Jun Hayashi
- Computational Mechanics top 2%
- Fluid Flow and Transfer Processes top 2%
- Radiology, Nuclear Medicine and Imaging top 10%
- Biomedical Engineering
- Aerospace Engineering top 10%
- Co-authors
- Fumiteru AKAMATSUNoriaki NAKATSUKAHiroaki WatanabeNozomu HashimotoSergey StepanyanGabi-Daniel StancuChristophe O. LauxHisao Makino
- Topics
- Combustion and flame dynamics (43 papers)Advanced Combustion Engine Technologies (31 papers)Thermochemical Biomass Conversion Processes (12 papers)
- Cited by
- Fluid Flow and Transfer ProcessesComputational MechanicsRadiology, Nuclear Medicine and Imaging
- Journals
- SHILAP Revista de lepidopterologíaJournal of Applied PhysicsInternational Journal of Heat and Mass Transfer
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Jun Hayashi
69 papers receiving 666 citations
Peers
Comparison fields: 5 of 86
- Computational Mechanics 378
- Fluid Flow and Transfer Processes 248
- Radiology, Nuclear Medicine and Imaging 156
- Biomedical Engineering 149
- Aerospace Engineering 145
Countries citing papers authored by Jun Hayashi
This map shows the geographic impact of Jun Hayashi'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 Jun Hayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Hayashi more than expected).
Fields of papers citing papers by Jun Hayashi
This network shows the impact of papers produced by Jun Hayashi. 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 Jun Hayashi. The network helps show where Jun Hayashi may publish in the future.
Co-authorship network of co-authors of Jun Hayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Jun Hayashi. A scholar is included among the top collaborators of Jun Hayashi 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 Jun Hayashi. Jun Hayashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 0 | |
| 16 | Measurement of spray characteristics of coaxial jet spray flames under high pressure | 1 |
| 17 | [A case of amyopathic dermatomyositis with systemic sclerosis sine scleroderma presenting abnormal vermiculation]. | 4 |
| 18 | 4 | |
| 19 | 2 | |
| 20 | 0 |
About Jun Hayashi
Jun Hayashi is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Microbiology, having authored 84 papers that have together received 677 indexed citations. Recurring topics across this work include Combustion and flame dynamics (43 papers), Advanced Combustion Engine Technologies (31 papers) and Thermochemical Biomass Conversion Processes (12 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (248 citations), Computational Mechanics (378 citations) and Radiology, Nuclear Medicine and Imaging (156 citations). Jun Hayashi has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Fumiteru AKAMATSU, Noriaki NAKATSUKA, Hiroaki Watanabe, Nozomu Hashimoto, Sergey Stepanyan, Gabi-Daniel Stancu, Christophe O. Laux, Hisao Makino, Hirofumi TSUJI and Ryoichi Kurose. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and International Journal of Heat and Mass Transfer.
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.