66 | 2015 |
| A hybrid model for rate-dependent hysteresis in piezoelectric actuators X Zhang, Y Tan Sensors and Actuators A: Physical 157 (1), 54-60, 2010 | 65 | 2010 |
| Recursive identification of sandwich systems with dead zone and application Y Tan, R Dong, R Li IEEE Transactions on Control Systems Technology 17 (4), 945-951, 2009 | 65 | 2009 |
| Modeling hysteresis using hybrid method of continuous transformation and neural networks Z Tong, Y Tan, X Zeng Sensors and Actuators A: Physical 119 (1), 254-262, 2005 | 63 | 2005 |
Qingyuan TanPh.D. , University of WindsorVerified email at uwindsor.ca