Kaiyong Wang

798 total citations
45 papers, 594 citations indexed

About

Kaiyong Wang is a scholar working on Management Science and Operations Research, Finance and Demography. According to data from OpenAlex, Kaiyong Wang has authored 45 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Management Science and Operations Research, 28 papers in Finance and 20 papers in Demography. Recurrent topics in Kaiyong Wang's work include Probability and Risk Models (45 papers), Financial Risk and Volatility Modeling (24 papers) and Insurance, Mortality, Demography, Risk Management (20 papers). Kaiyong Wang is often cited by papers focused on Probability and Risk Models (45 papers), Financial Risk and Volatility Modeling (24 papers) and Insurance, Mortality, Demography, Risk Management (20 papers). Kaiyong Wang collaborates with scholars based in China, Hong Kong and Lithuania. Kaiyong Wang's co-authors include Yuebao Wang, Qingwu Gao, Yang Yang, Dongya Cheng, Yang Chen, Zhimin Zhang, Lamei Chen, Dimitrios G. Konstantinides, Min Zhou and Jin‐Guan Lin and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Journal of Applied Probability and Advances in Applied Probability.

In The Last Decade

Kaiyong Wang

44 papers receiving 554 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaiyong Wang China 14 581 314 275 188 167 45 594
Jonas Šiaulys Lithuania 14 467 0.8× 273 0.9× 224 0.8× 175 0.9× 119 0.7× 100 584
Dongya Cheng China 12 342 0.6× 175 0.6× 143 0.5× 135 0.7× 78 0.5× 36 354
Dimitrios G. Konstantinides Greece 11 380 0.7× 209 0.7× 236 0.9× 80 0.4× 95 0.6× 38 437
Harri Nyrhinen Finland 9 362 0.6× 217 0.7× 207 0.8× 91 0.5× 76 0.5× 22 410
Jia-an Yan China 9 259 0.4× 187 0.6× 115 0.4× 50 0.3× 100 0.6× 18 408
Qunying Wu China 15 655 1.1× 290 0.9× 88 0.3× 325 1.7× 216 1.3× 92 730
Jae‐Kyung Woo Australia 11 403 0.7× 190 0.6× 243 0.9× 204 1.1× 29 0.2× 38 450
Przemysław Matuła Poland 6 312 0.5× 127 0.4× 53 0.2× 147 0.8× 144 0.9× 30 327
François Dufresne Switzerland 8 432 0.7× 258 0.8× 245 0.9× 162 0.9× 61 0.4× 13 532

Countries citing papers authored by Kaiyong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kaiyong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaiyong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Kaiyong Wang. A scholar is included among the top collaborators of Kaiyong Wang 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 Kaiyong Wang. Kaiyong Wang 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.
2.
Wang, Kaiyong, et al.. (2022). The finite-time ruin probability of a risk model with stochastic return and subexponential claim sizes*. Communication in Statistics- Theory and Methods. 53(6). 2194–2204. 1 indexed citations
3.
Yuen, Kam Chuen, et al.. (2021). The finite-time ruin probability of a risk model with a general counting process and stochastic return. Journal of Industrial and Management Optimization. 18(3). 1541–1541. 4 indexed citations
4.
Wang, Kaiyong & Lamei Chen. (2019). Precise large deviations for the aggregate claims in a dependent compound renewal risk model. Journal of Inequalities and Applications. 2019(1). 6 indexed citations
5.
Wang, Kaiyong, et al.. (2018). Precise large deviations for widely orthant dependent random variables with different distributions. Journal of Inequalities and Applications. 2018(1). 21–21. 5 indexed citations
6.
Wang, Kaiyong, et al.. (2018). The finite-time ruin probability of a risk model with stochastic return and Brownian perturbation. Japan Journal of Industrial and Applied Mathematics. 35(3). 1173–1189. 13 indexed citations
7.
Wang, Kaiyong, et al.. (2015). On Piterbarg's max-discretisation theorem for homogeneous Gaussian random fields. Journal of Mathematical Analysis and Applications. 429(2). 969–994. 5 indexed citations
8.
Wang, Kaiyong, et al.. (2014). ASYMPTOTICS FOR THE INFINITE TIME RUIN PROBABILITY OF A DEPENDENT RISK MODEL WITH A CONSTANT INTEREST RATE AND DOMINATEDLY VARYING-TAILED CLAIM SIZES. Bulletin of the Iranian Mathematical Society. 40(3). 791–807. 1 indexed citations
9.
Wang, Kaiyong, et al.. (2014). Asymptotics for the Solutions to Defective Renewal Equations. Abstract and Applied Analysis. 2014. 1–5. 1 indexed citations
10.
Wang, Kaiyong, Yang Yang, & Changjun Yu. (2013). Estimates for the overshoot of a random walk with negative drift and non-convolution equivalent increments. Statistics & Probability Letters. 83(6). 1504–1512. 2 indexed citations
11.
Yang, Yang & Kaiyong Wang. (2012). Uniform asymptotics for the finite-time and infinite-time ruin probabilities in a dependent risk model with constant interest rate and heavy-tailed claims. Lithuanian Mathematical Journal. 52(1). 111–121. 4 indexed citations
12.
Wang, Yuebao, et al.. (2012). Uniform asymptotics of the finite-time ruin probability for all times. Journal of Mathematical Analysis and Applications. 390(1). 208–223. 49 indexed citations
13.
Yang, Yang, Kaiyong Wang, & Jie Liu. (2012). Asymptotics and uniform asymptotics for finite-time and infinite-time absolute ruin probabilities in a dependent compound renewal risk model. Journal of Mathematical Analysis and Applications. 398(1). 352–361. 3 indexed citations
14.
Wang, Kaiyong, et al.. (2011). Equivalent conditions of local asymptotics for the overshoot of a random walk with heavy-tailed increments. Acta Mathematica Scientia. 31(1). 109–116. 4 indexed citations
15.
Wang, Yuebao & Kaiyong Wang. (2010). Random walks with non-convolution equivalent increments and their applications. Journal of Mathematical Analysis and Applications. 374(1). 88–105. 13 indexed citations
16.
Wang, Yuebao & Kaiyong Wang. (2009). Equivalent Conditions of Asymptotics for the Density of the Supremum of a Random Walk in the Intermediate Case. Journal of Theoretical Probability. 22(2). 281–293. 5 indexed citations
17.
Li, Jingzhi, Kaiyong Wang, & Yuebao Wang. (2009). Finite-time ruin probability with NQD dominated varying-tailed claims and NLOD inter-arrival times. Journal of Systems Science and Complexity. 22(3). 407–414. 17 indexed citations
18.
Wang, Yuebao, Qingwu Gao, Kaiyong Wang, & Xijun Liu. (2009). Random time ruin probability for the renewal risk modelwith heavy-tailed claims. Journal of Industrial and Management Optimization. 5(4). 719–736. 7 indexed citations
19.
Wang, Yuebao, Dongya Cheng, & Kaiyong Wang. (2005). The closure of a local subexponential distribution class under convolution roots, with applications to the compound Poisson process. Journal of Applied Probability. 42(4). 1194–1203. 15 indexed citations
20.
Wang, Yuebao, Dongya Cheng, & Kaiyong Wang. (2005). The closure of a local subexponential distribution class under convolution roots, with applications to the compound Poisson process. Journal of Applied Probability. 42(4). 1194–1203. 2 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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