Min Son
Impact in
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- Advanced Combustion Engine Technologies
- Computational Mechanics top 5%
- Combustion and flame dynamics
- Fluid Dynamics and Heat Transfer
- Heat transfer and supercritical fluids
Papers in
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- Advanced Combustion Engine Technologies 19
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- Combustion and flame dynamics 17
- Heat transfer and supercritical fluids 10
- Fluid Dynamics and Heat Transfer 6
- Computational Fluid Dynamics and Aerodynamics 4
- Co-authors
- Jaye Koo (30 shared papers)Oh Chae Kwon (4 shared papers)Youngbin Yoon (1 shared paper)Heuy Dong Kim (2 shared papers)Jeong Soo Kim (2 shared papers)Yoon‐Seok Chang (1 shared paper)Dohun Kim (5 shared papers)Heejang Moon (1 shared paper)
- Journals
- Acta Astronautica (3 papers)Combustion Science and Technology (2 papers)Atomization and Sprays (2 papers)AIAA Journal (1 paper)Engineering Applications of Artificial Intelligence (1 paper)
- Partner nations
- South KoreaGermanyJapan
In The Last Decade
Min Son
35 papers receiving 431 citations
Peers
Comparison fields: 5 of 36
- Fluid Flow and Transfer Processes 171
- Computational Mechanics 317
- Aerospace Engineering 280
- Mechanics of Materials 63
- Electrical and Electronic Engineering 86
Countries citing papers authored by Min Son
This map shows the geographic impact of Min Son'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 Min Son with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Son more than expected).
Fields of papers citing papers by Min Son
This network shows the impact of papers produced by Min Son. 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 Min Son. The network helps show where Min Son may publish in the future.
Co-authors
The 25 scholars most cited alongside Min Son, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 71 | |
| 2 | 2016 | 62 | |
| 3 | 2015 | 50 | |
| 4 | 2017 | 40 | |
| 5 | 2016 | 27 | |
| 6 | 2020 | 24 | |
| 7 | 2010 | 21 | |
| 8 | 2019 | 20 | |
| 9 | 2018 | 17 | |
| 10 | 2016 | 13 | |
| 11 | 2012 | 11 | |
| 12 | 2023 | 10 | |
| 13 | 2011 | 10 | |
| 14 | 2015 | 9 | |
| 15 | 2014 | 9 | |
| 16 | 2017 | 8 | |
| 17 | 2018 | 6 | |
| 18 | 2017 | 5 | |
| 19 | 2015 | 5 | |
| 20 | 2016 | 4 |
About Min Son
Min Son is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics, Aerospace Engineering, Mechanics of Materials and Electrical and Electronic Engineering, having authored 39 papers that have together received 460 indexed citations. Recurring topics across this work include Rocket and propulsion systems research (24 papers), Advanced Combustion Engine Technologies (19 papers), Combustion and flame dynamics (17 papers), Heat transfer and supercritical fluids (10 papers), Fluid Dynamics and Heat Transfer (6 papers), Electrohydrodynamics and Fluid Dynamics (6 papers), Energetic Materials and Combustion (4 papers) and Computational Fluid Dynamics and Aerodynamics (4 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (171 citations), Computational Mechanics (317 citations), Aerospace Engineering (280 citations), Mechanics of Materials (63 citations) and Electrical and Electronic Engineering (86 citations). Min Son has collaborated with scholars based in South Korea, Germany and Japan. Frequent co-authors include Jaye Koo, Oh Chae Kwon, Youngbin Yoon, Heuy Dong Kim, Jeong Soo Kim, Yoon‐Seok Chang, Dohun Kim, Heejang Moon, Thangaraja Jeyaseelan and Wolfgang Armbruster. Their work appears in journals such as Acta Astronautica, Combustion Science and Technology, Atomization and Sprays, AIAA Journal and Engineering Applications of Artificial Intelligence.
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.