Minsu Cho
Impact in
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- Advanced Image and Video Retrieval Techniques
- Graph Theory and Algorithms
- Advanced Neural Network Applications
- Image Retrieval and Classification Techniques
- Multimodal Machine Learning Applications
- Signal Processing top 2%
- Data Management and Algorithms
Papers in
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- Advanced Image and Video Retrieval Techniques 22
- Advanced Neural Network Applications 10
- Multimodal Machine Learning Applications 9
- Graph Theory and Algorithms 9
- Image Retrieval and Classification Techniques 8
- Advanced Vision and Imaging 7
- Human Pose and Action Recognition 7
- Co-authors
- Kyoung Mu Lee (14 shared papers)Jean Ponce (10 shared papers)Jungmin Lee (4 shared papers)Cordelia Schmid (7 shared papers)Bumsub Ham (4 shared papers)Gongyu Tang (3 shared papers)Xiaowei Wang (3 shared papers)Ivan Laptev (4 shared papers)
- Journals
- Pattern Recognition Letters (2 papers)Nucleic Acids Research (2 papers)IEEE Robotics and Automation Letters (1 paper)International Journal of Automotive Technology (1 paper)Computer Vision and Image Understanding (1 paper)
- Partner nations
- South KoreaFranceUnited States
In The Last Decade
Minsu Cho
61 papers receiving 2.8k citations
Minsu Cho's Hit Papers
Peers
Comparison fields: 5 of 116
- Computer Vision and Pattern Recognition 2.2k
- Signal Processing 347
- Geology 122
- Artificial Intelligence 726
- Computational Mathematics 12
Countries citing papers authored by Minsu Cho
This map shows the geographic impact of Minsu Cho'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 Minsu Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minsu Cho more than expected).
Fields of papers citing papers by Minsu Cho
This network shows the impact of papers produced by Minsu Cho. 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 Minsu Cho. The network helps show where Minsu Cho may publish in the future.
Co-authors
The 25 scholars most cited alongside Minsu Cho, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Reweighted Random Walks for Graph Matching Hit paper breakdown → | 2010 | 363 |
| 2 | 2021 | 219 | |
| 3 | 2016 | 205 | |
| 4 | 2015 | 173 | |
| 5 | Fast Point Transformer Hit paper breakdown → | 2022 | 158 |
| 6 | 2013 | 145 | |
| 7 | 2011 | 140 | |
| 8 | 2015 | 136 | |
| 9 | 2015 | 120 | |
| 10 | 2012 | 113 | |
| 11 | 2017 | 113 | |
| 12 | 2009 | 101 | |
| 13 | 2014 | 96 | |
| 14 | 2016 | 91 | |
| 15 | 2015 | 77 | |
| 16 | 2018 | 56 | |
| 17 | 2008 | 54 | |
| 18 | 2010 | 50 | |
| 19 | Proposal Flow | 2016 | 49 |
| 20 | 2021 | 48 |
About Minsu Cho
Minsu Cho is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Automotive Engineering and Aerospace Engineering, having authored 66 papers that have together received 2.9k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (22 papers), Advanced Neural Network Applications (10 papers), Multimodal Machine Learning Applications (9 papers), Graph Theory and Algorithms (9 papers), Image Retrieval and Classification Techniques (8 papers), Robotics and Sensor-Based Localization (8 papers), Advanced Vision and Imaging (7 papers) and Human Pose and Action Recognition (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.2k citations), Signal Processing (347 citations), Geology (122 citations), Artificial Intelligence (726 citations) and Computational Mathematics (12 citations). Minsu Cho has collaborated with scholars based in South Korea, France and United States. Frequent co-authors include Kyoung Mu Lee, Jean Ponce, Jungmin Lee, Cordelia Schmid, Bumsub Ham, Gongyu Tang, Xiaowei Wang, Ivan Laptev, Suha Kwak and Vadim Kantorov. Their work appears in journals such as Pattern Recognition Letters, Nucleic Acids Research, IEEE Robotics and Automation Letters, International Journal of Automotive Technology and Computer Vision and Image Understanding.
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.