Dongil Shin

1.4k citations
79 papers · 789 indexed · h-index 15
Topics
Network Security and Intrusion Detection (16 papers)Tribology and Lubrication Engineering (10 papers)Context-Aware Activity Recognition Systems (10 papers)

In The Last Decade

Dongil Shin

73 papers receiving 730 citations

Peers

Dongil Shin
Comparison fields: 5 of 104
  • Artificial Intelligence 273
  • Computer Networks and Communications 214
  • Information Systems 114
  • Signal Processing 109
  • Health Information Management 107
Replace Eman M. G. Younis with:
Eman M. G. Younis Egypt
Chung Kit Wu Hong Kong
Sanam Shahla Rizvi South Korea
Peerapong Uthansakul Thailand
Md. Mahmudul Hasan Bangladesh
Shakila Basheer Saudi Arabia
Franca Delmastro Italy
Hongxu Zhu China
Saad Almutairi Saudi Arabia
R Surendran India
Dongil Shin relative to Eman M. G. Younis Egypt Eman M. G. Younis's profile →
Citations per field
00.5×4.3×
Eman M. G. Younis · 1×
Citations per year

Countries citing papers authored by Dongil Shin

Since Specialization
Citations

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

Fields of papers citing papers by Dongil Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongil Shin

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

About Dongil Shin

Dongil Shin is a scholar working on Health Information Management, Computer Networks and Communications and Human-Computer Interaction, having authored 79 papers that have together received 789 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (16 papers), Tribology and Lubrication Engineering (10 papers) and Context-Aware Activity Recognition Systems (10 papers). The work is most often cited by research in Health Information Management (107 citations), Signal Processing (109 citations) and Computer Networks and Communications (214 citations). Dongil Shin has collaborated with scholars based in South Korea, United States and Taiwan. Frequent co-authors include Dongkyoo Shin, Alan Palazzolo, Sang Soo Kim, Jae-Hyun Ahn, Jihoon Yang, Oh‐Jin Kwon, Junho Suh, Quoc Cuong Nguyen, Juhan Kim and Yong‐Hyun Kim. Their work appears in journals such as IEEE Access, Sensors and Journal of Sound and Vibration.

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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