Yasuhiro Fujita
- Modeling and Simulation top 1%
- Mathematical Biology Tumor Growth 6
- Fractional Differential Equations Solutions 5
- Numerical Analysis top 5%
- Applied Mathematics top 5%
- Nonlinear Partial Differential Equations 11
- Geometric Analysis and Curvature Flows 11
- Nonlinear Differential Equations Analysis 4
- Toxicology top 5%
- Mathematical Physics top 10%
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- Stochastic processes and financial applications 8
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- Advanced Mathematical Modeling in Engineering 5
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- Reinforcement Learning in Robotics 4
- Co-authors
- Paola LoretiMinoru TabataHitoshi IshiiEiichi MatsumotoHiroaki MorimotoHideo MiyakeMitsuyoshi UedaJunji Ohtsubo
- Journals
- Differential and Integral Equations (5 papers)Mathematische Annalen (4 papers)Journal of Mathematical Analysis and Applications (3 papers)
- Partner nations
- JapanItalyUnited States
In The Last Decade
Yasuhiro Fujita
53 papers receiving 650 citations
Peers
Comparison fields: 5 of 86
- Modeling and Simulation 231
- Numerical Analysis 105
- Applied Mathematics 153
- Toxicology 37
- Mathematical Physics 69
Countries citing papers authored by Yasuhiro Fujita
This map shows the geographic impact of Yasuhiro 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 Yasuhiro Fujita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasuhiro Fujita more than expected).
Fields of papers citing papers by Yasuhiro Fujita
This network shows the impact of papers produced by Yasuhiro 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 Yasuhiro Fujita. The network helps show where Yasuhiro Fujita may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yasuhiro Fujita, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A Differentiable Gaussian-like Distribution on Hyperbolic Space for Gradient-Based Learning. | 2019 | 3 |
| 2 | ChainerRL: A Deep Reinforcement Learning Library | 2019 | 11 |
| 3 | A Wrapped Normal Distribution on Hyperbolic Space for Gradient-Based Learning | 2019 | 3 |
| 4 | Clipped Action Policy Gradient | 2018 | 1 |
| 5 | 2017 | 1 | |
| 6 | 2015 | 7 | |
| 7 | 2015 | 1 | |
| 8 | 2013 | 0 | |
| 9 | 2013 | 8 | |
| 10 | 2012 | 3 | |
| 11 | 2008 | 2 | |
| 12 | 2007 | 1 | |
| 13 | 2006 | 1 | |
| 14 | Convergence analysis of the interface for interfacial transport phenomena | 2003 | 2 |
| 15 | 2000 | 3 | |
| 16 | 1990 | 182 | |
| 17 | INTEGRODIFFERENTIAL EQUATION WHICH INTERPOLATES THE HEAT EQUATION AND THE WAVE EQUATION II(Martingales and Related Topics) | 1989 | 1 |
| 18 | 1985 | 0 | |
| 19 | 1985 | 2 | |
| 20 | 1981 | 92 |
About Yasuhiro Fujita
Yasuhiro Fujita is a scholar working on Modeling and Simulation, Applied Mathematics and Mathematical Physics, having authored 61 papers that have together received 714 indexed citations. Recurring topics across this work include Nonlinear Partial Differential Equations (11 papers), Geometric Analysis and Curvature Flows (11 papers), Stochastic processes and financial applications (8 papers), Mathematical Biology Tumor Growth (6 papers), Fractional Differential Equations Solutions (5 papers), Advanced Mathematical Modeling in Engineering (5 papers), Nonlinear Differential Equations Analysis (4 papers) and Reinforcement Learning in Robotics (4 papers). The work is most often cited by research in Modeling and Simulation (231 citations), Numerical Analysis (105 citations) and Applied Mathematics (153 citations). Yasuhiro Fujita has collaborated with scholars based in Japan, Italy and United States. Frequent co-authors include Paola Loreti, Minoru Tabata, Hitoshi Ishii, Eiichi Matsumoto, Hiroaki Morimoto, Hideo Miyake, Mitsuyoshi Ueda, Junji Ohtsubo, Akihito Nakanishi and John Schulman. Their work appears in journals such as Differential and Integral Equations, Mathematische Annalen, Journal of Mathematical Analysis and Applications, Applied Mathematics & Optimization and IEEE Transactions on Consumer Electronics.
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.