Kam Chuen Yuen

2.3k total citations
101 papers, 1.7k citations indexed

About

Kam Chuen Yuen is a scholar working on Management Science and Operations Research, Demography and Finance. According to data from OpenAlex, Kam Chuen Yuen has authored 101 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Management Science and Operations Research, 59 papers in Demography and 45 papers in Finance. Recurrent topics in Kam Chuen Yuen's work include Probability and Risk Models (66 papers), Insurance, Mortality, Demography, Risk Management (59 papers) and Stochastic processes and financial applications (38 papers). Kam Chuen Yuen is often cited by papers focused on Probability and Risk Models (66 papers), Insurance, Mortality, Demography, Risk Management (59 papers) and Stochastic processes and financial applications (38 papers). Kam Chuen Yuen collaborates with scholars based in Hong Kong, China and United States. Kam Chuen Yuen's co-authors include Zhibin Liang, Yiqing Chen, Chuancun Yin, Junyi Guo, Kai Wang Ng, Guojing Wang, Ming Zhou, Yang Yang, Ka Chun Cheung and Guo‐Liang Tian and has published in prestigious journals such as European Journal of Operational Research, Journal of Mathematical Analysis and Applications and Applied Mathematics and Computation.

In The Last Decade

Kam Chuen Yuen

93 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kam Chuen Yuen Hong Kong 23 1.2k 1.0k 824 598 248 101 1.7k
Remigijus Leipus Lithuania 20 420 0.3× 176 0.2× 1.1k 1.3× 769 1.3× 350 1.4× 89 1.5k
M.C. Quenez France 4 518 0.4× 607 0.6× 1.9k 2.3× 475 0.8× 87 0.4× 5 2.0k
Bjørn Sundt Norway 15 559 0.5× 290 0.3× 215 0.3× 213 0.4× 334 1.3× 63 881
Filip Lindskog Sweden 14 297 0.2× 113 0.1× 547 0.7× 216 0.4× 208 0.8× 32 819
X.Y. Zhou Hong Kong 8 536 0.4× 352 0.3× 792 1.0× 324 0.5× 55 0.2× 13 1.1k
Michael Kupper Germany 17 800 0.7× 163 0.2× 700 0.8× 399 0.7× 122 0.5× 56 1.1k
Г. Ш. Цициашвили Russia 10 677 0.6× 398 0.4× 363 0.4× 154 0.3× 116 0.5× 89 838
Damien Lamberton France 16 171 0.1× 165 0.2× 914 1.1× 325 0.5× 83 0.3× 30 1.1k
Yuebao Wang China 19 1.2k 1.0× 430 0.4× 637 0.8× 87 0.1× 476 1.9× 71 1.4k
Marco Frittelli Italy 15 979 0.8× 229 0.2× 1.1k 1.3× 664 1.1× 131 0.5× 41 1.4k

Countries citing papers authored by Kam Chuen Yuen

Since Specialization
Citations

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

Fields of papers citing papers by Kam Chuen Yuen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kam Chuen Yuen. 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 Kam Chuen Yuen. The network helps show where Kam Chuen Yuen may publish in the future.

