Yūki Naito
- Applied Mathematics top 1%
- Computational Theory and Mathematics top 2%
- Mathematical Physics top 5%
- Numerical Analysis top 5%
- Modeling and Simulation top 5%
- Co-authors
- Takashi SuzukiT. KusanoSatoshi TanakaHiroyuki UsamiYasuhito MiyamotoTokushi SatoTakasi SenbaK. Yoshida
- Topics
- Advanced Mathematical Modeling in Engineering (26 papers)Nonlinear Partial Differential Equations (25 papers)Nonlinear Differential Equations Analysis (15 papers)
- Journals
- Journal of Mathematical Analysis and ApplicationsJournal of Differential EquationsNonlinear Analysis
- Partner nations
- JapanCroatiaSouth Korea
In The Last Decade
Yūki Naito
48 papers receiving 470 citations
Peers
Comparison fields: 5 of 34
- Applied Mathematics 438
- Computational Theory and Mathematics 251
- Mathematical Physics 144
- Numerical Analysis 136
- Modeling and Simulation 98
Countries citing papers authored by Yūki Naito
This map shows the geographic impact of Yūki Naito'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 Yūki Naito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yūki Naito more than expected).
Fields of papers citing papers by Yūki Naito
This network shows the impact of papers produced by Yūki Naito. 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 Yūki Naito. The network helps show where Yūki Naito may publish in the future.
Co-authorship network of co-authors of Yūki Naito
This figure shows the co-authorship network connecting the top 25 collaborators of Yūki Naito. A scholar is included among the top collaborators of Yūki Naito 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 Yūki Naito. Yūki Naito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 7 | |
| 6 | Self-similar blow-up for a chemotaxis system in higher dimensional domains (Mathematical analysis on the self-organization and self-similarity) | 2 |
| 7 | 15 | |
| 8 | 20 | |
| 9 | 17 | |
| 10 | 6 | |
| 11 | 15 | |
| 12 | 54 | |
| 13 | 19 | |
| 14 | 3 | |
| 15 | 32 | |
| 16 | RADIAL SYMMETRY OF POSITIVE SOLUTIONS FOR SEMILINEAR ELLIPTIC EQUATIONS IN $R^n$ | 3 |
| 17 | 20 | |
| 18 | 33 | |
| 19 | 4 | |
| 20 | 11 |
About Yūki Naito
Yūki Naito is a scholar working on Applied Mathematics, Modeling and Simulation and Numerical Analysis, having authored 49 papers that have together received 547 indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (26 papers), Nonlinear Partial Differential Equations (25 papers) and Nonlinear Differential Equations Analysis (15 papers). The work is most often cited by research in Applied Mathematics (438 citations), Numerical Analysis (136 citations) and Modeling and Simulation (98 citations). Yūki Naito has collaborated with scholars based in Japan, Croatia and South Korea. Frequent co-authors include Takashi Suzuki, T. Kusano, Satoshi Tanaka, Hiroyuki Usami, Yasuhito Miyamoto, Tokushi Sato, Takasi Senba, K. Yoshida, Soohyun Bae and Robert Sutton. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Journal of Differential Equations and Nonlinear Analysis.
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.