Jieming Zhou

463 total citations
30 papers, 352 citations indexed

About

Jieming Zhou is a scholar working on Management Science and Operations Research, Demography and Finance. According to data from OpenAlex, Jieming Zhou has authored 30 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Management Science and Operations Research, 16 papers in Demography and 13 papers in Finance. Recurrent topics in Jieming Zhou's work include Insurance, Mortality, Demography, Risk Management (16 papers), Probability and Risk Models (15 papers) and Stochastic processes and financial applications (13 papers). Jieming Zhou is often cited by papers focused on Insurance, Mortality, Demography, Risk Management (16 papers), Probability and Risk Models (15 papers) and Stochastic processes and financial applications (13 papers). Jieming Zhou collaborates with scholars based in China, Australia and Latvia. Jieming Zhou's co-authors include Xiangqun Yang, Zhongyang Sun, Tie‐Qiao Tang, Hui Ou, Jian Zhang, Junyi Guo, Juan Liu, Yijun Wang, Man Li and Man Li and has published in prestigious journals such as Physics Letters A, Physica A Statistical Mechanics and its Applications and Journal of Computational and Applied Mathematics.

In The Last Decade

Jieming Zhou

25 papers receiving 332 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jieming Zhou China 10 220 186 169 157 47 30 352
Henryk Zähle Germany 9 32 0.1× 68 0.4× 184 1.1× 138 0.9× 29 0.6× 27 343
Roel Verbelen Belgium 8 88 0.4× 91 0.5× 126 0.7× 42 0.3× 6 0.1× 14 309
Farshid Mehrdoust Iran 13 55 0.3× 113 0.6× 109 0.6× 311 2.0× 20 0.4× 70 483
Julien Trufin Belgium 11 139 0.6× 123 0.7× 171 1.0× 40 0.3× 3 0.1× 46 293
Ralf Werner Germany 11 40 0.2× 71 0.4× 210 1.2× 107 0.7× 39 0.8× 25 348
Sandra Pitrebois Belgium 7 152 0.7× 169 0.9× 192 1.1× 30 0.2× 2 0.0× 14 314
Harry Zheng United Kingdom 12 80 0.4× 126 0.7× 148 0.9× 307 2.0× 30 0.6× 72 502
Hao Xing United States 11 32 0.1× 132 0.7× 51 0.3× 251 1.6× 13 0.3× 55 395
Marcos Escobar Canada 10 85 0.4× 101 0.5× 91 0.5× 265 1.7× 6 0.1× 57 319

Countries citing papers authored by Jieming Zhou

Since Specialization
Citations

This map shows the geographic impact of Jieming Zhou's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jieming Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jieming Zhou more than expected).

Fields of papers citing papers by Jieming Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jieming Zhou. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jieming Zhou. The network helps show where Jieming Zhou may publish in the future.

Co-authorship network of co-authors of Jieming Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Jieming Zhou. A scholar is included among the top collaborators of Jieming Zhou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jieming Zhou. Jieming Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhou, Jieming, et al.. (2024). Optimal Investment and Reinsurance to Maximize the Probability of Drawup Before Drawdown. Methodology And Computing In Applied Probability. 26(3).
2.
Zhou, Jieming, et al.. (2024). Latent-based Diffusion Model for Long-tailed Recognition. ANU Open Research (Australian National University). 2639–2648. 6 indexed citations
3.
Zhou, Jieming, et al.. (2024). Identifying the generator matrix of a stationary Markov chain using partially observable data. Chaos An Interdisciplinary Journal of Nonlinear Science. 34(2). 22 indexed citations
4.
Zhou, Jieming, et al.. (2023). On the dual risk model with Parisian implementation delays under a mixed dividend strategy. Probability in the Engineering and Informational Sciences. 37(2). 442–461. 2 indexed citations
5.
Huang, Ying, et al.. (2022). Robust optimal investment and reinsurance to minimize a goal-reaching probability with constrained control variables. Journal of Industrial and Management Optimization. 19(8). 6182–6199. 2 indexed citations
6.
Wang, Yijun, et al.. (2022). Optimal portfolios for the DC pension fund with mispricing under the HARA utility framework. Journal of Industrial and Management Optimization. 19(2). 1262–1262. 4 indexed citations
7.
Ou, Hui, et al.. (2022). Ruin-related problems in the dual risk model under two different randomized observations. Communication in Statistics- Theory and Methods. 52(17). 6241–6265.
8.
Zhou, Jieming, et al.. (2020). n-Dimensional Laplace Transforms of Occupation Times for Pre-Exit Diffusion Processes. Indian Journal of Pure and Applied Mathematics. 51(1). 345–360.
9.
Wang, Yijun, et al.. (2020). Optimal reinsurance–investment policies for insurers with mispricing under mean-variance criterion. Communication in Statistics- Theory and Methods. 51(16). 5653–5680. 6 indexed citations
10.
Li, Man, et al.. (2020). Robust optimal strategies for an insurer under generalized mean-variance premium principle with defaultable bond. Communication in Statistics- Theory and Methods. 50(21). 5126–5159. 5 indexed citations
11.
Zhou, Jieming, et al.. (2019). Optimal investment and risk control policies for an insurer in an incomplete market. Optimization. 68(9). 1625–1652. 6 indexed citations
12.
Zhou, Jieming, et al.. (2018). Robust optimal investment and reinsurance problem for the product of the insurer’s and the reinsurer’s utilities. Journal of Computational and Applied Mathematics. 344. 532–552. 42 indexed citations
13.
Ou, Hui, Tie‐Qiao Tang, Jian Zhang, & Jieming Zhou. (2018). A macro traffic flow model with probability distribution function. Physics Letters A. 382(39). 2819–2824. 9 indexed citations
14.
Yang, Xiangqun, et al.. (2017). Robust optimal investment and reinsurance problem for a general insurance company under Heston model. Mathematical Methods of Operations Research. 85(2). 305–326. 35 indexed citations
15.
Zhou, Jieming, Xiangqun Yang, & Junyi Guo. (2017). Portfolio selection and risk control for an insurer in the Lévy market under mean–variance criterion. Statistics & Probability Letters. 126. 139–149. 11 indexed citations
16.
Liu, Juan, et al.. (2017). On a discrete interaction risk model with delayed claims and stochastic incomes under random discount rates. Communication in Statistics- Theory and Methods. 47(23). 5867–5883. 9 indexed citations
17.
Zhu, Huiming, et al.. (2016). OPTIMAL PROPORTIONAL REINSURANCE AND INVESTMENT PROBLEM WITH CONSTRAINTS ON RISK CONTROL IN A GENERAL JUMP-DIFFUSION FINANCIAL MARKET. The ANZIAM Journal. 57(3). 352–368. 3 indexed citations
18.
Yang, Xiangqun, et al.. (2015). Optimal investment and proportional reinsurance for a jump–diffusion risk model with constrained control variables. Journal of Computational and Applied Mathematics. 296. 443–461. 36 indexed citations
19.
Zhou, Jieming, et al.. (2015). Robust optimal portfolio and proportional reinsurance for an insurer under a CEV model. Insurance Mathematics and Economics. 67. 77–87. 70 indexed citations
20.
Yang, Xiangqun, et al.. (2014). On the Expected Discounted Penalty Function for the Classical Risk Model with Potentially Delayed Claims and Random Incomes. Journal of Applied Mathematics. 2014. 1–12. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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