Seung-Hwan Baek
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 5%
- Biomedical Engineering
- Aerospace Engineering
- Human-Computer Interaction top 10%
- Co-authors
- Min H. KimInchang ChoiDaniel S. JeonDiego GutiérrezIn‐Cheol KimJong-Hwan KimSongcheol HongFelix Heide
- Topics
- Advanced Vision and Imaging (9 papers)Vehicle Dynamics and Control Systems (6 papers)Image Processing Techniques and Applications (6 papers)
- Journals
- IEEE Transactions on Image ProcessingACM Transactions on GraphicsSAE technical papers on CD-ROM/SAE technical paper series
- Partner nations
- South KoreaCanadaUnited States
In The Last Decade
Seung-Hwan Baek
25 papers receiving 381 citations
Peers
Comparison fields: 5 of 57
- Computer Vision and Pattern Recognition 236
- Media Technology 127
- Biomedical Engineering 78
- Aerospace Engineering 64
- Human-Computer Interaction 50
Countries citing papers authored by Seung-Hwan Baek
This map shows the geographic impact of Seung-Hwan Baek'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-Hwan Baek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seung-Hwan Baek more than expected).
Fields of papers citing papers by Seung-Hwan Baek
This network shows the impact of papers produced by Seung-Hwan Baek. 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-Hwan Baek. The network helps show where Seung-Hwan Baek may publish in the future.
Co-authorship network of co-authors of Seung-Hwan Baek
This figure shows the co-authorship network connecting the top 25 collaborators of Seung-Hwan Baek. A scholar is included among the top collaborators of Seung-Hwan Baek 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-Hwan Baek. Seung-Hwan Baek 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 | 3 | |
| 3 | 22 | |
| 4 | 7 | |
| 5 | 77 | |
| 6 | 66 | |
| 7 | Memory-based Realization of Task Intelligence for Robots in Human Environment | 1 |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 8 | |
| 12 | 12 | |
| 13 | 6 | |
| 14 | 5 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 0 | |
| 18 | Yaw Rate Estimation Algorithm of Vehicle Dynamics with the Yaw-Roll Vehicle Model | 0 |
| 19 | Performance Evaluation of the Anti-lock Braking System by comparing Sliding Mode Controller with Commercial Electronic Control Unit | 6 |
| 20 | 14 |
About Seung-Hwan Baek
Seung-Hwan Baek is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Automotive Engineering, having authored 29 papers that have together received 399 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (9 papers), Vehicle Dynamics and Control Systems (6 papers) and Image Processing Techniques and Applications (6 papers). The work is most often cited by research in Media Technology (127 citations), Acoustics and Ultrasonics (13 citations) and Computer Vision and Pattern Recognition (236 citations). Seung-Hwan Baek has collaborated with scholars based in South Korea, Canada and United States. Frequent co-authors include Min H. Kim, Inchang Choi, Daniel S. Jeon, Diego Gutiérrez, In‐Cheol Kim, Jong-Hwan Kim, Songcheol Hong, Felix Heide, Jeonghoon Song and Andréas Meuleman. Their work appears in journals such as IEEE Transactions on Image Processing, ACM Transactions on Graphics and SAE technical papers on CD-ROM/SAE technical paper series.
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.