Kanji Ueda
Impact in
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- Manufacturing Process and Optimization
- Flexible and Reconfigurable Manufacturing Systems
- Digital Transformation in Industry
- Scheduling and Optimization Algorithms
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- Product Development and Customization
Papers in
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- Metal Forming Simulation Techniques 8
- Advanced machining processes and optimization 7
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- Advanced Surface Polishing Techniques 17
- Co-authors
- Jari Vaario (3 shared papers)Kazuaki IWATA (5 shared papers)Nobutada Fujii (2 shared papers)Takeshi Takenaka (8 shared papers)Kazuo Nakayama (1 shared paper)Itsuo Hatono (5 shared papers)Kazuhiro Ohkura (10 shared papers)Tomomi Kito (2 shared papers)
- Journals
- CIRP Annals (12 papers)Advanced Engineering Informatics (4 papers)Wear (2 papers)Robotica (1 paper)Applied Intelligence (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Kanji Ueda
61 papers receiving 748 citations
Peers
Comparison fields: 5 of 79
- Industrial and Manufacturing Engineering 268
- Management of Technology and Innovation 129
- Marketing 88
- Mechanical Engineering 292
- Business and International Management 11
Countries citing papers authored by Kanji Ueda
This map shows the geographic impact of Kanji Ueda'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 Kanji Ueda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kanji Ueda more than expected).
Fields of papers citing papers by Kanji Ueda
This network shows the impact of papers produced by Kanji Ueda. 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 Kanji Ueda. The network helps show where Kanji Ueda may publish in the future.
Co-authors
The 25 scholars most cited alongside Kanji Ueda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 102 | |
| 2 | 1984 | 72 | |
| 3 | 1980 | 71 | |
| 4 | 2000 | 63 | |
| 5 | 2016 | 35 | |
| 6 | 1998 | 33 | |
| 7 | 1992 | 32 | |
| 8 | 2018 | 30 | |
| 9 | 1993 | 26 | |
| 10 | 2014 | 25 | |
| 11 | 2001 | 25 | |
| 12 | 2012 | 25 | |
| 13 | 1980 | 24 | |
| 14 | 2001 | 23 | |
| 15 | 2001 | 22 | |
| 16 | 2003 | 19 | |
| 17 | 2008 | 15 | |
| 18 | 1982 | 14 | |
| 19 | 2006 | 14 | |
| 20 | 2013 | 11 |
About Kanji Ueda
Kanji Ueda is a scholar working on Mechanical Engineering, Biomedical Engineering, Mechanics of Materials, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 69 papers that have together received 815 indexed citations. Recurring topics across this work include Advanced Surface Polishing Techniques (17 papers), Evolutionary Algorithms and Applications (9 papers), Metal Forming Simulation Techniques (8 papers), Metallurgy and Material Forming (7 papers), Scheduling and Optimization Algorithms (7 papers), Advanced machining processes and optimization (7 papers), Digital Platforms and Economics (7 papers) and Service and Product Innovation (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (268 citations), Management of Technology and Innovation (129 citations), Marketing (88 citations), Mechanical Engineering (292 citations) and Business and International Management (11 citations). Kanji Ueda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Jari Vaario, Kazuaki IWATA, Nobutada Fujii, Takeshi Takenaka, Kazuo Nakayama, Itsuo Hatono, Kazuhiro Ohkura, Tomomi Kito, Nariaki Nishino and Attila Lengyel. Their work appears in journals such as CIRP Annals, Advanced Engineering Informatics, Wear, Robotica and Applied Intelligence.
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.