Yukio Matsui

27 papers receiving 675 citations

Peers

Yukio Matsui
Comparison fields: 5 of 30
  • Fluid Flow and Transfer Processes 681
  • Computational Mechanics 443
  • Automotive Engineering 305
  • Biomedical Engineering 297
  • Materials Chemistry 155
Replace Shin Matsuoka with:
Shin Matsuoka Japan
Axel O. zur Loye United States
R.S.G. Baert Netherlands
Christoph Espey United States
W. Stuart Neill Canada
Kiyomi Nakakita Switzerland
Frederick H. Trinker United States
Benoist Thirouard France
Scott A. Miers United States
Glen C. Martin United States
Yukio Matsui relative to Shin Matsuoka Japan Shin Matsuoka's profile →
Citations per field
00.5×1.7×
Shin Matsuoka · 1×
Citations per year

Countries citing papers authored by Yukio Matsui

Since Specialization
Citations

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

Fields of papers citing papers by Yukio Matsui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yukio Matsui

This figure shows the co-authorship network connecting the top 25 collaborators of Yukio Matsui. A scholar is included among the top collaborators of Yukio Matsui 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 Yukio Matsui. Yukio Matsui 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 7
2
A Study on Heat Loss in DI Diesel Engines
1
3 1
4 8
5 89
6
Two-Dimensional Imaging of Early Stage of Soot Formation in Diesel Spray Flame by LIF technique
3
7 1
8 4
9 22
10 24
11 34
12 76
13 44
14
A Study on Soot and NO Formation by Means of Incylinder Gas. Sampling in a DI Diesel Engine : 2nd Report, Influence of InjectionTiming, Swirl Ratio and Combustion Chamber Shape
1
15 85
16 76
17 2
18 28
19
A GAS SAMPLING STUDY ON THE FORMATION PROCESSES OF SOOT AND NO (NITRIC OXIDE) IN A DI (DIRECT INJECTION) DIESEL ENGINE
51
20
A STUDY ON THE TIME AND SPACE RESOLVED MEASUREMENT OF FLAME TEMPERATURE AND SOOT CONCENTRATION IN A D.I. (DIRECT INJECTION) DIESEL ENGINE BY THE TWO-COLOR METHOD
61

About Yukio Matsui

Yukio Matsui is a scholar working on Fluid Flow and Transfer Processes, Automotive Engineering and Computational Mechanics, having authored 29 papers that have together received 791 indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (27 papers), Vehicle emissions and performance (14 papers) and Combustion and flame dynamics (10 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (681 citations), Automotive Engineering (305 citations) and Computational Mechanics (443 citations). Yukio Matsui has collaborated with scholars based in Japan, United Kingdom and Russia. Frequent co-authors include Takeyuki Kamimoto, Shin Matsuoka, Satoshi Matsuoka, Yuzo Aoyagi, Hideyuki Ogawa, Yoshiteru Enomoto, Shuji Kimura, Hidenori Kosaka, Y. Aoyagi and Tetsuya Aizawa. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, International Journal of Engine Research and JSAE Review.

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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