| Integrated soft sensor using just-in-time support vector regression and probabilistic analysis for quality prediction of multi-grade processes Y Liu, J Chen Journal of Process Control 23 (6), 793-804, 2013 | 115 | 2013 |
| Ensemble deep kernel learning with application to quality prediction in industrial polymerization processes Y Liu, C Yang, Z Gao, Y Yao Chemometrics and Intelligent Laboratory Systems 174, 15-21, 2018 | 104 | 2018 |
| Just-in-time kernel learning with adaptive parameter selection for soft sensor modeling of batch processes Y Liu, Z Gao, P Li, H Wang Industrial & Engineering Chemistry Research 51 (11), 4313-4327, 2012 | 92 | 2012 |
| Selective recursive kernel learning for online identification of nonlinear systems with NARX form Y Liu, H Wang, J Yu, P Li Journal of Process Control 20 (2), 181-194, 2010 | 77 | 2010 |
| Flame Images for Oxygen Content Prediction of Combustion Systems Using DBN Y Liu, Y Fan, J Chen Energy & Fuels 31 (8), 8776-8783, 2017 | 73 | 2017 |
| Soft chemical analyzer development using adaptive least-squares support vector regression with selective pruning and variable moving window size Y Liu, N Hu, H Wang, P Li Industrial & Engineering Chemistry Research 48 (12), 5731-5741, 2009 | 65 | 2009 |
| Multiview generative adversarial network and its application in pearl classification Q Xuan, Z Chen, Y Liu, H Huang, G Bao, D Zhang IEEE Transactions on Industrial Electronics 66 (10), 8244-8252, 2019 | 59 | 2019 |
| Automatic Pearl Classification Machine Based on Multistream Convolutional Neural Network Q Xuan, B Fang, Y Liu, J Wang, J Zhang, Y Zheng, G Bao IEEE Transactions on Industrial Electronics, 2018 | 58 | 2018 |
| Auto-Switch Gaussian Process Regression-Based Probabilistic Soft Sensors for Industrial Multigrade Processes with Transitions Y Liu, T Chen, J Chen Industrial & Engineering Chemistry Research 54 (18), 5037-5047, 2015 | 58 | 2015 |
| Just-in-time semi-supervised soft sensor for quality prediction in industrial rubber mixers W Zheng, Y Liu, Z Gao, J Yang Chemometrics and Intelligent Laboratory Systems 180, 36-41, 2018 | 54 | 2018 |
| Pensim 仿真平台在青霉素发酵过程的应用研究 刘毅， 王海清 系统仿真学报 18 (12), 3524-3527, 2006 | 50* | 2006 |
| Adaptive local kernel-based learning for soft sensor modeling of nonlinear processes K Chen, J Ji, H Wang, Y Liu, Z Song Chemical Engineering Research and Design 89 (10), 2117-2124, 2011 | 45 | 2011 |
| Real‐time property prediction for an industrial rubber‐mixing process with probabilistic ensemble Gaussian process regression models Y Liu, Z Gao Journal of Applied Polymer Science 132 (6), 2015 | 39 | 2015 |
| Correntropy Kernel Learning for Nonlinear System Identification with Outliers Y Liu, J Chen Industrial & Engineering Chemistry Research 53 (13), 5248-5260, 2014 | 32 | 2014 |
| Nonlinear System Identification with Selective Recursive Gaussian Process Models LLT Chan, Y Liu, J Chen Industrial & Engineering Chemistry Research 52 (51), 18276-18286, 2013 | 28 | 2013 |
| 局部最小二乘支持向量机回归在线建模方法及其在间歇过程的应用 刘毅， 王海清， 李平 化工学报 58 (11), 2007 | 28* | 2007 |
| 采用最小二乘支持向量机的青霉素发酵过程建模研究 刘毅， 王海清 生物工程学报 22 (1), 144-149, 2006 | 27* | 2006 |
| Active Selection of Informative Data for Sequential Quality Enhancement of Soft Sensor Models with Latent Variables Y Liu, QY Wu, J Chen Industrial & Engineering Chemistry Research 56 (16), 4804-4817, 2017 | 24 | 2017 |
| Development of soft-sensors for online quality prediction of sequential-reactor-multi-grade industrial processes Y Liu, Z Gao, J Chen Chemical Engineering Science 102, 602-612, 2013 | 24 | 2013 |
| Domain adaptation transfer learning soft sensor for product quality prediction Y Liu, C Yang, K Liu, B Chen, Y Yao Chemometrics and Intelligent Laboratory Systems 192, 103813, 2019 | 23 | 2019 |
Junghui ChenProfessor of Chemical Engineering, Chung-Yuan Christian UniversityVerified email at wavenet.cycu.edu.tw
