Tao Chen

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Guoping LianUnileverVerified email at unilever.com
Yuan YaoProfessor, Department of Chemical Engineering, National Tsing Hua UniversityVerified email at mx.nthu.edu.tw
Julian MorrisNewcastle UniversityVerified email at ncl.ac.uk
Xiaoyong GAOProfessor, China University of Petroleum-BeijingVerified email at cup.edu.cn
Yan WenjinScientist, A*STARVerified email at SIMTech.a-star.edu.sg
Andrew NisbetDepartment of Medical Physics & Biomedical Engineering, University College LondonVerified email at ucl.ac.uk
Raymond LauNanyang Technological University, SingaporeVerified email at ntu.edu.sg
Daoliang LiChina Agricultural UniversityVerified email at cau.edu.cn
Dr Lian Xiang LiuUniversity of SurreyVerified email at surrey.ac.uk
Catharine H ClarkUniversity College London Hospitals and National Physical LaboratoryVerified email at nhs.net
Jie ZhangNewcastle UniversityVerified email at newcastle.ac.uk
Sai GuProfessor, Deputy Pro Vice Chancellor, University of WarwickVerified email at warwick.ac.uk
Junghui ChenProfessor of Chemical Engineering, Chung-Yuan Christian UniversityVerified email at wavenet.cycu.edu.tw
Dr. Yi LiuProfessor at Zhejiang University of TechnologyVerified email at zjut.edu.cn
Raj JenaUniversity of CambridgeVerified email at cam.ac.uk
Bo WangSchool of Computing and Mathematical Sciences, University of Leicester, UKVerified email at le.ac.uk
Zhongwei ChenUniversity of SurreyVerified email at surrey.ac.uk
Furong GaoHong Kong University of Science and TechnologyVerified email at ust.hk
shoey chinanyang technological universityVerified email at e.ntu.edu.sg
vinay kariwalaSankhyaSutra LabsVerified email at sankhyasutralabs.com

Tao Chen

Professor, University of Surrey

Verified email at surrey.ac.uk - Homepage

Multiscale modelling Machine learning Systems engineering Heath & agri-food applications


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Particle filters for state and parameter estimation in batch processes T Chen, J Morris, E Martin Journal of Process Control 15 (6), 665-673, 2005	219	2005
Gaussian process regression for multivariate spectroscopic calibration T Chen, J Morris, E Martin Chemometrics and Intelligent Laboratory Systems 87 (1), 59-71, 2007	217	2007
Bagging for Gaussian process regression T Chen, J Ren Neurocomputing 72 (7-9), 1605-1610, 2009	177	2009
Robust probabilistic PCA with missing data and contribution analysis for outlier detection T Chen, E Martin, G Montague Computational Statistics & Data Analysis 53 (10), 3706-3716, 2009	146	2009
Automatic accent identification using Gaussian mixture models T Chen, C Huang, E Chang, J Wang IEEE workshop on ASRU, 2001	146	2001
Accent issues in large vocabulary continuous speech recognition C Huang, T Chen, E Chang International Journal of Speech Technology 7 (2), 141-153, 2004	127	2004
Analysis of speaker variability C Huang, T Chen, S Li, E Chang, J Zhou Seventh European Conference on Speech Communication and Technology, 2001	126	2001
Surface-functionalized TUD-1 mesoporous molecular sieve supported palladium for solvent-free aerobic oxidation of benzyl alcohol Y Chen, Z Guo, T Chen, Y Yang Journal of Catalysis 275 (1), 11-24, 2010	123	2010
Optimal dosing of cancer chemotherapy using model predictive control and moving horizon state/parameter estimation T Chen, NF Kirkby, R Jena Computer Methods and Programs in Biomedicine, 2012	117	2012
On-line multivariate statistical monitoring of batch processes using Gaussian mixture model T Chen, J Zhang Computers & Chemical Engineering 34 (4), 500-507, 2010	112	2010
Bayesian linear regression and variable selection for spectroscopic calibration T Chen, E Martin Analytica Chimica Acta 631 (1), 13-21, 2009	112	2009
Probability density estimation via an infinite Gaussian mixture model: application to statistical process monitoring T Chen, J Morris, E Martin Journal of the Royal Statistical Society: Series C (Applied Statistics) 55 …, 2006	108	2006
Gaussian process regression with multiple response variables B Wang, T Chen Chemometrics and Intelligent Laboratory Systems 142, 159-165, 2015	106	2015
Probabilistic contribution analysis for statistical process monitoring: A missing variable approach T Chen, Y Sun Control Engineering Practice 17 (4), 469-477, 2009	92	2009
Automatic counting methods in aquaculture: A review D Li, Z Miao, F Peng, L Wang, Y Hao, Z Wang, T Chen, H Li, Y Zheng Journal of the World Aquaculture Society 52 (2), 269-283, 2021	88	2021
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	87	2015
Quality prediction for polypropylene production process based on CLGPR model Z Ge, T Chen, Z Song Control Engineering Practice, 2011	86	2011
Response surface methodology with prediction uncertainty: A multi-objective optimisation approach G Chi, S Hu, Y Yang, T Chen Chemical Engineering Research and Design, 2011	83	2011
Process fault diagnosis with model-and knowledge-based approaches: Advances and opportunities W Li, H Li, S Gu, T Chen Control Engineering Practice 105, 104637, 2020	81	2020
Transfer learning for process fault diagnosis: Knowledge transfer from simulation to physical processes W Li, S Gu, X Zhang, T Chen Computers & Chemical Engineering 139, 106904, 2020	81	2020

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