Junna Bi

417 total citations
19 papers, 307 citations indexed

About

Junna Bi is a scholar working on Finance, Demography and Management Science and Operations Research. According to data from OpenAlex, Junna Bi has authored 19 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Finance, 15 papers in Demography and 13 papers in Management Science and Operations Research. Recurrent topics in Junna Bi's work include Insurance, Mortality, Demography, Risk Management (15 papers), Stochastic processes and financial applications (15 papers) and Insurance and Financial Risk Management (9 papers). Junna Bi is often cited by papers focused on Insurance, Mortality, Demography, Risk Management (15 papers), Stochastic processes and financial applications (15 papers) and Insurance and Financial Risk Management (9 papers). Junna Bi collaborates with scholars based in China, Canada and Hong Kong. Junna Bi's co-authors include Junyi Guo, Zhibin Liang, Qingbin Meng, Jun Cai, Kam Chuen Yuen, Yongji Zhang, Hanqing Jin, Yan Zeng, Danping Li and Lihua Bai and has published in prestigious journals such as European Journal of Operational Research, Annals of Operations Research and Journal of Optimization Theory and Applications.

In The Last Decade

Junna Bi

19 papers receiving 285 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Junna Bi China	10	234	198	187	182	8	19	307
Ailing Gu China	6	256 1.1×	239 1.2×	205 1.1×	171 0.9×	11 1.4×	13	330
Mitja Stadje Germany	9	78 0.3×	125 0.6×	150 0.8×	178 1.0×	6 0.8×	28	247
Zongxia Liang China	10	206 0.9×	151 0.8×	196 1.0×	189 1.0×	45 5.6×	33	314
Lihua Bai China	7	271 1.2×	240 1.2×	223 1.2×	178 1.0×	7 0.9×	11	332
Maria de Lourdes Centeno Portugal	12	285 1.2×	283 1.4×	350 1.9×	78 0.4×	5 0.6×	25	391
Roland Portait France	7	62 0.3×	116 0.6×	71 0.4×	222 1.2×	43 5.4×	11	253
Zhibin Liang China	18	709 3.0×	550 2.8×	641 3.4×	446 2.5×	6 0.8×	52	851
Philippe Bertrand France	7	47 0.2×	98 0.5×	72 0.4×	167 0.9×	31 3.9×	34	224
Isabelle Bajeux‐Besnainou United States	7	60 0.3×	115 0.6×	71 0.4×	232 1.3×	47 5.9×	13	273
Ximin Rong China	11	274 1.2×	222 1.1×	165 0.9×	213 1.2×	32 4.0×	27	345

Countries citing papers authored by Junna Bi

Since Specialization

Citations

This map shows the geographic impact of Junna Bi'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 Junna Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junna Bi more than expected).

Fields of papers citing papers by Junna Bi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Junna Bi. 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 Junna Bi. The network helps show where Junna Bi may publish in the future.

Co-authorship network of co-authors of Junna Bi

This figure shows the co-authorship network connecting the top 25 collaborators of Junna Bi. A scholar is included among the top collaborators of Junna Bi 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 Junna Bi. Junna Bi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Bi, Junna, Jun Cai, & Yan Zeng. (2021). Equilibrium reinsurance-investment strategies with partial information and common shock dependence. Annals of Operations Research. 307(1-2). 1–24. 13 indexed citations

Bi, Junna & Danping Li. (2021). Behavioral mean-risk portfolio selection in continuous time via quantile. Communication in Statistics- Theory and Methods. 52(14). 4904–4933. 1 indexed citations

Bi, Junna, Danping Li, & Nan Zhang. (2021). Equilibrium reinsurance-investment strategy with a common shock under two kinds of premium principles. RAIRO. Operations research. 56(1). 1–22. 1 indexed citations

Li, Danping, et al.. (2020). Alpha-robust mean-variance investment strategy for DC pension plan with uncertainty about jump-diffusion risk. RAIRO - Operations Research. 55. S2983–S2997. 11 indexed citations

Meng, Qingbin & Junna Bi. (2019). On the dividends of the risk model with Markovian barrier. Communication in Statistics- Theory and Methods. 49(5). 1272–1280. 1 indexed citations

Bi, Junna, Zhibin Liang, & Kam Chuen Yuen. (2019). Optimal mean–variance investment/reinsurance with common shock in a regime-switching market. Mathematical Methods of Operations Research. 90(1). 109–135. 10 indexed citations

Bi, Junna, et al.. (2019). Optimal investment-reinsurance problems with common shock dependent risks under two kinds of premium principles. RAIRO - Operations Research. 53(1). 179–206. 11 indexed citations

Bi, Junna & Jun Cai. (2018). Optimal investment–reinsurance strategies with state dependent risk aversion and VaR constraints in correlated markets. Insurance Mathematics and Economics. 85. 1–14. 39 indexed citations

Bi, Junna, Hanqing Jin, & Qingbin Meng. (2018). Behavioral mean-variance portfolio selection. European Journal of Operational Research. 271(2). 644–663. 32 indexed citations

10.

Meng, Qingbin, Xin Zhang, & Junna Bi. (2017). On optimal proportional reinsurance and investment in a hidden Markov financial market. Acta Mathematicae Applicatae Sinica English Series. 33(1). 53–62. 2 indexed citations

11.

Liang, Zhibin, et al.. (2016). Optimal mean–variance reinsurance and investment in a jump-diffusion financial market with common shock dependence. Mathematical Methods of Operations Research. 84(1). 155–181. 44 indexed citations

12.

Bi, Junna, et al.. (2016). Optimal mean–variance investment and reinsurance problems for the risk model with common shock dependence. Insurance Mathematics and Economics. 70. 245–258. 37 indexed citations

13.

Bi, Junna & Qingbin Meng. (2016). Optimal investment with transaction costs and dividends for an insurer. RAIRO - Operations Research. 50(4-5). 845–855. 2 indexed citations

14.

Bi, Junna, et al.. (2015). A first-order limit law for functionals of two independent fractional Brownian motions in the critical case. Journal of Theoretical Probability. 29(3). 941–957. 2 indexed citations

15.

Bi, Junna, Qingbin Meng, & Yongji Zhang. (2013). Dynamic mean-variance and optimal reinsurance problems under the no-bankruptcy constraint for an insurer. Annals of Operations Research. 212(1). 43–59. 39 indexed citations

16.

Bi, Junna & Junyi Guo. (2012). Optimal Mean-Variance Problem with Constrained Controls in a Jump-Diffusion Financial Market for an Insurer. Journal of Optimization Theory and Applications. 157(1). 252–275. 53 indexed citations

17.

Wang, Wei & Junna Bi. (2011). Markov-modulated mean-variance problem for an insurer. Acta Mathematica Scientia. 31(3). 1051–1061. 1 indexed citations

18.

Bi, Junna, Junyi Guo, & Lihua Bai. (2011). Optimal multi-asset investment with no-shorting constraint under mean-variance criterion for an insurer. Journal of Systems Science and Complexity. 24(2). 291–307. 5 indexed citations

19.

Bi, Junna & Junyi Guo. (2009). Hedging unit‐linked life insurance contracts in a financial market driven by shot‐noise processes. Applied Stochastic Models in Business and Industry. 26(5). 609–623. 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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