Junghyup Lee

672 total citations
9 papers, 319 citations indexed

About

Junghyup Lee is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Junghyup Lee has authored 9 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Junghyup Lee's work include Video Surveillance and Tracking Methods (3 papers), Advanced Neural Network Applications (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Junghyup Lee is often cited by papers focused on Video Surveillance and Tracking Methods (3 papers), Advanced Neural Network Applications (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Junghyup Lee collaborates with scholars based in South Korea and France. Junghyup Lee's co-authors include Bumsub Ham, Hyunjong Park, Sanghoon Lee, Dohyung Kim, Ki-Beom Lee, Sumin Lee, Sunghwan Joo, Seong‐Ook Jung, Jongyoun Noh and Jongsoo Lee and has published in prestigious journals such as Pattern Recognition, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and arXiv (Cornell University).

In The Last Decade

Junghyup Lee

7 papers receiving 312 citations

Peers

Junghyup Lee
Comparison fields: 5 of 40
  • Computer Vision and Pattern Recognition 276
  • Biomedical Engineering 72
  • Artificial Intelligence 60
  • Aerospace Engineering 35
  • Global and Planetary Change 32
Replace Daoxun Xia with:
Daoxun Xia China
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Maryam Babaee Germany
Yicong Tian United States
Etienne Corvée France
Weipeng Hu China
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Xiaojing Chen United States
Daoxun Xia China View profile →
Citations per field, relative to Junghyup Lee
Junghyup Lee · 1×
Citations per year, relative to Junghyup Lee
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Countries citing papers authored by Junghyup Lee

Since Specialization
Citations

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

Fields of papers citing papers by Junghyup Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junghyup Lee

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

All Works

9 of 9 papers shown
# Work Indexed citations
1 5
2 0
3 1
4 0
5 6
6 61
7 179
8 65
9 2

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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