Yukiyasu Domae
- Control and Systems Engineering top 5%
- Industrial and Manufacturing Engineering top 2%
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 10%
- Mechanical Engineering
- Co-authors
- Weiwei WanKensuke HaradaHaruhisa OkudaKazuhiko SumiYuichi TaguchiTakashi HiraiToshio UeshibaAkio Noda
- Topics
- Robot Manipulation and Learning (38 papers)Soft Robotics and Applications (12 papers)Manufacturing Process and Optimization (10 papers)
- Cited by
- Industrial and Manufacturing EngineeringControl and Systems EngineeringComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSensors
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Yukiyasu Domae
48 papers receiving 434 citations
Peers
Comparison fields: 5 of 49
- Control and Systems Engineering 285
- Industrial and Manufacturing Engineering 189
- Biomedical Engineering 145
- Computer Vision and Pattern Recognition 131
- Mechanical Engineering 87
Countries citing papers authored by Yukiyasu Domae
This map shows the geographic impact of Yukiyasu Domae'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 Yukiyasu Domae with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yukiyasu Domae more than expected).
Fields of papers citing papers by Yukiyasu Domae
This network shows the impact of papers produced by Yukiyasu Domae. 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 Yukiyasu Domae. The network helps show where Yukiyasu Domae may publish in the future.
Co-authorship network of co-authors of Yukiyasu Domae
This figure shows the co-authorship network connecting the top 25 collaborators of Yukiyasu Domae. A scholar is included among the top collaborators of Yukiyasu Domae 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 Yukiyasu Domae. Yukiyasu Domae 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 | 0 | |
| 4 | 4 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 18 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 10 | |
| 13 | 0 | |
| 14 | 0 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | 27 | |
| 18 | 0 | |
| 19 | 51 | |
| 20 | Novel Intelligent Technologies for Industrial Robot in Manufacturing - Architectures and Applications | 2 |
About Yukiyasu Domae
Yukiyasu Domae is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 71 papers that have together received 461 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (38 papers), Soft Robotics and Applications (12 papers) and Manufacturing Process and Optimization (10 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (189 citations), Control and Systems Engineering (285 citations) and Computer Vision and Pattern Recognition (131 citations). Yukiyasu Domae has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Weiwei Wan, Kensuke Harada, Haruhisa Okuda, Kazuhiko Sumi, Yuichi Taguchi, Takashi Hirai, Toshio Ueshiba, Akio Noda, Shun’ichi Kaneko and Yoshihiro Nakabo. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.
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.