Takuya Hayashi
- Artificial Intelligence top 1%
- Information Systems top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Le Trieu PhongYoshinori AonoShiho MoriaiLihua WangKeita EmuraKazuhide ItoMasao SatoKayo Kurotani
- Topics
- Cryptography and Data Security (15 papers)Privacy-Preserving Technologies in Data (9 papers)Cryptographic Implementations and Security (5 papers)
In The Last Decade
Takuya Hayashi
31 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Artificial Intelligence 1.2k
- Information Systems 215
- Electrical and Electronic Engineering 139
- Computer Vision and Pattern Recognition 129
- Computer Networks and Communications 116
Countries citing papers authored by Takuya Hayashi
This map shows the geographic impact of Takuya Hayashi'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 Takuya Hayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takuya Hayashi more than expected).
Fields of papers citing papers by Takuya Hayashi
This network shows the impact of papers produced by Takuya Hayashi. 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 Takuya Hayashi. The network helps show where Takuya Hayashi may publish in the future.
Co-authorship network of co-authors of Takuya Hayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Takuya Hayashi. A scholar is included among the top collaborators of Takuya Hayashi 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 Takuya Hayashi. Takuya Hayashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | Privacy-Preserving Deep Learning via Additively Homomorphic Encryptionbreakdown → | 1068 |
| 6 | 6 | |
| 7 | 23 | |
| 8 | 17 | |
| 9 | 36 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | A light-weight group signature scheme with time-token dependent linking | 1 |
| 13 | Toward securing tire pressure monitoring systems: A case of PRESENT-based implementation | 2 |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 18 | |
| 17 | SNOW-MELTING USING DIRECT GEOTHERMAL ENERGY | 2 |
| 18 | 10 | |
| 19 | 6 | |
| 20 | The histopathology of familial exudative vitreoretinopathy | 3 |
About Takuya Hayashi
Takuya Hayashi is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Nutrition and Dietetics, having authored 33 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cryptography and Data Security (15 papers), Privacy-Preserving Technologies in Data (9 papers) and Cryptographic Implementations and Security (5 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Health Informatics (31 citations) and Computer Science Applications (92 citations). Takuya Hayashi has collaborated with scholars based in Japan, Belgium and Sri Lanka. Frequent co-authors include Le Trieu Phong, Yoshinori Aono, Shiho Moriai, Lihua Wang, Lihua Wang, Keita Emura, Kazuhide Ito, Masao Sato, Kayo Kurotani and Tetsuya Mizoue. Their work appears in journals such as PLoS ONE, Journal of Nutrition and IEEE Transactions on Vehicular Technology.
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.