Ikkyun Kim

2.0k citations
54 papers · 1.3k indexed · 1 hit paper · h-index 14
Topics
Network Security and Intrusion Detection (43 papers)Advanced Malware Detection Techniques (23 papers)Internet Traffic Analysis and Secure E-voting (15 papers)

In The Last Decade

Ikkyun Kim

48 papers receiving 1.2k citations

Hit Papers

A survey of deep learning-based network anomaly detection20172026202020232017100200300400500

Peers

Ikkyun Kim
Comparison fields: 5 of 81
  • Computer Networks and Communications 961
  • Artificial Intelligence 805
  • Signal Processing 550
  • Information Systems 309
  • Control and Systems Engineering 113
Replace Kuinam J. Kim with:
Kuinam J. Kim South Korea
Yanbin Sun China
Noura Limam Canada
Carol Fung United States
Abebe Diro Australia
Ian Welch New Zealand
Bruno Bogaz Zarpel�ão Brazil
Jiahai Yang China
Hongliang Zhu China
Ikkyun Kim relative to Kuinam J. Kim South Korea Kuinam J. Kim's profile →
Citations per field
00.5×1.5×2.1×
Kuinam J. Kim · 1×
Citations per year

Countries citing papers authored by Ikkyun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Ikkyun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ikkyun Kim

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 4
3 0
4 1
5 13
6 28
7 13
8 2
9 96
10 40
11
A survey of deep learning-based network anomaly detectionbreakdown →
506
12 110
13 0
14 29
15 0
16
A case study of unknown attack detection against Zero-day worm in the honeynet environment
11
17 36
18 60
19 1
20 1

About Ikkyun Kim

Ikkyun Kim is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems, having authored 54 papers that have together received 1.3k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (43 papers), Advanced Malware Detection Techniques (23 papers) and Internet Traffic Analysis and Secure E-voting (15 papers). The work is most often cited by research in Signal Processing (550 citations), Computer Networks and Communications (961 citations) and Artificial Intelligence (805 citations). Ikkyun Kim has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Hyunjoo Kim, Jinoh Kim, Sang C. Suh, Donghwoon Kwon, Kuinam J. Kim, Jonghyun Kim, Daesung Moon, Jong Hyuk Park, Kijun Han and Jae‐Cheol Ryou. Their work appears in journals such as IEEE Access, Australasian Journal of Paramedicine and IEEE Internet of Things Journal.

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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