Junhyuk Hyun
-
- Advanced Neural Network Applications 9
- Advanced Image and Video Retrieval Techniques 8
- Video Surveillance and Tracking Methods 7
- Human Pose and Action Recognition 3
- Face and Expression Recognition 2
- Image Retrieval and Classification Techniques 2
-
- Robotics and Sensor-Based Localization 5
-
- Autonomous Vehicle Technology and Safety 2
- Co-authors
- Euntai KimHongje SeongSuhyeon LeeJeonghyun BaekMinho ChoSang‐Ha KimPeyman Hosseinzadeh KassaniJisu Kim
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Expert Systems with Applications (2 papers)IEEE Access (2 papers)
- Partner nations
- South Korea
In The Last Decade
Junhyuk Hyun
17 papers receiving 204 citations
Peers
Comparison fields: 5 of 45
- Computer Vision and Pattern Recognition 165
- Media Technology 20
- Artificial Intelligence 70
- Geology 7
- Aerospace Engineering 28
Countries citing papers authored by Junhyuk Hyun
This map shows the geographic impact of Junhyuk Hyun'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 Junhyuk Hyun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junhyuk Hyun more than expected).
Fields of papers citing papers by Junhyuk Hyun
This network shows the impact of papers produced by Junhyuk Hyun. 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 Junhyuk Hyun. The network helps show where Junhyuk Hyun may publish in the future.
Co-authorship network
The 8 scholars most cited alongside Junhyuk Hyun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2022 | 12 | |
| 3 | 2022 | 15 | |
| 4 | 2022 | 4 | |
| 5 | 2021 | 13 | |
| 6 | 2021 | 17 | |
| 7 | 2021 | 34 | |
| 8 | 2021 | 22 | |
| 9 | 2020 | 1 | |
| 10 | 2020 | 47 | |
| 11 | 2019 | 10 | |
| 12 | 2019 | 17 | |
| 13 | 2019 | 11 | |
| 14 | 2018 | 1 | |
| 15 | 2016 | 4 | |
| 16 | 2015 | 1 | |
| 17 | 2015 | 0 | |
| 18 | 2015 | 1 |
About Junhyuk Hyun
Junhyuk Hyun is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Automotive Engineering, having authored 18 papers that have together received 211 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (9 papers), Advanced Image and Video Retrieval Techniques (8 papers), Video Surveillance and Tracking Methods (7 papers), Robotics and Sensor-Based Localization (5 papers), Human Pose and Action Recognition (3 papers), Face and Expression Recognition (2 papers), Image Retrieval and Classification Techniques (2 papers) and Autonomous Vehicle Technology and Safety (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (165 citations), Media Technology (20 citations) and Artificial Intelligence (70 citations). Junhyuk Hyun has collaborated with scholars based in South Korea. Frequent co-authors include Euntai Kim, Hongje Seong, Suhyeon Lee, Jeonghyun Baek, Minho Cho, Sang‐Ha Kim, Peyman Hosseinzadeh Kassani and Jisu Kim. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, 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.