Jun Fujita
- Biomedical Engineering
- Mechanical Engineering
- Electrical and Electronic Engineering
- Aerospace Engineering
- Inorganic Chemistry
- Co-authors
- Jiazhen SunKeizo MakuuchiTakashi SasakiFumio YoshiiSei‐ichi NishimotoShin HasegawaWenwei ZhaoJ. V. Quagliano
- Topics
- Iterative Learning Control Systems (9 papers)Advanced machining processes and optimization (7 papers)Advanced Measurement and Metrology Techniques (5 papers)
- Journals
- Journal of the American Chemical SocietyApplied Physics LettersInternational Journal of Machine Tools and Manufacture
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Jun Fujita
39 papers receiving 271 citations
Peers
Comparison fields: 5 of 60
- Biomedical Engineering 87
- Mechanical Engineering 65
- Electrical and Electronic Engineering 60
- Aerospace Engineering 52
- Inorganic Chemistry 42
Countries citing papers authored by Jun Fujita
This map shows the geographic impact of Jun Fujita'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 Jun Fujita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Fujita more than expected).
Fields of papers citing papers by Jun Fujita
This network shows the impact of papers produced by Jun Fujita. 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 Jun Fujita. The network helps show where Jun Fujita may publish in the future.
Co-authorship network of co-authors of Jun Fujita
This figure shows the co-authorship network connecting the top 25 collaborators of Jun Fujita. A scholar is included among the top collaborators of Jun Fujita 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 Jun Fujita. Jun Fujita is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 5 | |
| 15 | 5 | |
| 16 | 7 | |
| 17 | 4 | |
| 18 | 2 | |
| 19 | 0 | |
| 20 | 0 |
About Jun Fujita
Jun Fujita is a scholar working on Control and Systems Engineering, Safety, Risk, Reliability and Quality and Mechanical Engineering, having authored 47 papers that have together received 289 indexed citations. Recurring topics across this work include Iterative Learning Control Systems (9 papers), Advanced machining processes and optimization (7 papers) and Advanced Measurement and Metrology Techniques (5 papers). The work is most often cited by research in Inorganic Chemistry (42 citations), Industrial and Manufacturing Engineering (25 citations) and Structural Biology (4 citations). Jun Fujita has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Jiazhen Sun, Keizo Makuuchi, Takashi Sasaki, Fumio Yoshii, Sei‐ichi Nishimoto, Shin Hasegawa, Wenwei Zhao, J. V. Quagliano, Sigeo Kida and Taro HANDA. Their work appears in journals such as Journal of the American Chemical Society, Applied Physics Letters and International Journal of Machine Tools and Manufacture.
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.