Kan Yasuda

1.2k citations
17 papers · 93 · h-index 5

Impact in

Papers in

Kan Yasuda

13 papers receiving 86 citations

Peers

Kan Yasuda
Comparison fields: 5 of 13
  • Computer Vision and Pattern Recognition 58
  • Artificial Intelligence 81
  • Hardware and Architecture 10
  • Signal Processing 6
  • Discrete Mathematics and Combinatorics 1
Replace Patrick Derbez with:
Patrick Derbez France
Keting Jia China
Virginie Lallemand France
Sebastian Szyller Canada
Xiaohan Chen United States
Taizo Shirai Japan
David Gérault Singapore
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Itai Dinur Israel
Kan Yasuda relative to Patrick Derbez France Patrick Derbez's profile →
Citations per field
00.5×7.5×
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Citations per year

Countries citing papers authored by Kan Yasuda

Since Specialization
Citations

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

Fields of papers citing papers by Kan Yasuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Kan Yasuda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kan Yasuda Line = papers co-authored together Kan Yasuda links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201838
2 201822
3 20206
4 20106
5 20186
6 20183
7
How to Securely Release Unverified Plaintext in Authenticated Encryption
20142
8 20192
9 20202
10 20112
11 19992
12 20241
13 20121
14
Parallelizable and Authenticated Online Ciphers
20130
15 20240
16 20120
17 20240

About Kan Yasuda

Kan Yasuda is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Sociology and Political Science and Infectious Diseases, having authored 17 papers that have together received 93 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (11 papers), Chaos-based Image/Signal Encryption (10 papers), Coding theory and cryptography (9 papers), Cryptography and Data Security (6 papers), Advanced Malware Detection Techniques (2 papers), Privacy-Preserving Technologies in Data (1 paper) and Privacy, Security, and Data Protection (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (58 citations), Artificial Intelligence (81 citations), Hardware and Architecture (10 citations), Signal Processing (6 citations) and Discrete Mathematics and Combinatorics (1 citation). Kan Yasuda has collaborated with scholars based in Japan, India and Netherlands. Frequent co-authors include Mridul Nandi, Nilanjan Datta, Yu Sasaki, Bart Mennink, Atul Luykx, Philipp Jovanovic, Arthur T. Benjamin, Avijit Dutta, Nicky Mouha and Koutarou Suzuki. Their work appears in journals such as Journal of Cryptology, IACR Transactions on Symmetric Cryptology, Advances in Mathematics of Communications, IACR Transactions on Cryptographic Hardware and Embedded Systems and IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences.

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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