Joo Yeon Cho

14 papers receiving 110 citations

Peers

Joo Yeon Cho
Comparison fields: 5 of 31
  • Electrical and Electronic Engineering 75
  • Artificial Intelligence 52
  • Computer Networks and Communications 26
  • Computer Vision and Pattern Recognition 14
  • Information Systems 10
Replace Rudai Yan with:
Rudai Yan Singapore
Scott Fluhrer United States
Jean-Christophe Deneuville France
Rafael G. L. D’Oliveira United States
Himali Sarangal India
Rafael Misoczki United States
N. Prasanth Anthapadmanabhan United States
Pierre Loidreau France
Raphael Overbeck Germany
John Mattsson Sweden
Joo Yeon Cho relative to Rudai Yan Singapore Rudai Yan's profile →
Citations per field
00.5×3.5×
Rudai Yan · 1×
Citations per year

Countries citing papers authored by Joo Yeon Cho

Since Specialization
Citations

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

Fields of papers citing papers by Joo Yeon Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joo Yeon Cho. 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 Joo Yeon Cho. The network helps show where Joo Yeon Cho may publish in the future.

Co-authorship network of co-authors of Joo Yeon Cho

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 61
2 7
3 1
4 8
5 10
6 2
7 2
8 9
9 1
10 4
11
Improved Linear Cryptanalysis of SMS4 Block Cipher
3
12 2
13
Formal analysis of card-based payment systems in mobile devices
7
14
Algebraic attacks on SOBER-t32 and SOBER-t16 without stuttering
3

About Joo Yeon Cho

Joo Yeon Cho is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 120 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (4 papers), Cryptography and Data Security (3 papers) and Coding theory and cryptography (3 papers). The work is most often cited by research in Artificial Intelligence (52 citations), Electrical and Electronic Engineering (75 citations) and Computer Networks and Communications (26 citations). Joo Yeon Cho has collaborated with scholars based in Germany, Australia and United Kingdom. Frequent co-authors include Helmut Grießer, Khouloud Abdelli, Stephan Pachnicke, Kaisa Nyberg, Josef Pieprzyk, Huaxiong Wang, Thomas Szyrkowiec, Catherine White, Andrew Lord and Jörg-Peter Elbers. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Cryptology and Journal of Optical Communications and Networking.

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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