Eojin Lee

1.0k citations
34 papers · 702 · h-index 14

Impact in

Papers in

Eojin Lee

31 papers receiving 667 citations

Peers

Eojin Lee
Comparison fields: 5 of 74
  • Hardware and Architecture 267
  • Computer Networks and Communications 187
  • Artificial Intelligence 243
  • Computational Mathematics 4
  • Signal Processing 63
Replace Takuo Watanabe with:
Takuo Watanabe Japan
Chien‐Hung Chen Taiwan
Ying Mao United States
Yu-Ming Chang Taiwan
Xiaomin Zhang China
Srishti Srivastava United States
Siyuan Lu China
Zhuolun He Hong Kong
Kai Zhu China
Eojin Lee relative to Takuo Watanabe Japan Takuo Watanabe's profile →
Citations per field
00.5×20×40×60×82.5×
Takuo Watanabe · 1×
Citations per year

Countries citing papers authored by Eojin Lee

Since Specialization
Citations

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

Fields of papers citing papers by Eojin Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eojin 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 Eojin Lee Line = papers co-authored together Eojin Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021145
2 202075
3 201962
4 202145
5 202144
6 201540
7 202134
8 202031
9 202330
10 202127
11 201625
12 202022
13 201717
14 202316
15 202313
16 202013
17 20219
18 20237
19 20227
20 20176

About Eojin Lee

Eojin Lee is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence and Information Systems, having authored 34 papers that have together received 702 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (13 papers), Advanced Memory and Neural Computing (8 papers), Ferroelectric and Negative Capacitance Devices (7 papers), Advanced Data Storage Technologies (6 papers), Security and Verification in Computing (4 papers), Cryptography and Residue Arithmetic (3 papers), Cloud Computing and Resource Management (3 papers) and Cryptography and Data Security (2 papers). The work is most often cited by research in Hardware and Architecture (267 citations), Computer Networks and Communications (187 citations), Artificial Intelligence (243 citations), Computational Mathematics (4 citations) and Signal Processing (63 citations). Eojin Lee has collaborated with scholars based in South Korea and United States. Frequent co-authors include Jung Ho Ahn, Sukhan Lee, Jaehyun Park, G. Edward Suh, Nam Sung Kim, Jae W. Lee, Tae Jun Ham, Woosuk Kwon, Minsoo Rhu and Shin-haeng Kang. Their work appears in journals such as IEEE Computer Architecture Letters, IEEE Access, IEEE Transactions on Computers, Biomolecules & Therapeutics and Biomaterials Research.

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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