Shosuke Fujii

946 citations
53 papers · 748 indexed · h-index 15

Shosuke Fujii

48 papers receiving 711 citations

Peers

Shosuke Fujii
Comparison fields: 5 of 38
  • Electrical and Electronic Engineering 706
  • Hardware and Architecture 38
  • Materials Chemistry 238
  • Polymers and Plastics 42
  • Cellular and Molecular Neuroscience 51
Replace Yoon-Jong Song with:
Yoon-Jong Song South Korea
Tathagata Srimani United States
Mindy D. Bishop United States
Kai‐Shin Li Taiwan
Takeshi Takagi Japan
Tiancheng Gong China
Zheng Chai United Kingdom
Frederick T. Chen Taiwan
Benjamin Grisafe United States
Shosuke Fujii relative to Yoon-Jong Song South Korea Yoon-Jong Song's profile →
Citations per field
00.5×10×14×
Yoon-Jong Song · 1×
Citations per year

Countries citing papers authored by Shosuke Fujii

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Shosuke Fujii, 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 Shosuke Fujii Line = papers co-authored together Shosuke Fujii links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20243
4 20230
5 20231
6 2020183
7
Performance Maximization of In-Memory Reinforcement Learning with Variability-Controlled Hf1-xZrxO2 Ferroelectric Tunnel Junctions -- *
20201
8 20197
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
20124
10 20122
11 20115
12 20114
13 20109
14 20109
15 20092
16 20071
17 200615
18 199622
19 19917
20 198517

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), Advanced Memory and Neural Computing (24 papers), Advancements in Semiconductor Devices and Circuit Design (21 papers), Low-power high-performance VLSI design (6 papers), Integrated Circuits and Semiconductor Failure Analysis (5 papers), Molecular Junctions and Nanostructures (3 papers) and Electronic and Structural Properties of Oxides (3 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.

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