Jonghyun Kim
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Media Technology top 5%
- Statistics, Probability and Uncertainty top 5%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Gen LiJoongkyu KimVarun JampaniDeqing SunLaura Sevilla-LaraCheolkon JungShenlu JiangPoong Hyun Seong
- Topics
- Risk and Safety Analysis (5 papers)Advanced Vision and Imaging (5 papers)Advanced Image Processing Techniques (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyStatistics, Probability and Uncertainty
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Jonghyun Kim
25 papers receiving 554 citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Computer Vision and Pattern Recognition 345
- Artificial Intelligence 222
- Media Technology 70
- Statistics, Probability and Uncertainty 56
- Radiology, Nuclear Medicine and Imaging 52
Countries citing papers authored by Jonghyun Kim
This map shows the geographic impact of Jonghyun 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 Jonghyun Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonghyun Kim more than expected).
Fields of papers citing papers by Jonghyun Kim
This network shows the impact of papers produced by Jonghyun 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 Jonghyun Kim. The network helps show where Jonghyun Kim may publish in the future.
Co-authorship network of co-authors of Jonghyun Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Jonghyun Kim. A scholar is included among the top collaborators of Jonghyun 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 Jonghyun Kim. Jonghyun 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 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 40 | |
| 7 | 0 | |
| 8 | Adaptive Prototype Learning and Allocation for Few-Shot Segmentationbreakdown → | 276 |
| 9 | 16 | |
| 10 | 0 | |
| 11 | 9 | |
| 12 | 0 | |
| 13 | 44 | |
| 14 | DABNet: Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation. | 14 |
| 15 | 12 | |
| 16 | A study of extended processor trace decoder structure for malicious code detection | 0 |
| 17 | 16 | |
| 18 | 11 | |
| 19 | 2 | |
| 20 | 4 |
About Jonghyun Kim
Jonghyun Kim is a scholar working on Computer Vision and Pattern Recognition, Radiological and Ultrasound Technology and Statistics, Probability and Uncertainty, having authored 31 papers that have together received 561 indexed citations. Recurring topics across this work include Risk and Safety Analysis (5 papers), Advanced Vision and Imaging (5 papers) and Advanced Image Processing Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (345 citations), Media Technology (70 citations) and Statistics, Probability and Uncertainty (56 citations). Jonghyun Kim has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Gen Li, Joongkyu Kim, Varun Jampani, Deqing Sun, Laura Sevilla-Lara, Cheolkon Jung, Shenlu Jiang, Poong Hyun Seong, Hyung‐Soon Park and Thomas C. Bulea. Their work appears in journals such as IEEE Access, Sensors and Pattern Recognition.
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.