Sungwon Cho
Impact in
- Applied Mathematics top 10%
- Nonlinear Partial Differential Equations
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- Numerical methods in inverse problems
Papers in
-
- Nonlinear Partial Differential Equations 12
- Differential Equations and Boundary Problems 4
- Advanced Harmonic Analysis Research 3
-
- Advanced Mathematical Modeling in Engineering 8
- Co-authors
- Tung Bui (2 shared papers)Siva Sankaran (1 shared paper)Grace G. D. Han (3 shared papers)Xiang Li (2 shared papers)Hongjie Dong (2 shared papers)Seick Kim (1 shared paper)Mison Chun (1 shared paper)Hee-Jung Wang (1 shared paper)
- Journals
- Chem (3 papers)Journal of Mathematical Analysis and Applications (3 papers)Journal of Differential Equations (2 papers)Cancer Research and Treatment (1 paper)Information Systems Frontiers (1 paper)
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Sungwon Cho
21 papers receiving 287 citations
Peers
Comparison fields: 5 of 90
- Applied Mathematics 49
- Mathematical Physics 34
- Geophysics 42
- Organizational Behavior and Human Resource Management 32
- Computational Theory and Mathematics 46
Countries citing papers authored by Sungwon Cho
This map shows the geographic impact of Sungwon Cho'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 Sungwon Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sungwon Cho more than expected).
Fields of papers citing papers by Sungwon Cho
This network shows the impact of papers produced by Sungwon Cho. 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 Sungwon Cho. The network helps show where Sungwon Cho may publish in the future.
Co-authors
The 25 scholars most cited alongside Sungwon Cho, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 76 | |
| 2 | 2016 | 43 | |
| 3 | 2023 | 28 | |
| 4 | 2007 | 28 | |
| 5 | 2023 | 27 | |
| 6 | 2024 | 22 | |
| 7 | 2008 | 16 | |
| 8 | 2011 | 13 | |
| 9 | 2006 | 13 | |
| 10 | 2017 | 9 | |
| 11 | 2011 | 6 | |
| 12 | 2003 | 5 | |
| 13 | 2006 | 5 | |
| 14 | 2022 | 3 | |
| 15 | 2018 | 2 | |
| 16 | 2007 | 2 | |
| 17 | 2013 | 2 | |
| 18 | 2011 | 2 | |
| 19 | 2009 | 1 | |
| 20 | 2008 | 1 |
About Sungwon Cho
Sungwon Cho is a scholar working on Applied Mathematics, Computational Theory and Mathematics, Mathematical Physics, Information Systems and Artificial Intelligence, having authored 23 papers that have together received 305 indexed citations. Recurring topics across this work include Nonlinear Partial Differential Equations (12 papers), Advanced Mathematical Modeling in Engineering (8 papers), Numerical methods in inverse problems (6 papers), Differential Equations and Boundary Problems (4 papers), Photochromic and Fluorescence Chemistry (3 papers), Advanced Harmonic Analysis Research (3 papers), earthquake and tectonic studies (2 papers) and Service-Oriented Architecture and Web Services (2 papers). The work is most often cited by research in Applied Mathematics (49 citations), Mathematical Physics (34 citations), Geophysics (42 citations), Organizational Behavior and Human Resource Management (32 citations) and Computational Theory and Mathematics (46 citations). Sungwon Cho has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Tung Bui, Siva Sankaran, Grace G. D. Han, Xiang Li, Hongjie Dong, Seick Kim, Mison Chun, Hee-Jung Wang, Panki Kim and Young‐Taek Oh. Their work appears in journals such as Chem, Journal of Mathematical Analysis and Applications, Journal of Differential Equations, Cancer Research and Treatment and Information Systems Frontiers.
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.