Juhyoung Lee

1.0k citations
44 papers · 741 indexed · h-index 17
Topics
Advanced Memory and Neural Computing (19 papers)Advanced Neural Network Applications (19 papers)Ferroelectric and Negative Capacitance Devices (12 papers)
Partner nations
South KoreaCanada

In The Last Decade

Juhyoung Lee

43 papers receiving 735 citations

Peers

Juhyoung Lee
Comparison fields: 5 of 53
  • Electrical and Electronic Engineering 444
  • Computer Vision and Pattern Recognition 378
  • Artificial Intelligence 188
  • Hardware and Architecture 116
  • Computer Networks and Communications 65
Replace Liangzhen Lai with:
Liangzhen Lai United States
Donghyeon Han South Korea
Eunhyeok Park South Korea
Naveen Suda United States
Jungwook Choi South Korea
Shibin Tang China
Antonio Puglielli United States
Mingyu Yan China
Robert Fasthuber Belgium
Xiaolong Ma United States
Juhyoung Lee relative to Liangzhen Lai United States Liangzhen Lai's profile →
Citations per field
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Liangzhen Lai · 1×
Citations per year

Countries citing papers authored by Juhyoung Lee

Since Specialization
Citations

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

Fields of papers citing papers by Juhyoung Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juhyoung Lee

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 34
2 16
3 10
4 2
5 5
6 35
7 48
8 24
9 9
10 1
11 59
12 23
13 45
14 16
15 20
16 12
17 24
18 19
19 29
20 1

About Juhyoung Lee

Juhyoung Lee is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Artificial Intelligence, having authored 44 papers that have together received 741 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (19 papers), Advanced Neural Network Applications (19 papers) and Ferroelectric and Negative Capacitance Devices (12 papers). The work is most often cited by research in Computational Mathematics (12 citations), Computer Vision and Pattern Recognition (378 citations) and Hardware and Architecture (116 citations). Juhyoung Lee has collaborated with scholars based in South Korea and Canada. Frequent co-authors include Hoi‐Jun Yoo, Jinsu Lee, Donghyeon Han, Sangyeob Kim, Jinmook Lee, Sanghoon Kang, Gwangtae Park, Dongseok Im, Sangjin Kim and Ji-Hoon Kim. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Journal of Solid-State Circuits and IEEE Transactions on Circuits and Systems I Regular Papers.

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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