Suk Lee

37 papers receiving 258 citations

Peers

Suk Lee
Comparison fields: 5 of 46
  • Hardware and Architecture 67
  • Computer Networks and Communications 126
  • Automotive Engineering 54
  • Control and Systems Engineering 84
  • Software 10
Replace Jun Sun with:
Jun Sun China
Radovan Miucic United States
Heejin Ahn United States
Francesco Benzi Italy
Ralf Schwarz Germany
Damoon Soudbakhsh United States
Xiuyu Gao United States
Dawei Pan China
Paulo Sérgio Sausen Brazil
Ricardo Moraes Brazil
Suk Lee relative to Jun Sun China Jun Sun's profile →
Citations per field
00.5×3.3×
Jun Sun · 1×
Citations per year

Countries citing papers authored by Suk Lee

Since Specialization
Citations

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

Fields of papers citing papers by Suk Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Suk 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 Suk Lee Line = papers co-authored together Suk Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202132
2 200229
3 202020
4 201817
5
Predictive Hybrid Redundancy using Exponential Smoothing Method for Safety Critical Systems
200816
6 200216
7 202316
8 201014
9 200313
10 201211
11 202111
12 202010
13 202210
14 201110
15 20068
16 20038
17 20195
18 20104
19 20073
20 20232

About Suk Lee

Suk Lee is a scholar working on Automotive Engineering, Control and Systems Engineering, Computer Networks and Communications, Electrical and Electronic Engineering and Hardware and Architecture, having authored 42 papers that have together received 275 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (9 papers), Network Time Synchronization Technologies (7 papers), Real-Time Systems Scheduling (7 papers), Vehicle Dynamics and Control Systems (5 papers), Fault Detection and Control Systems (4 papers), Human-Automation Interaction and Safety (3 papers), Petri Nets in System Modeling (3 papers) and Transport Systems and Technology (3 papers). The work is most often cited by research in Hardware and Architecture (67 citations), Computer Networks and Communications (126 citations), Automotive Engineering (54 citations), Control and Systems Engineering (84 citations) and Software (10 citations). Suk Lee has collaborated with scholars based in South Korea, United States and Taiwan. Frequent co-authors include Kyung-Chang Lee, Hyeong-Jun Kim, Young‐Jin Lee, Jee Hun Park, Manho Kim, Keum‐Shik Hong, Ji Hoon Park, Yong‐Ku Kong, Sangsoo Park and Joonwoo Son. Their work appears in journals such as Electronics, International Journal of Automotive Technology, International Journal of Precision Engineering and Manufacturing, Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering and Applied Sciences.

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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