Jinsun Park
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- Advanced Vision and Imaging 13
- Image Enhancement Techniques 8
- Advanced Neural Network Applications 7
- Optical measurement and interference techniques 5
- Advanced Image Processing Techniques 4
- Visual Attention and Saliency Detection 3
- Media Technology top 2%
- Image Processing Techniques and Applications 7
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- Robotics and Sensor-Based Localization 4
- Co-authors
- In So KweonYu‐Wing TaiHae‐Gon JeonYunsu BokJaesik ParkGyeongmin ChoeDonghyeon ChoFrançois Rameau
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyComputer Graphics and Computer-Aided Design
- Journals
- IEEE Robotics and Automation Letters (4 papers)JACC Asia (4 papers)Pattern Recognition Letters (3 papers)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Jinsun Park
38 papers receiving 856 citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Computer Vision and Pattern Recognition 674
- Media Technology 217
- Computer Graphics and Computer-Aided Design 37
- Geriatrics and Gerontology 23
- Geology 24
Countries citing papers authored by Jinsun Park
This map shows the geographic impact of Jinsun 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 Jinsun Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinsun Park more than expected).
Fields of papers citing papers by Jinsun Park
This network shows the impact of papers produced by Jinsun 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 Jinsun Park. The network helps show where Jinsun Park may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jinsun 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 5 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 5 | |
| 11 | 2022 | 1 | |
| 12 | 2022 | 5 | |
| 13 | 2022 | 2 | |
| 14 | 2022 | 10 | |
| 15 | 2022 | 25 | |
| 16 | 2021 | 34 | |
| 17 | 2021 | 11 | |
| 18 | 2021 | 3 | |
| 19 | 2020 | 23 | |
| 20 | 2020 | 78 |
About Jinsun Park
Jinsun Park is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Immunology and Allergy, having authored 43 papers that have together received 875 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (13 papers), Image Enhancement Techniques (8 papers), Advanced Neural Network Applications (7 papers), Image Processing Techniques and Applications (7 papers), Optical measurement and interference techniques (5 papers), Advanced Image Processing Techniques (4 papers), Robotics and Sensor-Based Localization (4 papers) and Visual Attention and Saliency Detection (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (674 citations), Media Technology (217 citations) and Computer Graphics and Computer-Aided Design (37 citations). Jinsun Park has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include In So Kweon, Yu‐Wing Tai, Hae‐Gon Jeon, Yunsu Bok, Jaesik Park, Gyeongmin Choe, Donghyeon Cho, François Rameau, Heonyong Park and Tae-Hyun Oh. Their work appears in journals such as IEEE Robotics and Automation Letters, JACC Asia, Pattern Recognition Letters, IEEE Signal Processing Letters and Electronics.
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.