Kyung-suk Lhee

435 citations
20 papers · 224 indexed · h-index 8

Kyung-suk Lhee

18 papers receiving 199 citations

Peers

Kyung-suk Lhee
Comparison fields: 5 of 19
  • Signal Processing 142
  • Computer Networks and Communications 111
  • Artificial Intelligence 138
  • Hardware and Architecture 27
  • Information Systems 84
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Sebastian Gerling Germany
Jean‐Louis Lanet France
Mikhail Trofimov Russia
Donghai Tian China
Keith Jones United Kingdom
Bong-Nam Noh South Korea
Shogo Suzuki Japan
Yoshihiro Oyama Japan
Richard Skowyra United States
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Citations per year

Countries citing papers authored by Kyung-suk Lhee

Since Specialization
Citations

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

Fields of papers citing papers by Kyung-suk Lhee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyung-suk Lhee. 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 Kyung-suk Lhee. The network helps show where Kyung-suk Lhee may publish in the future.

Co-authorship network

The 10 scholars most cited alongside Kyung-suk Lhee, 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 Kyung-suk Lhee Line = papers co-authored together Kyung-suk Lhee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20111
2 201117
3
A robust defense against Content-Sniffing XSS attacks
201010
4 201013
5 20106
6 201014
7
Securing data aggregation against false data injection in wireless sensor networks
20108
8 20086
9 20082
10 20081
11 20072
12 20070
13 20071
14 20076
15 20077
16 200520
17 20053
18
Integrity checking for process hardening
20050
19 200355
20
Type-Assisted Dynamic Buffer Overflow Detection
200252

About Kyung-suk Lhee

Kyung-suk Lhee is a scholar working on Computer Networks and Communications, Hardware and Architecture and Signal Processing, having authored 20 papers that have together received 224 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (6 papers), Advanced Malware Detection Techniques (6 papers), Energy Efficient Wireless Sensor Networks (5 papers), Security in Wireless Sensor Networks (5 papers), Internet Traffic Analysis and Secure E-voting (4 papers), Mobile Ad Hoc Networks (4 papers), Security and Verification in Computing (4 papers) and Advanced Steganography and Watermarking Techniques (3 papers). The work is most often cited by research in Signal Processing (142 citations), Computer Networks and Communications (111 citations) and Artificial Intelligence (138 citations). Kyung-suk Lhee has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include Steve J. Chapin, Irfan Ahmed, Manpyo Hong, Hyunjung Shin, Usman Tariq, Seongwoo Yoo, Seung-Kyu Park, Rabia Riaz, Ki‐Hyung Kim and Ali Hammad Akbar. Their work appears in journals such as Software Practice and Experience, AEU - International Journal of Electronics and Communications and International Journal of Information Security.

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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