发表论文100余篇，SCI、EI检索论文70余篇，出版英文学术专著1部，代表性学术论文如下：

[1] Jie Dong, Yaqi Wang, Kaixiang Peng*. A novel fault detection method based on the extraction of slow features for dynamic nonstationary processes[J]. IEEE Transactions on Instrumentation and Measurement, 2022, 71: 3500611.

[2] Jie Dong, Chi Zhang, Kaixiang Peng*. A new multimode process monitoring method based on a hierarchical Dirichlet process-Hidden semi-Markov model with application to the hot steel strip mill process[J]. Control Engineering Practice, 2021, 110:104767.

[3] Daye Li, Jie Dong*, Kaixiang Peng. A novel adaptive STFT-SFA based fault detection method for nonstationary processes[J]. IEEE Sensors Journal, 2023, doi:10.1109/JSEN.2023.3264994.

[4] Jie Dong, Keren Cao, Kaixiang Peng*. Hierarchical causal graph-based fault root cause diagnosis and propagation path identification for complex industrial process monitoring[J]. IEEE Transactions on Instrumentation and Measurement, 2023, doi: 10.1109/TIM.2023. 3268464.

[5] 董洁，孙瑞琪，彭开香*. 自动编码器与典型相关分析方法联合驱动的工业过程质量监测[J]. 控制理论与应用, 2019, 36(9): 1493-1500.

[6] 董洁, 张伟, 彭开香*, 马亮. 一种面向工业过程的质量异常检测与故障量化评估方法[J]. 自动化学报, 2022, 48(10): 2406-2415.

[7] 董洁, 游培航, 彭开香*. 基于动态内部主元分析和隐马尔科夫模型的动态过程故障检测与分类方法[J]. 控制理论与应用, 2020, 37(10): 2073-2080.

[8] Jie Dong, Chi Zhang, Kaixiang Peng*. A novel industrial process monitoring method based on improved local tangent space alignment algorithm[J]. Neurocomputing, 2020, 405: 114-125.

[9] Jie Dong, Yingze Tian, Kaixiang Peng*. Local multi-model integrated soft sensor based on just-in-time learning for mechanical properties of hot strip mill process[J]. Journal of Iron and Steel Research International, 2021, 28: 830-841.

[10] Jie Dong, Lingzhi Jiang, Chi Zhang, Kaixiang Peng*. A novel quality- related incipient fault detection method based on canonical variate analysis and Kullback-Leibler divergence for large-scale industrial processes[J]. IEEE Transactions on Instrumentation and Measurement, 2022, 71: 3520410.