Chan-Su Shin
- Computer Graphics and Computer-Aided Design top 2%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Industrial and Manufacturing Engineering top 10%
- Computational Theory and Mathematics
- Co-authors
- Hee-Kap AhnAlexander WolffAntoine VigneronPeter BraßOtfried CheongKyung‐Yong ChwaHyeon-Suk NaTycho Strijk
- Topics
- Computational Geometry and Mesh Generation (29 papers)Data Management and Algorithms (10 papers)Robotic Path Planning Algorithms (8 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignSignal ProcessingIndustrial and Manufacturing Engineering
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Chan-Su Shin
33 papers receiving 184 citations
Peers
Comparison fields: 5 of 45
- Computer Graphics and Computer-Aided Design 124
- Computer Vision and Pattern Recognition 64
- Signal Processing 51
- Industrial and Manufacturing Engineering 32
- Computational Theory and Mathematics 31
Countries citing papers authored by Chan-Su Shin
This map shows the geographic impact of Chan-Su Shin'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 Chan-Su Shin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chan-Su Shin more than expected).
Fields of papers citing papers by Chan-Su Shin
This network shows the impact of papers produced by Chan-Su Shin. 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 Chan-Su Shin. The network helps show where Chan-Su Shin may publish in the future.
Co-authorship network of co-authors of Chan-Su Shin
This figure shows the co-authorship network connecting the top 25 collaborators of Chan-Su Shin. A scholar is included among the top collaborators of Chan-Su Shin 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 Chan-Su Shin. Chan-Su Shin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | Minimum Convex Container of Two Convex Polytopes under Translations. | 1 |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 14 | |
| 13 | 10 | |
| 14 | 13 | |
| 15 | 4 | |
| 16 | 5 | |
| 17 | 6 | |
| 18 | 13 | |
| 19 | Two-Center Problems for a Convex Polygon | 0 |
| 20 | 6 |
About Chan-Su Shin
Chan-Su Shin is a scholar working on Computer Graphics and Computer-Aided Design, Signal Processing and Computer Vision and Pattern Recognition, having authored 37 papers that have together received 196 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (29 papers), Data Management and Algorithms (10 papers) and Robotic Path Planning Algorithms (8 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (124 citations), Signal Processing (51 citations) and Industrial and Manufacturing Engineering (32 citations). Chan-Su Shin has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Hee-Kap Ahn, Alexander Wolff, Antoine Vigneron, Peter Braß, Otfried Cheong, Kyung‐Yong Chwa, Hyeon-Suk Na, Tycho Strijk, Christian Knauer and Takeaki Uno. Their work appears in journals such as Theoretical Computer Science, Lecture notes in computer science and Algorithmica.
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.