Kimin Yun
- Computer Vision and Pattern Recognition top 1%
- Aerospace Engineering top 10%
- Artificial Intelligence top 10%
- Safety, Risk, Reliability and Quality top 5%
- Electrical and Electronic Engineering
- Co-authors
- Jin Young ChoiSangdoo YunYoungjoon YooJongwon ChoiSoo Wan KimKwang Moo YiJongyoul ParkJin‐Young Choi
- Topics
- Video Surveillance and Tracking Methods (21 papers)Human Pose and Action Recognition (13 papers)Advanced Vision and Imaging (9 papers)
- Cited by
- Computer Vision and Pattern RecognitionSafety, Risk, Reliability and QualityAerospace Engineering
- Partner nations
- South KoreaSwitzerland
In The Last Decade
Kimin Yun
28 papers receiving 762 citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 698
- Aerospace Engineering 156
- Artificial Intelligence 150
- Safety, Risk, Reliability and Quality 94
- Electrical and Electronic Engineering 63
Countries citing papers authored by Kimin Yun
This map shows the geographic impact of Kimin Yun'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 Kimin Yun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kimin Yun more than expected).
Fields of papers citing papers by Kimin Yun
This network shows the impact of papers produced by Kimin Yun. 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 Kimin Yun. The network helps show where Kimin Yun may publish in the future.
Co-authorship network of co-authors of Kimin Yun
This figure shows the co-authorship network connecting the top 25 collaborators of Kimin Yun. A scholar is included among the top collaborators of Kimin Yun 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 Kimin Yun. Kimin Yun 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 | 1 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 3 | |
| 8 | 14 | |
| 9 | 44 | |
| 10 | 50 | |
| 11 | 2 | |
| 12 | 28 | |
| 13 | Action-Decision Networks for Visual Tracking with Deep Reinforcement Learningbreakdown → | 364 |
| 14 | 19 | |
| 15 | 3 | |
| 16 | 4 | |
| 17 | 27 | |
| 18 | 70 | |
| 19 | 17 | |
| 20 | 55 |
About Kimin Yun
Kimin Yun is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 30 papers that have together received 783 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (21 papers), Human Pose and Action Recognition (13 papers) and Advanced Vision and Imaging (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (698 citations), Safety, Risk, Reliability and Quality (94 citations) and Aerospace Engineering (156 citations). Kimin Yun has collaborated with scholars based in South Korea and Switzerland. Frequent co-authors include Jin Young Choi, Sangdoo Yun, Youngjoon Yoo, Jongwon Choi, Soo Wan Kim, Kwang Moo Yi, Jongyoul Park, Jin‐Young Choi, Hyung Jin Chang and Sun Jung Kim. Their work appears in journals such as IEEE Access, Sensors and IEEE Transactions on Neural Networks and Learning Systems.
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.