Dohyung Kim
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Signal Processing top 10%
- Human-Computer Interaction top 10%
- Co-authors
- Bumsub HamJaeyeon LeeJunghyup LeeJaehong KimKeun-Chang KwakSunhee HwangHyeran ByunSungho Park
- Topics
- Face recognition and analysis (13 papers)Human Pose and Action Recognition (11 papers)Video Surveillance and Tracking Methods (10 papers)
- Partner nations
- South KoreaUnited StatesYemen
In The Last Decade
Dohyung Kim
34 papers receiving 379 citations
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 286
- Artificial Intelligence 116
- Biomedical Engineering 62
- Signal Processing 45
- Human-Computer Interaction 33
Countries citing papers authored by Dohyung Kim
This map shows the geographic impact of Dohyung Kim'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 Dohyung Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dohyung Kim more than expected).
Fields of papers citing papers by Dohyung Kim
This network shows the impact of papers produced by Dohyung Kim. 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 Dohyung Kim. The network helps show where Dohyung Kim may publish in the future.
Co-authorship network of co-authors of Dohyung Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Dohyung Kim. A scholar is included among the top collaborators of Dohyung Kim 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 Dohyung Kim. Dohyung Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 7 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 9 | |
| 7 | 3 | |
| 8 | 21 | |
| 9 | 53 | |
| 10 | 29 | |
| 11 | 2 | |
| 12 | 6 | |
| 13 | 8 | |
| 14 | Multi-modal User Recognition based on Environmental Parameters | 1 |
| 15 | Immersive Virtual Sound for Beyond 5.1 Channel Audio | 1 |
| 16 | 5 | |
| 17 | Bandwidth Extension for Scalable Audio Coding | 0 |
| 18 | 12 | |
| 19 | 0 | |
| 20 | Two - level Concurrency Representation of Control Modules | 1 |
About Dohyung Kim
Dohyung Kim is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Hardware and Architecture, having authored 38 papers that have together received 397 indexed citations. Recurring topics across this work include Face recognition and analysis (13 papers), Human Pose and Action Recognition (11 papers) and Video Surveillance and Tracking Methods (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (286 citations), Human-Computer Interaction (33 citations) and Signal Processing (45 citations). Dohyung Kim has collaborated with scholars based in South Korea, United States and Yemen. Frequent co-authors include Bumsub Ham, Jaeyeon Lee, Junghyup Lee, Jaehong Kim, Keun-Chang Kwak, Sunhee Hwang, Hyeran Byun, Sungho Park, Hosub Yoon and Dong-Hyeon Kim. Their work appears in journals such as IEEE Access, Sensors and IEEE Transactions on Consumer Electronics.
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.