Kyohei Suzuki
- Materials Chemistry
- Computational Mechanics top 10%
- Aerospace Engineering
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Masahiro YukawaYoshitsugu KojimaYasuhiko KawaiMasami TerauchiKenta KimuraMichiyoshi TanakaMitsuhiro TsueTetsuo Hiraiwa
- Topics
- Sparse and Compressive Sensing Techniques (8 papers)Image and Signal Denoising Methods (6 papers)Photoacoustic and Ultrasonic Imaging (5 papers)
- Cited by
- Energy Engineering and Power TechnologyFluid Flow and Transfer ProcessesComputational Mechanics
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Kyohei Suzuki
33 papers receiving 462 citations
Peers
Comparison fields: 5 of 87
- Materials Chemistry 157
- Computational Mechanics 134
- Aerospace Engineering 80
- Biomedical Engineering 71
- Radiology, Nuclear Medicine and Imaging 59
Countries citing papers authored by Kyohei Suzuki
This map shows the geographic impact of Kyohei Suzuki'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 Kyohei Suzuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyohei Suzuki more than expected).
Fields of papers citing papers by Kyohei Suzuki
This network shows the impact of papers produced by Kyohei Suzuki. 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 Kyohei Suzuki. The network helps show where Kyohei Suzuki may publish in the future.
Co-authorship network of co-authors of Kyohei Suzuki
This figure shows the co-authorship network connecting the top 25 collaborators of Kyohei Suzuki. A scholar is included among the top collaborators of Kyohei Suzuki 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 Kyohei Suzuki. Kyohei Suzuki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 12 | |
| 6 | 9 | |
| 7 | 17 | |
| 8 | A Robust Approach to Jointly-Sparse Signal Recovery Based on Minimax Concave Loss Function | 1 |
| 9 | 7 | |
| 10 | Real-time and on-demand buoy observation system for tsunami and crustal displacement | 1 |
| 11 | 16 | |
| 12 | 0 | |
| 13 | 0 | |
| 14 | 2 | |
| 15 | 3 | |
| 16 | 11 | |
| 17 | 48 | |
| 18 | SOLID OXIDE FUEL CELL AND MICRO GAS TURBINE HYBRID CYCLE FOR A DISTRIBUTED ENERGY GENERATION SYSTEM | 5 |
| 19 | 101 | |
| 20 | 1 |
About Kyohei Suzuki
Kyohei Suzuki is a scholar working on Energy Engineering and Power Technology, Computational Mechanics and Fluid Flow and Transfer Processes, having authored 36 papers that have together received 473 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (8 papers), Image and Signal Denoising Methods (6 papers) and Photoacoustic and Ultrasonic Imaging (5 papers). The work is most often cited by research in Energy Engineering and Power Technology (35 citations), Fluid Flow and Transfer Processes (45 citations) and Computational Mechanics (134 citations). Kyohei Suzuki has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Masahiro Yukawa, Yoshitsugu Kojima, Yasuhiko Kawai, Masami Terauchi, Kenta Kimura, Michiyoshi Tanaka, Mitsuhiro Tsue, Tetsuo Hiraiwa, Shinji Nakaya and Kagayaki Kuroda. Their work appears in journals such as PLoS ONE, Chemical Physics Letters and IEEE Transactions on Signal Processing.
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.