Dayeol Lee

708 total citations · 1 hit paper
8 papers, 412 citations indexed

About

Dayeol Lee is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Dayeol Lee has authored 8 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Information Systems, 5 papers in Artificial Intelligence and 4 papers in Computer Networks and Communications. Recurrent topics in Dayeol Lee's work include Security and Verification in Computing (5 papers), Advanced Malware Detection Techniques (3 papers) and Cloud Data Security Solutions (3 papers). Dayeol Lee is often cited by papers focused on Security and Verification in Computing (5 papers), Advanced Malware Detection Techniques (3 papers) and Cloud Data Security Solutions (3 papers). Dayeol Lee collaborates with scholars based in United States and South Korea. Dayeol Lee's co-authors include Krste Asanović, Dawn Song, David Kohlbrenner, Shweta Shinde, Sagar Karandikar, David Biancolin, Alon Amid, Nathan Pemberton, Jonathan Bachrach and Donggyu Kim and has published in prestigious journals such as IEEE Micro, IEEE Security & Privacy and arXiv (Cornell University).

In The Last Decade

Dayeol Lee

8 papers receiving 399 citations

Hit Papers

Keystone 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dayeol Lee United States 6 241 179 142 129 104 8 412
Xun Li United States 12 459 1.9× 275 1.5× 75 0.5× 56 0.4× 112 1.1× 30 539
Raphael Spreitzer Austria 11 445 1.8× 138 0.8× 138 1.0× 171 1.3× 90 0.9× 16 531
Khaled N. Khasawneh United States 10 340 1.4× 157 0.9× 143 1.0× 55 0.4× 121 1.2× 32 446
Steven Levi United States 8 283 1.2× 131 0.7× 211 1.5× 71 0.6× 31 0.3× 8 385
Taiyi Huang Taiwan 12 136 0.6× 138 0.8× 172 1.2× 39 0.3× 56 0.5× 50 387
Craig A. Shue United States 13 222 0.9× 55 0.3× 348 2.5× 106 0.8× 99 1.0× 43 445
Adrian Dabrowski Austria 11 126 0.5× 47 0.3× 133 0.9× 106 0.8× 99 1.0× 21 333
Clémentine Maurice France 7 475 2.0× 205 1.1× 127 0.9× 140 1.1× 123 1.2× 15 552
Johanna Sepúlveda Germany 13 252 1.0× 248 1.4× 223 1.6× 52 0.4× 177 1.7× 50 507
Alessandro Sorniotti Switzerland 15 431 1.8× 64 0.4× 249 1.8× 406 3.1× 54 0.5× 35 661

Countries citing papers authored by Dayeol Lee

Since Specialization
Citations

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

Fields of papers citing papers by Dayeol Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dayeol Lee

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

All Works

8 of 8 papers shown
1.
Lee, Dayeol, Alexander Thomas, Ping Lu, et al.. (2022). Cerberus. Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security. 1871–1885. 3 indexed citations
2.
Kohlbrenner, David, Shweta Shinde, Dayeol Lee, Krste Asanović, & Dawn Song. (2020). Building Open Trusted Execution Environments. IEEE Security & Privacy. 18(5). 47–56. 4 indexed citations
3.
Lee, Dayeol, David Kohlbrenner, Shweta Shinde, Krste Asanović, & Dawn Song. (2020). Keystone. 1–16. 211 indexed citations breakdown →
4.
Lee, Dayeol, David Kohlbrenner, Shweta Shinde, Dawn Song, & Krste Asanović. (2019). Keystone: A Framework for Architecting TEEs.. arXiv (Cornell University). 16 indexed citations
5.
Lebedev, Ilya, Kyle Hogan, David Kohlbrenner, et al.. (2019). Sanctorum: A lightweight security monitor for secure enclaves. 1142–1147. 6 indexed citations
6.
Karandikar, Sagar, Howard Mao, Donggyu Kim, et al.. (2019). FireSim: FPGA-Accelerated Cycle-Exact Scale-Out System Simulation in the Public Cloud. IEEE Micro. 39(3). 56–65. 7 indexed citations
7.
Lee, Dayeol, et al.. (2018). Flexon: A Flexible Digital Neuron for Efficient Spiking Neural Network Simulations. 275–288. 22 indexed citations
8.
Karandikar, Sagar, Howard Mao, Donggyu Kim, et al.. (2018). FireSim: FPGA-Accelerated Cycle-Exact Scale-Out System Simulation in the Public Cloud. 29–42. 143 indexed citations

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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