Co-authorship network of co-authors of Kam Chuen Yuen

This figure shows the co-authorship network connecting the top 25 collaborators of Kam Chuen Yuen. A scholar is included among the top collaborators of Kam Chuen Yuen 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 Kam Chuen Yuen. Kam Chuen Yuen 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.
Yuan, Yu, Kam Chuen Yuen, & Fudong Wang. (2025). Stackelberg equilibrium reinsurance contract with smooth ambiguity under thinning-dependence framework. Scandinavian Actuarial Journal. 2025(10). 959–988.
2.
Yuan, Yu, et al.. (2023). Optimal reinsurance-investment strategy with thinning dependence and delay factors under mean-variance framework. European Journal of Operational Research. 311(2). 581–595. 15 indexed citations
3.
Tian, Guo‐Liang, et al.. (2023). Compositional inverse Gaussian models with applications in compositional data analysis with possible zero observations. Journal of Statistical Computation and Simulation. 94(2). 248–278. 1 indexed citations
4.
5.
Liu, Shuang, et al.. (2022). Second-Order Tail Behavior for Stochastic Discounted Value of Aggregate Net Losses in a Discrete-Time Risk Model. Journal of Theoretical Probability. 35(4). 2600–2621.
6.
Tian, Guo‐Liang, et al.. (2021). Proportional inverse Gaussian distribution: A new tool for analysing continuous proportional data. Australian & New Zealand Journal of Statistics. 63(4). 579–605.
7.
Wong, Tommy Hon Ting, Xiaoyu Zhang, Jinfeng Xu, et al.. (2020). The Association Between Coffee Consumption and Metabolic Syndrome in Adults: A Systematic Review and Meta-Analysis. Advances in Nutrition. 12(3). 708–721. 13 indexed citations
8.
Zhou, Ming, et al.. (2020). Optimal dividends and reinsurance with capital injection under thinning dependence. Communication in Statistics- Theory and Methods. 51(16). 5728–5749. 4 indexed citations
9.
Liang, Zhibin, et al.. (2020). Portfolio optimization for jump-diffusion risky assets with regime switching: A time-consistent approach. Journal of Industrial and Management Optimization. 18(1). 341–341. 1 indexed citations
10.
Tian, Guo‐Liang, et al.. (2019). Multivariate zero-and-one inflated Poisson model with applications. Journal of Computational and Applied Mathematics. 365. 112356–112356. 4 indexed citations
11.
Sun, Zhongyang, Kam Chuen Yuen, & Junyi Guo. (2019). A BSDE approach to a class of dependent risk model of mean–variance insurers with stochastic volatility and no-short selling. Journal of Computational and Applied Mathematics. 366. 112413–112413. 13 indexed citations
12.
Tian, Guo‐Liang, et al.. (2018). A new multivariate zero‐adjusted Poisson model with applications to biomedicine. Biometrical Journal. 61(6). 1340–1370. 5 indexed citations
13.
Yang, Yang, Ting Zhang, & Kam Chuen Yuen. (2017). Approximations for finite-time ruin probability in a dependent discrete-time risk model with CMC simulations. Journal of Computational and Applied Mathematics. 321. 143–159. 7 indexed citations
14.
Yuen, Kam Chuen, et al.. (2016). On the expected penalty functions in a discrete semi-Markov risk model with randomized dividends. Journal of Computational and Applied Mathematics. 311. 239–251. 6 indexed citations
15.
Yuen, Kam Chuen, et al.. (2015). Empirical likelihood confidence regions for one- or two- samples with doubly censored data. Computational Statistics & Data Analysis. 93. 285–293. 2 indexed citations
16.
Yin, Chuancun & Kam Chuen Yuen. (2014). Optimal dividend problems for a jump-diffusion model with captial injections and proportional transaction costs. The HKU Scholars Hub (University of Hong Kong). 63 indexed citations
17.
Tang, Qihe, Guojing Wang, & Kam Chuen Yuen. (2009). Uniform tail asymptotics for the stochastic present value of aggregate claims in the renewal risk model. Insurance Mathematics and Economics. 46(2). 362–370. 41 indexed citations
18.
Yuen, Kam Chuen, et al.. (2005). On Ultimate Ruin in a Delayed-Claims Risk Model. Journal of Applied Probability. 42(1). 163–174. 59 indexed citations
19.
Yuen, Kam Chuen, Guojing Wang, & Kai Wang Ng. (2003). Ruin probabilities for a risk process with stochastic return on investments. Stochastic Processes and their Applications. 110(2). 259–274. 33 indexed citations
20.
Yuen, Kam Chuen, et al.. (2002). Comparing k Cumulative Incidence Functions Through Resampling Methods. Lifetime Data Analysis. 8(4). 401–412. 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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Breakdown of academic impact, for papers by Remigijus Leipus Breakdown of academic impact, for papers by M.C. Quenez Breakdown of academic impact, for papers by Bjørn Sundt Breakdown of academic impact, for papers by Filip Lindskog Breakdown of academic impact, for papers by X.Y. Zhou Breakdown of academic impact, for papers by Michael Kupper Breakdown of academic impact, for papers by Г. Ш. Цициашвили Breakdown of academic impact, for papers by Damien Lamberton Breakdown of academic impact, for papers by Yuebao Wang Breakdown of academic impact, for papers by Marco Frittelli
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