Bong‐Gyu Jang
- Finance top 5%
- Financial Markets and Investment Strategies 23
- Stochastic processes and financial applications 22
- Credit Risk and Financial Regulations 7
- Financial Risk and Volatility Modeling 6
- Demography top 5%
- Insurance, Mortality, Demography, Risk Management 10
- Accounting top 10%
- Financial Literacy, Pension, Retirement Analysis 13
- Economics and Econometrics top 10%
- Economic theories and models 9
- Insurance and Financial Risk Management 8
- Co-authors
- Hyeng Keun KooSeyoung ParkMark A. LoewensteinHong LiuIn Joon KimU Jin ChoiSeungkyu LeeChangki Kim
- Cited by
- FinanceDemographyAccounting
- Partner nations
- South KoreaUnited KingdomUnited States
In The Last Decade
Bong‐Gyu Jang
42 papers receiving 255 citations
Peers
Comparison fields: 5 of 37
- Finance 186
- Demography 82
- Accounting 63
- Economics and Econometrics 144
- Management Science and Operations Research 50
Countries citing papers authored by Bong‐Gyu Jang
This map shows the geographic impact of Bong‐Gyu Jang'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 Bong‐Gyu Jang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bong‐Gyu Jang more than expected).
Fields of papers citing papers by Bong‐Gyu Jang
This network shows the impact of papers produced by Bong‐Gyu Jang. 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 Bong‐Gyu Jang. The network helps show where Bong‐Gyu Jang may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Bong‐Gyu Jang, 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 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 1 | |
| 5 | 2021 | 4 | |
| 6 | 2020 | 0 | |
| 7 | 2019 | 6 | |
| 8 | 2015 | 2 | |
| 9 | 2014 | 0 | |
| 10 | 2014 | 1 | |
| 11 | 2013 | 12 | |
| 12 | 2013 | 5 | |
| 13 | 2012 | 18 | |
| 14 | 2011 | 0 | |
| 15 | An Analytic Valuation Method for Multivariate Contingent Claims with Regime-Switching Volatilities | 2009 | 2 |
| 16 | 2008 | 3 | |
| 17 | A First-Passage-Time Model Under Regime-Switching Market Environment | 2007 | 1 |
| 18 | Valuing Qualitative Options With Stochastic Volatility | 2007 | 0 |
| 19 | 2007 | 10 | |
| 20 | Estimation of Port Traffic in Korea | 2005 | 1 |
About Bong‐Gyu Jang
Bong‐Gyu Jang is a scholar working on Finance, Accounting and Demography, having authored 55 papers that have together received 267 indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (23 papers), Stochastic processes and financial applications (22 papers), Financial Literacy, Pension, Retirement Analysis (13 papers), Insurance, Mortality, Demography, Risk Management (10 papers), Economic theories and models (9 papers), Insurance and Financial Risk Management (8 papers), Credit Risk and Financial Regulations (7 papers) and Financial Risk and Volatility Modeling (6 papers). The work is most often cited by research in Finance (186 citations), Demography (82 citations) and Accounting (63 citations). Bong‐Gyu Jang has collaborated with scholars based in South Korea, United Kingdom and United States. Frequent co-authors include Hyeng Keun Koo, Seyoung Park, Mark A. Loewenstein, Hong Liu, In Joon Kim, U Jin Choi, Seungkyu Lee, Changki Kim, Gyoocheol Shim and Huainan Zhao.
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.