Jong-Il Park
- Computer Vision and Pattern Recognition top 2%
- Human-Computer Interaction top 2%
- Aerospace Engineering top 10%
- Geometry and Topology top 5%
- Mathematical Physics top 10%
- Co-authors
- Hanhoon ParkKyung‐Tae KimByung-Kuk SeoSang Uk LeeKangsoo KimMoon-Hyun LeeDong‐Soo ShinChang‐Hyun Park
- Topics
- Augmented Reality Applications (26 papers)Advanced Vision and Imaging (25 papers)Robotics and Sensor-Based Localization (13 papers)
- Partner nations
- South KoreaJapanUnited States
In The Last Decade
Jong-Il Park
94 papers receiving 720 citations
Peers
Comparison fields: 5 of 88
- Computer Vision and Pattern Recognition 393
- Human-Computer Interaction 187
- Aerospace Engineering 168
- Geometry and Topology 107
- Mathematical Physics 68
Countries citing papers authored by Jong-Il Park
This map shows the geographic impact of Jong-Il 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 Jong-Il Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jong-Il Park more than expected).
Fields of papers citing papers by Jong-Il Park
This network shows the impact of papers produced by Jong-Il 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 Jong-Il Park. The network helps show where Jong-Il Park may publish in the future.
Co-authorship network of co-authors of Jong-Il Park
This figure shows the co-authorship network connecting the top 25 collaborators of Jong-Il Park. A scholar is included among the top collaborators of Jong-Il Park 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 Jong-Il Park. Jong-Il Park 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 | 2 | |
| 3 | 3 | |
| 4 | Image Steganography Using Random Permutation and Image Difference | 1 |
| 5 | 57 | |
| 6 | 2 | |
| 7 | Hand Shape Recognition using a Hybrid Camera | 0 |
| 8 | A Study on Providing Natural Two-Handed Interaction Using a Hybrid Camera | 3 |
| 9 | 6 | |
| 10 | 1 | |
| 11 | A Study on the Status and Improvement of Technical Standard on Building Mechanical System Engineering | 1 |
| 12 | Real-Time Occlusion Culling for Augmented Reality | 3 |
| 13 | Interface for Augmented Reality Using Efficient Hand Gesture Recognition | 3 |
| 14 | 4 | |
| 15 | 3 | |
| 16 | Disparity Estimation Based on Bayesian Maximum A Posteriori (MAP) Algorithm | 3 |
| 17 | 2 | |
| 18 | New View Generation from Multi-View Image Sequence | 1 |
| 19 | Image synthesis based on estimation of camera parameters from image sequence | 2 |
| 20 | 24-2 Hierarchical Movement Estimation for HDTV Signals | 1 |
About Jong-Il Park
Jong-Il Park is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Geometry and Topology, having authored 115 papers that have together received 791 indexed citations. Recurring topics across this work include Augmented Reality Applications (26 papers), Advanced Vision and Imaging (25 papers) and Robotics and Sensor-Based Localization (13 papers). The work is most often cited by research in Human-Computer Interaction (187 citations), Computer Vision and Pattern Recognition (393 citations) and Geometry and Topology (107 citations). Jong-Il Park has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Hanhoon Park, Kyung‐Tae Kim, Byung-Kuk Seo, Sang Uk Lee, Kangsoo Kim, Moon-Hyun Lee, Dong‐Soo Shin, Chang‐Hyun Park, Yongnam Lee and Nam Ik Cho. Their work appears in journals such as Journal of The Electrochemical Society, IEEE Access 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.