Hyun-Ki Hong
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering
- Electrical and Electronic Engineering
- Human-Computer Interaction
- Artificial Intelligence
- Co-authors
- Dong‐Ho LeeJin-Woo JeongJong-Soo ChoiSungil KangSangyoon LeeJong‐Chul LeeMin‐Hyung ChoiYu Jin Jung
- Topics
- Advanced Vision and Imaging (21 papers)Advanced Image and Video Retrieval Techniques (14 papers)Image Retrieval and Classification Techniques (10 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignHuman-Computer Interaction
- Partner nations
- South KoreaUnited KingdomNew Zealand
In The Last Decade
Hyun-Ki Hong
49 papers receiving 235 citations
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 158
- Aerospace Engineering 71
- Electrical and Electronic Engineering 26
- Human-Computer Interaction 20
- Artificial Intelligence 18
Countries citing papers authored by Hyun-Ki Hong
This map shows the geographic impact of Hyun-Ki Hong'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 Hyun-Ki Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyun-Ki Hong more than expected).
Fields of papers citing papers by Hyun-Ki Hong
This network shows the impact of papers produced by Hyun-Ki Hong. 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 Hyun-Ki Hong. The network helps show where Hyun-Ki Hong may publish in the future.
Co-authorship network of co-authors of Hyun-Ki Hong
This figure shows the co-authorship network connecting the top 25 collaborators of Hyun-Ki Hong. A scholar is included among the top collaborators of Hyun-Ki Hong 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 Hyun-Ki Hong. Hyun-Ki Hong 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 | 3 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | 8 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 12 | |
| 9 | 3 | |
| 10 | 9 | |
| 11 | 4 | |
| 12 | Implementation of Real-time Interactive Ray Tracing on GPU | 1 |
| 13 | Omnidirectional Camera Motion Estimation Using Projected Contours | 3 |
| 14 | 3D Analysis of Scene and Light Environment Reconstruction for Image Synthesis | 0 |
| 15 | 8 | |
| 16 | Automatic Registration of 3D Data Sets from Unknown Viewpoints | 8 |
| 17 | 5 | |
| 18 | 1 | |
| 19 | 9 | |
| 20 | 4 |
About Hyun-Ki Hong
Hyun-Ki Hong is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Instrumentation, having authored 58 papers that have together received 254 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (21 papers), Advanced Image and Video Retrieval Techniques (14 papers) and Image Retrieval and Classification Techniques (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (158 citations), Computer Graphics and Computer-Aided Design (14 citations) and Human-Computer Interaction (20 citations). Hyun-Ki Hong has collaborated with scholars based in South Korea, United Kingdom and New Zealand. Frequent co-authors include Dong‐Ho Lee, Jin-Woo Jeong, Jong-Soo Choi, Sungil Kang, Sangyoon Lee, Jong‐Chul Lee, Min‐Hyung Choi, Yu Jin Jung, Ju Hyung Lee and Hoon-Bum Lee. Their work appears in journals such as IEEE Access, Sensors and Pattern Recognition.
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.