Seizo FUJII
- Control and Systems Engineering top 5%
- Mechanical Engineering
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Biomedical Engineering
- Co-authors
- Kenichi OgataNaoki MizunoH. NakamuraYoshikazu HayakawaS. NakaiTianyou ChaiYuki NomuraZhisong Chen
- Topics
- Advanced Control Systems Optimization (20 papers)Adaptive Control of Nonlinear Systems (13 papers)Iterative Learning Control Systems (9 papers)
- Cited by
- Control and Systems EngineeringMechanical EngineeringComputer Vision and Pattern Recognition
In The Last Decade
Seizo FUJII
54 papers receiving 312 citations
Peers
Comparison fields: 5 of 63
- Control and Systems Engineering 230
- Mechanical Engineering 47
- Electrical and Electronic Engineering 26
- Computer Vision and Pattern Recognition 25
- Biomedical Engineering 24
Countries citing papers authored by Seizo FUJII
This map shows the geographic impact of Seizo FUJII'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 Seizo FUJII with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seizo FUJII more than expected).
Fields of papers citing papers by Seizo FUJII
This network shows the impact of papers produced by Seizo FUJII. 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 Seizo FUJII. The network helps show where Seizo FUJII may publish in the future.
Co-authorship network of co-authors of Seizo FUJII
This figure shows the co-authorship network connecting the top 25 collaborators of Seizo FUJII. A scholar is included among the top collaborators of Seizo FUJII 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 Seizo FUJII. Seizo FUJII is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 21 | |
| 3 | 13 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 0 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 2 | |
| 20 | 1 |
About Seizo FUJII
Seizo FUJII is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition, having authored 63 papers that have together received 329 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (20 papers), Adaptive Control of Nonlinear Systems (13 papers) and Iterative Learning Control Systems (9 papers). The work is most often cited by research in Control and Systems Engineering (230 citations), Mechanical Engineering (47 citations) and Computer Vision and Pattern Recognition (25 citations). Seizo FUJII has collaborated with scholars based in Japan and China. Frequent co-authors include Kenichi Ogata, Naoki Mizuno, H. Nakamura, Yoshikazu Hayakawa, S. Nakai, Tianyou Chai, Yuki Nomura, Zhisong Chen, Zhiwei Luo and Jianming Yang. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Control Engineering Practice and Journal of Dynamic Systems Measurement and Control.
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.