Seungeui Lee

567 citations
6 papers · 250 indexed · h-index 4
Topics
Advanced SAR Imaging Techniques (3 papers)Advanced Image and Video Retrieval Techniques (1 paper)Infrared Target Detection Methodologies (1 paper)
Journals
SensorsJournal of Electromagnetic Engineering and ScienceSeoul National University Open Repository (Seoul National University)
Partner nations
South Korea

In The Last Decade

Seungeui Lee

5 papers receiving 238 citations

Peers

Seungeui Lee
Comparison fields: 5 of 54
  • Computer Vision and Pattern Recognition 178
  • Artificial Intelligence 131
  • Aerospace Engineering 44
  • Media Technology 17
  • Biomedical Engineering 15
Replace Mohammadreza Mostajabi with:
Mohammadreza Mostajabi Iran
Yu-Jhe Li United States
Edouard Oyallon France
Gianluca Agresti Italy
Sergi Caelles Switzerland
Naiyu Gao China
Kevin J. Shih United States
Tingfa Xu China
Qingxuan Lv China
Seungeui Lee relative to Mohammadreza Mostajabi Iran Mohammadreza Mostajabi's profile →
Citations per field
00.5×2.7×
Mohammadreza Mostajabi · 1×
Citations per year

Countries citing papers authored by Seungeui Lee

Since Specialization
Citations

This map shows the geographic impact of Seungeui 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 Seungeui Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seungeui Lee more than expected).

Fields of papers citing papers by Seungeui Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seungeui 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 Seungeui Lee. The network helps show where Seungeui Lee may publish in the future.

Co-authorship network of co-authors of Seungeui Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Seungeui Lee. A scholar is included among the top collaborators of Seungeui 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 Seungeui Lee. Seungeui Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1 0
2 33
3 3
4
Consistency-based Semi-supervised Learning for Object detection
201
5 10
6
Selective Self-Training for semi-supervised Learning
3

About Seungeui Lee

Seungeui Lee is a scholar working on Aerospace Engineering, Media Technology and Computer Vision and Pattern Recognition, having authored 6 papers that have together received 250 indexed citations. Recurring topics across this work include Advanced SAR Imaging Techniques (3 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Infrared Target Detection Methodologies (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (178 citations), Artificial Intelligence (131 citations) and Media Technology (17 citations). Seungeui Lee has collaborated with scholars based in South Korea. Frequent co-authors include Nojun Kwak, Jisoo Jeong, Jeesoo Kim, Jihoon Kwon and Young‐Jae Choi. Their work appears in journals such as Sensors, Journal of Electromagnetic Engineering and Science and Seoul National University Open Repository (Seoul National University).

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.

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