Dong‐Geol Choi
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Biomedical Engineering
- Geology top 10%
- Artificial Intelligence
- Topics
- Robotics and Sensor-Based Localization (17 papers)Advanced Vision and Imaging (12 papers)Domain Adaptation and Few-Shot Learning (8 papers)
- Partner nations
- South KoreaUnited StatesFrance
In The Last Decade
Dong‐Geol Choi
32 papers receiving 409 citations
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 239
- Aerospace Engineering 168
- Biomedical Engineering 68
- Geology 60
- Artificial Intelligence 53
Countries citing papers authored by Dong‐Geol Choi
This map shows the geographic impact of Dong‐Geol Choi'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 Dong‐Geol Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong‐Geol Choi more than expected).
Fields of papers citing papers by Dong‐Geol Choi
This network shows the impact of papers produced by Dong‐Geol Choi. 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 Dong‐Geol Choi. The network helps show where Dong‐Geol Choi may publish in the future.
Co-authorship network of co-authors of Dong‐Geol Choi
This figure shows the co-authorship network connecting the top 25 collaborators of Dong‐Geol Choi. A scholar is included among the top collaborators of Dong‐Geol Choi 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 Dong‐Geol Choi. Dong‐Geol Choi 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 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 7 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 11 | |
| 10 | 3 | |
| 11 | 0 | |
| 12 | 7 | |
| 13 | 6 | |
| 14 | 31 | |
| 15 | 42 | |
| 16 | 36 | |
| 17 | 7 | |
| 18 | 7 | |
| 19 | 3 | |
| 20 | 3DOF Endoscope with Spring Backbone and Wires | 1 |
About Dong‐Geol Choi
Dong‐Geol Choi is a scholar working on Computer Vision and Pattern Recognition, Geology and Aerospace Engineering, having authored 37 papers that have together received 423 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (17 papers), Advanced Vision and Imaging (12 papers) and Domain Adaptation and Few-Shot Learning (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (239 citations), Geology (60 citations) and Instrumentation (36 citations). Dong‐Geol Choi has collaborated with scholars based in South Korea, United States and France. Frequent co-authors include In So Kweon, Yunsu Bok, Byung‐Ju Yi, Jun-Sik Kim, Jongchan Park, Tae-Hyun Oh, Inwook Shim, Jaesik Park, Jinwook Choi and Joon‐Young Lee. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and Sensors.
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.