Shusuke Yoshimoto

1.2k total citations
70 papers, 948 citations indexed

About

Shusuke Yoshimoto is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Hardware and Architecture. According to data from OpenAlex, Shusuke Yoshimoto has authored 70 papers receiving a total of 948 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Electrical and Electronic Engineering, 19 papers in Biomedical Engineering and 12 papers in Hardware and Architecture. Recurrent topics in Shusuke Yoshimoto's work include Low-power high-performance VLSI design (19 papers), Advanced Sensor and Energy Harvesting Materials (15 papers) and Semiconductor materials and devices (15 papers). Shusuke Yoshimoto is often cited by papers focused on Low-power high-performance VLSI design (19 papers), Advanced Sensor and Energy Harvesting Materials (15 papers) and Semiconductor materials and devices (15 papers). Shusuke Yoshimoto collaborates with scholars based in Japan, Ireland and United States. Shusuke Yoshimoto's co-authors include Tsuyoshi Sekitani, Takafumi Uemura, Teppei Araki, Yuki Noda, Masaya Kondo, Hiroshi Kawaguchi, Masahiko Yoshimoto, Shintaro Izumi, M. Akiyama and Naoko Namba and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Shusuke Yoshimoto

68 papers receiving 936 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shusuke Yoshimoto Japan 16 496 453 178 171 133 70 948
Yongsu Lee South Korea 14 525 1.1× 562 1.2× 78 0.4× 65 0.4× 84 0.6× 35 910
Jihye Kim South Korea 10 362 0.7× 799 1.8× 205 1.2× 151 0.9× 64 0.5× 60 1.3k
Marco Crepaldi Italy 19 615 1.2× 572 1.3× 45 0.3× 168 1.0× 174 1.3× 115 1.1k
Sohmyung Ha South Korea 18 989 2.0× 566 1.2× 58 0.3× 147 0.9× 352 2.6× 127 1.3k
Rebecca Ho United States 8 524 1.1× 674 1.5× 220 1.2× 174 1.0× 107 0.8× 13 1.2k
Stephen Deiss United States 12 697 1.4× 347 0.8× 67 0.4× 333 1.9× 323 2.4× 25 1.2k
Ifana Mahbub United States 15 614 1.2× 600 1.3× 83 0.5× 65 0.4× 97 0.7× 145 1.1k
Stefano Stanzione Netherlands 15 467 0.9× 448 1.0× 45 0.3× 54 0.3× 128 1.0× 31 728
Dong‐Woo Jee South Korea 13 507 1.0× 493 1.1× 27 0.2× 65 0.4× 146 1.1× 43 746
Dina El-Damak United States 14 548 1.1× 361 0.8× 25 0.1× 164 1.0× 192 1.4× 27 1.1k

Countries citing papers authored by Shusuke Yoshimoto

Since Specialization
Citations

This map shows the geographic impact of Shusuke Yoshimoto'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 Shusuke Yoshimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shusuke Yoshimoto more than expected).

Fields of papers citing papers by Shusuke Yoshimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shusuke Yoshimoto. 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 Shusuke Yoshimoto. The network helps show where Shusuke Yoshimoto may publish in the future.

