Yu SAIKI
Impact in
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- Advanced Combustion Engine Technologies
- Computational Mechanics top 5%
- Combustion and flame dynamics
- Fluid Dynamics and Turbulent Flows
Papers in
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- Combustion and flame dynamics 18
- Fluid Dynamics and Turbulent Flows 9
- Computational Fluid Dynamics and Aerodynamics 6
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- Aerodynamics and Acoustics in Jet Flows 7
- Plasma and Flow Control in Aerodynamics 4
- Combustion and Detonation Processes 3
- Rocket and propulsion systems research 3
- Co-authors
- Yuji Suzuki (11 shared papers)T. Omori (1 shared paper)Takeshi Kodama (1 shared paper)Yong Fan (3 shared papers)Nobuhide Kasagi (7 shared papers)Naoki Kurimoto (4 shared papers)Takuhiko Murakami (1 shared paper)N. Hayashi (2 shared papers)
In The Last Decade
Yu SAIKI
28 papers receiving 379 citations
Peers
Comparison fields: 5 of 60
- Fluid Flow and Transfer Processes 101
- Computational Mechanics 180
- Pollution 58
- Aerospace Engineering 104
- Safety, Risk, Reliability and Quality 29
Countries citing papers authored by Yu SAIKI
This map shows the geographic impact of Yu SAIKI'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 Yu SAIKI with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu SAIKI more than expected).
Fields of papers citing papers by Yu SAIKI
This network shows the impact of papers produced by Yu SAIKI. 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 Yu SAIKI. The network helps show where Yu SAIKI may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu SAIKI, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 159 | |
| 2 | 2012 | 78 | |
| 3 | 2015 | 49 | |
| 4 | 2010 | 21 | |
| 5 | 2010 | 16 | |
| 6 | 2015 | 13 | |
| 7 | 1978 | 11 | |
| 8 | 1989 | 10 | |
| 9 | 2018 | 8 | |
| 10 | 2018 | 4 | |
| 11 | 2013 | 4 | |
| 12 | 2016 | 3 | |
| 13 | 2020 | 3 | |
| 14 | 2016 | 3 | |
| 15 | 2007 | 2 | |
| 16 | 2013 | 2 | |
| 17 | 2017 | 2 | |
| 18 | 2009 | 2 | |
| 19 | 2015 | 2 | |
| 20 | 2016 | 2 |
About Yu SAIKI
Yu SAIKI is a scholar working on Computational Mechanics, Aerospace Engineering, Fluid Flow and Transfer Processes, Molecular Biology and Ecology, Evolution, Behavior and Systematics, having authored 31 papers that have together received 402 indexed citations. Recurring topics across this work include Combustion and flame dynamics (18 papers), Fluid Dynamics and Turbulent Flows (9 papers), Aerodynamics and Acoustics in Jet Flows (7 papers), Computational Fluid Dynamics and Aerodynamics (6 papers), Advanced Combustion Engine Technologies (5 papers), Plasma and Flow Control in Aerodynamics (4 papers), Combustion and Detonation Processes (3 papers) and Rocket and propulsion systems research (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (101 citations), Computational Mechanics (180 citations), Pollution (58 citations), Aerospace Engineering (104 citations) and Safety, Risk, Reliability and Quality (29 citations). Yu SAIKI has collaborated with scholars based in Japan and Türkiye. Frequent co-authors include Yuji Suzuki, T. Omori, Takeshi Kodama, Yong Fan, Nobuhide Kasagi, Naoki Kurimoto, Takuhiko Murakami, N. Hayashi, Takahiro Katō and Hermann Lotter. Their work appears in journals such as Flow Turbulence and Combustion, Combustion and Flame, Proceedings of the Combustion Institute, Journal of Heat Transfer and Journal of Turbulence.
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.