Sejong Oh
Impact in
- Ophthalmology top 5%
- Glaucoma and retinal disorders
- Artificial Intelligence top 2%
- Cryptography and Data Security
- Security and Verification in Computing
Papers in
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- Cryptography and Data Security 6
- Security and Verification in Computing 6
- Machine Learning and Data Classification 5
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- Gene expression and cancer classification 10
- Co-authors
- Ravi Sandhu (3 shared papers)Seog Park (6 shared papers)Seong-Jae Kim (3 shared papers)Kyong Jin Cho (4 shared papers)Xinwen Zhang (2 shared papers)Jin Seo Park (1 shared paper)Sang-Bum Lee (3 shared papers)Minseok Seo (3 shared papers)
- Journals
- Applied Sciences (4 papers)PLoS ONE (3 papers)PeerJ Computer Science (2 papers)BMC Bioinformatics (2 papers)Synthetic Metals (2 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Sejong Oh
60 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 148
- Ophthalmology 130
- Artificial Intelligence 508
- Health Information Management 59
- Information Systems 259
- Sociology and Political Science 383
Countries citing papers authored by Sejong Oh
This map shows the geographic impact of Sejong Oh'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 Oh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sejong Oh more than expected).
Fields of papers citing papers by Sejong Oh
This network shows the impact of papers produced by Sejong Oh. 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 Oh. The network helps show where Sejong Oh may publish in the future.
Co-authors
The 25 scholars most cited alongside Sejong Oh, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 186 | |
| 2 | 2020 | 174 | |
| 3 | 2002 | 144 | |
| 4 | 2003 | 125 | |
| 5 | 2012 | 87 | |
| 6 | 2002 | 79 | |
| 7 | 1995 | 59 | |
| 8 | 2019 | 56 | |
| 9 | 2021 | 52 | |
| 10 | 2011 | 45 | |
| 11 | 2006 | 42 | |
| 12 | 2014 | 38 | |
| 13 | 2022 | 35 | |
| 14 | 2019 | 34 | |
| 15 | 2000 | 29 | |
| 16 | 2011 | 25 | |
| 17 | 2023 | 21 | |
| 18 | 2012 | 21 | |
| 19 | 2012 | 21 | |
| 20 | 1995 | 19 |
About Sejong Oh
Sejong Oh is a scholar working on Artificial Intelligence, Molecular Biology, Sociology and Political Science, Computer Vision and Pattern Recognition and Information Systems, having authored 63 papers that have together received 1.5k indexed citations. Recurring topics across this work include Access Control and Trust (12 papers), Gene expression and cancer classification (10 papers), Cryptography and Data Security (6 papers), Security and Verification in Computing (6 papers), Face and Expression Recognition (5 papers), Machine Learning and Data Classification (5 papers), Visual Attention and Saliency Detection (4 papers) and Glaucoma and retinal disorders (4 papers). The work is most often cited by research in Ophthalmology (130 citations), Artificial Intelligence (508 citations), Health Information Management (59 citations), Information Systems (259 citations) and Sociology and Political Science (383 citations). Sejong Oh has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Ravi Sandhu, Seog Park, Seong-Jae Kim, Kyong Jin Cho, Xinwen Zhang, Jin Seo Park, Sang-Bum Lee, Minseok Seo, Kazuo Akagi and Hiromasa Goto. Their work appears in journals such as Applied Sciences, PLoS ONE, PeerJ Computer Science, BMC Bioinformatics and Synthetic Metals.
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.