Dongkyoo Shin

1.6k citations
112 papers · 886 indexed · h-index 15
Topics
Network Security and Intrusion Detection (27 papers)Information and Cyber Security (21 papers)Advanced Steganography and Watermarking Techniques (17 papers)
Partner nations
South KoreaTaiwanChina

In The Last Decade

Dongkyoo Shin

102 papers receiving 834 citations

Peers

Dongkyoo Shin
Comparison fields: 5 of 106
  • Computer Vision and Pattern Recognition 326
  • Computer Networks and Communications 280
  • Artificial Intelligence 244
  • Information Systems 161
  • Signal Processing 152
Replace Tawfik Al-Hadhrami with:
Tawfik Al-Hadhrami United Kingdom
Kasem Khalil United States
Venkata Krishna Kishore Kolli India
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Hongxu Yin United States
Priyanka Sharma India
Zeynep Orman Türkiye
Sunday Adeola Ajagbe Nigeria
Prosanta Gope Taiwan
Tanveer Zia Australia
Dongkyoo Shin relative to Tawfik Al-Hadhrami United Kingdom Tawfik Al-Hadhrami's profile →
Citations per field
00.5×10×15×20×23×
Tawfik Al-Hadhrami · 1×
Citations per year

Countries citing papers authored by Dongkyoo Shin

Since Specialization
Citations

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

Fields of papers citing papers by Dongkyoo Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongkyoo Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Dongkyoo Shin. A scholar is included among the top collaborators of Dongkyoo Shin 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 Dongkyoo Shin. Dongkyoo Shin 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 2
2 5
3 1
4 2
5 28
6 9
7 5
8 5
9 3
10 22
11 59
12 32
13
Network Intrusion Detection with One Class Anomaly Detection Model based on Auto Encoder
0
14 1
15 2
16 3
17 2
18 10
19 22
20
Analysis and Prediction Algorithms on the State of User's Action Using the Hidden Markov Model in a Ubiquitous Home Network System
0

About Dongkyoo Shin

Dongkyoo Shin is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition, having authored 112 papers that have together received 886 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (27 papers), Information and Cyber Security (21 papers) and Advanced Steganography and Watermarking Techniques (17 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (326 citations), Health Information Management (72 citations) and Signal Processing (152 citations). Dongkyoo Shin has collaborated with scholars based in South Korea, Taiwan and China. Frequent co-authors include Dongil Shin, Cheonshik Kim, Ching‐Nung Yang, Lu Leng, Sang Soo Kim, Dongil Shin, Oh‐Jin Kwon, Donghwan Lee, Jaeil Lee and Yong-Joon Lee. Their work appears in journals such as IEEE Access, Sustainability and Neuroscience 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.

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