一作及通讯作者论文60余篇，6篇ESI热点论文，10篇ESI高被引论文。详情可见Google Scholar|ResearchGate|Scopus。10篇代表作罗列如下 (一作、通讯各5篇):

1. Ke Feng, J.C. Ji, Yongchao Zhang^*, Qing Ni^*, Zheng Liu^*, Michael Beer, “Digital twin-driven intelligent assessment of gear surface degradation”, Mechanical Systems and Signal Processing, 2023, 186, pp. 109896. (SCI, JCR Q1,中科院一区, IF 8. 4) DOI: 10.1016/j.ymssp.2022.109896. (ESI 热点论文)
2. Ke Feng, J.C. Ji, Qing Ni^*, Michael Beer, “A review of vibration-based monitoring and prediction techniques for gear wear”, Mechanical Systems and Signal Processing, 2023, 182, pp.109605. (SCI, JCR Q1, 中科院一区, IF 8. 4) DOI: 10.1016/j.ymssp.2022.109605. (ESI 热点论文)
3. Ke Feng^*, Wade A. Smith, Robert B. Randall, Hongkun Wu, Zhongxiao Peng, “Vibration-based monitoring and prediction of surface profile change and pitting density in a gear wear process”, Mechanical Systems and Signal Processing, 2022, 165, pp. 108319. (SCI, JCR Q1, 中科院一区, IF 8. 4) DOI: 10.1016/j.ymssp.2021.108319. (ESI 高被引论文)
4. Ke Feng^*, Wade A. Smith, Pietro Borghesani, Robert B. Randall, Zhongxiao Peng, “Use of cyclostationary properties of vibration signals to identify gear wear mechanisms and track wear evolution”, Mechanical Systems and Signal Processing, 2021, 150, pp. 107258. (SCI, JCR Q1, 中科院一区, IF 8. 4) DOI: 10.1016/j.ymssp.2020.107258. (ESI 高被引论文)
5. Ke Feng, J.C. Ji, Qing Ni^*, Yifan Li, Wentao Mao, Libin Liu, “A novel vibration-based prognostic scheme for gear health management in surface wear progression of the intelligent manufacturing system”, Wear, 2023, 522, pp. 204697 (SCI, JCR Q1, 中科院一区, IF 5.0) DOI: 10.1016/j.wear.2023.204697. (ESI高被引论文)
6. Yadonng Xu, Ke Feng^*, Xiaoan Yan, Ruqiang Yan, Qing Ni, Beibei Sun, Zihao Lei, Yongchao Zhang, Zheng Liu, “CFCNN: A Novel Convolutional Fusion Framework for Collaborative Fault Identification of Rotating Machinery”, Information Fusion, 2023, 95, pp. 1-16. (SCI, JCR Q1, 中科院一区, IF 18.6). DOI: 10.1016/j.inffus.2023.02.012. (ESI 热点论文)
7. Zihao Lei, Hongming Chen, Guangrui Wen, Ke Feng^*, Zheng Liu, Ruqiang Yan, Xuefeng Chen, “A Synchronous Holo-balancing Method for Flexible Rotors Based on the Modified Initial Phase Vector”, Information Fusion, 2023, 90, pp. 95-110. (SCI, JCR Q1, 中科院一区, IF 18.6) DOI: 10.1016/j.inffus.2022.09.013.
8. Qing Ni, J.C. Ji, Ke Feng^*, “Data-driven prognostic scheme for bearings based on a novel health indicator and gated recurrent unit network”, IEEE Transactions on Industrial Informatics, 2023, 19(2), pp. 1301-1311. (SCI, JCR Q1, 中科院一区, IF 12.3) DOI: 10.1109/TII.2022.3169465. (ESI 高被引论文)
9. Yadong Xu, Ke Feng^*, Xiaoan Yan, Xin Sheng, Beibei Sun, Zheng Liu, Ruqiang Yan, “Cross-modal Fusion Convolutional Neural Networks with Online Soft Label Training Strategy for Mechanical Fault Diagnosis”, IEEE Transactions on Industrial Informatics,  2023, 20(1), pp. 73-84.  (SCI, JCR Q1, 中科院一区, IF 12.3) DOI: 10.1109/TII.2023.3256400.
10. Qing Ni, J.C. Ji, Benjamin Halkon, Ke Feng^*, Asoke K Nandi, “Physics-Informed Residual Network (PIResNet) for rolling element bearing fault diagnostics”, Mechanical Systems and Signal Processing, 2023, 200, pp. 110544. (SCI, JCR Q1,中科院一区, IF 8. 4) DOI: 10.1016/j.ymssp.2023.110544. (ESI 热点论文)