Joo Chan Lee
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- Computer Graphics and Visualization Techniques 3
- Computational Geometry and Mesh Generation 1
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- Advanced Neural Network Applications 3
- Advanced Vision and Imaging 2
- Advanced Image and Video Retrieval Techniques 2
- Visual Attention and Saliency Detection 1
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- COVID-19 diagnosis using AI 2
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- Advanced Malware Detection Techniques 1
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Journals
- IEEE Internet of Things Journal (1 paper)Electronics Letters (1 paper)IEEE Transactions on Circuits and Systems I Regular Papers (1 paper)
- Partner nations
- South Korea
In The Last Decade
Joo Chan Lee
9 papers receiving 116 citations
Hit Papers
Peers
Comparison fields: 5 of 27
- Computer Graphics and Computer-Aided Design 40
- Computer Vision and Pattern Recognition 72
- Computational Mechanics 31
- Geology 7
- Industrial and Manufacturing Engineering 11
Countries citing papers authored by Joo Chan Lee
This map shows the geographic impact of Joo Chan 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 Joo Chan Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joo Chan Lee more than expected).
Fields of papers citing papers by Joo Chan Lee
This network shows the impact of papers produced by Joo Chan 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 Joo Chan Lee. The network helps show where Joo Chan Lee may publish in the future.
Co-authorship network
The 7 scholars most cited alongside Joo Chan Lee, 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 | 2024 | 0 | |
| 2 | Compact 3D Gaussian Representation for Radiance Fieldbreakdown → | 2024 | 63 |
| 3 | 2024 | 2 | |
| 4 | 2023 | 20 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 9 | |
| 7 | 2022 | 9 | |
| 8 | 2021 | 8 | |
| 9 | 2021 | 3 | |
| 10 | 2020 | 2 |
About Joo Chan Lee
Joo Chan Lee is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Signal Processing, having authored 10 papers that have together received 118 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (3 papers), Advanced Neural Network Applications (3 papers), Advanced Vision and Imaging (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), COVID-19 diagnosis using AI (2 papers), Advanced Malware Detection Techniques (1 paper), Visual Attention and Saliency Detection (1 paper) and Computational Geometry and Mesh Generation (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (40 citations), Computer Vision and Pattern Recognition (72 citations) and Computational Mechanics (31 citations). Joo Chan Lee has collaborated with scholars based in South Korea. Frequent co-authors include Jong Hwan Ko, Eunbyung Park, SungTae Moon, Yongwoo Kim, Jung Taek Seo, Usman Ali and Kang Eun Jeon. Their work appears in journals such as IEEE Internet of Things Journal, Electronics Letters and IEEE Transactions on Circuits and Systems I Regular Papers.
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.