Hong‐Chih Huang

441 total citations
24 papers, 315 citations indexed

About

Hong‐Chih Huang is a scholar working on Demography, Economics and Econometrics and General Health Professions. According to data from OpenAlex, Hong‐Chih Huang has authored 24 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Demography, 14 papers in Economics and Econometrics and 11 papers in General Health Professions. Recurrent topics in Hong‐Chih Huang's work include Insurance, Mortality, Demography, Risk Management (20 papers), Global Health Care Issues (11 papers) and Insurance and Financial Risk Management (10 papers). Hong‐Chih Huang is often cited by papers focused on Insurance, Mortality, Demography, Risk Management (20 papers), Global Health Care Issues (11 papers) and Insurance and Financial Risk Management (10 papers). Hong‐Chih Huang collaborates with scholars based in Taiwan and United Kingdom. Hong‐Chih Huang's co-authors include Chou‐Wen Wang, Sharon S. Yang, Jack C. Yue and Andrew J. G. Cairns and has published in prestigious journals such as Expert Systems with Applications, Journal of Risk & Insurance and Insurance Mathematics and Economics.

In The Last Decade

Hong‐Chih Huang

21 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hong‐Chih Huang Taiwan 10 278 199 186 80 43 24 315
Chou‐Wen Wang Taiwan 13 328 1.2× 242 1.2× 227 1.2× 65 0.8× 73 1.7× 39 437
Luca Regis Italy 9 141 0.5× 106 0.5× 91 0.5× 52 0.7× 14 0.3× 22 218
Jaap Spreeuw United Kingdom 7 194 0.7× 119 0.6× 118 0.6× 26 0.3× 19 0.4× 18 257
Jackie Li Australia 14 395 1.4× 347 1.7× 148 0.8× 33 0.4× 123 2.9× 47 444
Irena Dushi United States 8 217 0.8× 170 0.9× 109 0.6× 214 2.7× 11 0.3× 35 309
Anthony Webb United States 9 270 1.0× 206 1.0× 121 0.7× 182 2.3× 21 0.5× 37 338
Richard Plat Netherlands 8 439 1.6× 343 1.7× 181 1.0× 25 0.3× 96 2.2× 12 487
Andrés M. Villegas Australia 10 392 1.4× 360 1.8× 88 0.5× 39 0.5× 132 3.1× 31 440
María del Carmen Boado‐Penas United Kingdom 10 200 0.7× 173 0.9× 50 0.3× 179 2.2× 11 0.3× 27 262
David McCarthy United States 8 137 0.5× 94 0.5× 103 0.6× 147 1.8× 7 0.2× 28 237

Countries citing papers authored by Hong‐Chih Huang

Since Specialization
Citations

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

Fields of papers citing papers by Hong‐Chih Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hong‐Chih Huang. 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 Hong‐Chih Huang. The network helps show where Hong‐Chih Huang may publish in the future.

Co-authorship network of co-authors of Hong‐Chih Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Hong‐Chih Huang. A scholar is included among the top collaborators of Hong‐Chih Huang 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 Hong‐Chih Huang. Hong‐Chih Huang 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.
Huang, Hong‐Chih, et al.. (2025). Catastrophe risk with global climate change determines the price of catastrophe equity puts. The North American Journal of Economics and Finance. 80. 102473–102473.
2.
Yang, Sharon S., et al.. (2022). Modeling pandemic mortality risk and its application to mortality-linked security pricing. Insurance Mathematics and Economics. 106. 341–363. 3 indexed citations
3.
Yang, Sharon S., et al.. (2021). Valuation of non-negative equity guarantees, considering contagion risk for house prices under the HJM interest rate model. Quantitative Finance. 21(9). 1551–1565. 6 indexed citations
4.
Huang, Hong‐Chih, et al.. (2020). A study of the differences among representative investment strategies. International Review of Economics & Finance. 68. 131–149.
5.
Yang, Sharon S., et al.. (2018). Optimal Longevity Hedging Framework for Insurance Companies Considering Basis and Mispricing Risks. Journal of Risk & Insurance. 86(3). 783–805. 2 indexed citations
6.
Wang, Chou‐Wen & Hong‐Chih Huang. (2017). RISK MANAGEMENT OF FINANCIAL CRISES: AN OPTIMAL INVESTMENT STRATEGY WITH MULTIVARIATE JUMP-DIFFUSION MODELS. Astin Bulletin. 47(2). 501–525. 1 indexed citations
7.
Wang, Chou‐Wen, Sharon S. Yang, & Hong‐Chih Huang. (2015). Modeling multi-country mortality dependence and its application in pricing survivor index swaps—A dynamic copula approach. Insurance Mathematics and Economics. 63. 30–39. 23 indexed citations
8.
Wang, Chou‐Wen, et al.. (2015). The Valuation of Lifetime Health Insurance Policies with Limited Coverage. Journal of Risk & Insurance. 83(3). 777–800. 4 indexed citations
9.
Wang, Chou‐Wen, et al.. (2013). A feasible natural hedging strategy for insurance companies. Insurance Mathematics and Economics. 52(3). 532–541. 6 indexed citations
10.
Wang, Chou‐Wen, et al.. (2013). Mortality Modeling With Non‐Gaussian Innovations and Applications to the Valuation of Longevity Swaps. Journal of Risk & Insurance. 80(3). 775–798. 25 indexed citations
11.
Wang, Chou‐Wen, et al.. (2012). On the valuation of reverse mortgages with regular tenure payments. Insurance Mathematics and Economics. 51(2). 430–441. 41 indexed citations
12.
Huang, Hong‐Chih, et al.. (2011). Securitisation of Crossover Risk in Reverse Mortgages. The Geneva Papers on Risk and Insurance Issues and Practice. 36(4). 622–647. 30 indexed citations
13.
Wang, Chou‐Wen, et al.. (2011). A Quantitative Comparison of the Lee-Carter Model under Different Types of Non-Gaussian Innovations. The Geneva Papers on Risk and Insurance Issues and Practice. 36(4). 675–696. 32 indexed citations
14.
Huang, Hong‐Chih, et al.. (2009). Optimal asset allocation for a general portfolio of life insurance policies. Insurance Mathematics and Economics. 46(2). 271–280. 5 indexed citations
15.
Yang, Sharon S., Jack C. Yue, & Hong‐Chih Huang. (2009). Modeling longevity risks using a principal component approach: A comparison with existing stochastic mortality models. Insurance Mathematics and Economics. 46(1). 254–270. 48 indexed citations
16.
Yang, Sharon S. & Hong‐Chih Huang. (2009). The Impact of Longevity Risk on the Optimal Contribution Rate and Asset Allocation for Defined Contribution Pension Plans. The Geneva Papers on Risk and Insurance Issues and Practice. 34(4). 660–681. 18 indexed citations
17.
Yue, Jack C., Sharon S. Yang, & Hong‐Chih Huang. (2008). A Study of the Lee-Carter Model with Age-Shifts. 2 indexed citations
18.
Huang, Hong‐Chih, Jack C. Yue, & Sharon S. Yang. (2008). An Empirical Study of Mortality Models in Taiwan. RePEc: Research Papers in Economics. 3(1). 5 indexed citations
19.
Huang, Hong‐Chih, Jack C. Yue, & Sharon S. Yang. (2008). An Empirical Study of Mortality Models in Taiwan. 3(1). 6 indexed citations
20.
Huang, Hong‐Chih & Andrew J. G. Cairns. (2005). On the control of defined-benefit pension plans. Insurance Mathematics and Economics. 38(1). 113–131. 15 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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