Sungha Yoon
Impact in
- Automotive Engineering top 10%
- Brake Systems and Friction Analysis
Papers in
-
- Solidification and crystal growth phenomena 18
- Block Copolymer Self-Assembly 3
-
- Advanced Mathematical Modeling in Engineering 10
- Co-authors
- Junseok Kim (28 shared papers)Chaeyoung Lee (25 shared papers)H. Jang (1 shared paper)Moo Whan Shin (1 shared paper)Hyun‐Dong Kim (9 shared papers)Sangkwon Kim (13 shared papers)Yibao Li (5 shared papers)Jintae Park (8 shared papers)
- Journals
- Numerical Mathematics Theory Methods and Applications (3 papers)International Journal for Numerical Methods in Engineering (2 papers)Communications in Nonlinear Science and Numerical Simulation (2 papers)Theoretical and Computational Fluid Dynamics (2 papers)Symmetry (2 papers)
- Partner nations
- South KoreaChinaRussia
In The Last Decade
Sungha Yoon
32 papers receiving 371 citations
Peers
Comparison fields: 5 of 75
- Automotive Engineering 102
- Numerical Analysis 29
- Computational Mechanics 97
- Computational Theory and Mathematics 74
- Materials Chemistry 155
Countries citing papers authored by Sungha Yoon
This map shows the geographic impact of Sungha Yoon'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 Sungha Yoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sungha Yoon more than expected).
Fields of papers citing papers by Sungha Yoon
This network shows the impact of papers produced by Sungha Yoon. 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 Sungha Yoon. The network helps show where Sungha Yoon may publish in the future.
Co-authors
The 25 scholars most cited alongside Sungha Yoon, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 99 | |
| 2 | 2021 | 47 | |
| 3 | 2020 | 34 | |
| 4 | 2020 | 22 | |
| 5 | 2020 | 18 | |
| 6 | 2020 | 15 | |
| 7 | 2019 | 14 | |
| 8 | 2024 | 13 | |
| 9 | 2022 | 13 | |
| 10 | 2022 | 12 | |
| 11 | 2020 | 8 | |
| 12 | 2021 | 8 | |
| 13 | 2022 | 7 | |
| 14 | 2020 | 7 | |
| 15 | 2018 | 7 | |
| 16 | 2020 | 7 | |
| 17 | 2021 | 5 | |
| 18 | 2021 | 4 | |
| 19 | 2020 | 4 | |
| 20 | 2022 | 4 |
About Sungha Yoon
Sungha Yoon is a scholar working on Materials Chemistry, Computational Theory and Mathematics, Computational Mechanics, Aerospace Engineering and Atmospheric Science, having authored 34 papers that have together received 373 indexed citations. Recurring topics across this work include Solidification and crystal growth phenomena (18 papers), Advanced Mathematical Modeling in Engineering (10 papers), Fluid Dynamics and Thin Films (7 papers), Aluminum Alloy Microstructure Properties (5 papers), nanoparticles nucleation surface interactions (5 papers), Block Copolymer Self-Assembly (3 papers), Advanced Numerical Methods in Computational Mathematics (3 papers) and Mathematical Biology Tumor Growth (2 papers). The work is most often cited by research in Automotive Engineering (102 citations), Numerical Analysis (29 citations), Computational Mechanics (97 citations), Computational Theory and Mathematics (74 citations) and Materials Chemistry (155 citations). Sungha Yoon has collaborated with scholars based in South Korea, China and Russia. Frequent co-authors include Junseok Kim, Chaeyoung Lee, H. Jang, Moo Whan Shin, Hyun‐Dong Kim, Sangkwon Kim, Yibao Li, Jintae Park, Darae Jeong and Hyun Geun Lee. Their work appears in journals such as Numerical Mathematics Theory Methods and Applications, International Journal for Numerical Methods in Engineering, Communications in Nonlinear Science and Numerical Simulation, Theoretical and Computational Fluid Dynamics and Symmetry.
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.