Junyoung Park
Impact in
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- Advanced Image Processing Techniques
- Robotic Path Planning Algorithms
- Image and Signal Denoising Methods
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- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Information and Cyber Security 2
- Technology and Data Analysis 2
- Cloud Data Security Solutions 2
- Co-authors
- Donghwi Hwang (1 shared paper)Jae Sung Lee (1 shared paper)Kyeong Yun Kim (1 shared paper)Yu Kyeong Kim (1 shared paper)Seung Kwan Kang (1 shared paper)Dongjun Lee (1 shared paper)Hai-Nguyen Nguyen (1 shared paper)Sangyul Park (1 shared paper)
- Journals
- IEEE Access (1 paper)Physics in Medicine and Biology (1 paper)IEEE Transactions on Robotics (1 paper)Journal of Information Processing Systems (1 paper)KIISE Transactions on Computing Practices (1 paper)
- Partner nations
- South Korea
In The Last Decade
Junyoung Park
10 papers receiving 293 citations
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 136
- Radiology, Nuclear Medicine and Imaging 84
- Media Technology 33
- Radiation 22
- Control and Systems Engineering 55
Countries citing papers authored by Junyoung Park
This map shows the geographic impact of Junyoung Park'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 Junyoung Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyoung Park more than expected).
Fields of papers citing papers by Junyoung Park
This network shows the impact of papers produced by Junyoung Park. 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 Junyoung Park. The network helps show where Junyoung Park may publish in the future.
Co-authors
The 19 scholars most cited alongside Junyoung Park, 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 | 2018 | 168 | |
| 2 | 2018 | 94 | |
| 3 | 2019 | 13 | |
| 4 | 2020 | 7 | |
| 5 | 2017 | 4 | |
| 6 | 2016 | 4 | |
| 7 | 2018 | 3 | |
| 8 | 2018 | 1 | |
| 9 | Self-tuning dynamic voltage scaling techniques for processor design | 2013 | 1 |
| 10 | 2021 | 1 | |
| 11 | MND-TMM for Testing Process Improvements of Defense Software | 2008 | 0 |
About Junyoung Park
Junyoung Park is a scholar working on Information Systems, Computer Vision and Pattern Recognition, Control and Systems Engineering, Artificial Intelligence and Electrical and Electronic Engineering, having authored 11 papers that have together received 296 indexed citations. Recurring topics across this work include Information and Cyber Security (2 papers), Robot Manipulation and Learning (2 papers), Technology and Data Analysis (2 papers), Cloud Data Security Solutions (2 papers), Innovation in Digital Healthcare Systems (1 paper), Analog and Mixed-Signal Circuit Design (1 paper), Network Security and Intrusion Detection (1 paper) and Soft Robotics and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (136 citations), Radiology, Nuclear Medicine and Imaging (84 citations), Media Technology (33 citations), Radiation (22 citations) and Control and Systems Engineering (55 citations). Junyoung Park has collaborated with scholars based in South Korea. Frequent co-authors include Donghwi Hwang, Jae Sung Lee, Kyeong Yun Kim, Yu Kyeong Kim, Seung Kwan Kang, Dongjun Lee, Hai-Nguyen Nguyen, Sangyul Park, Eui‐Nam Huh and Woochul Kang. Their work appears in journals such as IEEE Access, Physics in Medicine and Biology, IEEE Transactions on Robotics, Journal of Information Processing Systems and KIISE Transactions on Computing Practices.
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.