Yuichiro Shibata

83 papers receiving 367 citations

Peers

Yuichiro Shibata
Comparison fields: 5 of 63
  • Electrical and Electronic Engineering 191
  • Computer Vision and Pattern Recognition 148
  • Hardware and Architecture 63
  • Artificial Intelligence 46
  • Aerospace Engineering 33
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Citations per field
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Citations per year

Countries citing papers authored by Yuichiro Shibata

Since Specialization
Citations

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

Fields of papers citing papers by Yuichiro Shibata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuichiro Shibata

This figure shows the co-authorship network connecting the top 25 collaborators of Yuichiro Shibata. A scholar is included among the top collaborators of Yuichiro Shibata 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 Yuichiro Shibata. Yuichiro Shibata 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
#WorkIndexed citations
1 6
2 1
3 1
4 1
5 3
6 6
7 3
8 0
9 12
10 1
11
Accelerating finite field arithmetic with a suitable word size
0
12 1
13
High Speed Soft-Start DC-DC Converter for Energy Management in Data Center
1
14
Development of Digital Peak-Current-Mode and Fast Feedback Control DC-DC Converter System in Green IT Project
8
15
FPGA implementation and accuracy evaluation of a power-supply voltage control circuit
2
16
Accelerating collapsed variational bayesian inference for latent dirichlet allocation with nvidia CUDA compatible devices
1
17
Retrieving 3D infomation with streamed template matching
1
18 2
19
An Analysis of Fixed Point Arithmetic for DRP
0
20
Total System Image of the Reconfigurable Machine WASMII.
1

About Yuichiro Shibata

Yuichiro Shibata is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Media Technology, having authored 95 papers that have together received 387 indexed citations. Recurring topics across this work include Advanced DC-DC Converters (30 papers), Embedded Systems Design Techniques (17 papers) and Advanced Vision and Imaging (17 papers). The work is most often cited by research in Hardware and Architecture (63 citations), Computer Vision and Pattern Recognition (148 citations) and Electrical and Electronic Engineering (191 citations). Yuichiro Shibata has collaborated with scholars based in Japan, United Kingdom and Türkiye. Frequent co-authors include Kiyoshi Oguri, Fujio Kurokawa, Keiichi Hirose, Hidenori Maruta, Toru Tanaka, Tsuyoshi Hamada, Makoto Taiji, Yousuke Ohno, Khaled Benkrid and Keigo Nitadori. Their work appears in journals such as IEEE Transactions on Power Electronics, Lecture notes in computer science and IEICE Transactions on Communications.

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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