Eunji Jun
Impact in
- Applied Mathematics top 5%
- 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
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- Gas Dynamics and Kinetic Theory 24
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- 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)Luc Mieussens (1 shared paper)Minwoo Yi (4 shared papers)Fei Fei (1 shared paper)
- Journals
- Physics of Fluids (9 papers)Computers & Fluids (4 papers)Vacuum (2 papers)Aerospace Science and Technology (2 papers)Journal of Computational Physics (1 paper)
- Partner nations
- South KoreaGermanyUnited States
In The Last Decade
Eunji Jun
29 papers receiving 251 citations
Peers
Comparison fields: 5 of 20
- Applied Mathematics 203
- Computational Mechanics 147
- Ocean Engineering 84
- Aerospace Engineering 47
- Statistical and Nonlinear Physics 19
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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 37 | |
| 2 | 2019 | 21 | |
| 3 | 2018 | 20 | |
| 4 | 2018 | 18 | |
| 5 | 2023 | 15 | |
| 6 | 2023 | 15 | |
| 7 | 2022 | 14 | |
| 8 | 2024 | 13 | |
| 9 | 2011 | 12 | |
| 10 | 2024 | 11 | |
| 11 | 2018 | 10 | |
| 12 | 2024 | 9 | |
| 13 | 2013 | 9 | |
| 14 | 2023 | 7 | |
| 15 | 2023 | 7 | |
| 16 | 2024 | 5 | |
| 17 | 2023 | 5 | |
| 18 | 2024 | 4 | |
| 19 | 2024 | 4 | |
| 20 | 2024 | 4 |
About Eunji Jun
Eunji Jun is a scholar working on Applied Mathematics, Computational Mechanics, Ocean Engineering, Electrical and Electronic Engineering and Astronomy and Astrophysics, having authored 33 papers that have together received 255 indexed citations. Recurring topics across this work include Gas Dynamics and Kinetic Theory (24 papers), Particle Dynamics in Fluid Flows (14 papers), Fluid Dynamics and Turbulent Flows (11 papers), Plasma Diagnostics and Applications (8 papers), Computational Fluid Dynamics and Aerodynamics (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 (203 citations), Computational Mechanics (147 citations), Ocean Engineering (84 citations), Aerospace Engineering (47 citations) and Statistical and Nonlinear Physics (19 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, Luc Mieussens, Minwoo Yi, Fei Fei, Hyosang Yoon and Jun Zhang. Their work appears in journals such as Physics of Fluids, Computers & Fluids, Vacuum, Aerospace Science and Technology and Journal of Computational 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.