[1] Chuanfang Zhang*, Kaixiang Peng, Jie Dong, Xueyi Zhang, Kaixuan Yang. Exergy-related process monitoring for hot strip mill process based on improved support tensor data description, Energy, 2023, 284: 129372.

[2] Chuanfang Zhang, Kaixiang Peng*, Jie Dong, Long Miao. KPI-related operating performance assessment based on distributed ImRMR-KOCTA for hot strip mill process, Expert Systems with Applications, 2022, 209: 118273.

[3] Chuanfang Zhang, Kaixiang Peng*, Jie Dong. An extensible quality-related fault isolation framework based on dual broad partial least squares with application to the hot rolling process, Expert Systems with Applications, 2021, 167: 114166.

[4] Chuanfang Zhang, Kaixiang Peng*, Jie Dong, Long Miao. A comprehensive operating performance assessment framework based on distributed Siamese gated recurrent unit for hot strip mill process, Applied Soft Computing, 2023, 132: 109889.

[5] Chuanfang Zhang, Kaixiang Peng*, Jie Dong, Xueyi Zhang, Kaixuan Yang. A robust fault classification method for streaming industrial data based on Wasserstein generative adversarial network and semi-supervised ladder network, IEEE Transactions on Instrumentation and Measurement, 2023, 72: 3511409.

[6] Chuanfang Zhang, Hongjun Zhang, Kaixiang Peng*, Jie Dong, Hanwen Zhang, Xueyi Zhang. A spatiotemporal synergetic operating performance assessment based on reconstructed correlation matrix and dissimilarity analytics for plant-wide hot strip mill process, Process Safety and Environmental Protection, 2024, 187: 195-205.

[7] Chuanfang Zhang, Kaixiang Peng*, Jie Dong. A nonlinear full condition process monitoring method for hot rolling process with dynamic characteristic, ISA Transactions, 2021,112: 363-372.

[8] Chuanfang Zhang, Kaixiang Peng*, Jie Dong. An incipient fault detection and self-learning identification method based on robust SVDD and RBM-PNN, Journal of Process Control, 2020, 85: 173-183.

[9] Chuanfang Zhang, Kaixiang Peng*, Jie Dong, Ruihua Jiao. A novel exergy-related fault detection and diagnosis framework with transformer-based conditional generative adversarial networks for hot strip mill process, Control Engineering Practice, 2024, 144: 105820.

[10]  Chuanfang Zhang, Kaixiang Peng*, Jie Dong. A lifecycle operating performance assessment framework for hot strip mill process based on robust kernel canonical variable analysis, Control Engineering Practice, 2021, 107: 104698.

[11]  Chuanfang Zhang, Kaixiang Peng*, Jie Dong. A P-t-SNE and MMEMPM based quality-related process monitoring method for a variety of hot rolling processes, Control Engineering Practice, 2019, 350: 1-11.

[12]  Chuanfang Zhang, Kaixiang Peng*, Jie Dong. A novel plant-wide process monitoring framework based on distributed Gap-SVDD with adaptive radius, Neurocomputing, 2019, 350: 1-12.

[13]  Chuanfang Zhang, Wenyou Du, Yunpeng Fan, Yingwei Zhang*, Ji Zhang. Fault diagnosis of non-Gaussian process based on FKICA, Journal of the Franklin Institute, 2017, 354(6): 2573-2590.

[14]  Liang Ma, Jie Dong, Kaixiang Peng*, Chuanfang Zhang. Hierarchical monitoring and root-cause diagnosis framework for key performance indicator-related multiple faults in process industries, IEEE Transactions on Industrial Informatics, 2019, 15(4): 2091-2100.

[15]  Xueyi Zhang, Liang Ma, Kaixiang Peng*, Chuanfang Zhang. A novel quality-related distributed fault diagnosis framework for large-scale sequential manufacturing processes, IEEE Transactions on Industrial Informatics, 2024, 20(3) : 4397-4407.

[16]  Xueyi Zhang, Liang Ma, Kaixiang Peng*, Chuanfang Zhang, Muhammad Asfandyar Shahid. A cloud–edge collaboration based quality-related hierarchical fault detection framework for large-scale manufacturing processes, Expert Systems with Applications, 2024, 256(5): 124909.

[17]  Ruihua Jiao, Kaixiang Peng*, Jie Dong, Chuanfang Zhang. Fault monitoring and remaining useful life prediction framework for multiple fault modes in prognostics, 2020, 203(5): 107028.

[18]  彭开香, 张传放*, 马亮, 董洁, 焦瑞华, 唐鹏. 面向系统层级的复杂工业过程全息故障诊断. 化工学报, 2019, 70(2): 590-598.

Digital thread-based lifecycle health management system for hot strip mill process, 冶金工业出版社，2024年3月，英文专著，第一著作者.