Kaiyong Wang

798 citations
45 papers · 594 indexed · h-index 14
Topics
Probability and Risk Models (45 papers)Financial Risk and Volatility Modeling (24 papers)Insurance, Mortality, Demography, Risk Management (20 papers)
Partner nations
ChinaHong KongLithuania

In The Last Decade

Kaiyong Wang

44 papers receiving 554 citations

Peers

Kaiyong Wang
Comparison fields: 5 of 19
  • Management Science and Operations Research 581
  • Finance 314
  • Demography 275
  • Statistics and Probability 188
  • Mathematical Physics 167
Replace Dongya Cheng with:
Dongya Cheng China
Harri Nyrhinen Finland
Dimitrios G. Konstantinides Greece
Jonas Šiaulys Lithuania
Jia-an Yan China
Qunying Wu China
Przemysław Matuła Poland
Jae‐Kyung Woo Australia
Jevgeņijs Ivanovs Switzerland
Kaiyong Wang relative to Dongya Cheng China Dongya Cheng's profile →
Citations per field
00.5×1.5×2.4×
Dongya Cheng · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 1
3 4
4 6
5 5
6 37
7 5
8 2
9
ASYMPTOTICS FOR THE INFINITE TIME RUIN PROBABILITY OF A DEPENDENT RISK MODEL WITH A CONSTANT INTEREST RATE AND DOMINATEDLY VARYING-TAILED CLAIM SIZES
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10 1
11 49
12 3
13 4
14 4
15 13
16 7
17 5
18 17
19 15
20 2

About Kaiyong Wang

Kaiyong Wang is a scholar working on Management Science and Operations Research, Finance and Mathematical Physics, having authored 45 papers that have together received 594 indexed citations. Recurring topics across this work include Probability and Risk Models (45 papers), Financial Risk and Volatility Modeling (24 papers) and Insurance, Mortality, Demography, Risk Management (20 papers). The work is most often cited by research in Management Science and Operations Research (581 citations), Finance (314 citations) and Demography (275 citations). Kaiyong Wang has collaborated with scholars based in China, Hong Kong and Lithuania. Frequent co-authors include Yuebao Wang, Qingwu Gao, Yang Yang, Dongya Cheng, Yang Chen, Zhimin Zhang, Dimitrios G. Konstantinides, Min Zhou, Lamei Chen and Jin‐Guan Lin. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Journal of Applied Probability and Advances in Applied Probability.

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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