Seungwon Choi
- Control and Systems Engineering top 5%
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 5%
- Computer Networks and Communications top 10%
- Biomedical Engineering
- Co-authors
- Suseong KimH. Jin KimHoseong SeoHyungbo ShimHyeong-Geun KimJongho ShinRaviraj AdveMagdalena Salazar‐Palma
- Topics
- Advanced X-ray and CT Imaging (7 papers)Robotic Path Planning Algorithms (7 papers)Medical Imaging Techniques and Applications (6 papers)
- Cited by
- Computer Vision and Pattern RecognitionControl and Systems EngineeringAerospace Engineering
- Journals
- PLoS ONEIEEE Transactions on Microwave Theory and TechniquesIEEE Transactions on Vehicular Technology
- Partner nations
- South KoreaUnited StatesPoland
In The Last Decade
Seungwon Choi
34 papers receiving 767 citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Control and Systems Engineering 383
- Computer Vision and Pattern Recognition 369
- Aerospace Engineering 359
- Computer Networks and Communications 159
- Biomedical Engineering 108
Countries citing papers authored by Seungwon Choi
This map shows the geographic impact of Seungwon Choi'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 Seungwon Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seungwon Choi more than expected).
Fields of papers citing papers by Seungwon Choi
This network shows the impact of papers produced by Seungwon Choi. 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 Seungwon Choi. The network helps show where Seungwon Choi may publish in the future.
Co-authorship network of co-authors of Seungwon Choi
This figure shows the co-authorship network connecting the top 25 collaborators of Seungwon Choi. A scholar is included among the top collaborators of Seungwon Choi 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 Seungwon Choi. Seungwon Choi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 10 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 73 | |
| 12 | 2 | |
| 13 | 21 | |
| 14 | 9 | |
| 15 | 2 | |
| 16 | 6 | |
| 17 | Loading Assistant Robot System Type III for the Handicapped in Real Manufacturing Environment | 2 |
| 18 | 7 | |
| 19 | 2 | |
| 20 | 4 |
About Seungwon Choi
Seungwon Choi is a scholar working on Aerospace Engineering, Signal Processing and Computer Vision and Pattern Recognition, having authored 40 papers that have together received 797 indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (7 papers), Robotic Path Planning Algorithms (7 papers) and Medical Imaging Techniques and Applications (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (369 citations), Control and Systems Engineering (383 citations) and Aerospace Engineering (359 citations). Seungwon Choi has collaborated with scholars based in South Korea, United States and Poland. Frequent co-authors include Suseong Kim, H. Jin Kim, Hoseong Seo, Hyungbo Shim, Hyeong-Geun Kim, Jongho Shin, Raviraj Adve, Magdalena Salazar‐Palma, Richard A. Schneible and Michael C. Wicks. Their work appears in journals such as PLoS ONE, IEEE Transactions on Microwave Theory and Techniques and IEEE Transactions on Vehicular Technology.
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.