Mayu Muramatsu

959 total citations
69 papers, 565 citations indexed

About

Mayu Muramatsu is a scholar working on Materials Chemistry, Mechanics of Materials and Mechanical Engineering. According to data from OpenAlex, Mayu Muramatsu has authored 69 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Materials Chemistry, 24 papers in Mechanics of Materials and 20 papers in Mechanical Engineering. Recurrent topics in Mayu Muramatsu's work include Aluminum Alloy Microstructure Properties (10 papers), Solidification and crystal growth phenomena (8 papers) and Metallurgy and Material Forming (8 papers). Mayu Muramatsu is often cited by papers focused on Aluminum Alloy Microstructure Properties (10 papers), Solidification and crystal growth phenomena (8 papers) and Metallurgy and Material Forming (8 papers). Mayu Muramatsu collaborates with scholars based in Japan, United States and Netherlands. Mayu Muramatsu's co-authors include Kenjiro Terada, Satoshi Inoue, Hirotaka Iwase, Sumito Ogawa, Hiroko Yamashita, Y Omoto, Tatsuya Toyama, Satoshi Kobayashi, Yoshihisa Harada and Keiji Yashiro and has published in prestigious journals such as PLoS ONE, Scientific Reports and Surface Science.

In The Last Decade

Mayu Muramatsu

61 papers receiving 536 citations

Peers

Mayu Muramatsu
Yuanliang Zhang China
Tianyi Zhou China
Guoqing Gu China
Mingjian Sun China
Shiva Rudraraju United States
Wenhao Cheng United States
Ri Liu China
Pengxiang Liu China
Hongyan Liu China
Yuanliang Zhang China
Mayu Muramatsu
Citations per year, relative to Mayu Muramatsu Mayu Muramatsu (= 1×) peers Yuanliang Zhang

Countries citing papers authored by Mayu Muramatsu

Since Specialization
Citations

This map shows the geographic impact of Mayu Muramatsu'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 Mayu Muramatsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayu Muramatsu more than expected).

Fields of papers citing papers by Mayu Muramatsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mayu Muramatsu. 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 Mayu Muramatsu. The network helps show where Mayu Muramatsu may publish in the future.

Co-authorship network of co-authors of Mayu Muramatsu

This figure shows the co-authorship network connecting the top 25 collaborators of Mayu Muramatsu. A scholar is included among the top collaborators of Mayu Muramatsu 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 Mayu Muramatsu. Mayu Muramatsu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Suzuki, Mitsuo, et al.. (2025). Dislocation-based crystal plasticity simulation on grain-size dependence of mechanical properties in dual-phase steels. International Journal of Solids and Structures. 323. 113634–113634.
2.
Aoki, S., et al.. (2025). Formulation of Correction Term in QUBO Form for Phase‐Field Model. International Journal for Numerical Methods in Engineering. 126(6). 1 indexed citations
3.
Tanaka, Miho, et al.. (2025). Machine-learning-aided analysis of relationship between crystal defects and macroscopic mechanical properties of TWIP steel. Scientific Reports. 15(1). 14435–14435. 2 indexed citations
4.
5.
Murashima, Takahiro, et al.. (2024). Fine-scale structural stability of carbon dioxide hydrate pellets under coarse-scale deformation using multi-scale coupled FEM-MD simulations. Materials Today Communications. 38. 108322–108322. 1 indexed citations
6.
Muramatsu, Mayu, et al.. (2024). Deep learning-aided inverse analysis framework to accelerate the exploration of DP steel microstructures. Materials Today Communications. 41. 110557–110557. 2 indexed citations
7.
Takagi, Kazumasa, et al.. (2024). Implementation of spectral methods on Ising machines: toward flow simulations on quantum annealers. Fluid Dynamics Research. 56(6). 61401–61401.
8.
Oya, Yutaka, et al.. (2024). Development of a deep-learning model for phase-separation structure of diblock copolymer based on self-consistent field analysis. Advanced Composite Materials. 33(5). 1026–1039. 1 indexed citations
9.
Suzuki, Yudai, et al.. (2024). Development of optimization method for truss structure by quantum annealing. Scientific Reports. 14(1). 13872–13872. 8 indexed citations
10.
Akimoto, Takuma, et al.. (2023). Heterogeneous biological membranes regulate protein partitioning via fluctuating diffusivity. PNAS Nexus. 2(8). pgad258–pgad258. 7 indexed citations
11.
12.
Muramatsu, Mayu, et al.. (2021). Phase-field crack analysis using estimated transition zone of crack by molecular dynamics simulation. AIP Advances. 11(6). 5 indexed citations
13.
Sato, Masami, et al.. (2017). NUMERICAL PLATE TESTING FOR NON-LINEAR MULTI-SCALE ANALYSIS OF PLATE-SHAPED DEVICE. Journal of Japan Society of Civil Engineers Ser A2 (Applied Mechanics (AM)). 73(2). I_283–I_294. 2 indexed citations
14.
Muramatsu, Mayu, Haruo Kishimoto, Katsuhiko Yamaji, et al.. (2015). Electro-Chemical Potential Analysis of Zirconium Based on the Reaction-Diffusion Equations of Oxygen Ion and Electron Considering Phase Transformation. ECS Transactions. 68(1). 2363–2372. 1 indexed citations
15.
Muramatsu, Mayu, Y. Aoyagi, Yuichi TADANO, & K. Shizawa. (2014). Phase-field simulation of static recrystallization considering nucleation from subgrains and nucleus growth with incubation period. Computational Materials Science. 87. 112–122. 34 indexed citations
16.
Harada, Yoshihisa, et al.. (2014). Influence of Laser Process on Mechanical Behavior during Cutting of Carbon Fiber Reinforced Plastic Composites. Materials science forum. 783-786. 1518–1523. 2 indexed citations
17.
Muramatsu, Mayu, et al.. (2011). A dynamic recrystallization simulation based on phase-field and dislocation-crystal plasticity models. QRU Quaderns de Recerca en Urbanisme. 587–593. 1 indexed citations
18.
Muramatsu, Mayu, et al.. (2010). A Phase-Field Simulation of Nucleation from Subgrain and Grain Growth in Static Recrystallization. Journal of the Society of Materials Science Japan. 59(11). 853–860. 1 indexed citations
19.
Omoto, Y, Satoshi Inoue, Sumito Ogawa, et al.. (2001). Clinical value of the wild-type estrogen receptor β expression in breast cancer. Cancer Letters. 163(2). 207–212. 113 indexed citations
20.
Muramatsu, Mayu, et al.. (1996). Considerations in shaft excavation and peripheral ground deformation. 173–178. 6 indexed citations

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.

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