Yu Sasaki
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Hardware and Architecture top 10%
- Signal Processing
- Electrical and Electronic Engineering
- Co-authors
- Yosuke TodoThomas PeyrinSiang Meng SimSubhadeep BanikSumit PandeyLing SongTao HuangCarlos Cid
- Topics
- Cryptographic Implementations and Security (40 papers)Coding theory and cryptography (29 papers)Chaos-based Image/Signal Encryption (25 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on ComputersJournal of Cryptology
In The Last Decade
Yu Sasaki
39 papers receiving 332 citations
Peers
Comparison fields: 5 of 19
- Artificial Intelligence 324
- Computer Vision and Pattern Recognition 229
- Hardware and Architecture 70
- Signal Processing 41
- Electrical and Electronic Engineering 24
Countries citing papers authored by Yu Sasaki
This map shows the geographic impact of Yu Sasaki'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 Yu Sasaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Sasaki more than expected).
Fields of papers citing papers by Yu Sasaki
This network shows the impact of papers produced by Yu Sasaki. 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 Yu Sasaki. The network helps show where Yu Sasaki may publish in the future.
Co-authorship network of co-authors of Yu Sasaki
This figure shows the co-authorship network connecting the top 25 collaborators of Yu Sasaki. A scholar is included among the top collaborators of Yu Sasaki 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 Yu Sasaki. Yu Sasaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 2 | |
| 4 | 10 | |
| 5 | 9 | |
| 6 | GIFT: A Small Present Towards Reaching the Limit of Lightweight Encryption | 67 |
| 7 | New Impossible Differential Search Tool from Design and Cryptanalysis Aspects - Revealing Structural Properties of Several Ciphers. | 33 |
| 8 | 27 | |
| 9 | 6 | |
| 10 | 22 | |
| 11 | 3 | |
| 12 | 5 | |
| 13 | 0 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | Limited-birthday Distinguishers for Hash Functions - Collisions Beyond the Birthday Bound can be Meaningful. | 5 |
| 18 | 1 | |
| 19 | 2 | |
| 20 | Improved Collision Attack on MD5 | 0 |
About Yu Sasaki
Yu Sasaki is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 43 papers that have together received 344 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (40 papers), Coding theory and cryptography (29 papers) and Chaos-based Image/Signal Encryption (25 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (229 citations), Hardware and Architecture (70 citations) and Artificial Intelligence (324 citations). Yu Sasaki has collaborated with scholars based in Japan, Singapore and France. Frequent co-authors include Yosuke Todo, Thomas Peyrin, Siang Meng Sim, Subhadeep Banik, Sumit Pandey, Ling Song, Tao Huang, Carlos Cid, Jérémy Jean and Gregor Leander. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Computers and Journal of Cryptology.
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.