Co-authorship network of co-authors of Shusuke Yoshimoto

This figure shows the co-authorship network connecting the top 25 collaborators of Shusuke Yoshimoto. A scholar is included among the top collaborators of Shusuke Yoshimoto 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 Shusuke Yoshimoto. Shusuke Yoshimoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yoshimoto, Shusuke, et al.. (2025). Classification accuracy of pain intensity induced by leg blood flow restriction during walking using machine learning based on electroencephalography. Scientific Reports. 15(1). 27955–27955. 1 indexed citations
2.
Hata, Masahiro, Takufumi Yanagisawa, Kenji Yoshiyama, et al.. (2025). Accurate deep-learning model to differentiate dementia severity and diagnosis using a portable electroencephalography device. Scientific Reports. 15(1). 26304–26304. 1 indexed citations
3.
Yoshimoto, Shusuke, et al.. (2022). HARU Sleep: A Deep Learning-Based Sleep Scoring System With Wearable Sheet-Type Frontal EEG Sensors. IEEE Access. 10. 13624–13632. 16 indexed citations
4.
Egawa, Naohiro, Shusuke Yoshimoto, Haruo Mizutani, et al.. (2022). Predictive Diagnostic Approach to Dementia and Dementia Subtypes Using Wireless and Mobile Electroencephalography: A Pilot Study. PubMed. 4(1). 3–11. 3 indexed citations
5.
Araki, Teppei, Yuki Noda, Takafumi Uemura, et al.. (2019). Fine printing method of silver nanowire electrodes with alignment and accumulation. Nanotechnology. 30(37). 37LT03–37LT03. 13 indexed citations
6.
Kondo, Masaya, Takashi Kajitani, Takafumi Uemura, et al.. (2019). Highly-ordered Triptycene Modifier Layer Based on Blade Coating for Ultraflexible Organic Transistors. Scientific Reports. 9(1). 9200–9200. 25 indexed citations
7.
Egawa, Naohiro, Shusuke Yoshimoto, Haruo Mizutani, et al.. (2019). Potential Clinical Applications and Future Prospect of Wireless and Mobile Electroencephalography on the Assessment of Cognitive Impairment. PubMed. 1(2). 105–112. 8 indexed citations
8.
Mori, H., Kenta Takagi, Shusuke Yoshimoto, et al.. (2018). A 28-nm FD-SOI 8T Dual-Port SRAM for Low-Energy Image Processor With Selective Sourceline Drive Scheme. IEEE Transactions on Circuits and Systems I Regular Papers. 66(4). 1442–1453. 4 indexed citations
9.
Yoshimoto, Shusuke, Yuki Noda, Teppei Araki, et al.. (2017). Flexible sensor sheet for real-time pressure monitoring in artificial knee joint during total knee arthroplasty. PubMed. 2017. 1591–1594. 6 indexed citations
10.
Yoshimoto, Shusuke, et al.. (2016). A Counter-based Read Circuit Tolerant to Process Variation for 0.4-V Operating STT-MRAM. 9(0). 79–83. 1 indexed citations
11.
Izumi, Shintaro, Ken Yamashita, Shusuke Yoshimoto, et al.. (2014). A 6.14µA normally-off ECG-SoC with noise tolerant heart rate extractor for wearable healthcare systems. 280–283. 9 indexed citations
12.
Yoshimoto, Shusuke, Koji Nii, Hiroshi Kawaguchi, & Masahiko Yoshimoto. (2013). Multiple-cell-upset hardened 6T SRAM using NMOS-centered layout. 98–99. 4 indexed citations
13.
Yoshimoto, Shusuke, et al.. (2012). A 128-bit Chip Identification Generating Scheme Exploiting SRAM Bitcells with Failure Rate of 4.45 × 10^. 112(15). 97–102. 2 indexed citations
14.
Yoshimoto, Shusuke, et al.. (2012). Bit-Error and Soft-Error Resilient 7T/14T SRAM with 150-nm FD-SOI Process. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E95.A(8). 1359–1365. 1 indexed citations
15.
16.
Yoshimoto, Shusuke, et al.. (2011). A 40-nm 0.5-V 20.1-µW/MHz 8T SRAM with low-energy disturb mitigation scheme. 72–73. 12 indexed citations
17.
18.
Takahashi, Joseph S., et al.. (1992). Decrease in plasma GLP-1 immunoreactivity in starved rats. Diabetes Research and Clinical Practice. 15(3). 205–212. 3 indexed citations
19.
Wakabayashi, Ichiro, et al.. (1992). Relation of serum sialic acid to lipid concentrations.. BMJ. 305(6853). 562–563. 33 indexed citations
20.
Sakamoto, Kunihiro, et al.. (1988). Serum and erythrocyte magnesium levels in junior high school students: relation to blood pressure and a family history of hypertension.. PubMed. 7(4). 188–94. 5 indexed citations

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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