1. Tsung, F., Li, Y. and Jin, M. (2006) “Statistical Process Control for Multistage Manufacturing and Serice Operations: A Review”. Proceedings of the IEEE International Conference on Service Operations and Logistics, and Informatics, Shanghai, China, June, 2006 (EI).
2. Han D., Tsung, F., and Li, Y. (2008), “A CUSUM Chart with Local Signal Amplification for Detecting a Range of Unknown Shifts”. International Journal of Reliability, Quality and Safety Engineering, 14, 81-97. (EI).
3. Tsung, F., Li, Y. and Jin, M.(2008), “Statistical Process Control for Multistage Manufacturing and Service Operations: A Review and Some Extensions”. International Journal of Services Operations and Informatics, 3, 191-204 (EI).
4. Li, Y. and Tsung, F. (2009). “False Discovery Rate-Adjusted Charting Schemes for Multistage Process Monitoring and Fault Identification”. Technometrics, 51, 186-205. (SCI, impact factor= 1.711).
5. Li, Y., Tsung, F. and Xi, LF (2009) “Bayesian fault identification of multistage processes”. Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, Hong Kong. December, 1357 -1361. (EI)
6. Li, Y. and Xi, LF (2010) “Statistical Process Control of Over-Dispersed Multivariate Count Data”. Proceedings of the International Conference on Industrial Engineering and Engineering Management, Xiamen, October, 2010. 888-892. (EI)
7. Jin, M., Li, Y. and Tsung, F. (2010) “Chart Allocation strategy for Serial-Parallel Multistage Manufacturing Processes”. IIE Transactions, 42(8), 577-588. (SCI, impact factor= 1.287).
8. Han, D, Tsung, F. and Li, Y. (2010) “A Nonlinear Filter Control Chart For Detecting Dynamic Changes”. Statistica Sinica, 20, 1077-1096. (SCI, impact factor= 0.956).
9. Han, D. and Tsung, F. , Li, Y. and Xian, J. (2010) “Detection of Changes in a Random Financial Sequence with a Stable Distribution ". Journal of Applied Statistics, 37(7), 1089-1111. (SCI, impact factor= 0.407).
10. Li, Y. and Tsung, F. (2011). “Chart Allocation Strategy for Serial Parallel_Multistage Manufacturing Processes with Multiple Faults”. Journal of the Chinese Institute of Industrial Engineers, 28(7),493-503.(EI)
11. Li, Y. (2011) “Fault Isolation of Multistage Processes Using Sequential Bayesian Bifurcation”. Proceedings of the International Conference on Industrial Engineering and Engineering Management, Xiamen, October, 2011. (EI)
12. Li, Y. and Tsung, F. (2011) “Detecting and Diagnosing Covariance Matrix Changes in Multistage Processes”. IIE Transactions, 43(4), 259-274. (SCI, impact factor=1.287).
13. Li, Y. and Tsung, F. (2012). “Multiple Attribute Control Charts with False Discovery Rate Control”. Quality and Reliability Engineering International, 28(8), 857-871. (SCI, impact factor=0.700)
14.Li, Y.; Liu, Y.; Zou, C. and Jiang, W. (2014).A Self-Starting Control Chart for High Dimensional Short-run Process. International Journal of Production Research. Int. J. of Production Research, Volume 52, Issue 2, 445-461.(SCI, impact factor=1.460)
15. Li, Y.; Su,Y. and Shu, L.(2014). An ARMAX model for forecasting the power output of a grid connected photovoltaic system. Renewable Energy. 66, 78-89. (SCI, impact factor=2.989)
16. Huang,W.,Jiang,W.,Wei, Q. and Li, Y. (2015).Projection-based Process Monitoring based on Empirical Divergence. IEEE Intelligent Systems Special Issue on System Informatics,IEEE Intelligent Systems,2015,30(6):13-16..(SCI,impact factor=2.340)
17.Li, Y.; Shu,L. and Tsung, F.(2016). A False Discovery Approach for Scanning Spatial Disease Clusters with Arbitrary Shapes. IIE Transactions. Vol.48, No.7, 684-698.
18.Li, Y, Yong He, Yan Su, Lianjie Shu(2016).Forecasting the daily power output of a grid-connected photovoltaic system based on multivariate adaptive regression splines, Applied Energy, Volume 180, 392–401.(SCI, impact factor=5.746)
19. Wang,Z., Li, Y.*, Zhou, X. (2017).A Statistical Control Chart for Monitoring High Dimensional Poisson Data Streams. Quality and Reliability Engineering International.33(2),307–321.
20 Li, Y. Liu, S. and Shu, L. (2018). Wind Turbine Fault Diagnosis Based on Gaussian Process Classifiers Applied to Operational Data. Renewable Energy. In Press.
21. Fan, Jinyu; Shu, LJ; Yang, AJ; Li, YT (2020) Phase I analysis of high-dimensional covariance matrices based on sparse leading eigenvalues.JOURNAL OF QUALITY TECHNOLOGY. DOI: 10.1080/00224065.2020.1746212
22. Zhang, Y, Li, YT and Zhang, GY(2020) Short-term wind power forecasting approach based on Seq2Seq model using NWP data. Energy. In press.
23. Li, Y. Pei, D. and Wu, Z. (2020) "A Multivariate Non-Parametric Control Chart Based on Run Test
Computers & Industrial Engineering" . Computers & Industrial Engineering. In Press
24. Yanrong LI,Shizhe PENG,Yanting LI,Wei JIANG (2020). A review of condition-based maintenance: Its prognostic and operational aspects[J]. Frontiers of Engineering Management, 2020, 7(3): 323-334.
25. 万松,李艳婷*,于福成 (2010)多工序过程自相关数据的统计监测。上海交通大学学报,44 (09), 1887-1891.(EI)
26. 茅桠捷,李艳婷*(2015) 高维数据均值的统计监测。数理统计与管理,34(3),420-426。(CSSCI)
27. 陆永婷,李艳婷*(2015)“针对发动机平面度的二维FusedLASSO多元统计控制图”。工业工程,18(3),127-133。
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