T. Yura
- Electrical and Electronic Engineering top 10%
- Control and Systems Engineering top 5%
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 10%
- Safety, Risk, Reliability and Quality top 10%
- Co-authors
- Yoshikazu FukuyamaTakamu GenjiS. NakaShinichi TakayamaSakae TouneTsutomu WatanabeTakuya WatanabeHiroshi Matsubara
- Topics
- Optimal Power Flow Distribution (12 papers)Microgrid Control and Optimization (7 papers)Smart Grid Energy Management (5 papers)
- Cited by
- Control and Systems EngineeringElectrical and Electronic EngineeringEnergy Engineering and Power Technology
- Journals
- IEEE Transactions on Power SystemsIEEE Power Engineering ReviewElectrical Engineering in Japan
- Partner nations
- Japan
In The Last Decade
T. Yura
14 papers receiving 612 citations
Peers
Comparison fields: 5 of 72
- Electrical and Electronic Engineering 413
- Control and Systems Engineering 260
- Artificial Intelligence 154
- Computational Theory and Mathematics 60
- Safety, Risk, Reliability and Quality 51
Countries citing papers authored by T. Yura
This map shows the geographic impact of T. Yura'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 T. Yura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Yura more than expected).
Fields of papers citing papers by T. Yura
This network shows the impact of papers produced by T. Yura. 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 T. Yura. The network helps show where T. Yura may publish in the future.
Co-authorship network of co-authors of T. Yura
This figure shows the co-authorship network connecting the top 25 collaborators of T. Yura. A scholar is included among the top collaborators of T. Yura 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 T. Yura. T. Yura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 41 | |
| 2 | 334 | |
| 3 | 61 | |
| 4 | 11 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 146 | |
| 8 | 6 | |
| 9 | 8 | |
| 10 | 15 | |
| 11 | 22 | |
| 12 | 3 | |
| 13 | 3 | |
| 14 | 11 |
About T. Yura
T. Yura is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Safety, Risk, Reliability and Quality, having authored 14 papers that have together received 669 indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (12 papers), Microgrid Control and Optimization (7 papers) and Smart Grid Energy Management (5 papers). The work is most often cited by research in Control and Systems Engineering (260 citations), Electrical and Electronic Engineering (413 citations) and Energy Engineering and Power Technology (21 citations). T. Yura has collaborated with scholars based in Japan. Frequent co-authors include Yoshikazu Fukuyama, Takamu Genji, S. Naka, Shinichi Takayama, Sakae Toune, Tsutomu Watanabe, Takuya Watanabe, Hiroshi Matsubara and Yoshitaka Takezawa. Their work appears in journals such as IEEE Transactions on Power Systems, IEEE Power Engineering Review and Electrical Engineering in Japan.
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.