K. Kiyoyama
- Electrical and Electronic Engineering
- Cellular and Molecular Neuroscience
- Biomedical Engineering
- Control and Systems Engineering
- Artificial Intelligence
- Co-authors
- Tetsu TanakaMitsumasa KoyanagiYoshito TanakaHisashi KinoHiroshi NaganumaTakafumi FukushimaHideo OhnoJ. C. Bea
- Topics
- Advanced Memory and Neural Computing (11 papers)Neuroscience and Neural Engineering (11 papers)CCD and CMOS Imaging Sensors (6 papers)
- Cited by
- Energy Engineering and Power TechnologyCellular and Molecular NeuroscienceElectrical and Electronic Engineering
In The Last Decade
K. Kiyoyama
21 papers receiving 108 citations
Peers
Comparison fields: 5 of 29
- Electrical and Electronic Engineering 91
- Cellular and Molecular Neuroscience 31
- Biomedical Engineering 27
- Control and Systems Engineering 13
- Artificial Intelligence 12
Countries citing papers authored by K. Kiyoyama
This map shows the geographic impact of K. Kiyoyama'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 K. Kiyoyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Kiyoyama more than expected).
Fields of papers citing papers by K. Kiyoyama
This network shows the impact of papers produced by K. Kiyoyama. 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 K. Kiyoyama. The network helps show where K. Kiyoyama may publish in the future.
Co-authorship network of co-authors of K. Kiyoyama
This figure shows the co-authorship network connecting the top 25 collaborators of K. Kiyoyama. A scholar is included among the top collaborators of K. Kiyoyama 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 K. Kiyoyama. K. Kiyoyama 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 | 7 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | Design and Evaluation of EIT Measurement System with Square Wave Current Source | 0 |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 12 | |
| 13 | 15 | |
| 14 | 14 | |
| 15 | 7 | |
| 16 | 3 | |
| 17 | 3 | |
| 18 | 3 | |
| 19 | 5 | |
| 20 | 1 |
About K. Kiyoyama
K. Kiyoyama is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Energy Engineering and Power Technology, having authored 28 papers that have together received 112 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (11 papers), Neuroscience and Neural Engineering (11 papers) and CCD and CMOS Imaging Sensors (6 papers). The work is most often cited by research in Energy Engineering and Power Technology (6 citations), Cellular and Molecular Neuroscience (31 citations) and Electrical and Electronic Engineering (91 citations). K. Kiyoyama has collaborated with scholars based in Japan and Germany. Frequent co-authors include Tetsu Tanaka, Mitsumasa Koyanagi, Yoshito Tanaka, Hisashi Kino, Hiroshi Naganuma, Takafumi Fukushima, Hideo Ohno, J. C. Bea, M. Shimojima and Yoshihiko Horio. Their work appears in journals such as IEEE Transactions on Electron Devices, Japanese Journal of Applied Physics and IEEE Transactions on Nuclear 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.