Sejong Yoon
Impact in
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- Visual Attention and Saliency Detection
- Image Retrieval and Classification Techniques
- Video Surveillance and Tracking Methods
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- Autonomous Vehicle Technology and Safety
Papers in
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- Video Surveillance and Tracking Methods 7
- Visual Attention and Saliency Detection 4
- Image Retrieval and Classification Techniques 4
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- AI in cancer detection 6
- Anomaly Detection Techniques and Applications 5
- Co-authors
- Vladimir Pavlović (22 shared papers)Saejoon Kim (7 shared papers)Mubbasir Kapadia (13 shared papers)Chang‐Kyu Song (2 shared papers)Jong-Pil Kim (2 shared papers)Mihee Lee (3 shared papers)Petros Faloutsos (2 shared papers)Seonghyeon Moon (1 shared paper)
- Journals
- Computers & Graphics (2 papers)Pattern Recognition Letters (1 paper)BMC Medical Informatics and Decision Making (1 paper)Soft Computing (1 paper)Lecture notes in computer science (4 papers)
- Partner nations
- United StatesNetherlandsSouth Korea
In The Last Decade
Sejong Yoon
34 papers receiving 358 citations
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 159
- Automotive Engineering 55
- Artificial Intelligence 127
- Safety, Risk, Reliability and Quality 27
- Building and Construction 34
Countries citing papers authored by Sejong Yoon
This map shows the geographic impact of Sejong Yoon'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 Sejong Yoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sejong Yoon more than expected).
Fields of papers citing papers by Sejong Yoon
This network shows the impact of papers produced by Sejong Yoon. 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 Sejong Yoon. The network helps show where Sejong Yoon may publish in the future.
Co-authors
The 16 scholars most cited alongside Sejong Yoon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 50 | |
| 2 | 2016 | 43 | |
| 3 | 2009 | 40 | |
| 4 | 2009 | 34 | |
| 5 | 2013 | 25 | |
| 6 | 2016 | 22 | |
| 7 | 2023 | 18 | |
| 8 | 2020 | 15 | |
| 9 | 2020 | 13 | |
| 10 | 2009 | 12 | |
| 11 | 2008 | 11 | |
| 12 | 2014 | 10 | |
| 13 | 2022 | 8 | |
| 14 | 2007 | 7 | |
| 15 | Distributed Probabilistic Learning for Camera Networks with Missing Data | 2012 | 7 |
| 16 | 2017 | 7 | |
| 17 | 2016 | 5 | |
| 18 | 2018 | 5 | |
| 19 | 2018 | 4 | |
| 20 | 2016 | 4 |
About Sejong Yoon
Sejong Yoon is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Automotive Engineering and Ocean Engineering, having authored 36 papers that have together received 373 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (7 papers), Gene expression and cancer classification (6 papers), Evacuation and Crowd Dynamics (6 papers), AI in cancer detection (6 papers), Autonomous Vehicle Technology and Safety (5 papers), Anomaly Detection Techniques and Applications (5 papers), Visual Attention and Saliency Detection (4 papers) and Image Retrieval and Classification Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (159 citations), Automotive Engineering (55 citations), Artificial Intelligence (127 citations), Safety, Risk, Reliability and Quality (27 citations) and Building and Construction (34 citations). Sejong Yoon has collaborated with scholars based in United States, Netherlands and South Korea. Frequent co-authors include Vladimir Pavlović, Saejoon Kim, Mubbasir Kapadia, Chang‐Kyu Song, Jong-Pil Kim, Mihee Lee, Petros Faloutsos, Seonghyeon Moon, Gang Qiao and Muhammad Haris Khan. Their work appears in journals such as Computers & Graphics, Pattern Recognition Letters, BMC Medical Informatics and Decision Making, Soft Computing and Lecture notes in computer science.
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.