Young‐Woo Seo
- Computer Vision and Pattern Recognition top 5%
- Automotive Engineering top 5%
- Aerospace Engineering top 10%
- Artificial Intelligence top 10%
- Environmental Engineering top 10%
- Co-authors
- Ragunathan RajkumarB. V. K. Vijaya KumarHyunggi ChoByoung‐Tak ZhangDavid WettergreenChris UrmsonJongho LeeC. Urmson
- Topics
- Video Surveillance and Tracking Methods (11 papers)Autonomous Vehicle Technology and Safety (9 papers)Remote Sensing and LiDAR Applications (8 papers)
- Journals
- IEEE Transactions on Intelligent Transportation SystemsJournal of Field RoboticsApplied Artificial Intelligence
- Partner nations
- United StatesSouth KoreaTaiwan
In The Last Decade
Young‐Woo Seo
28 papers receiving 651 citations
Peers
Comparison fields: 5 of 74
- Computer Vision and Pattern Recognition 331
- Automotive Engineering 209
- Aerospace Engineering 179
- Artificial Intelligence 141
- Environmental Engineering 108
Countries citing papers authored by Young‐Woo Seo
This map shows the geographic impact of Young‐Woo Seo'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 Young‐Woo Seo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young‐Woo Seo more than expected).
Fields of papers citing papers by Young‐Woo Seo
This network shows the impact of papers produced by Young‐Woo Seo. 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 Young‐Woo Seo. The network helps show where Young‐Woo Seo may publish in the future.
Co-authorship network of co-authors of Young‐Woo Seo
This figure shows the co-authorship network connecting the top 25 collaborators of Young‐Woo Seo. A scholar is included among the top collaborators of Young‐Woo Seo 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 Young‐Woo Seo. Young‐Woo Seo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 8 | |
| 3 | 4 | |
| 4 | Detection and tracking of boundary of unmarked roads | 14 |
| 5 | 306 | |
| 6 | 7 | |
| 7 | 31 | |
| 8 | 19 | |
| 9 | 9 | |
| 10 | 8 | |
| 11 | 4 | |
| 12 | 5 | |
| 13 | Self-supervised aerial image analysis for extracting parking lot structure | 8 |
| 14 | 4 | |
| 15 | 18 | |
| 16 | 15 | |
| 17 | 3 | |
| 18 | 34 | |
| 19 | 45 | |
| 20 | 48 |
About Young‐Woo Seo
Young‐Woo Seo is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Environmental Engineering, having authored 28 papers that have together received 681 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (11 papers), Autonomous Vehicle Technology and Safety (9 papers) and Remote Sensing and LiDAR Applications (8 papers). The work is most often cited by research in Automotive Engineering (209 citations), Computer Vision and Pattern Recognition (331 citations) and Instrumentation (33 citations). Young‐Woo Seo has collaborated with scholars based in United States, South Korea and Taiwan. Frequent co-authors include Ragunathan Rajkumar, B. V. K. Vijaya Kumar, Hyunggi Cho, Byoung‐Tak Zhang, David Wettergreen, Chris Urmson, Jongho Lee, C. Urmson, Wende Zhang and Burak Uzkent. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Journal of Field Robotics and Applied Artificial Intelligence.
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.