Zhen Wang

Dr. Zhen Wang


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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10 November 2018 in Methodology and Computing in Applied Probability
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Journal Article
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ZWZhen Wang
Zhen Wang
LLLi-Wei Liu
Li-Wei Liu
YSYuanfu Shao
Yuanfu Shao
XCXudong Chai
Xudong Chai
BCBaoxian Chang
Baoxian Chang

1 August 2019 in Applied Mathematics and Computation
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Journal Article
Closed access
XCXudong Chai
Xudong Chai
LLLiwei Liu
Liwei Liu
BCBaoxian Chang
Baoxian Chang
TJTao Jiang
Tao Jiang
ZWZhen Wang
Zhen Wang

29 September 2021 in Journal of Combinatorial Optimization
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Journal Article
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ZWZhen Wang
Zhen Wang
LLLi-Wei Liu
Li-Wei Liu
YZYiqiang Q. Zhao
Yiqiang Q. Zhao

11 February 2025 in Public Health
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Journal Article
Closed access
JXJianling Xiong
Jianling Xiong
LKLingming Kong
Lingming Kong
YSYangling Shen
Yangling Shen
SYShilu Yao
Shilu Yao
LWLiuxia Wei
Liuxia Wei
GZGuanghu Zhu
Guanghu Zhu

28 January 2021 in arXiv
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Preprint
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ZWZhen Wang
Zhen Wang
CYCheryl Yang
Cheryl Yang
立刘立伟 刘
立伟 刘
YZYiqiang Zhao
Yiqiang Zhao
We study a passenger-taxi double-ended queue with impatient passengers and two-point matching time in this paper. The system considered in this paper is different from those considered in the existing literature, which fully considers the matching time between passengers and taxis, and the taxi capacity of the system. The objective is to get the equilibrium joining strategy and the socially optimal strategy under two information levels. For the practical consideration of the airport terminal scenario, two different information levels are considered. The theoretical results show that the passenger utility function in the partially observable case is monotonic. For the complex form of social welfare function of the partially observable case, we use a split derivation. The equilibrium strategy and socially optimal strategy of the observable case are threshold-type. Furthermore, some representative numerical scenarios are used to visualize the theoretical results. The numerical scenarios illustrate the influence of parameters on the equilibrium strategy and socially optimal strategy under two information levels. Finally, the optimal social welfare for the two information levels with the same parameters are compared.