Jae-Han Lee
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 5%
- Artificial Intelligence
- Aerospace Engineering
- Civil and Structural Engineering
- Co-authors
- Chang‐Su KimKyung-Rae KimSeyun KimGyeong-Hoi KooChul LeeJin‐Hyuk ChunTaek–Keun OhSeong-Yong Park
- Topics
- Advanced Vision and Imaging (6 papers)Image Processing Techniques and Applications (3 papers)Nuclear Materials and Properties (3 papers)
- Cited by
- Media TechnologyComputer Vision and Pattern RecognitionComputer Graphics and Computer-Aided Design
- Journals
- IEEE AccessInternational Journal of Environmental Research and Public HealthEngineering Fracture Mechanics
- Partner nations
- South KoreaJapan
In The Last Decade
Jae-Han Lee
21 papers receiving 331 citations
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 200
- Media Technology 108
- Artificial Intelligence 48
- Aerospace Engineering 45
- Civil and Structural Engineering 29
Countries citing papers authored by Jae-Han Lee
This map shows the geographic impact of Jae-Han Lee'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 Jae-Han Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jae-Han Lee more than expected).
Fields of papers citing papers by Jae-Han Lee
This network shows the impact of papers produced by Jae-Han Lee. 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 Jae-Han Lee. The network helps show where Jae-Han Lee may publish in the future.
Co-authorship network of co-authors of Jae-Han Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Jae-Han Lee. A scholar is included among the top collaborators of Jae-Han Lee 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 Jae-Han Lee. Jae-Han Lee 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 | 45 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 9 | |
| 10 | 86 | |
| 11 | 104 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 14 | |
| 15 | 5 | |
| 16 | Development of FAMD Code to Calculate the Fluid Added Mass and Damping of Arbitrary Structures Submerged in Confined Viscous Fluid | 11 |
| 17 | 12 | |
| 18 | 1 | |
| 19 | 4 | |
| 20 | 9 |
About Jae-Han Lee
Jae-Han Lee is a scholar working on Computer Graphics and Computer-Aided Design, Media Technology and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 340 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (6 papers), Image Processing Techniques and Applications (3 papers) and Nuclear Materials and Properties (3 papers). The work is most often cited by research in Media Technology (108 citations), Computer Vision and Pattern Recognition (200 citations) and Computer Graphics and Computer-Aided Design (7 citations). Jae-Han Lee has collaborated with scholars based in South Korea and Japan. Frequent co-authors include Chang‐Su Kim, Kyung-Rae Kim, Seyun Kim, Gyeong-Hoi Koo, Chul Lee, Jin‐Hyuk Chun, Taek–Keun Oh, Seong-Yong Park, U‐In Chung and Yongbum Lee. Their work appears in journals such as IEEE Access, International Journal of Environmental Research and Public Health and Engineering Fracture Mechanics.
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.