Seung Jun Chang
- Applied Mathematics top 2%
- Mathematical Physics top 5%
- Computational Theory and Mathematics top 5%
- Finance top 10%
- Statistics, Probability and Uncertainty top 5%
- Topics
- Algebraic and Geometric Analysis (42 papers)advanced mathematical theories (23 papers)Mathematical Analysis and Transform Methods (16 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Mathematical Analysis and ApplicationsTransactions of the American Mathematical Society
- Partner nations
- South KoreaUnited StatesTaiwan
In The Last Decade
Seung Jun Chang
62 papers receiving 390 citations
Peers
Comparison fields: 5 of 36
- Applied Mathematics 294
- Mathematical Physics 237
- Computational Theory and Mathematics 119
- Finance 68
- Statistics, Probability and Uncertainty 67
Countries citing papers authored by Seung Jun Chang
This map shows the geographic impact of Seung Jun Chang'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 Seung Jun Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seung Jun Chang more than expected).
Fields of papers citing papers by Seung Jun Chang
This network shows the impact of papers produced by Seung Jun Chang. 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 Seung Jun Chang. The network helps show where Seung Jun Chang may publish in the future.
Co-authorship network of co-authors of Seung Jun Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Seung Jun Chang. A scholar is included among the top collaborators of Seung Jun Chang 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 Seung Jun Chang. Seung Jun Chang 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 | 1 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | Integration formulas for the conditional transform involving the first variation | 4 |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 9 | |
| 13 | 10 | |
| 14 | 1 | |
| 15 | 11 | |
| 16 | 2 | |
| 17 | 11 | |
| 18 | 21 | |
| 19 | 13 | |
| 20 | 41 |
About Seung Jun Chang
Seung Jun Chang is a scholar working on Applied Mathematics, Mathematical Physics and Statistics, Probability and Uncertainty, having authored 68 papers that have together received 439 indexed citations. Recurring topics across this work include Algebraic and Geometric Analysis (42 papers), advanced mathematical theories (23 papers) and Mathematical Analysis and Transform Methods (16 papers). The work is most often cited by research in Applied Mathematics (294 citations), Mathematical Physics (237 citations) and Discrete Mathematics and Combinatorics (42 citations). Seung Jun Chang has collaborated with scholars based in South Korea, United States and Taiwan. Frequent co-authors include David Skoug, Dong Myung Chung, Hyun Soo Chung, Chull Park, Sang-Deok Lee and Vu Kim Tuan. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Mathematical Analysis and Applications and Transactions of the American Mathematical Society.
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.