Da-Mi Jeong
Impact in
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- Emotion and Mood Recognition
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- Face and Expression Recognition
- Face recognition and analysis
- Video Surveillance and Tracking Methods
- Advanced Image Processing Techniques
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
Papers in
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- Face and Expression Recognition 2
- Face recognition and analysis 2
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- Emotion and Mood Recognition 2
- Co-authors
- Byung‐Gyu Kim (4 shared papers)Ji‐Hae Kim (2 shared papers)Partha Pratim Roy (1 shared paper)Suh-Yeon Dong (1 shared paper)Mayumi Ono (1 shared paper)Chiaki Tanaka (1 shared paper)Keiichi Koizumi (1 shared paper)Ikuo Saiki (1 shared paper)
- Journals
- Biological and Pharmaceutical Bulletin (1 paper)IEEE Access (1 paper)Sensors (1 paper)Fibers and Polymers (1 paper)Journal of Raptor Research (1 paper)
- Partner nations
- South KoreaIndiaJapan
In The Last Decade
Da-Mi Jeong
7 papers receiving 339 citations
Peers
Comparison fields: 5 of 88
- Experimental and Cognitive Psychology 141
- Computer Vision and Pattern Recognition 208
- Human-Computer Interaction 22
- Signal Processing 32
- Urban Studies 13
Countries citing papers authored by Da-Mi Jeong
This map shows the geographic impact of Da-Mi Jeong'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 Da-Mi Jeong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da-Mi Jeong more than expected).
Fields of papers citing papers by Da-Mi Jeong
This network shows the impact of papers produced by Da-Mi Jeong. 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 Da-Mi Jeong. The network helps show where Da-Mi Jeong may publish in the future.
Co-authors
The 21 scholars most cited alongside Da-Mi Jeong, 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 | 2019 | 232 | |
| 2 | 2020 | 80 | |
| 3 | 2013 | 15 | |
| 4 | 2015 | 12 | |
| 5 | 2013 | 7 | |
| 6 | 2013 | 7 | |
| 7 | 2018 | 3 | |
| 8 | 2017 | 0 |
About Da-Mi Jeong
Da-Mi Jeong is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Molecular Biology, Ecology and Oncology, having authored 8 papers that have together received 356 indexed citations. Recurring topics across this work include Face and Expression Recognition (2 papers), Face recognition and analysis (2 papers), Emotion and Mood Recognition (2 papers), Angiogenesis and VEGF in Cancer (1 paper), Computational and Text Analysis Methods (1 paper), Lignin and Wood Chemistry (1 paper), Species Distribution and Climate Change (1 paper) and Wildlife Ecology and Conservation (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (141 citations), Computer Vision and Pattern Recognition (208 citations), Human-Computer Interaction (22 citations), Signal Processing (32 citations) and Urban Studies (13 citations). Da-Mi Jeong has collaborated with scholars based in South Korea, India and Japan. Frequent co-authors include Byung‐Gyu Kim, Ji‐Hae Kim, Partha Pratim Roy, Suh-Yeon Dong, Mayumi Ono, Chiaki Tanaka, Keiichi Koizumi, Ikuo Saiki, Ryuichi Higuchi and Seungtaek Oh. Their work appears in journals such as Biological and Pharmaceutical Bulletin, IEEE Access, Sensors, Fibers and Polymers and Journal of Raptor Research.
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.