Bado Lee
Impact in
- Media Technology top 2%
- Vehicle License Plate Recognition
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- Handwritten Text Recognition Techniques
- Image Processing and 3D Reconstruction
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Video Analysis and Summarization
- Advanced Neural Network Applications
Papers in
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- Multimodal Machine Learning Applications 2
- Image Processing and 3D Reconstruction 1
- Handwritten Text Recognition Techniques 1
- Generative Adversarial Networks and Image Synthesis 1
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- Advanced biosensing and bioanalysis techniques 1
- DNA and Biological Computing 1
- Co-authors
- Hwalsuk Lee (1 shared paper)Sangdoo Yun (2 shared papers)Youngmin Baek (1 shared paper)Dongyoon Han (1 shared paper)Sanghyuk Chun (1 shared paper)Hyunjung Shim (1 shared paper)Junbum Cha (1 shared paper)Jung-Woo Ha (1 shared paper)
- Journals
- Jeongbo gwahaghoe nonmunji. keompyuting ui silje (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)
- Partner nations
- South KoreaCanadaUnited States
In The Last Decade
Bado Lee
4 papers receiving 557 citations
Bado Lee's Hit Papers
Peers
Comparison fields: 5 of 61
- Media Technology 224
- Computer Vision and Pattern Recognition 517
- Computer Graphics and Computer-Aided Design 27
- Artificial Intelligence 117
- Human-Computer Interaction 16
Countries citing papers authored by Bado Lee
This map shows the geographic impact of Bado 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 Bado Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bado Lee more than expected).
Fields of papers citing papers by Bado Lee
This network shows the impact of papers produced by Bado 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 Bado Lee. The network helps show where Bado Lee may publish in the future.
Co-authors
The 17 scholars most cited alongside Bado 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 | Character Region Awareness for Text Detection Hit paper breakdown → | 2019 | 540 |
| 2 | 2021 | 41 | |
| 3 | 2010 | 7 | |
| 4 | 2011 | 1 | |
| 5 | Article-Goods Associative Search using Bi-Source Topic Modeling Method | 2011 | 0 |
| 6 | 2023 | 0 |
About Bado Lee
Bado Lee is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Computer Networks and Communications, Information Systems and Artificial Intelligence, having authored 6 papers that have together received 589 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), MicroRNA in disease regulation (1 paper), Image Processing and 3D Reconstruction (1 paper), Error Correcting Code Techniques (1 paper), Handwritten Text Recognition Techniques (1 paper), DNA and Biological Computing (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). The work is most often cited by research in Media Technology (224 citations), Computer Vision and Pattern Recognition (517 citations), Computer Graphics and Computer-Aided Design (27 citations), Artificial Intelligence (117 citations) and Human-Computer Interaction (16 citations). Bado Lee has collaborated with scholars based in South Korea, Canada and United States. Frequent co-authors include Hwalsuk Lee, Sangdoo Yun, Youngmin Baek, Dongyoon Han, Sanghyuk Chun, Hyunjung Shim, Junbum Cha, Jung-Woo Ha, Soo‐Jin Kim and Byoung‐Tak Zhang. Their work appears in journals such as Jeongbo gwahaghoe nonmunji. keompyuting ui silje and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
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.