Eiji O’Shima
- Control and Systems Engineering top 2%
- Artificial Intelligence top 10%
- Statistics, Probability and Uncertainty top 2%
- Mechanical Engineering
- Biomedical Engineering
- Co-authors
- H. MatsuyamaMasao IriMasato TanakaTomoko UmedaT. KuriyamaYuji NakaYoshifumi TsugeHakuai Inoue
- Topics
- Advanced Data Processing Techniques (12 papers)Fault Detection and Control Systems (10 papers)Advanced Control Systems Optimization (9 papers)
- Journals
- IEEE Transactions on Industrial ElectronicsChemical Engineering ScienceJournal of Applied Polymer Science
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Eiji O’Shima
54 papers receiving 679 citations
Peers
Comparison fields: 5 of 71
- Control and Systems Engineering 469
- Artificial Intelligence 155
- Statistics, Probability and Uncertainty 154
- Mechanical Engineering 150
- Biomedical Engineering 78
Countries citing papers authored by Eiji O’Shima
This map shows the geographic impact of Eiji O’Shima'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 Eiji O’Shima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eiji O’Shima more than expected).
Fields of papers citing papers by Eiji O’Shima
This network shows the impact of papers produced by Eiji O’Shima. 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 Eiji O’Shima. The network helps show where Eiji O’Shima may publish in the future.
Co-authorship network of co-authors of Eiji O’Shima
This figure shows the co-authorship network connecting the top 25 collaborators of Eiji O’Shima. A scholar is included among the top collaborators of Eiji O’Shima 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 Eiji O’Shima. Eiji O’Shima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Development of corrosion rates estimation method for CUI using information gain ratio | 2 |
| 2 | Estimation of corrosion rates for CUI in petrochemical plants using reliability | 0 |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 26 | |
| 8 | 76 | |
| 9 | Fault diagnosis algorithms based on the signed directed graph and its modifications. | 17 |
| 10 | 30 | |
| 11 | 249 | |
| 12 | 4 | |
| 13 | 22 | |
| 14 | 4 | |
| 15 | 6 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 4 |
About Eiji O’Shima
Eiji O’Shima is a scholar working on Filtration and Separation, Control and Systems Engineering and Fluid Flow and Transfer Processes, having authored 58 papers that have together received 718 indexed citations. Recurring topics across this work include Advanced Data Processing Techniques (12 papers), Fault Detection and Control Systems (10 papers) and Advanced Control Systems Optimization (9 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (154 citations), Control and Systems Engineering (469 citations) and Software (30 citations). Eiji O’Shima has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include H. Matsuyama, Masao Iri, Masato Tanaka, Tomoko Umeda, T. Kuriyama, Yuji Naka, Yoshifumi Tsuge, Hakuai Inoue, Hiroyuki Tanaka and Shigeyuki Tomita. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Chemical Engineering Science and Journal of Applied Polymer Science.
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.