Shosuke Fujii
- Electrical and Electronic Engineering top 5%
- Materials Chemistry
- Biomedical Engineering
- Cellular and Molecular Neuroscience
- Artificial Intelligence
- Co-authors
- Masumi SaitohM. YamaguchiKensuke OtaRadu BerdanYoshifumi NishiJun DeguchiTakao MarukameYuuichi Kamimuta
- Topics
- Semiconductor materials and devices (37 papers)Ferroelectric and Negative Capacitance Devices (25 papers)Advanced Memory and Neural Computing (24 papers)
- Journals
- Electrochimica ActaIEEE Journal of Solid-State CircuitsIEEE Transactions on Electron Devices
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Shosuke Fujii
48 papers receiving 711 citations
Peers
Comparison fields: 5 of 38
- Electrical and Electronic Engineering 706
- Materials Chemistry 238
- Biomedical Engineering 55
- Cellular and Molecular Neuroscience 51
- Artificial Intelligence 48
Countries citing papers authored by Shosuke Fujii
This map shows the geographic impact of Shosuke Fujii'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 Shosuke Fujii with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shosuke Fujii more than expected).
Fields of papers citing papers by Shosuke Fujii
This network shows the impact of papers produced by Shosuke Fujii. 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 Shosuke Fujii. The network helps show where Shosuke Fujii may publish in the future.
Co-authorship network of co-authors of Shosuke Fujii
This figure shows the co-authorship network connecting the top 25 collaborators of Shosuke Fujii. A scholar is included among the top collaborators of Shosuke Fujii 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 Shosuke Fujii. Shosuke Fujii 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 | 1 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 183 | |
| 7 | Performance Maximization of In-Memory Reinforcement Learning with Variability-Controlled Hf1-xZrxO2 Ferroelectric Tunnel Junctions -- * | 1 |
| 8 | 7 | |
| 9 | 極薄SiN電荷トラップ層を有する金属-酸化膜-窒化膜-半導体メモリの性能と信頼性劣化とに関する再調査 | 4 |
| 10 | 2 | |
| 11 | 5 | |
| 12 | 4 | |
| 13 | 9 | |
| 14 | 9 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 15 | |
| 18 | 22 | |
| 19 | 7 | |
| 20 | 17 |
About Shosuke Fujii
Shosuke Fujii is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Polymers and Plastics, having authored 53 papers that have together received 748 indexed citations. Recurring topics across this work include Semiconductor materials and devices (37 papers), Ferroelectric and Negative Capacitance Devices (25 papers) and Advanced Memory and Neural Computing (24 papers). The work is most often cited by research in Electrical and Electronic Engineering (706 citations), Hardware and Architecture (38 citations) and Materials Chemistry (238 citations). Shosuke Fujii has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Masumi Saitoh, M. Yamaguchi, Kensuke Ota, Radu Berdan, Yoshifumi Nishi, Jun Deguchi, Takao Marukame, Yuuichi Kamimuta, Tsunehiro Ino and Yasushi Nakasaki. Their work appears in journals such as Electrochimica Acta, IEEE Journal of Solid-State Circuits and IEEE Transactions on Electron Devices.
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.