Minho Lee
Impact in
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- Visual Attention and Saliency Detection
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Human-Computer Interaction top 2%
- Gaze Tracking and Assistive Technology
Papers in
-
- Visual Attention and Saliency Detection 44
- Face and Expression Recognition 28
- Video Surveillance and Tracking Methods 18
- Advanced Image and Video Retrieval Techniques 17
- Co-authors
- Rammohan Mallipeddi (33 shared papers)Jihun Kim (5 shared papers)Sang-Woo Ban (34 shared papers)Amin Jalali (13 shared papers)Gil‐Jin Jang (10 shared papers)Sangwook Kim (10 shared papers)Sungmoon Jeong (11 shared papers)Yong-Hwa Choi (6 shared papers)
- Journals
- Neural Networks (15 papers)Neurocomputing (14 papers)Lecture notes in computer science (61 papers)Expert Systems with Applications (5 papers)IEEE Sensors Journal (3 papers)
- Partner nations
- South KoreaJapanChina
In The Last Decade
Minho Lee
226 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 159
- Computer Vision and Pattern Recognition 1.1k
- Human-Computer Interaction 238
- Cognitive Neuroscience 450
- Artificial Intelligence 786
- Automotive Engineering 258
Countries citing papers authored by Minho Lee
This map shows the geographic impact of Minho Lee'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 Minho Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minho Lee more than expected).
Fields of papers citing papers by Minho Lee
This network shows the impact of papers produced by Minho Lee. 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 Minho Lee. The network helps show where Minho Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Minho Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 233 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 158 | |
| 2 | 2014 | 134 | |
| 3 | 2001 | 105 | |
| 4 | 2018 | 92 | |
| 5 | 2015 | 90 | |
| 6 | 2019 | 88 | |
| 7 | 2019 | 69 | |
| 8 | 2015 | 66 | |
| 9 | 2002 | 62 | |
| 10 | 2002 | 57 | |
| 11 | 2018 | 48 | |
| 12 | 2002 | 47 | |
| 13 | 2008 | 44 | |
| 14 | 2002 | 43 | |
| 15 | 2000 | 43 | |
| 16 | 2017 | 41 | |
| 17 | 2019 | 38 | |
| 18 | 2015 | 38 | |
| 19 | 2016 | 38 | |
| 20 | 2011 | 38 |
About Minho Lee
Minho Lee is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Human-Computer Interaction and Electrical and Electronic Engineering, having authored 233 papers that have together received 3.0k indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (44 papers), Gaze Tracking and Assistive Technology (29 papers), Face and Expression Recognition (28 papers), Visual perception and processing mechanisms (23 papers), Video Surveillance and Tracking Methods (18 papers), Advanced Image and Video Retrieval Techniques (17 papers), EEG and Brain-Computer Interfaces (14 papers) and Color perception and design (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Human-Computer Interaction (238 citations), Cognitive Neuroscience (450 citations), Artificial Intelligence (786 citations) and Automotive Engineering (258 citations). Minho Lee has collaborated with scholars based in South Korea, Japan and China. Frequent co-authors include Rammohan Mallipeddi, Jihun Kim, Sang-Woo Ban, Amin Jalali, Gil‐Jin Jang, Sangwook Kim, Sungmoon Jeong, Yong-Hwa Choi, Zhibin Yu and Sang-Jae Park. Their work appears in journals such as Neural Networks, Neurocomputing, Lecture notes in computer science, Expert Systems with Applications and IEEE Sensors Journal.
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.