Sanghoon Sull
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 5%
- Automotive Engineering top 10%
- Artificial Intelligence
- Media Technology top 5%
- Co-authors
- Hyun Sung ChangSang Uk LeeChang‐Su KimSungjoo SuhTae‐Young ChungNarendra AhujaB. SridharWaleed Aldhahi
- Topics
- Advanced Vision and Imaging (23 papers)Video Coding and Compression Technologies (16 papers)Video Analysis and Summarization (11 papers)
- Partner nations
- South KoreaUnited StatesSaudi Arabia
In The Last Decade
Sanghoon Sull
54 papers receiving 663 citations
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 570
- Signal Processing 212
- Automotive Engineering 111
- Artificial Intelligence 85
- Media Technology 70
Countries citing papers authored by Sanghoon Sull
This map shows the geographic impact of Sanghoon Sull'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 Sanghoon Sull with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanghoon Sull more than expected).
Fields of papers citing papers by Sanghoon Sull
This network shows the impact of papers produced by Sanghoon Sull. 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 Sanghoon Sull. The network helps show where Sanghoon Sull may publish in the future.
Co-authorship network of co-authors of Sanghoon Sull
This figure shows the co-authorship network connecting the top 25 collaborators of Sanghoon Sull. A scholar is included among the top collaborators of Sanghoon Sull 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 Sanghoon Sull. Sanghoon Sull 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 | 0 | |
| 3 | 12 | |
| 4 | 10 | |
| 5 | 8 | |
| 6 | 116 | |
| 7 | 17 | |
| 8 | 10 | |
| 9 | 3 | |
| 10 | 4 | |
| 11 | 4 | |
| 12 | Image Preprocessing for Camera Phone Based Text Recognition | 2 |
| 13 | 7 | |
| 14 | Design of Multiple-symbol Lookup Table for Fast Thumbnail Generation in Compressed Domain | 1 |
| 15 | Real-Time Video Indexing System for Live Digital Broadcast TV Programs | 1 |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 14 | |
| 19 | 2 | |
| 20 | 157 |
About Sanghoon Sull
Sanghoon Sull is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 57 papers that have together received 708 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (23 papers), Video Coding and Compression Technologies (16 papers) and Video Analysis and Summarization (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (570 citations), Signal Processing (212 citations) and Automotive Engineering (111 citations). Sanghoon Sull has collaborated with scholars based in South Korea, United States and Saudi Arabia. Frequent co-authors include Hyun Sung Chang, Sang Uk Lee, Chang‐Su Kim, Sungjoo Suh, Tae‐Young Chung, Narendra Ahuja, B. Sridhar, Waleed Aldhahi, Hyung-Seok Choi and Xiaoming Zhu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and Sensors.
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.