期刊论文/Journal articles：
·Juanjuan Shi, Ming Liang, Yunpeng Guan, ‘Bearing fault diagnosis under variable rotational speed via the joint application of windowed fractal dimension transform and generalized demodulation: A method free from prefiltering and resampling’, Mechanical Systems and Signal Processing, 68-69(2016), pp. 15-33. (SCI, EI)
·Juanjuan Shi, Ming Liang, ‘Intelligent bearing fault signature extraction via iterative oscillatory behavior based signal decomposition (IOBSD)’, Expert Systems with Application, 45(2016), pp. 40-55. (SCI, EI)
·Juanjuan Shi, Ming Liang, Dan-SorinNecsulescu, Yunpeng Guan, ‘Generalized stepwise demodulation transform and synchrosqueezing for time-frequency analysis and bearing fault diagnosis’, Journal Sound and Vibration, 368(2016), pp. 202-222. (SCI)
·Juanjuan Shi, Ming Liang, ‘A Fractal Dimension based Envelope Demodulation for Rolling Element Bearing Fault Feature Extraction from Vibration Signals’, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, (2015), 203-210: 1989-1996. (SCI, EI)
·Juanjuan Shi, Xingxing Jiang, Ming Liang, Rongmei Ding, Zhongkui Zhu. Automatic instantaneous frequency order (IFO) extraction via integration strategy and multi-demodulation for bearing fault diagnosis under variable speed operation. Journal of Intelligent & Fuzzy Systems. (2018), vol. 34, no. 6, pp. 3547-3563. (SCI, EI)
·Rongmei Ding; Juanjuan Shi*(通讯作者); Xingxing Jiang; Changqing Shen; Zhongkui Zhu, Multiple instantaneous frequency ridge based integration strategy for bearing fault diagnosis under variable speed operations. Measurement Science and Technology, (2018), 29(11), pp. 115002. (SCI, EI)
·Juanjuan Shi, Nan Wu, Xingxing Jiang*, Changqing Shen, Zhongkui Zhu. ‘Transient morphology analysis and sparse representation for bearing fault diagnosis under variable speed condition’. International Journal of Mechatronics and Manufacturing Systems. (2018),11(1), pp: 17-35.(EI)
·石娟娟, 王林, 罗春艳等. 基于优化最小算法的齿轮箱复合故障特征稀疏表示. 振动工程学报, 2017(6):1045-1055. (EI)
·江星星, 吴楠, 石娟娟*(通讯作者), 沈长青等. 基于脊线信息增强与特征融合的瞬时转频估计. 振动与冲击. (已录用, EI)
·Jiang, X., Cheng, X., Shi, Juanjuan, Huang, W., Shen, C., & Zhu, Z. (2018). A new l0 -norm embedded med method for roller element bearing fault diagnosis at early stage of damage. 2018. Measurement. (SCI, EI)
·Xingxing Jiang, Jun Wang, Juanjuan Shi, Changqing Shen, Weiguo Huang, Zhongkui Zhu, A coarse-to-fine decomposing strategy of VMD for extraction of weak repetitive transients in fault diagnosis of rotating machines. Mechanical Systems and Signal Processing, Volume 116, 1 February 2019, Pages 668-692. (SCI, EI)
·Xingxing Jiang, Changqing Shen, Juanjuan Shi, Zhongkui Zhu, Initial center frequency-guided VMD for fault diagnosis of rotating machines, Journal of Sound and Vibration, Volume 435, 24 November 2018, Pages 36-55. (SCI, EI)
·Yumei Qi, Changqing Shen*, Dong Wang, Juanjuan Shi, Xingxing Jiang, Zhongkui Zhu. (2017). Stacked Sparse Autoencoder-Based Deep Network for Fault Diagnosis of Rotating Machinery, IEEE Access. (SCI, EI)
·曾波, 石娟娟, 周雪玉. 基于Cramer法则的区间灰数预测模型参数优化方法研究. 统计与信息论坛, (8) (2015).
部分会议论文/Selected conference papers：
·Juanjuan Shi, Ming Liang, ‘Oscillatory Behavior based Fault Feature Extraction for Bearing Fault Diagnosis’, International conference on Advanced Mechatronic Systems, 2015, pp. 473 – 478. (EI)
·Juanjuan Shi, Hua Ju, GaigaiCai, Zhongkui Zhu, ‘A tacho-free technique for bearing fault diagnosis via the oscillatory behaviors based signal decomposition and generalized demodulation’, 2016 Prognostics and System Health Management conference. (EI)
·Juanjuan Shi, Changqing Shen, Xingxing Jiang, Weiguo Huang, Zhongkui Zhu. An Auto Instantaneous Frequency Order Extraction Method for Bearing Fault Diagnosis under Time-varying Speed Operation, 2017 International Conference on Sensing, Diagnostics, Prognostics, and Control. (EI)