Junko Nakajima
- Molecular Biology
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Cell Biology
- Organic Chemistry
- Co-authors
- Shuichi TsujiYoshitaka NagaiMitsuru MatsuiToshio TokitaKazumaro AokiMasayuki KandaTetsuya IchikawaShiho Moriai
- Topics
- Cryptographic Implementations and Security (4 papers)Chaos-based Image/Signal Encryption (3 papers)Coding theory and cryptography (3 papers)
- Journals
- The Journal of BiochemistryIEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences
- Partner nations
- Japan
In The Last Decade
Junko Nakajima
8 papers receiving 129 citations
Peers
Comparison fields: 5 of 35
- Molecular Biology 87
- Artificial Intelligence 40
- Computer Vision and Pattern Recognition 22
- Cell Biology 21
- Organic Chemistry 16
Countries citing papers authored by Junko Nakajima
This map shows the geographic impact of Junko Nakajima'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 Junko Nakajima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junko Nakajima more than expected).
Fields of papers citing papers by Junko Nakajima
This network shows the impact of papers produced by Junko Nakajima. 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 Junko Nakajima. The network helps show where Junko Nakajima may publish in the future.
Co-authorship network of co-authors of Junko Nakajima
This figure shows the co-authorship network connecting the top 25 collaborators of Junko Nakajima. A scholar is included among the top collaborators of Junko Nakajima 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 Junko Nakajima. Junko Nakajima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Performance Analysis and Parallel Implementation of Dedicated Hash Functions on Pentium III | 2 |
| 2 | The 128-Bit Block Cipher Camellia | 1 |
| 3 | Speci cation of Camellia | a 128-bit Block Cipher | 3 |
| 4 | Camellia: A 128-Bit Block Cipher Suitable for Multiple Platforms | 20 |
| 5 | Fast Software Implementations of MISTY1 on Alpha Processors | 8 |
| 6 | A Small and Fast Software Implementation of Elliptic Curve Cryptosystems over GF ( p ) on a 16-Bit Microcomputer | 8 |
| 7 | A Small and Fast Software Implementation of Elliptic Curve Cryptosystems over GF(p) on a 16-Bit Microcomputer (Special Section on Cryptography and Information Security) | 1 |
| 8 | 90 |
About Junko Nakajima
Junko Nakajima is a scholar working on Hardware and Architecture, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 8 papers that have together received 133 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (4 papers), Chaos-based Image/Signal Encryption (3 papers) and Coding theory and cryptography (3 papers). The work is most often cited by research in Cell Biology (21 citations), Molecular Biology (87 citations) and Artificial Intelligence (40 citations). Junko Nakajima has collaborated with scholars based in Japan. Frequent co-authors include Shuichi Tsuji, Yoshitaka Nagai, Mitsuru Matsui, Toshio Tokita, Kazumaro Aoki, Masayuki Kanda, Tetsuya Ichikawa and Shiho Moriai. Their work appears in journals such as The Journal of Biochemistry 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.