Seongwon Kang
- Computational Mechanics top 1%
- Aerospace Engineering top 5%
- Biomedical Engineering
- Fluid Flow and Transfer Processes top 2%
- Mechanical Engineering top 10%
- Co-authors
- Heinz PitschNahmkeon HurGianluca IaccarinoFrank HamParviz MoinR. P. RoyMathis BodeHaecheon Choi
- Topics
- Combustion and flame dynamics (22 papers)Fluid Dynamics and Turbulent Flows (14 papers)Advanced Combustion Engine Technologies (12 papers)
- Cited by
- Computational MechanicsFluid Flow and Transfer ProcessesSafety, Risk, Reliability and Quality
- Journals
- Journal of Fluid MechanicsJournal of Computational PhysicsInternational Journal of Hydrogen Energy
- Partner nations
- South KoreaGermanyUnited States
In The Last Decade
Seongwon Kang
56 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 67
- Computational Mechanics 790
- Aerospace Engineering 397
- Biomedical Engineering 241
- Fluid Flow and Transfer Processes 234
- Mechanical Engineering 213
Countries citing papers authored by Seongwon Kang
This map shows the geographic impact of Seongwon Kang'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 Seongwon Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seongwon Kang more than expected).
Fields of papers citing papers by Seongwon Kang
This network shows the impact of papers produced by Seongwon Kang. 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 Seongwon Kang. The network helps show where Seongwon Kang may publish in the future.
Co-authorship network of co-authors of Seongwon Kang
This figure shows the co-authorship network connecting the top 25 collaborators of Seongwon Kang. A scholar is included among the top collaborators of Seongwon Kang 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 Seongwon Kang. Seongwon Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 46 | |
| 5 | 28 | |
| 6 | 3 | |
| 7 | 10 | |
| 8 | 22 | |
| 9 | 22 | |
| 10 | 113 | |
| 11 | 2 | |
| 12 | 30 | |
| 13 | 1 | |
| 14 | 56 | |
| 15 | 11 | |
| 16 | An improved immersed boundary method for computation of turbulent flows with heat transfer | 13 |
| 17 | Predicting Pressure Fluctuations in Large Eddy Simulations Using the Immersed Boundary Method | 1 |
| 18 | 20 | |
| 19 | 29 | |
| 20 | A model study of heat transfer and fluid flow in slag-cleaning furnaces | 2 |
About Seongwon Kang
Seongwon Kang is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Safety, Risk, Reliability and Quality, having authored 60 papers that have together received 1.1k indexed citations. Recurring topics across this work include Combustion and flame dynamics (22 papers), Fluid Dynamics and Turbulent Flows (14 papers) and Advanced Combustion Engine Technologies (12 papers). The work is most often cited by research in Computational Mechanics (790 citations), Fluid Flow and Transfer Processes (234 citations) and Safety, Risk, Reliability and Quality (199 citations). Seongwon Kang has collaborated with scholars based in South Korea, Germany and United States. Frequent co-authors include Heinz Pitsch, Nahmkeon Hur, Gianluca Iaccarino, Frank Ham, Parviz Moin, R. P. Roy, Mathis Bode, Haecheon Choi, Sang Hyuk Lee and Hyorim Lee. Their work appears in journals such as Journal of Fluid Mechanics, Journal of Computational Physics and International Journal of Hydrogen Energy.
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.