Masao Yano

1.7k total citations
59 papers, 1.2k citations indexed

About

Masao Yano is a scholar working on Electronic, Optical and Magnetic Materials, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Masao Yano has authored 59 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electronic, Optical and Magnetic Materials, 18 papers in Atomic and Molecular Physics, and Optics and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Masao Yano's work include Magnetic Properties of Alloys (20 papers), Magnetic properties of thin films (18 papers) and Magnetic Properties and Applications (15 papers). Masao Yano is often cited by papers focused on Magnetic Properties of Alloys (20 papers), Magnetic properties of thin films (18 papers) and Magnetic Properties and Applications (15 papers). Masao Yano collaborates with scholars based in Japan, Switzerland and Austria. Masao Yano's co-authors include Minoru Inoue, Eisuke Maehata, Seiji Suzuki, Zenya Naito, Gorô Asano, Minoru Yamakado, Matsuo Taniyama, Kazuo Ikeda, Yoshihiko Sumi and Akira Kato and has published in prestigious journals such as Journal of Applied Physics, Scientific Reports and IEEE Transactions on Industry Applications.

In The Last Decade

Masao Yano

53 papers receiving 1.2k citations

Peers

Countries citing papers authored by Masao Yano

Since Specialization

Citations

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

Fields of papers citing papers by Masao Yano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masao Yano

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Image-based prediction and optimization of hysteresis properties of nanocrystalline permanent magnets using deep learning 2024 ·Journal of Magnetism and Magnetic Materials ·Alexander Kovacs, Lukas Exl, (unknown), Johann Fischbacher, (unknown), Markus Gusenbauer, (unknown), Harald Oezelt, Masao Yano, Noritsugu Sakuma, Akihito Kinoshita, (unknown), Akira Kato, T. Schrefl	3
2	Physics-informed machine learning combining experiment and simulation for the design of neodymium-iron-boron permanent magnets with reduced critical-elements content 2023 ·Frontiers in Materials ·Alexander Kovacs, Johann Fischbacher, Harald Oezelt, (unknown), (unknown), Markus Gusenbauer, Masao Yano, Noritsugu Sakuma, Akihito Kinoshita, Tetsuya Shoji, Akira Kato, Yuan Hong, S. Grenier, Thibaut Devillers, Nora M. Dempsey, Tetsuya Fukushima, H. Akai, Naoki Kawashima, Takashi Miyake, T. Schrefl	13
3	Feature Space of XRD Patterns Constructed by an Autoencoder 2022 ·Advanced Theory and Simulations ·(unknown), Masao Yano, (unknown), Kenta Hongo, Kousuke Nakano, Ryo Maezono	9
4	Atomistic simulations of α-Fe/Nd2Fe14B magnetic core/shell nanocomposites with enhanced energy product for high temperature permanent magnet applications 2020 ·Journal of Applied Physics ·(unknown), (unknown), Tetsuya Shoji, Masao Yano, Akira Kato, Masaaki Ito, G. Hrkac, T. Schrefl, Richard F. L. Evans, R.W. Chantrell	14
5	Materials informatics approach to understand aluminum alloys 2020 ·Science and Technology of Advanced Materials ·Ryo Tamura, Makoto Watanabe, Hiroaki Mamiya, (unknown), Masao Yano, Katsunori Danno, Akira Kato, Tetsuya Shoji	14
6	EM-algorithm Enpowers Material Science: Application of Inverse Estimation for Small Angle Scattering. 2020 ·(unknown), (unknown), Kanta Ono, Masao Yano, Tetsuya Shoji, Kotaro Saito, Chiharu Mitsumata	0
7	Accelerating small-angle scattering experiments on anisotropic samples using kernel density estimation 2019 ·Scientific Reports ·Kotaro Saito, Masao Yano, Hideitsu Hino, Tetsuya Shoji, (unknown), (unknown), Chiharu Mitsumata, Joachim Kohlbrecher, Kanta Ono	15
8	High-Temperature Stability of ThMn<sub>12</sub> Magnet Materials 2018 ·MATERIALS TRANSACTIONS ·Kurima Kobayashi, (unknown), Shunji Suzuki, (unknown), Kimiko Urushibata, Noritsugu Sakuma, Masao Yano, Tetsuya Shoji, Akira Kato, Akira Manabe, Satoshi Sugimoto	15
9	Element-specific Magnetic Domain Observation of (Nd, Dy)-Fe-B Sintered Magnet Using Scanning Transmission X-ray Microscopy 2011 ·Materia Japan ·Kanta Ono, Tohru Araki, Masao Yano, (unknown)	2
10	A new on-board energy storage system for the railway rolling stock utilizing the overvoltage durability of traction motors 2009 ·European Conference on Power Electronics and Applications ·Masao Yano, (unknown), Satoru Kuramochi	3
11	Serum superoxide dismutase activity correlates with the components of metabolic syndrome or carotid artery intima-media thickness 2009 ·Diabetes Research and Clinical Practice ·Akihiro Isogawa, Minoru Yamakado, Masao Yano, Teruo Shiba	31
12	Correlation between the adiponectin-leptin ratio and parameters of insulin resistance in patients with type 2 diabetes 2005 ·Metabolism ·Minoru Inoue, Eisuke Maehata, Masao Yano, Matsuo Taniyama, Seiji Suzuki	149
13	Increased electronegative charge of serum low-density lipoprotein in patients with diabetes mellitus 2003 ·Clinica Chimica Acta ·Masao Yano, Minoru Inoue, Eisuke Maehata, Teruo Shiba, Minoru Yamakado, (unknown), Matsuo Taniyama, Seiji Suzuki	22
14	High blood superoxide dismutase (SOD) states in patients with diabetes mellitus. : Dependence on extracellular (EC)-SOD. 2002 ·Eisuke Maehata, Tetsuo Adachi, Minoru Inoue, Masao Yano, (unknown), Teruo Shiba, Minoru Yamakado, Takeshi Inoue, Seiji Suzuki, Takeshi Kawaguchi, Eiichiro Okabe	2
15	Expression of Cathepsin B and Cystatin C in Human Breast Cancer 2001 ·Surgery Today ·Masao Yano, Kyoji Hirai, Zenya Naito, (unknown), Toshiyuki Ishiwata, (unknown), (unknown), Gorô Asano	62
16	Standardization of HbA1c value and its comparison to immunoassay — two years of experience 1996 ·Diabetes Research and Clinical Practice ·Teruo Shiba, Masao Yano, Eisuke Maehata, (unknown), (unknown), (unknown), Ryoko Hagura	5
17	Expression and Roles of Heat Shock Proteins in Human Breast Cancer 1996 ·Japanese Journal of Cancer Research ·Masao Yano, Zenya Naito, Shigeo Tanaka, Gorô Asano	96
18	Clinical Evaluation of 3M DryView System 1996 ·Japanese Journal of Radiological Technology ·(unknown), (unknown), Masao Yano, Tsuyoshi Matsuo, (unknown), (unknown), (unknown), (unknown), (unknown)	0
19	A Case Report of Solid Cystic Tumor of the Pancreas. 1992 ·The Japanese Journal of Gastroenterological Surgery ·(unknown), Masashi Takahashi, Masao Yano, (unknown)	1
20	Speed sensor-less vector control of induction motor using model reference adaptive system. 1988 ·IEEJ Transactions on Industry Applications ·H. Sugimoto, (unknown), Masao Yano	10

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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