Eunji Jun
Impact in
- Applied Mathematics top 2%
- Gas Dynamics and Kinetic Theory
- Computational Mechanics top 5%
- Fluid Dynamics and Turbulent Flows
- Computational Fluid Dynamics and Aerodynamics
- Lattice Boltzmann Simulation Studies
Papers in
-
- Gas Dynamics and Kinetic Theory 26
-
- Fluid Dynamics and Turbulent Flows 11
- Computational Fluid Dynamics and Aerodynamics 8
- Co-authors
- Hossein Gorji (2 shared papers)Klaus Hannemann (3 shared papers)Iain D. Boyd (2 shared papers)Marcel Pfeiffer (2 shared papers)Jonathan Burt (2 shared papers)Minwoo Yi (5 shared papers)Luc Mieussens (1 shared paper)Fei Fei (1 shared paper)
- Journals
- Physics of Fluids (10 papers)Computers & Fluids (4 papers)Aerospace Science and Technology (3 papers)Vacuum (2 papers)Computer Physics Communications (1 paper)
- Partner nations
- South KoreaGermanyUnited States
In The Last Decade
Eunji Jun
30 papers receiving 292 citations
Peers
Comparison fields: 5 of 21
- Applied Mathematics 236
- Computational Mechanics 158
- Ocean Engineering 87
- Aerospace Engineering 52
- Finance 15
Countries citing papers authored by Eunji Jun
This map shows the geographic impact of Eunji Jun'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 Eunji Jun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eunji Jun more than expected).
Fields of papers citing papers by Eunji Jun
This network shows the impact of papers produced by Eunji Jun. 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 Eunji Jun. The network helps show where Eunji Jun may publish in the future.
Co-authors
The 16 scholars most cited alongside Eunji Jun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 40 | |
| 2 | 2019 | 22 | |
| 3 | 2018 | 22 | |
| 4 | 2018 | 19 | |
| 5 | 2023 | 17 | |
| 6 | 2023 | 17 | |
| 7 | 2022 | 16 | |
| 8 | 2024 | 15 | |
| 9 | 2011 | 14 | |
| 10 | 2024 | 14 | |
| 11 | 2018 | 12 | |
| 12 | 2024 | 11 | |
| 13 | 2013 | 9 | |
| 14 | 2023 | 9 | |
| 15 | 2023 | 7 | |
| 16 | 2024 | 6 | |
| 17 | 2024 | 6 | |
| 18 | 2024 | 6 | |
| 19 | 2023 | 6 | |
| 20 | 2024 | 5 |
About Eunji Jun
Eunji Jun is a scholar working on Applied Mathematics, Computational Mechanics, Ocean Engineering, Astronomy and Astrophysics and Electrical and Electronic Engineering, having authored 36 papers that have together received 298 indexed citations. Recurring topics across this work include Gas Dynamics and Kinetic Theory (26 papers), Particle Dynamics in Fluid Flows (14 papers), Fluid Dynamics and Turbulent Flows (11 papers), Computational Fluid Dynamics and Aerodynamics (8 papers), Plasma Diagnostics and Applications (8 papers), Ionosphere and magnetosphere dynamics (5 papers), Electrohydrodynamics and Fluid Dynamics (4 papers) and Astro and Planetary Science (3 papers). The work is most often cited by research in Applied Mathematics (236 citations), Computational Mechanics (158 citations), Ocean Engineering (87 citations), Aerospace Engineering (52 citations) and Finance (15 citations). Eunji Jun has collaborated with scholars based in South Korea, Germany and United States. Frequent co-authors include Hossein Gorji, Klaus Hannemann, Iain D. Boyd, Marcel Pfeiffer, Jonathan Burt, Minwoo Yi, Luc Mieussens, Fei Fei, Hyosang Yoon and Jun Zhang. Their work appears in journals such as Physics of Fluids, Computers & Fluids, Aerospace Science and Technology, Vacuum and Computer Physics Communications.
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.