Yuji Kyoya
- Industrial and Manufacturing Engineering top 2%
- Information Systems top 10%
- Management of Technology and Innovation top 5%
- Management Information Systems top 10%
- Artificial Intelligence
- Co-authors
- Peter B. LuhLing GouKiyoshi YonedaXiaoqing LiuMakoto TsujiTetsuo HasegawaSun K. KimKosuke Ishii
- Topics
- Scheduling and Optimization Algorithms (7 papers)Quality Function Deployment in Product Design (5 papers)Software Engineering Techniques and Practices (5 papers)
- Cited by
- Industrial and Manufacturing EngineeringManagement of Technology and InnovationManagement Information Systems
- Partner nations
- JapanUnited States
In The Last Decade
Yuji Kyoya
17 papers receiving 300 citations
Peers
Comparison fields: 5 of 38
- Industrial and Manufacturing Engineering 219
- Information Systems 68
- Management of Technology and Innovation 60
- Management Information Systems 49
- Artificial Intelligence 46
Countries citing papers authored by Yuji Kyoya
This map shows the geographic impact of Yuji Kyoya'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 Yuji Kyoya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuji Kyoya more than expected).
Fields of papers citing papers by Yuji Kyoya
This network shows the impact of papers produced by Yuji Kyoya. 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 Yuji Kyoya. The network helps show where Yuji Kyoya may publish in the future.
Co-authorship network of co-authors of Yuji Kyoya
This figure shows the co-authorship network connecting the top 25 collaborators of Yuji Kyoya. A scholar is included among the top collaborators of Yuji Kyoya 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 Yuji Kyoya. Yuji Kyoya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 9 | |
| 4 | 10 | |
| 5 | 30 | |
| 6 | 6 | |
| 7 | 3 | |
| 8 | 8 | |
| 9 | 17 | |
| 10 | 6 | |
| 11 | 6 | |
| 12 | 2 | |
| 13 | 15 | |
| 14 | 29 | |
| 15 | 128 | |
| 16 | 62 | |
| 17 | 4 |
About Yuji Kyoya
Yuji Kyoya is a scholar working on Management of Technology and Innovation, Industrial and Manufacturing Engineering and Marketing, having authored 17 papers that have together received 341 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (7 papers), Quality Function Deployment in Product Design (5 papers) and Software Engineering Techniques and Practices (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (219 citations), Management of Technology and Innovation (60 citations) and Management Information Systems (49 citations). Yuji Kyoya has collaborated with scholars based in Japan and United States. Frequent co-authors include Peter B. Luh, Ling Gou, Kiyoshi Yoneda, Xiaoqing Liu, Makoto Tsuji, Tetsuo Hasegawa, Sun K. Kim, Kosuke Ishii, Naoshi Uchihira and Xiaoqing Frank Liu. Their work appears in journals such as Annals of Operations Research, Computers in Industry and Journal of Systems and Software.
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.