Dong Seong Kim

6.3k citations
236 papers · 3.7k indexed · 2 hit papers · h-index 33
Topics
Network Security and Intrusion Detection (112 papers)Information and Cyber Security (63 papers)Advanced Malware Detection Techniques (56 papers)

In The Last Decade

Dong Seong Kim

214 papers receiving 3.5k citations

Hit Papers

Toward Proactive, Adaptive Defense: A Survey on Moving Ta...20202026202220242020202350100150

Peers

Dong Seong Kim
Comparison fields: 5 of 128
  • Computer Networks and Communications 2.7k
  • Information Systems 1.6k
  • Signal Processing 965
  • Artificial Intelligence 804
  • Control and Systems Engineering 402
Replace Prabaharan Poornachandran with:
Prabaharan Poornachandran India
Dan Pei China
Limin Sun China
Antonella Santone Italy
Francesco Mercaldo Italy
Zbigniew Kalbarczyk United States
Shamsul Huda Australia
Manju Khari India
Renfa Li China
Mohammad Masdari Iran
Dong Seong Kim relative to Prabaharan Poornachandran India Prabaharan Poornachandran's profile →
Citations per field
00.5×11.2×
Prabaharan Poornachandran · 1×
Citations per year

Countries citing papers authored by Dong Seong Kim

Since Specialization
Citations

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

Fields of papers citing papers by Dong Seong Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong Seong Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Dong Seong Kim. A scholar is included among the top collaborators of Dong Seong 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 Dong Seong Kim. Dong Seong 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 0
2 1
3 1
4 1
5 7
6 6
7 4
8 1
9
Adversarial Machine Learning for Network Intrusion Detection Systems: A Comprehensive Surveybreakdown →
176
10 22
11 10
12 21
13 10
14 3
15 18
16 18
17 46
18 1
19 43
20
Network-based intrusion detection with support vector machines
2

About Dong Seong Kim

Dong Seong Kim is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems, having authored 236 papers that have together received 3.7k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (112 papers), Information and Cyber Security (63 papers) and Advanced Malware Detection Techniques (56 papers). The work is most often cited by research in Computer Networks and Communications (2.7k citations), Signal Processing (965 citations) and Information Systems (1.6k citations). Dong Seong Kim has collaborated with scholars based in South Korea, Australia and New Zealand. Frequent co-authors include Jin B. Hong, Kishor S. Trivedi, Fumio Machida, Jong Sou Park, Ke He, A.B. Roy, Hyuk Lim, Jin-Hee Cho, Mengmeng Ge and Muhammad Rizwan Asghar. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Communications Surveys & Tutorials and International Journal of Heat and Mass Transfer.

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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