Keiji Yasuda
- Materials Chemistry top 10%
- Biomedical Engineering top 5%
- Water Science and Technology top 5%
- Mechanical Engineering top 10%
- Electrical and Electronic Engineering
- Co-authors
- Yoshiyuki AsakuraShinobu KodaZheng XuYoshiyuki BandoThanh Tam NguyenMasaaki NakamuraHiroyasu NomuraYoshihiro Kojima
- Topics
- Ultrasound and Cavitation Phenomena (37 papers)Electrohydrodynamics and Fluid Dynamics (15 papers)Fluid Dynamics and Mixing (15 papers)
In The Last Decade
Keiji Yasuda
98 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 117
- Materials Chemistry 705
- Biomedical Engineering 703
- Water Science and Technology 380
- Mechanical Engineering 248
- Electrical and Electronic Engineering 233
Countries citing papers authored by Keiji Yasuda
This map shows the geographic impact of Keiji Yasuda'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 Keiji Yasuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiji Yasuda more than expected).
Fields of papers citing papers by Keiji Yasuda
This network shows the impact of papers produced by Keiji Yasuda. 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 Keiji Yasuda. The network helps show where Keiji Yasuda may publish in the future.
Co-authorship network of co-authors of Keiji Yasuda
This figure shows the co-authorship network connecting the top 25 collaborators of Keiji Yasuda. A scholar is included among the top collaborators of Keiji Yasuda 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 Keiji Yasuda. Keiji Yasuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 5 | |
| 7 | 155 | |
| 8 | 35 | |
| 9 | Systematic Ion Irradiation Experiments to Olivine: Comparison with Space Weathered Rims of Itokawa Regolith Particles | 2 |
| 10 | Implementation of an Adaptive Learning System Using a Bayesian Network. | 1 |
| 11 | Surface Nano-Morphologies of Itokawa Regolith Particles Formed by Space Weathering Processes: Comparison with Ion Irradiation Experiments | 1 |
| 12 | 82 | |
| 13 | Principle and Separation Characteristics of Ultrasonic Atomization | 0 |
| 14 | 31 | |
| 15 | Continuous Hydrogen Production from Starch by Fermenta- tion | 1 |
| 16 | 5 | |
| 17 | 76 | |
| 18 | 2 | |
| 19 | 5 | |
| 20 | 54 |
About Keiji Yasuda
Keiji Yasuda is a scholar working on Water Science and Technology, Materials Chemistry and Biomedical Engineering, having authored 103 papers that have together received 1.6k indexed citations. Recurring topics across this work include Ultrasound and Cavitation Phenomena (37 papers), Electrohydrodynamics and Fluid Dynamics (15 papers) and Fluid Dynamics and Mixing (15 papers). The work is most often cited by research in Water Science and Technology (380 citations), Biomedical Engineering (703 citations) and Materials Chemistry (705 citations). Keiji Yasuda has collaborated with scholars based in Japan, China and Vietnam. Frequent co-authors include Yoshiyuki Asakura, Shinobu Koda, Zheng Xu, Yoshiyuki Bando, Thanh Tam Nguyen, Masaaki Nakamura, Masaaki Nakamura, Hiroyasu Nomura, Yoshihiro Kojima and Yasuo Iida. Their work appears in journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry B and The Journal of Physical Chemistry.
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.