Kyo-Joong Oh
- Applied Psychology top 5%
- Digital Mental Health Interventions 3
- Artificial Intelligence top 5%
- Topic Modeling 7
- Natural Language Processing Techniques 5
- Advanced Text Analysis Techniques 4
- Speech and dialogue systems 3
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- Context-Aware Activity Recognition Systems 3
- Information Systems top 10%
- Web Data Mining and Analysis 3
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- Mental Health via Writing 3
- Co-authors
- Ho‐Jin ChoiByungsoo KoDong Kun LeeDongkeon LeeYoung-Seob JeongGahgene GweonChan-Yong ParkSung-Suk Kim
- Journals
- Sensors (1 paper)BMC Medical Informatics and Decision Making (1 paper)Data & Knowledge Engineering (1 paper)
- Partner nations
- South KoreaAustraliaUnited Arab Emirates
In The Last Decade
Kyo-Joong Oh
19 papers receiving 355 citations
Peers
Comparison fields: 5 of 64
- Applied Psychology 89
- Artificial Intelligence 224
- Health Informatics 9
- Computer Vision and Pattern Recognition 69
- Information Systems 70
Countries citing papers authored by Kyo-Joong Oh
This map shows the geographic impact of Kyo-Joong 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 Kyo-Joong Oh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyo-Joong Oh more than expected).
Fields of papers citing papers by Kyo-Joong Oh
This network shows the impact of papers produced by Kyo-Joong 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 Kyo-Joong Oh. The network helps show where Kyo-Joong Oh may publish in the future.
Co-authorship network
The 13 scholars most cited alongside Kyo-Joong 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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 10 | |
| 2 | 2019 | 0 | |
| 3 | Out-of-Domain Detection Based on Sentence Distance for Dialogue System | 2018 | 1 |
| 4 | 2018 | 7 | |
| 5 | 2018 | 19 | |
| 6 | 2017 | 151 | |
| 7 | 2017 | 7 | |
| 8 | 2017 | 2 | |
| 9 | 2017 | 30 | |
| 10 | 2017 | 2 | |
| 11 | 2017 | 63 | |
| 12 | 2017 | 1 | |
| 13 | 2016 | 4 | |
| 14 | 2016 | 6 | |
| 15 | 2015 | 4 | |
| 16 | 2014 | 29 | |
| 17 | 2014 | 29 | |
| 18 | Research trend analysis using word similarities and clusters | 2013 | 8 |
| 19 | 2011 | 1 | |
| 20 | 2011 | 1 |
About Kyo-Joong Oh
Kyo-Joong Oh is a scholar working on Applied Psychology, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 386 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Natural Language Processing Techniques (5 papers), Advanced Text Analysis Techniques (4 papers), Speech and dialogue systems (3 papers), Web Data Mining and Analysis (3 papers), Mental Health via Writing (3 papers), Digital Mental Health Interventions (3 papers) and Context-Aware Activity Recognition Systems (3 papers). The work is most often cited by research in Applied Psychology (89 citations), Artificial Intelligence (224 citations) and Health Informatics (9 citations). Kyo-Joong Oh has collaborated with scholars based in South Korea, Australia and United Arab Emirates. Frequent co-authors include Ho‐Jin Choi, Byungsoo Ko, Dong Kun Lee, Dongkeon Lee, Young-Seob Jeong, Gahgene Gweon, Chan-Yong Park, Sung-Suk Kim, You Jin Kim and Seung Ho Han. Their work appears in journals such as Sensors, BMC Medical Informatics and Decision Making and Data & Knowledge Engineering.
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.