Jung Uk Kim
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Aerospace Engineering
- Media Technology top 5%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Yong Man RoSungjune ParkHak Gu KimHong Joo LeeSangmin LeeSeong Tae KimHyung-Il KimEun Sung Kim
- Topics
- Advanced Neural Network Applications (13 papers)Video Surveillance and Tracking Methods (7 papers)Domain Adaptation and Few-Shot Learning (6 papers)
- Partner nations
- South KoreaGermanyNorway
In The Last Decade
Jung Uk Kim
26 papers receiving 420 citations
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 318
- Artificial Intelligence 123
- Aerospace Engineering 63
- Media Technology 59
- Radiology, Nuclear Medicine and Imaging 39
Countries citing papers authored by Jung Uk Kim
This map shows the geographic impact of Jung Uk Kim'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 Jung Uk Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jung Uk Kim more than expected).
Fields of papers citing papers by Jung Uk Kim
This network shows the impact of papers produced by Jung Uk Kim. 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 Jung Uk Kim. The network helps show where Jung Uk Kim may publish in the future.
Co-authorship network of co-authors of Jung Uk Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Jung Uk Kim. A scholar is included among the top collaborators of Jung Uk Kim 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 Jung Uk Kim. Jung Uk Kim 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 | 3 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 22 | |
| 10 | 40 | |
| 11 | 13 | |
| 12 | 95 | |
| 13 | 2 | |
| 14 | 17 | |
| 15 | 33 | |
| 16 | 40 | |
| 17 | 18 | |
| 18 | The Open Framework for Developing Knowledge Base And Question Answering System | 1 |
| 19 | Accuracy Assessment of 3D Geopositioning of KOMPSAT-2 Images Using Orbit-Attitude Model | 1 |
| 20 | Development and Application of a Rock-forming Mineral Experimental Kit | 1 |
About Jung Uk Kim
Jung Uk Kim is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 31 papers that have together received 430 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (13 papers), Video Surveillance and Tracking Methods (7 papers) and Domain Adaptation and Few-Shot Learning (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (318 citations), Media Technology (59 citations) and Artificial Intelligence (123 citations). Jung Uk Kim has collaborated with scholars based in South Korea, Germany and Norway. Frequent co-authors include Yong Man Ro, Sungjune Park, Hak Gu Kim, Hong Joo Lee, Sangmin Lee, Seong Tae Kim, Hyung-Il Kim, Eun Sung Kim, Hyun Woong Lee and Jae Kyu Kim. Their work appears in journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and IEEE Access.
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.