Mun-Cheon Kang
Impact in
- Human-Computer Interaction top 10%
- Gaze Tracking and Assistive Technology
-
- Video Surveillance and Tracking Methods
- Image Enhancement Techniques
- Advanced Vision and Imaging
- Advanced Image Processing Techniques
Papers in
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- Advanced Vision and Imaging 6
- Image Enhancement Techniques 3
- Visual Attention and Saliency Detection 3
- Medical Image Segmentation Techniques 2
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- Gaze Tracking and Assistive Technology 6
- Co-authors
- Sung-Jea Ko (18 shared papers)Jee-Young Sun (7 shared papers)Dongni Zhang (1 shared paper)Jinwoo Yoo (1 shared paper)Jong‐Woo Han (1 shared paper)Seung‐Wook Kim (1 shared paper)Seung-Jun Lee (2 shared papers)Dae-Hwan Kim (2 shared papers)
- Journals
- IEEE Transactions on Consumer Electronics (7 papers)IEEE Access (1 paper)Optical Engineering (1 paper)Electronics Letters (1 paper)Signal Processing Image Communication (1 paper)
- Partner nations
- South KoreaUnited States
In The Last Decade
Mun-Cheon Kang
19 papers receiving 216 citations
Peers
Comparison fields: 5 of 58
- Human-Computer Interaction 46
- Computer Vision and Pattern Recognition 137
- Media Technology 35
- Cognitive Neuroscience 72
- Aerospace Engineering 27
Countries citing papers authored by Mun-Cheon Kang
This map shows the geographic impact of Mun-Cheon Kang'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 Mun-Cheon Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mun-Cheon Kang more than expected).
Fields of papers citing papers by Mun-Cheon Kang
This network shows the impact of papers produced by Mun-Cheon Kang. 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 Mun-Cheon Kang. The network helps show where Mun-Cheon Kang may publish in the future.
Co-authors
The 9 scholars most cited alongside Mun-Cheon Kang, 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 | 2015 | 35 | |
| 2 | 2014 | 32 | |
| 3 | 2013 | 30 | |
| 4 | 2017 | 29 | |
| 5 | 2018 | 20 | |
| 6 | 2017 | 19 | |
| 7 | 2016 | 14 | |
| 8 | 2017 | 7 | |
| 9 | 2020 | 6 | |
| 10 | 2018 | 6 | |
| 11 | 2014 | 6 | |
| 12 | 2018 | 5 | |
| 13 | 2015 | 5 | |
| 14 | 2014 | 4 | |
| 15 | 2018 | 3 | |
| 16 | 2017 | 3 | |
| 17 | 2014 | 2 | |
| 18 | 2016 | 2 | |
| 19 | 2016 | 1 |
About Mun-Cheon Kang
Mun-Cheon Kang is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Cognitive Neuroscience, Media Technology and Aerospace Engineering, having authored 19 papers that have together received 229 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (6 papers), Gaze Tracking and Assistive Technology (6 papers), Tactile and Sensory Interactions (4 papers), Image Enhancement Techniques (3 papers), Visual Attention and Saliency Detection (3 papers), Robotics and Sensor-Based Localization (3 papers), Medical Image Segmentation Techniques (2 papers) and Glaucoma and retinal disorders (2 papers). The work is most often cited by research in Human-Computer Interaction (46 citations), Computer Vision and Pattern Recognition (137 citations), Media Technology (35 citations), Cognitive Neuroscience (72 citations) and Aerospace Engineering (27 citations). Mun-Cheon Kang has collaborated with scholars based in South Korea and United States. Frequent co-authors include Sung-Jea Ko, Jee-Young Sun, Dongni Zhang, Jinwoo Yoo, Jong‐Woo Han, Seung‐Wook Kim, Seung-Jun Lee, Dae-Hwan Kim and Yong-Goo Shin. Their work appears in journals such as IEEE Transactions on Consumer Electronics, IEEE Access, Optical Engineering, Electronics Letters and Signal Processing Image Communication.
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.