Chiaki Kuroda
- Materials Chemistry
- Biomedical Engineering
- Electrical and Electronic Engineering
- Computational Mechanics
- Organic Chemistry
- Co-authors
- Hideyuki MatsumotoDaisuke KobayashiKohei OgawaJin‐Young KimKatsuto OtakeShiro ItoTomoki TakahashiAtsushi Shono
- Topics
- Innovative Microfluidic and Catalytic Techniques Innovation (10 papers)Ultrasound and Cavitation Phenomena (10 papers)Cyclone Separators and Fluid Dynamics (7 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Chiaki Kuroda
60 papers receiving 378 citations
Peers
Comparison fields: 5 of 81
- Materials Chemistry 150
- Biomedical Engineering 143
- Electrical and Electronic Engineering 60
- Computational Mechanics 56
- Organic Chemistry 49
Countries citing papers authored by Chiaki Kuroda
This map shows the geographic impact of Chiaki Kuroda'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 Chiaki Kuroda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chiaki Kuroda more than expected).
Fields of papers citing papers by Chiaki Kuroda
This network shows the impact of papers produced by Chiaki Kuroda. 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 Chiaki Kuroda. The network helps show where Chiaki Kuroda may publish in the future.
Co-authorship network of co-authors of Chiaki Kuroda
This figure shows the co-authorship network connecting the top 25 collaborators of Chiaki Kuroda. A scholar is included among the top collaborators of Chiaki Kuroda 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 Chiaki Kuroda. Chiaki Kuroda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 1 | |
| 3 | 30 | |
| 4 | 32 | |
| 5 | 2 | |
| 6 | Dynamic trend analysis for ultrasonic irradiation in control of suspension polymerization process | 2 |
| 7 | 16 | |
| 8 | 6 | |
| 9 | Dynamic Acquisition of Models for Multiagent-Oriented Simulation of Micro Chemical Processes | 1 |
| 10 | 12 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | Learning and Structural Determination of Three-Layered Neural Networks using a Genetic Algorithm | 1 |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 26 | |
| 17 | 2 | |
| 18 | 3 | |
| 19 | 4 | |
| 20 | 21 |
About Chiaki Kuroda
Chiaki Kuroda is a scholar working on Computational Mechanics, Biomedical Engineering and Analytical Chemistry, having authored 66 papers that have together received 393 indexed citations. Recurring topics across this work include Innovative Microfluidic and Catalytic Techniques Innovation (10 papers), Ultrasound and Cavitation Phenomena (10 papers) and Cyclone Separators and Fluid Dynamics (7 papers). The work is most often cited by research in Biomedical Engineering (143 citations), Materials Chemistry (150 citations) and Water Science and Technology (43 citations). Chiaki Kuroda has collaborated with scholars based in Japan and United States. Frequent co-authors include Hideyuki Matsumoto, Daisuke Kobayashi, Kohei Ogawa, Jin‐Young Kim, Katsuto Otake, Shiro Ito, Tomoki Takahashi, Atsushi Shono, Hiroshi Handa and Nobuyoshi Nakagawa. Their work appears in journals such as Journal of Applied Physics, Chemical Engineering Journal and Chemical Engineering Science.
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.