Minsu Cho
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Aerospace Engineering top 5%
- Molecular Biology
- Signal Processing top 5%
- Co-authors
- Kyoung Mu LeeJungmin LeeXiaowei WangGongyu TangJean PonceXiaokang YangHongyuan ZhaStephen M. Chu
- Topics
- Advanced Image and Video Retrieval Techniques (10 papers)Graph Theory and Algorithms (6 papers)Multimodal Machine Learning Applications (5 papers)
- Journals
- Nucleic Acids ResearchIEEE Transactions on Pattern Analysis and Machine IntelligenceCancer Letters
- Partner nations
- South KoreaUnited StatesFrance
In The Last Decade
Minsu Cho
38 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Computer Vision and Pattern Recognition 703
- Artificial Intelligence 226
- Aerospace Engineering 222
- Molecular Biology 176
- Signal Processing 152
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-authorship network of co-authors of Minsu Cho
This figure shows the co-authorship network connecting the top 25 collaborators of Minsu Cho. A scholar is included among the top collaborators of Minsu Cho 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 Minsu Cho. Minsu Cho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 14 | |
| 8 | 13 | |
| 9 | 5 | |
| 10 | 4 | |
| 11 | 7 | |
| 12 | 7 | |
| 13 | 0 | |
| 14 | Fragment Relation Networks for Geometric Shape Assembly | 1 |
| 15 | 5 | |
| 16 | Proposal Flow | 39 |
| 17 | 123 | |
| 18 | 76 | |
| 19 | 101 | |
| 20 | 3 |
About Minsu Cho
Minsu Cho is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Automotive Engineering, having authored 42 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (10 papers), Graph Theory and Algorithms (6 papers) and Multimodal Machine Learning Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (703 citations), Signal Processing (152 citations) and Computational Mathematics (8 citations). Minsu Cho has collaborated with scholars based in South Korea, United States and France. Frequent co-authors include Kyoung Mu Lee, Jungmin Lee, Xiaowei Wang, Gongyu Tang, Jean Ponce, Xiaokang Yang, Hongyuan Zha, Stephen M. Chu, Junchi Yan and Jian Sun. Their work appears in journals such as Nucleic Acids Research, IEEE Transactions on Pattern Analysis and Machine Intelligence and Cancer Letters.
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.