Mun-Cheon Kang
Impact in
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Image Enhancement Techniques
- Human-Computer Interaction top 10%
- Gaze Tracking and Assistive Technology
Papers in
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- Advanced Vision and Imaging 6
- Image Enhancement Techniques 3
- Visual Attention and Saliency Detection 3
- Image and Video Quality Assessment 2
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- Gaze Tracking and Assistive Technology 6
- Co-authors
- Sung-Jea Ko (19 shared papers)Jee-Young Sun (8 shared papers)Seung‐Wook Kim (2 shared papers)Dongni Zhang (1 shared paper)Jinwoo Yoo (1 shared paper)Jong‐Woo Han (1 shared paper)Sungho Lee (1 shared paper)Seung-Jun Lee (2 shared papers)
- Journals
- IEEE Transactions on Consumer Electronics (7 papers)Electronics Letters (1 paper)Optical Engineering (1 paper)IEEE Access (1 paper)Multimedia Tools and Applications (1 paper)
- Partner nations
- South KoreaUnited States
In The Last Decade
Mun-Cheon Kang
20 papers receiving 472 citations
Peers
Comparison fields: 5 of 75
- Computer Vision and Pattern Recognition 351
- Human-Computer Interaction 54
- Media Technology 80
- Cognitive Neuroscience 80
- Aerospace Engineering 64
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 10 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 | 2018 | 246 | |
| 2 | 2015 | 38 | |
| 3 | 2014 | 36 | |
| 4 | 2013 | 35 | |
| 5 | 2017 | 32 | |
| 6 | 2018 | 20 | |
| 7 | 2017 | 18 | |
| 8 | 2016 | 16 | |
| 9 | 2018 | 7 | |
| 10 | 2017 | 7 | |
| 11 | 2020 | 6 | |
| 12 | 2014 | 6 | |
| 13 | 2015 | 5 | |
| 14 | 2014 | 5 | |
| 15 | 2018 | 5 | |
| 16 | 2017 | 3 | |
| 17 | 2018 | 3 | |
| 18 | 2014 | 2 | |
| 19 | 2016 | 2 | |
| 20 | 2016 | 1 |
About Mun-Cheon Kang
Mun-Cheon Kang is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Media Technology, Cognitive Neuroscience and Ophthalmology, having authored 20 papers that have together received 493 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), Image and Video Quality Assessment (2 papers) and Ocular Surface and Contact Lens (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (351 citations), Human-Computer Interaction (54 citations), Media Technology (80 citations), Cognitive Neuroscience (80 citations) and Aerospace Engineering (64 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, Seung‐Wook Kim, Dongni Zhang, Jinwoo Yoo, Jong‐Woo Han, Sungho Lee, Seung-Jun Lee, Dae-Hwan Kim and Yong-Goo Shin. Their work appears in journals such as IEEE Transactions on Consumer Electronics, Electronics Letters, Optical Engineering, IEEE Access and Multimedia Tools and Applications.
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.