Young-Pil Choi
- Applied Mathematics top 2%
- Computer Networks and Communications top 5%
- Computational Mechanics top 10%
- Modeling and Simulation top 2%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- José A. CarrilloSeung-Yeal HaZhuchun LiHyeong‐Ohk BaeClaudia TotzeckOliver TseEitan TadmorChanghui Tan
- Topics
- Gas Dynamics and Kinetic Theory (13 papers)Navier-Stokes equation solutions (9 papers)Mathematical Biology Tumor Growth (8 papers)
- Journals
- Journal of Computational PhysicsJournal of Differential EquationsJournal of Mathematical Physics
- Partner nations
- South KoreaUnited KingdomUnited States
In The Last Decade
Young-Pil Choi
25 papers receiving 578 citations
Peers
Comparison fields: 5 of 55
- Applied Mathematics 291
- Computer Networks and Communications 252
- Computational Mechanics 146
- Modeling and Simulation 142
- Statistical and Nonlinear Physics 124
Countries citing papers authored by Young-Pil Choi
This map shows the geographic impact of Young-Pil 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 Young-Pil Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young-Pil Choi more than expected).
Fields of papers citing papers by Young-Pil Choi
This network shows the impact of papers produced by Young-Pil 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 Young-Pil Choi. The network helps show where Young-Pil Choi may publish in the future.
Co-authorship network of co-authors of Young-Pil Choi
This figure shows the co-authorship network connecting the top 25 collaborators of Young-Pil Choi. A scholar is included among the top collaborators of Young-Pil 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 Young-Pil Choi. Young-Pil 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 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | Quantitative error estimates for the large friction limit of Vlasov equation with nonlocal forces | 16 |
| 6 | 31 | |
| 7 | 19 | |
| 8 | 77 | |
| 9 | 53 | |
| 10 | 15 | |
| 11 | 13 | |
| 12 | 42 | |
| 13 | 21 | |
| 14 | 10 | |
| 15 | 6 | |
| 16 | 12 | |
| 17 | 27 | |
| 18 | 11 | |
| 19 | 30 | |
| 20 | 44 |
About Young-Pil Choi
Young-Pil Choi is a scholar working on Modeling and Simulation, Applied Mathematics and Computer Networks and Communications, having authored 28 papers that have together received 638 indexed citations. Recurring topics across this work include Gas Dynamics and Kinetic Theory (13 papers), Navier-Stokes equation solutions (9 papers) and Mathematical Biology Tumor Growth (8 papers). The work is most often cited by research in Modeling and Simulation (142 citations), Applied Mathematics (291 citations) and Mathematical Physics (106 citations). Young-Pil Choi has collaborated with scholars based in South Korea, United Kingdom and United States. Frequent co-authors include José A. Carrillo, Seung-Yeal Ha, Zhuchun Li, Hyeong‐Ohk Bae, Claudia Totzeck, Oliver Tse, Eitan Tadmor, Changhui Tan, Bongsuk Kwon and Trygve K. Karper. Their work appears in journals such as Journal of Computational Physics, Journal of Differential Equations and Journal of Mathematical Physics.
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.