Eun‐Kyu Lee
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- IoT and Edge/Fog Computing 6
- Mobile Ad Hoc Networks 5
- Opportunistic and Delay-Tolerant Networks 5
- Caching and Content Delivery 4
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- Vehicular Ad Hoc Networks (VANETs) 10
- Smart Grid Energy Management 6
- Automotive Engineering top 10%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Privacy-Preserving Technologies in Data 4
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- Smart Grid Security and Resilience 4
- Cited by
- Computer Networks and CommunicationsElectrical and Electronic EngineeringAutomotive Engineering
- Partner nations
- South KoreaUnited StatesFrance
In The Last Decade
Eun‐Kyu Lee
37 papers receiving 755 citations
Peers
Comparison fields: 5 of 80
- Computer Networks and Communications 400
- Electrical and Electronic Engineering 487
- Automotive Engineering 97
- Information Systems 110
- Artificial Intelligence 156
Countries citing papers authored by Eun‐Kyu Lee
This map shows the geographic impact of Eun‐Kyu 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 Eun‐Kyu Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eun‐Kyu Lee more than expected).
Fields of papers citing papers by Eun‐Kyu Lee
This network shows the impact of papers produced by Eun‐Kyu 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 Eun‐Kyu Lee. The network helps show where Eun‐Kyu Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eun‐Kyu Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 6 | |
| 4 | 2022 | 3 | |
| 5 | 2021 | 1 | |
| 6 | 2021 | 3 | |
| 7 | 2020 | 6 | |
| 8 | 2018 | 3 | |
| 9 | 2017 | 3 | |
| 10 | 2017 | 0 | |
| 11 | 2017 | 14 | |
| 12 | 2016 | 52 | |
| 13 | 2016 | 0 | |
| 14 | 2015 | 1 | |
| 15 | 2015 | 0 | |
| 16 | 2013 | 2 | |
| 17 | 2011 | 3 | |
| 18 | 2008 | 11 | |
| 19 | 2005 | 3 | |
| 20 | 2005 | 4 |
About Eun‐Kyu Lee
Eun‐Kyu Lee is a scholar working on Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering, Artificial Intelligence and Transportation, having authored 46 papers that have together received 783 indexed citations. Recurring topics across this work include Vehicular Ad Hoc Networks (VANETs) (10 papers), IoT and Edge/Fog Computing (6 papers), Smart Grid Energy Management (6 papers), Mobile Ad Hoc Networks (5 papers), Opportunistic and Delay-Tolerant Networks (5 papers), Smart Grid Security and Resilience (4 papers), Caching and Content Delivery (4 papers) and Privacy-Preserving Technologies in Data (4 papers). The work is most often cited by research in Computer Networks and Communications (400 citations), Electrical and Electronic Engineering (487 citations), Automotive Engineering (97 citations), Information Systems (110 citations) and Artificial Intelligence (156 citations). Eun‐Kyu Lee has collaborated with scholars based in South Korea, United States and France. Frequent co-authors include Mário Gerla, Soon Y. Oh, Euisin Lee, Jae‐Han Lim, Giovanni Pau, Uichin Lee, Wooseong Kim, Yongdae Kim, Jiho Lee and Hongil Kim. Their work appears in journals such as Sustainability, Sensors, Frontiers in Veterinary Science, Electronics and IEEE Communications Letters.
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.