Joongkyu Kim
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Media Technology top 5%
- Radiology, Nuclear Medicine and Imaging
- Biomedical Engineering
- Co-authors
- Jonghyun KimGen LiCheolkon JungVarun JampaniDeqing SunLaura Sevilla-LaraQifeng LiuShenlu Jiang
- Topics
- Advanced Vision and Imaging (11 papers)Advanced Image and Video Retrieval Techniques (9 papers)Advanced Image Processing Techniques (8 papers)
- Partner nations
- South KoreaChinaUnited States
In The Last Decade
Joongkyu Kim
28 papers receiving 514 citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 434
- Artificial Intelligence 205
- Media Technology 97
- Radiology, Nuclear Medicine and Imaging 50
- Biomedical Engineering 32
Countries citing papers authored by Joongkyu Kim
This map shows the geographic impact of Joongkyu 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 Joongkyu Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joongkyu Kim more than expected).
Fields of papers citing papers by Joongkyu Kim
This network shows the impact of papers produced by Joongkyu 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 Joongkyu Kim. The network helps show where Joongkyu Kim may publish in the future.
Co-authorship network of co-authors of Joongkyu Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Joongkyu Kim. A scholar is included among the top collaborators of Joongkyu 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 Joongkyu Kim. Joongkyu 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 | 2 | |
| 2 | Adaptive Prototype Learning and Allocation for Few-Shot Segmentationbreakdown → | 276 |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 44 | |
| 6 | DABNet: Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation. | 14 |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 2 | |
| 14 | 10 | |
| 15 | 3 | |
| 16 | 45 | |
| 17 | 5 | |
| 18 | 25 | |
| 19 | Automatic Superimposed Text Localization from Video Using Temporal Information | 4 |
| 20 | Implementation of 3D Player Based on MPEG-4 Using JAVA | 2 |
About Joongkyu Kim
Joongkyu Kim is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 33 papers that have together received 529 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (11 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Advanced Image Processing Techniques (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (434 citations), Media Technology (97 citations) and Artificial Intelligence (205 citations). Joongkyu Kim has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Jonghyun Kim, Gen Li, Cheolkon Jung, Varun Jampani, Deqing Sun, Laura Sevilla-Lara, Qifeng Liu, Shenlu Jiang, Nong‐Moon Hwang and Hongmin Liu. Their work appears in journals such as IEEE Access, Journal of Crystal Growth and Pattern Recognition 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.