Dong-Gyu Lee
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- Video Surveillance and Tracking Methods 16
- Human Pose and Action Recognition 13
- Advanced Neural Network Applications 11
- Multimodal Machine Learning Applications 6
- Advanced Image and Video Retrieval Techniques 6
- Artificial Intelligence top 10%
- Anomaly Detection Techniques and Applications 9
- Domain Adaptation and Few-Shot Learning 6
- Automotive Engineering top 10%
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- Advanced Sensor and Energy Harvesting Materials 4
- Co-authors
- Seong‐Whan LeeAbhishek KumarHeung‐Il SukSung-Kee ParkSunghoon HurChong‐Yun KangRammohan MallipeddiHyun‐Cheol Song
- Journals
- Journal of the American Chemical Society (1 paper)Energy & Environmental Science (1 paper)Chemical Engineering Journal (3 papers)
- Partner nations
- South KoreaUnited StatesIndia
In The Last Decade
Dong-Gyu Lee
44 papers receiving 565 citations
Peers
Comparison fields: 5 of 85
- Computer Vision and Pattern Recognition 191
- Artificial Intelligence 186
- Automotive Engineering 60
- Computational Mathematics 2
- Biomedical Engineering 134
Countries citing papers authored by Dong-Gyu Lee
This map shows the geographic impact of Dong-Gyu 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 Dong-Gyu Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong-Gyu Lee more than expected).
Fields of papers citing papers by Dong-Gyu Lee
This network shows the impact of papers produced by Dong-Gyu 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 Dong-Gyu Lee. The network helps show where Dong-Gyu Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dong-Gyu 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 19 | |
| 8 | 2024 | 22 | |
| 9 | 2024 | 3 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 5 | |
| 14 | 2023 | 15 | |
| 15 | 2023 | 13 | |
| 16 | 2022 | 8 | |
| 17 | Uncertainty-based Continual Learning with Adaptive Regularization | 2019 | 17 |
| 18 | First-Person Activity Recognition Based on Three-Stream Deep Features | 2018 | 5 |
| 19 | 2005 | 24 | |
| 20 | Antifungal Activities of Metarhizium anisopliae against Fusarium oxysporum, Botrytis cinerea, and Alternaria solani | 1996 | 16 |
About Dong-Gyu Lee
Dong-Gyu Lee is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering, having authored 54 papers that have together received 610 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (16 papers), Human Pose and Action Recognition (13 papers), Advanced Neural Network Applications (11 papers), Anomaly Detection Techniques and Applications (9 papers), Multimodal Machine Learning Applications (6 papers), Domain Adaptation and Few-Shot Learning (6 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Advanced Sensor and Energy Harvesting Materials (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (191 citations), Artificial Intelligence (186 citations) and Automotive Engineering (60 citations). Dong-Gyu Lee has collaborated with scholars based in South Korea, United States and India. Frequent co-authors include Seong‐Whan Lee, Abhishek Kumar, Heung‐Il Suk, Sung-Kee Park, Sunghoon Hur, Chong‐Yun Kang, Rammohan Mallipeddi, Hyun‐Cheol Song, Jeong Min Baik and Byungcho Choi. Their work appears in journals such as Journal of the American Chemical Society, Energy & Environmental Science and Chemical Engineering Journal.
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.