Tae Yeon Kwon

613 total citations · 1 hit paper
15 papers, 358 citations indexed

About

Tae Yeon Kwon is a scholar working on Finance, Epidemiology and Management Science and Operations Research. According to data from OpenAlex, Tae Yeon Kwon has authored 15 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Finance, 3 papers in Epidemiology and 3 papers in Management Science and Operations Research. Recurrent topics in Tae Yeon Kwon's work include Insurance, Mortality, Demography, Risk Management (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Statistical Methods and Bayesian Inference (2 papers). Tae Yeon Kwon is often cited by papers focused on Insurance, Mortality, Demography, Risk Management (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Statistical Methods and Bayesian Inference (2 papers). Tae Yeon Kwon collaborates with scholars based in South Korea, United States and Japan. Tae Yeon Kwon's co-authors include Yousung Park, Nam Hoon Kim, Sin Gon Kim, Sungwook Yu, Nan Hee Kim, Sei Hyun Baik, Kyung Mook Choi, Dong Seop Choi, Ji A Seo and Kyeong Jin Kim and has published in prestigious journals such as Stroke, Scientific Reports and Finance research letters.

In The Last Decade

Tae Yeon Kwon

12 papers receiving 353 citations

Hit Papers

A novel adiposity index as an integrated predictor of car... 2018 2026 2020 2023 2018 100 200 300

Peers

Tae Yeon Kwon
Tae Yeon Kwon
Citations per year, relative to Tae Yeon Kwon Tae Yeon Kwon (= 1×) peers Věra Lánská

Countries citing papers authored by Tae Yeon Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Tae Yeon Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tae Yeon Kwon. 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 Tae Yeon Kwon. The network helps show where Tae Yeon Kwon may publish in the future.

Co-authorship network of co-authors of Tae Yeon Kwon

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

All Works

15 of 15 papers shown
1.
Park, Yousung & Tae Yeon Kwon. (2024). Ensemble with Divisive Bagging for Feature Selection in Big Data. Computational Economics. 66(2). 1321–1354. 2 indexed citations
2.
Kwon, Tae Yeon. (2024). Feature importance in linear models with ensemble machine learning: A study of the Fama and French five-factor model. Finance research letters. 71. 106406–106406. 1 indexed citations
3.
Kwon, Tae Yeon, et al.. (2024). N-point modified exponential model for household projections in Korea using multi-point register-based census data. Communications for Statistical Applications and Methods. 31(4). 377–391.
4.
Kwon, Tae Yeon, Anne Corinne Huggins‐Manley, Jonathan Templin, & Ming-Ying Zheng. (2024). Modeling Hierarchical Attribute Structures in Diagnostic Classification Models with Multiple Attempts. Journal of Educational Measurement. 61(2). 198–218. 2 indexed citations
5.
Kwon, Tae Yeon. (2018). Particle filtering of volatility dynamics for KOSPI200 and its sequential prediction. Journal of Forecasting. 37(7). 720–728. 1 indexed citations
6.
Park, Yousung, Nam Hoon Kim, Tae Yeon Kwon, & Sin Gon Kim. (2018). A novel adiposity index as an integrated predictor of cardiometabolic disease morbidity and mortality. Scientific Reports. 8(1). 16753–16753. 301 indexed citations breakdown →
7.
Kim, Kyeong Jin, Tae Yeon Kwon, Sungwook Yu, et al.. (2018). Ten-Year Mortality Trends for Adults with and without Diabetes Mellitus in South Korea, 2003 to 2013. Diabetes & Metabolism Journal. 42(5). 394–394. 23 indexed citations
8.
Kwon, Tae Yeon, et al.. (2018). Variable-based missing mechanism for an incomplete contingency table with unit missingness. Statistics & Probability Letters. 146. 90–96.
9.
Kwon, Tae Yeon, et al.. (2017). Health life expectancy in Korea based on sample cohort database of National Health Insurance Services. Korean Journal of Applied Statistics. 30(3). 475–486. 3 indexed citations
10.
Kwon, Tae Yeon, et al.. (2017). Industry specific defaults. Journal of Empirical Finance. 45. 45–58. 3 indexed citations
11.
Kim, Nam Hoon, Tae Yeon Kwon, Sungwook Yu, et al.. (2017). Increased Vascular Disease Mortality Risk in Prediabetic Korean Adults Is Mainly Attributable to Ischemic Stroke. Stroke. 48(4). 840–845. 13 indexed citations
12.
Kwon, Tae Yeon & Yousung Park. (2016). Reliability of self-reported data for prevalence and health life expectancy studies: comparison with sample cohort DB of National Health Insurance Services. Korean Journal of Applied Statistics. 29(7). 1329–1346. 3 indexed citations
13.
Kwon, Tae Yeon, et al.. (2016). A study on the violent crime and control factors in Korea. Journal of the Korean Data and Information Science Society. 27(6). 1511–1523.
14.
Kwon, Tae Yeon & Yousung Park. (2015). A new multiple imputation method for bounded missing values. Statistics & Probability Letters. 107. 204–209. 3 indexed citations
15.
Kwon, Tae Yeon, et al.. (2015). Estimating structural credit risk models when market prices are contaminated with noise. Applied Stochastic Models in Business and Industry. 32(1). 18–32. 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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