研究方向：系统可靠性分析与维修优化，退化数据分析与试验设计等。
近几年发表论文：
1. Guanjun Wang, Yuanlin Zhang. Optimal repair–replacement policies for a system with two types of failures . European Journal of Operational Research 226 (2013) 500–506.
2. Guanjun Wang,Yuanlin Zhang. Geometric process model for a system with inspections and preventive repair. Computers & Industrial Engineering 75 (2014) 13-19.
3. Guanjun Wang, Yuanlin Zhang. Optimal replacement policy for a two-dissimilar-component cold standby system with different repair actions. International Journal of Systems Science 47( 5) (2016) 1021–1031.
4. Yuan Lin Zhang Guan Jun Wang. An optimal age-replacement policy for a cold standby repairable system with priority in use and repair. International Journal of Systems Science: Operations & Logistics 3(4) (2016) 223-235.
5. Wang H,Wang GJ, Duan FJ. Planning of step-stress accelerated degradation test based on the inverse Gaussian process. Reliability Engineering and System Safety , 154 (2016) 97–105.
6.Yuan Lin Zhang Guan Jun Wang.An extended geometric process repair model for a cold standby repairable system with imperfect delayed repair. International Journal of Systems Science: Operations & Logistics 3(3) (2016) 163-175.
7.Guan Jun Wang, Yuan-Lin Zhang, and Richard C. M. Yam. Preventive Maintenance Models Based on the Generalized Geometric Process. IEEE Transactions on Reliability, (2017) 66(4): 1380-1388.
8.Guan Jun Wang, Richard C.M. Yam. Generalized geometric process and its application in maintenance problems. Applied Mathematical Modelling 49 (2017) 554–567
9.Guanjun Wang, Rui Peng. A generalized δ-shock model with two types of shocks. International Journal of Systems Science: Operations & Logistics 4:4 (2017) 372-383.
10. Yuan Lin Zhang Guan Jun Wang. An Optimal Age-replacement Policy for a Simple Repairable System with Delayed Repair.Communications in Statistics - Theory and Methods 46 (6) (2017) 2837-2850.
11. Yuan Lin Zhang Guan Jun Wang. An extended geometric process repair model with delayed repair and slight failure type. Communications in Statistics - Theory and Methods 46(1) (2017) 427 - 437.
12. Yuanlin Zhang,Guanjun Wang. A Geometric Process Repair Model for a Cold Standby Repairable System with
Imperfect Delay Repair and Priority in Use.Communications in Statistics - Theory and Methods 46(16) (2017) 8046-
8058.
13. Fengjun Duan Guanjun Wang. Optimal step-stress accelerateddegradation test plans for inverse Gaussian
process based on proportional degradation rate model. Journal of Statistical Computation and Simulation (2018) 88:2
305-328.
14. FengjunDuan, GuanjunWang, HuanWang. Inverse Gaussian Process Models for Bivariate DegradationAnalysis:
A Bayesian Perspective. Communications in Statistics - Simulation and Computation，(2018) 47:1, 166-186.
15.Guanjun Wang, Fengjun Duan, Yifan Zhou. Reliability evaluation of multi-state series systems with performance sharing. Reliability Engineering and System Safety 173 (2018) 58–63.
16. Y. L. Zhang G. J. Wang. An extended geometric process repair modelwith imperfect delayed repair under
different objective functions, Communications in Statistics -Theory and Methods, (2018) 47:13, 3204-3219.
17. Guanjun Wang, Rui Peng, Liudong Xing. Reliability evaluation of unrepairable k-out-of-n: G systems with
phased mission requirements based on record valuesReliability Engineering and System Safety 178
(2018) 191-197.
18.Fengjun Duan & Guanjun Wang.Exponential-Dispersion Degradation Process ModelsWith Random Effects and
Covariates. IEEE Transactions on Reliability, (2018) 67(3) 1128-1142.
19. Fengjun Duan & Guanjun Wang.Planning of step-stress accelerated degradation test based on non-stationary
gamma process with random effects. Computers & Industrial Engineering 125 (2018) 467-479.
会议论文：
1. Duan F, Wang G. Reliability Modeling of Two-Phase Inverse Gaussian Degradation Process. The Second International Conference on Reliability Systems Engineering (ICRSE 2017), 2017 IEEE International Conference on. IEEE, 2017: 1-6.
2. Duan F, Wang G. Reliability Modeling of Two-Phase Gamma Degradation Process. Software Quality, Reliability and Security Companion(QRS-C), 2017IEEE International Conference on. IEEE, 2017: 620-621.
