Sangyeol Lee
- Statistics and Probability top 0.2%
- Statistical Methods and Inference 84
- Advanced Statistical Methods and Models 51
- Statistical Distribution Estimation and Applications 41
- Finance top 0.5%
- Financial Risk and Volatility Modeling 128
- Stochastic processes and financial applications 20
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- Advanced Statistical Process Monitoring 32
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- Monetary Policy and Economic Impact 35
- Economics and Econometrics top 2%
- Market Dynamics and Volatility 35
- Co-authors
- Cathy W. S. ChenOkyoung NaYoung‐Mi LeeJeongcheol HaByungsoo KimAlex KaragrigoriouZuowei ShenWayne Lawton
- Journals
- SHILAP Revista de lepidopterología (2 papers)PLoS ONE (2 papers)Mathematics of Computation (1 paper)
- Partner nations
- South KoreaTaiwanUnited States
In The Last Decade
Sangyeol Lee
203 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 125
- Statistics and Probability 1.2k
- Finance 1.2k
- Statistics, Probability and Uncertainty 336
- General Economics, Econometrics and Finance 391
- Economics and Econometrics 606
Countries citing papers authored by Sangyeol Lee
This map shows the geographic impact of Sangyeol Lee'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 Sangyeol Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sangyeol Lee more than expected).
Fields of papers citing papers by Sangyeol Lee
This network shows the impact of papers produced by Sangyeol Lee. 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 Sangyeol Lee. The network helps show where Sangyeol Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sangyeol Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2021 | 1 | |
| 7 | 2021 | 2 | |
| 8 | 2021 | 10 | |
| 9 | 2020 | 17 | |
| 10 | Simulation of blended vision and monovision with multifocal intraocular lenses by image fusion | 2019 | 1 |
| 11 | Cusum of squares test for discretely observed sample from diusion processesy | 2010 | 1 |
| 12 | Credibility estimation via kernel mixed effects model | 2009 | 0 |
| 13 | 2009 | 1 | |
| 14 | Jarque-Bera Normality Test for the Driving Levy Process of a Discretely Observed Univariate SDE | 2008 | 9 |
| 15 | Modelling KOSPI200 Data Based on GARCH(1,1) Parameter Change Test | 2007 | 3 |
| 16 | 2006 | 8 | |
| 17 | 2003 | 5 | |
| 18 | 2002 | 2 | |
| 19 | 2001 | 82 | |
| 20 | 2000 | 52 |
About Sangyeol Lee
Sangyeol Lee is a scholar working on Statistics and Probability, Finance and Statistics, Probability and Uncertainty, having authored 220 papers that have together received 2.4k indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (128 papers), Statistical Methods and Inference (84 papers), Advanced Statistical Methods and Models (51 papers), Statistical Distribution Estimation and Applications (41 papers), Market Dynamics and Volatility (35 papers), Monetary Policy and Economic Impact (35 papers), Advanced Statistical Process Monitoring (32 papers) and Stochastic processes and financial applications (20 papers). The work is most often cited by research in Statistics and Probability (1.2k citations), Finance (1.2k citations) and Statistics, Probability and Uncertainty (336 citations). Sangyeol Lee has collaborated with scholars based in South Korea, Taiwan and United States. Frequent co-authors include Cathy W. S. Chen, Okyoung Na, Young‐Mi Lee, Jeongcheol Ha, Byungsoo Kim, Alex Karagrigoriou, Zuowei Shen, Wayne Lawton, Jungsik Noh and Masanobu Taniguchi. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Mathematics of Computation.
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.