Jongeun Lee

3.6k citations
155 papers · 2.2k · h-index 26

Impact in

Papers in

Jongeun Lee

147 papers receiving 2.2k citations

Peers

Jongeun Lee
Comparison fields: 5 of 147
  • Hardware and Architecture 677
  • Computer Networks and Communications 912
  • Computer Vision and Pattern Recognition 332
  • Artificial Intelligence 513
  • Electrical and Electronic Engineering 913
Replace Peipei Zhou with:
Peipei Zhou United States
Ravi Iyer United States
Jamie Liu United States
Youhui Zhang China
Zaid Al-Ars Netherlands
D. Frank Hsu United States
Christoph Kirsch Austria
Michael D. Linderman United States
Vijay Ganesh United States
Leyuan Wang China
Jongeun Lee relative to Peipei Zhou United States Peipei Zhou's profile →
Citations per field
00.5×10×14×
Peipei Zhou · 1×
Citations per year

Countries citing papers authored by Jongeun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jongeun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jongeun Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jongeun Lee Line = papers co-authored together Jongeun Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 155 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016139
2 1998126
3 2004104
4 2017103
5 201668
6 200363
7 200752
8 201850
9 201548
10 201745
11 200543
12 201741
13 201641
14 202038
15 201736
16 201735
17 200235
18 201934
19 200332
20 201829

About Jongeun Lee

Jongeun Lee is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Hardware and Architecture, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 155 papers that have together received 2.2k indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (42 papers), Parallel Computing and Optimization Techniques (42 papers), Interconnection Networks and Systems (32 papers), Advanced Memory and Neural Computing (27 papers), Ferroelectric and Negative Capacitance Devices (21 papers), Advanced Neural Network Applications (21 papers), Error Correcting Code Techniques (14 papers) and Radiation Effects in Electronics (12 papers). The work is most often cited by research in Hardware and Architecture (677 citations), Computer Networks and Communications (912 citations), Computer Vision and Pattern Recognition (332 citations), Artificial Intelligence (513 citations) and Electrical and Electronic Engineering (913 citations). Jongeun Lee has collaborated with scholars based in South Korea, United States and Saudi Arabia. Frequent co-authors include Ki‐Young Choi, Hyeonuk Sim, Aviral Shrivastava, Nikil Dutt, Sugil Lee, Dong Thanh Nguyen, Joonsang Yu, Mohammed E. Fouda, Fadi Kurdahi and Ahmed M. Eltawil. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, ACM SIGPLAN Notices, IEEE Access, ACM Transactions on Design Automation of Electronic Systems and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

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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