U Jin Choi
- Economics and Econometrics top 10%
- Finance top 10%
- Numerical Analysis top 10%
- Demography top 10%
- Modeling and Simulation top 5%
- Co-authors
- Yong Hyun ShinR. C. MacCamyBeong In YunА. Г. РаммSoyoung AhnSung Chan JunBong‐Gyu JangSeungkeun Park
- Topics
- Stochastic processes and financial applications (8 papers)Iterative Methods for Nonlinear Equations (6 papers)Advanced Numerical Analysis Techniques (5 papers)
- Journals
- International Journal for Numerical Methods in EngineeringHuman Brain MappingJournal of Mathematical Analysis and Applications
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
U Jin Choi
30 papers receiving 305 citations
Peers
Comparison fields: 5 of 47
- Economics and Econometrics 89
- Finance 87
- Numerical Analysis 68
- Demography 67
- Modeling and Simulation 65
Countries citing papers authored by U Jin Choi
This map shows the geographic impact of U Jin Choi'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 U Jin Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites U Jin Choi more than expected).
Fields of papers citing papers by U Jin Choi
This network shows the impact of papers produced by U Jin Choi. 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 U Jin Choi. The network helps show where U Jin Choi may publish in the future.
Co-authorship network of co-authors of U Jin Choi
This figure shows the co-authorship network connecting the top 25 collaborators of U Jin Choi. A scholar is included among the top collaborators of U Jin Choi 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 U Jin Choi. U Jin Choi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 53 | |
| 2 | 4 | |
| 3 | Optimal Investment and Consumption Decision of Family with Life Insurance | 1 |
| 4 | 12 | |
| 5 | 17 | |
| 6 | 26 | |
| 7 | 29 | |
| 8 | 2 | |
| 9 | 33 | |
| 10 | 9 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | The damped modified iterated Kalman filter for nonlinear discrete time systems | 0 |
| 15 | 2 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 43 | |
| 20 | 2 |
About U Jin Choi
U Jin Choi is a scholar working on Numerical Analysis, Finance and Applied Mathematics, having authored 32 papers that have together received 333 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (8 papers), Iterative Methods for Nonlinear Equations (6 papers) and Advanced Numerical Analysis Techniques (5 papers). The work is most often cited by research in Modeling and Simulation (65 citations), Numerical Analysis (68 citations) and Finance (87 citations). U Jin Choi has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Yong Hyun Shin, R. C. MacCamy, Beong In Yun, А. Г. Рамм, Soyoung Ahn, Sung Chan Jun, Bong‐Gyu Jang, Seungkeun Park, Y. Park and Do Y. Kwak. Their work appears in journals such as International Journal for Numerical Methods in Engineering, Human Brain Mapping and Journal of Mathematical Analysis and Applications.
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.