Gyeongmin Choe
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 2%
- Aerospace Engineering
- Computer Graphics and Computer-Aided Design top 5%
- Geology top 10%
- Topics
- Advanced Vision and Imaging (10 papers)Optical measurement and interference techniques (8 papers)3D Surveying and Cultural Heritage (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyComputer Graphics and Computer-Aided Design
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceInternational Journal of Computer VisionIEEE Robotics and Automation Letters
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Gyeongmin Choe
14 papers receiving 553 citations
Hit Papers
Peers
Comparison fields: 5 of 49
- Computer Vision and Pattern Recognition 513
- Media Technology 167
- Aerospace Engineering 77
- Computer Graphics and Computer-Aided Design 48
- Geology 32
Countries citing papers authored by Gyeongmin Choe
This map shows the geographic impact of Gyeongmin Choe'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 Gyeongmin Choe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gyeongmin Choe more than expected).
Fields of papers citing papers by Gyeongmin Choe
This network shows the impact of papers produced by Gyeongmin Choe. 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 Gyeongmin Choe. The network helps show where Gyeongmin Choe may publish in the future.
Co-authorship network of co-authors of Gyeongmin Choe
This figure shows the co-authorship network connecting the top 25 collaborators of Gyeongmin Choe. A scholar is included among the top collaborators of Gyeongmin Choe 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 Gyeongmin Choe. Gyeongmin Choe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 15 | |
| 4 | 29 | |
| 5 | 81 | |
| 6 | 23 | |
| 7 | 4 | |
| 8 | 23 | |
| 9 | 12 | |
| 10 | Accurate depth map estimation from a lenslet light field camerabreakdown → | 297 |
| 11 | 28 | |
| 12 | 13 | |
| 13 | 3 | |
| 14 | 28 |
About Gyeongmin Choe
Gyeongmin Choe is a scholar working on Geology, Computer Vision and Pattern Recognition and Media Technology, having authored 14 papers that have together received 561 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (10 papers), Optical measurement and interference techniques (8 papers) and 3D Surveying and Cultural Heritage (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (513 citations), Media Technology (167 citations) and Computer Graphics and Computer-Aided Design (48 citations). Gyeongmin Choe has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include In So Kweon, Yu‐Wing Tai, Jaesik Park, Hae‐Gon Jeon, Jinsun Park, Yunsu Bok, Sunghoon Im, Hyowon Ha, Srinivasa G. Narasimhan and Kyungdon Joo. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and IEEE Robotics and Automation 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.