Sungmin Eum
Impact in
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- Face recognition and analysis
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Face and Expression Recognition
- Robotic Path Planning Algorithms
- Signal Processing top 10%
- Biometric Identification and Security
Papers in
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- Face and Expression Recognition 3
- Face recognition and analysis 3
- Multimodal Machine Learning Applications 3
- Advanced Image and Video Retrieval Techniques 3
- Advanced Vision and Imaging 3
- Advanced Neural Network Applications 3
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- Anomaly Detection Techniques and Applications 4
- Co-authors
- Heesung Kwon (8 shared papers)David K. Han (2 shared papers)John G. Rogers (1 shared paper)Maggie Wigness (1 shared paper)Ho Gi Jung (2 shared papers)Jae Kyu Suhr (3 shared papers)Jaihie Kim (3 shared papers)Dong Joon Kim (1 shared paper)
- Journals
- IEEE Access (1 paper)IEEE Transactions on Geoscience and Remote Sensing (1 paper)Pattern Recognition (1 paper)IEEE Transactions on Intelligent Transportation Systems (1 paper)Proceedings of the International Symposium on Combinatorial Search (1 paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Sungmin Eum
13 papers receiving 274 citations
Peers
Comparison fields: 5 of 52
- Computer Vision and Pattern Recognition 219
- Signal Processing 80
- Automotive Engineering 53
- Media Technology 27
- Aerospace Engineering 53
Countries citing papers authored by Sungmin Eum
This map shows the geographic impact of Sungmin Eum'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 Sungmin Eum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sungmin Eum more than expected).
Fields of papers citing papers by Sungmin Eum
This network shows the impact of papers produced by Sungmin Eum. 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 Sungmin Eum. The network helps show where Sungmin Eum may publish in the future.
Co-authors
The 17 scholars most cited alongside Sungmin Eum, 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 | 2019 | 112 | |
| 2 | 2012 | 71 | |
| 3 | 2013 | 37 | |
| 4 | 2022 | 24 | |
| 5 | 2011 | 14 | |
| 6 | 2011 | 14 | |
| 7 | 2017 | 6 | |
| 8 | 2019 | 3 | |
| 9 | 2022 | 2 | |
| 10 | 2021 | 2 | |
| 11 | Joint Deep Exploitation of Semantic Keywords and Visual Features for Malicious Crowd Image Classification. | 2016 | 1 |
| 12 | 2018 | 1 | |
| 13 | 2021 | 1 | |
| 14 | 2015 | 0 | |
| 15 | 2014 | 0 |
About Sungmin Eum
Sungmin Eum is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Computer Networks and Communications and Automotive Engineering, having authored 15 papers that have together received 288 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (4 papers), Face and Expression Recognition (3 papers), Biometric Identification and Security (3 papers), Face recognition and analysis (3 papers), Multimodal Machine Learning Applications (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Advanced Vision and Imaging (3 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (219 citations), Signal Processing (80 citations), Automotive Engineering (53 citations), Media Technology (27 citations) and Aerospace Engineering (53 citations). Sungmin Eum has collaborated with scholars based in United States and South Korea. Frequent co-authors include Heesung Kwon, David K. Han, John G. Rogers, Maggie Wigness, Ho Gi Jung, Jae Kyu Suhr, Jaihie Kim, Dong Joon Kim, Kang Ryoung Park and Hyungtae Lee. Their work appears in journals such as IEEE Access, IEEE Transactions on Geoscience and Remote Sensing, Pattern Recognition, IEEE Transactions on Intelligent Transportation Systems and Proceedings of the International Symposium on Combinatorial Search.
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.