Yuma Iwasaki

599 total citations
30 papers, 440 citations indexed

About

Yuma Iwasaki is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Yuma Iwasaki has authored 30 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Materials Chemistry, 11 papers in Atomic and Molecular Physics, and Optics and 8 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Yuma Iwasaki's work include Machine Learning in Materials Science (16 papers), Magnetic properties of thin films (8 papers) and X-ray Diffraction in Crystallography (7 papers). Yuma Iwasaki is often cited by papers focused on Machine Learning in Materials Science (16 papers), Magnetic properties of thin films (8 papers) and X-ray Diffraction in Crystallography (7 papers). Yuma Iwasaki collaborates with scholars based in Japan, United States and France. Yuma Iwasaki's co-authors include Ichiro Takeuchi, Masahiko Ishida, A. Gilad Kusne, Eiji Saitoh, Akihiro Kirihara, Shinichi Yorozu, Ken‐ichi Uchida, Kazuki Ihara, Valentin Stanev and Masato Kotsugi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Surface Science.

In The Last Decade

Yuma Iwasaki

23 papers receiving 430 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yuma Iwasaki Japan 10 306 109 101 73 46 30 440
Siamak Dadras United States 14 247 0.8× 128 1.2× 110 1.1× 68 0.9× 84 1.8× 24 547
S. Iordănescu Romania 14 229 0.7× 102 0.9× 424 4.2× 70 1.0× 19 0.4× 71 559
Ke Sun China 12 217 0.7× 88 0.8× 182 1.8× 107 1.5× 28 0.6× 31 449
Sitangshu Bhattacharya India 11 254 0.8× 178 1.6× 197 2.0× 26 0.4× 12 0.3× 76 422
Zhi-Yong Jiao China 12 296 1.0× 255 2.3× 166 1.6× 58 0.8× 43 0.9× 47 623
Yajuan Qi China 6 98 0.3× 223 2.0× 32 0.3× 52 0.7× 37 0.8× 9 341
Ying-Yen Liao Taiwan 11 156 0.5× 153 1.4× 109 1.1× 56 0.8× 30 0.7× 31 349
Hideki Mori Japan 14 426 1.4× 70 0.6× 46 0.5× 131 1.8× 146 3.2× 59 660
Berk Onat Türkiye 7 258 0.8× 51 0.5× 64 0.6× 18 0.2× 47 1.0× 8 314
Jianqiang Zhao China 12 173 0.6× 97 0.9× 184 1.8× 88 1.2× 83 1.8× 30 431

Countries citing papers authored by Yuma Iwasaki

Since Specialization
Citations

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

Fields of papers citing papers by Yuma Iwasaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuma Iwasaki

This figure shows the co-authorship network connecting the top 25 collaborators of Yuma Iwasaki. A scholar is included among the top collaborators of Yuma Iwasaki 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 Yuma Iwasaki. Yuma Iwasaki 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.
Iwasaki, Yuma, et al.. (2025). High-throughput materials exploration system for the anomalous Hall effect using combinatorial experiments and machine learning. npj Computational Materials. 11(1). 1 indexed citations
2.
3.
Yamazaki, Takahiro, Yoshinori Kotani, Takuo Ohkochi, et al.. (2025). Uncovering the origin of magnetic moment enhancement in Fe–Co–Ir alloys via high-throughput XMCD. Physical Review Materials. 9(3).
4.
Tsuda, S., Yuma Iwasaki, Susumu Yamamoto, et al.. (2025). High-throughput evaluation of half-metallicity of Co 2 MnSi Heusler alloys using composition-spread films and spin-integrated hard X-ray photoelectron spectroscopy. Science and Technology of Advanced Materials. 26(1). 2439781–2439781. 1 indexed citations
5.
Tamura, Ryo, et al.. (2025). Autonomous closed-loop exploration of composition-spread films for the anomalous Hall effect. npj Computational Materials. 11(1).
6.
Iwasaki, Yuma, et al.. (2024). Autonomous search for half-metallic materials with B 2 structure. SHILAP Revista de lepidopterología. 4(1). 2 indexed citations
7.
8.
Iwasaki, Yuma, et al.. (2023). Improving efficiency of autonomous material search via transfer learning from nontarget properties. SHILAP Revista de lepidopterología. 3(1). 3 indexed citations
9.
Li, Mingda, Yuma Iwasaki, Nicolas Regnault, et al.. (2023). Materials Informatics for the Development and Discovery of Future Magnetic Materials. IEEE Magnetics Letters. 14. 1–5. 2 indexed citations
10.
11.
Kokado, Satoshi, Keisuke Masuda, Zehao Li, et al.. (2023). Origin of negative anisotropic magnetoresistance effect in Fe0.75Co0.25 single-crystal thin films upon Ir addition. Physical Review Materials. 7(8). 8 indexed citations
12.
Iwasaki, Yuma, et al.. (2022). Efficient autonomous material search method combining ab initio calculations, autoencoder, and multi-objective Bayesian optimization. SHILAP Revista de lepidopterología. 2(1). 365–371. 11 indexed citations
13.
Miura, Yoshio, et al.. (2022). Autonomous synthesis system integrating theoretical, informatics, and experimental approaches for large-magnetic-anisotropy materials. SHILAP Revista de lepidopterología. 2(1). 280–293. 9 indexed citations
14.
Iwasaki, Yuma, et al.. (2022). Skill-Agnostic analysis of reflection high-energy electron diffraction patterns for Si(111) surface superstructures using machine learning. SHILAP Revista de lepidopterología. 2(1). 162–174. 5 indexed citations
15.
Iwasaki, Yuma, et al.. (2021). Machine learning autonomous identification of magnetic alloys beyond the Slater-Pauling limit. Communications Materials. 2(1). 43 indexed citations
16.
Iwasaki, Yuma, Ichiro Takeuchi, Valentin Stanev, et al.. (2019). Machine-learning guided discovery of a new thermoelectric material. Scientific Reports. 9(1). 2751–2751. 95 indexed citations
17.
Kirihara, Akihiro, Masahiko Ishida, Ryota Yuge, et al.. (2018). Annealing-temperature-dependent voltage-sign reversal in all-oxide spin Seebeck devices using RuO2. Journal of Physics D Applied Physics. 51(15). 154002–154002. 11 indexed citations
18.
Iwasaki, Yuma, A. Gilad Kusne, & Ichiro Takeuchi. (2017). Comparison of dissimilarity measures for cluster analysis of X-ray diffraction data from combinatorial libraries. npj Computational Materials. 3(1). 84 indexed citations
19.
Kirihara, Akihiro, Koichi Kondo, Masahiko Ishida, et al.. (2016). Flexible heat-flow sensing sheets based on the longitudinal spin Seebeck effect using one-dimensional spin-current conducting films. Scientific Reports. 6(1). 23114–23114. 57 indexed citations
20.
Kato, Takahiro, Yuma Iwasaki, Takayasu Fujino, & Ikkoh Funaki. (2015). Thrust Measurement of Radio Frequency Inductively Coupled Plasma Thruster. 53rd AIAA Aerospace Sciences Meeting.

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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