Akie Uehara
- Electrical and Electronic Engineering top 5%
- Control and Systems Engineering top 2%
- Aerospace Engineering top 10%
- Energy Engineering and Power Technology top 5%
- Automotive Engineering
- Co-authors
- Tomonobu SenjyuAtsushi YonaToshihisa FunabashiTomonori GoyaN. UrasakiPratap AnbalaganNaomitsu UrasakiChul‐Hwan Kim
- Topics
- Wind Turbine Control Systems (24 papers)Microgrid Control and Optimization (24 papers)Frequency Control in Power Systems (9 papers)
- Cited by
- Energy Engineering and Power TechnologyControl and Systems EngineeringElectrical and Electronic Engineering
- Partner nations
- JapanSouth KoreaUnited States
In The Last Decade
Akie Uehara
33 papers receiving 749 citations
Peers
Comparison fields: 5 of 32
- Electrical and Electronic Engineering 731
- Control and Systems Engineering 596
- Aerospace Engineering 120
- Energy Engineering and Power Technology 110
- Automotive Engineering 49
Countries citing papers authored by Akie Uehara
This map shows the geographic impact of Akie Uehara'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 Akie Uehara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akie Uehara more than expected).
Fields of papers citing papers by Akie Uehara
This network shows the impact of papers produced by Akie Uehara. 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 Akie Uehara. The network helps show where Akie Uehara may publish in the future.
Co-authorship network of co-authors of Akie Uehara
This figure shows the co-authorship network connecting the top 25 collaborators of Akie Uehara. A scholar is included among the top collaborators of Akie Uehara 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 Akie Uehara. Akie Uehara 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 | 1 | |
| 4 | 2 | |
| 5 | 11 | |
| 6 | 48 | |
| 7 | 10 | |
| 8 | Output power smoothing of wind turbine generation system for the 2-MW permanent magnet synchronous generators | 13 |
| 9 | 14 | |
| 10 | 8 | |
| 11 | 6 | |
| 12 | 7 | |
| 13 | 35 | |
| 14 | 49 | |
| 15 | 10 | |
| 16 | 12 | |
| 17 | 3 | |
| 18 | 24 | |
| 19 | A new control methodology of wind turbine generators for load frequency control of power system in isolated island | 3 |
| 20 | 11 |
About Akie Uehara
Akie Uehara is a scholar working on Control and Systems Engineering, Energy Engineering and Power Technology and Electrical and Electronic Engineering, having authored 35 papers that have together received 779 indexed citations. Recurring topics across this work include Wind Turbine Control Systems (24 papers), Microgrid Control and Optimization (24 papers) and Frequency Control in Power Systems (9 papers). The work is most often cited by research in Energy Engineering and Power Technology (110 citations), Control and Systems Engineering (596 citations) and Electrical and Electronic Engineering (731 citations). Akie Uehara has collaborated with scholars based in Japan, South Korea and United States. Frequent co-authors include Tomonobu Senjyu, Atsushi Yona, Toshihisa Funabashi, Tomonori Goya, N. Urasaki, Pratap Anbalagan, Naomitsu Urasaki, Chul‐Hwan Kim, Ahmed Yousuf Saber and Abdul Motin Howlader. Their work appears in journals such as Applied Energy, Energy Conversion and Management and IEEE Access.
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.