Yohei Nakamura

967 total citations
64 papers, 685 citations indexed

About

Yohei Nakamura is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering and Biomedical Engineering. According to data from OpenAlex, Yohei Nakamura has authored 64 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Electrical and Electronic Engineering, 13 papers in Mechanical Engineering and 11 papers in Biomedical Engineering. Recurrent topics in Yohei Nakamura's work include Silicon Carbide Semiconductor Technologies (18 papers), Advancements in Semiconductor Devices and Circuit Design (12 papers) and Semiconductor materials and devices (10 papers). Yohei Nakamura is often cited by papers focused on Silicon Carbide Semiconductor Technologies (18 papers), Advancements in Semiconductor Devices and Circuit Design (12 papers) and Semiconductor materials and devices (10 papers). Yohei Nakamura collaborates with scholars based in Japan, United States and Italy. Yohei Nakamura's co-authors include M. Nakaya, Y. Akasaka, Y. Horiba, Takahiro Miki, H. Kondoh, Akira Maeda, Takashi Satō, Michihiro Shintani, Takashi Hikihara and Ikuo Ueta and has published in prestigious journals such as Bioresource Technology, IEEE Transactions on Power Electronics and IEEE Journal of Solid-State Circuits.

In The Last Decade

Yohei Nakamura

57 papers receiving 630 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yohei Nakamura Japan 14 472 353 45 42 40 64 685
J. Banqueri Spain 15 628 1.3× 208 0.6× 36 0.8× 66 1.6× 11 0.3× 42 855
Jianfei Liu China 14 560 1.2× 211 0.6× 22 0.5× 53 1.3× 9 0.2× 124 843
Chen Taiwan 11 365 0.8× 58 0.2× 32 0.7× 75 1.8× 31 0.8× 149 512
Yao Zou China 17 636 1.3× 127 0.4× 59 1.3× 89 2.1× 8 0.2× 60 1.0k
Yongqing Wang China 15 276 0.6× 350 1.0× 45 1.0× 14 0.3× 13 0.3× 43 531
Eduardo Fontana Brazil 16 550 1.2× 325 0.9× 43 1.0× 166 4.0× 39 1.0× 75 778
Amit Banerjee India 17 313 0.7× 142 0.4× 129 2.9× 240 5.7× 143 3.6× 53 928
Tung Thanh Bui Vietnam 19 786 1.7× 482 1.4× 66 1.5× 243 5.8× 124 3.1× 173 1.3k
Junli Wang China 18 639 1.4× 171 0.5× 56 1.2× 147 3.5× 63 1.6× 101 1.0k

Countries citing papers authored by Yohei Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by Yohei Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yohei Nakamura

