Youngjin Kim
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Computer Networks and Communications
- Hardware and Architecture
- Cardiology and Cardiovascular Medicine
- Co-authors
- Gunhee KimYoungjae YuYunseok JangYale SongJihong KimMooyoung HanYoung-Bae ParkYun‐Shik Choi
- Topics
- Caching and Content Delivery (3 papers)Human Pose and Action Recognition (3 papers)Advanced Data Storage Technologies (3 papers)
- Journals
- Journal of the American College of CardiologyIEEE Transactions on Pattern Analysis and Machine IntelligenceInternational Journal of Computer Vision
- Partner nations
- South KoreaUnited StatesPhilippines
In The Last Decade
Youngjin Kim
15 papers receiving 430 citations
Peers
Comparison fields: 5 of 62
- Computer Vision and Pattern Recognition 324
- Artificial Intelligence 234
- Computer Networks and Communications 46
- Hardware and Architecture 25
- Cardiology and Cardiovascular Medicine 19
Countries citing papers authored by Youngjin Kim
This map shows the geographic impact of Youngjin 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 Youngjin Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Youngjin Kim more than expected).
Fields of papers citing papers by Youngjin Kim
This network shows the impact of papers produced by Youngjin 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 Youngjin Kim. The network helps show where Youngjin Kim may publish in the future.
Co-authorship network of co-authors of Youngjin Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Youngjin Kim. A scholar is included among the top collaborators of Youngjin 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 Youngjin Kim. Youngjin 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 | 5 | |
| 4 | 39 | |
| 5 | Memorization Precedes Generation: Learning Unsupervised GANs with Memory Networks | 5 |
| 6 | 1 | |
| 7 | 16 | |
| 8 | 285 | |
| 9 | 5 | |
| 10 | Is There a Synchronicity between the Philippine Stock Exchange and New York Stock Exchange | 1 |
| 11 | Is There A Synchronicity Between The Philippine Stock Exchange And New York Stock Exchange | 0 |
| 12 | 13 | |
| 13 | 17 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | 23 | |
| 18 | Resolving Grammatical Marking Ambuiguities of Korean: An Eye-tracking Study | 1 |
| 19 | 20 |
About Youngjin Kim
Youngjin Kim is a scholar working on Finance, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 437 indexed citations. Recurring topics across this work include Caching and Content Delivery (3 papers), Human Pose and Action Recognition (3 papers) and Advanced Data Storage Technologies (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (324 citations), Artificial Intelligence (234 citations) and Hardware and Architecture (25 citations). Youngjin Kim has collaborated with scholars based in South Korea, United States and Philippines. Frequent co-authors include Gunhee Kim, Youngjae Yu, Yunseok Jang, Yale Song, Jihong Kim, Mooyoung Han, Young-Bae Park, Yun‐Shik Choi, Daewon Sohn and Sungjin Lee. Their work appears in journals such as Journal of the American College of Cardiology, IEEE Transactions on Pattern Analysis and Machine Intelligence and International Journal of Computer Vision.
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.