Sooyeon Shin

576 citations
19 papers · 404 indexed · h-index 8
Topics
User Authentication and Security Systems (7 papers)Advanced Authentication Protocols Security (5 papers)Security in Wireless Sensor Networks (5 papers)
Partner nations
South Korea

In The Last Decade

Sooyeon Shin

17 papers receiving 376 citations

Peers

Sooyeon Shin
Comparison fields: 5 of 45
  • Computer Networks and Communications 276
  • Information Systems 197
  • Signal Processing 100
  • Artificial Intelligence 83
  • Electrical and Electronic Engineering 52
Replace Thomas Kothmayr with:
Thomas Kothmayr Germany
Yue-Hsun Lin Taiwan
Tianbo Gu United States
Jevgenijus Toldinas Lithuania
Vasaka Visoottiviseth Thailand
Mohammed Mujib Alshahrani Saudi Arabia
Hasan Tahir Pakistan
Anni Peng China
Amar Kumar Mohapatra India
Olivier Mehani Australia
Sooyeon Shin relative to Thomas Kothmayr Germany Thomas Kothmayr's profile →
Citations per field
00.5×5.7×
Thomas Kothmayr · 1×
Citations per year

Countries citing papers authored by Sooyeon Shin

Since Specialization
Citations

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

Fields of papers citing papers by Sooyeon Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sooyeon Shin

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 79
2 48
3 7
4 25
5 3
6 1
7 0
8 46
9 1
10 6
11
A Survey of Public Provable Data Possession Schemes with Batch Verification in Cloud Storage.
12
12
Trend Analysis of Moving Wireless Backhaul Technologies for Mobile Hotspot Networks
3
13 5
14 3
15 1
16 42
17
STM-GOMS Model: A Security Model for Authentication Schemes in Mobile Smart Device Environments *
0
18 3
19 119

About Sooyeon Shin

Sooyeon Shin is a scholar working on Computer Networks and Communications, Signal Processing and Human-Computer Interaction, having authored 19 papers that have together received 404 indexed citations. Recurring topics across this work include User Authentication and Security Systems (7 papers), Advanced Authentication Protocols Security (5 papers) and Security in Wireless Sensor Networks (5 papers). The work is most often cited by research in Computer Networks and Communications (276 citations), Signal Processing (100 citations) and Information Systems (197 citations). Sooyeon Shin has collaborated with scholars based in South Korea. Frequent co-authors include Taekyoung Kwon, Taekyoung Kwon, Minwoo Kim, Jae‐Won Suh, Hyun‐Soo Kang, Hwan Seok Chung, Bing Hui, Sooyong Choi and Sung–Woo Choi. Their work appears in journals such as IEEE Access, Sensors and IEEE Transactions on Industrial Informatics.

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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