This figure shows the co-authorship network connecting the top 25 collaborators of Yohei Nakamura. A scholar is included among the top collaborators of Yohei Nakamura 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 Yohei Nakamura. Yohei Nakamura 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.
Yamada, Shuhei, Hajime Nakamura, T Takenaka, et al.. (2024). Serum Sodium Levels to Predict Endovascular Treatment-Needed Vasospasm Following Low-Grade Aneurysmal Subarachnoid Hemorrhage: A Retrospective Multicenter Study. Journal of Neuroendovascular Therapy. 19(1). n/a–n/a. 1 indexed citations
2.
3.
Nakamura, Yohei, Naotaka Kuroda, Ken Nakahara, Michihiro Shintani, & Takashi Satō. (2022). Evaluation of thermal couple impedance model of power modules for accurate die temperature estimation up to 200 °C. Japanese Journal of Applied Physics. 61(SC). SC1082–SC1082. 1 indexed citations
4.
Nakamura, Yohei, Michihiro Shintani, & Takashi Satō. (2022). Dominant Model-Parameter Determination for the Analysis of Current Imbalance Across Paralleled Power Transistors. IEEE Transactions on Power Electronics. 38(4). 4632–4646.
5.
Nakamura, Yohei, et al.. (2021). An electrothermal compact model of SiC MOSFETs for analyzing avalanche failure mechanisms. Japanese Journal of Applied Physics. 60(SB). SBBD11–SBBD11. 1 indexed citations
6.
Nakamura, Yohei, Michihiro Shintani, & Takashi Satō. (2021). Dominant Model Parameter Extraction for Analyzing Current Imbalance in Parallel Connected SiC MOSFETs. 5622–5628. 5 indexed citations
7.
Nakamura, Yohei, et al.. (2020). Discharge Characteristics and Electric Charge Performance of Insulation coating GND-electrodes in Electrostatic Precipitator. 44(1). 14–19. 1 indexed citations
8.
Nakamura, Yohei, et al.. (2020). High-Voltage and High-Current Id–Vds Measurement Method for Power Transistors Improved by Reducing Self-Heating. IEEE Electron Device Letters. 41(4). 581–584. 4 indexed citations
9.
Kaino, Seiji, et al.. (2020). A case of mixed neuroendocrine non-neuroendocrine neoplasm of the distal bile duct with biliary intraepithelial neoplasia. Clinical Journal of Gastroenterology. 14(1). 297–303. 3 indexed citations
10.
Nakamura, Yohei, et al.. (2019). Electrothermal Cosimulation for Predicting the Power Loss and Temperature of SiC MOSFET Dies Assembled in a Power Module. IEEE Transactions on Power Electronics. 35(3). 2950–2958. 11 indexed citations
11.
Shintani, Michihiro, et al.. (2018). Surface-Potential-Based Silicon Carbide Power MOSFET Model for Circuit Simulation. IEEE Transactions on Power Electronics. 33(12). 10774–10783. 23 indexed citations
12.
Aoki, Hitoshi, et al.. (2018). A scalable drain current model of AlN/GaN MIS-HEMTs with embedded source field-plate structures. 2842–2847. 4 indexed citations
13.
Shintani, Michihiro, Yohei Nakamura, Masayuki Hiromoto, Takashi Hikihara, & Takashi Satō. (2017). Measurement and modeling of gate–drain capacitance of silicon carbide vertical double-diffused MOSFET. Japanese Journal of Applied Physics. 56(4S). 04CR07–04CR07. 14 indexed citations
14.
Okuda, Takafumi, Yohei Nakamura, Takashi Hikihara, Michihiro Shintani, & Takashi Satō. (2016). Analysis of transient behavior of SiC power MOSFETs based on surface potential model and its application to boost converter. 101–104. 1 indexed citations
15.
Nakamura, Yohei, et al.. (2015). ICOPE-15-1164 Development of high-efficiency and low-cost shroudless turbine for small hydropower generation plant. 2015.12(0). _ICOPE–15. 3 indexed citations
16.
Takahashi, Masao, et al.. (2010). Field test of DC optical current transformer for HVDC Link. 1–6. 18 indexed citations
17.
Hatano, Ken‐ichi, et al.. (2009). Novel strategy using an adsorbent-column chromatography for effective ethanol production from sugarcane or sugar beet molasses. Bioresource Technology. 100(20). 4697–4703. 29 indexed citations
18.
Kashiwada, Ayumi, Yohei Nakamura, & Kiyomi Matsuda. (2005). Fluorescence resonance energy transfer by α-helical coiled coil polypeptides in response to metal ions. Sensors and Actuators B Chemical. 108(1-2). 845–850. 8 indexed citations
19.
Cai, Chang, Yohei Nakamura, K. Mohri, Y. Honkura, & M. Mori. (2002). Switch-type MI Sensor Using Amorphous Wire and CMOS IC with Positive Feedback.. Journal of the Magnetics Society of Japan. 26(4). 551–554. 4 indexed citations
20.
Nakamura, Yohei, et al.. (1990). A 10-bit 70 MS/s CMOS D/A converter. 57–58. 8 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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