[1]. Huang Jian, Yang Xu, and Peng Kaixiang, Double-layer distributed monitoring based on sequential correlation information for large-scale industrial processes in dynamic and static states, IEEE Transactions on Industrial Informatics, 2021, 17(9): 6419-6428.

[2]. Huang Jian, Sun Xiaoyang, Yang Xu, and Peng Kaixiang, Fault detection for chemical processes based on non-stationarity sensitive cointegration analysis, ISA Transactions, 2022, doi: 10.1016/j.isatra.2022.02.010.

[3] Huang Jian, Xiao Jieshi, and Yang Xu, Distributed SFA-CA monitoring approach for nonstationary plant-wide process and its application on a vinyl acetate monomer process, Process Safety and Environmental Protection,2022, 162:1091-1101.

[4]. Huang Jian, Yang Xu, and Yan Xuefeng, Slow feature analysis-independent component analysis based integrated monitoring approach for industrial processes incorporating dynamic and static characteristics, Control Engineering Practice, 2020, 102: 104558.

[5]. Huang Jian, Yang Xu, Shardt Yuri A.W., and Yan Xuefeng, Sparse modeling and monitoring for industrial processes using sparse, distributed principal component analysis, Journal of the Taiwan Institute of Chemical Engineers, 2021, 122: 14-22.

[6]. Huang Jian, Ersoy Okan K., and Yan Xuefeng, Fault detection in dynamic plant-wide process by multi-block slow feature analysis and support vector data description, ISA Transactions, 2019, 85:119-128.

[7]. Huang Jian, Ersoy Okan K., and Yan Xuefeng, Slow feature analysis based on online feature reordering and feature selection for dynamic chemical process monitoring, Chemometrics and Intelligent Laboratory Systems, 2017, 169:1-11.

[8]. Huang Jian, and Yan Xuefeng, Angle-based multiblock independent component analysis method with a new block dissimilarity statistic for non-gaussian process monitoring, Industrial & Engineering Chemistry Research, 2016, 55(17): 4997-5005.

[9]. Huang Jian, and Yan Xuefeng, Related and independent variable fault detection based on KPCA and SVDD, Journal of Process Control, 2016, 39:88-99.

[10]. Huang Jian, and Yan Xuefeng, Gaussian and non-gaussian double subspace statistical process monitoring based on principal component analysis and independent component analysis, Industrial & Engineering Chemistry Research, 2015, 54(3):1015-1027.