Kenjiro Sugio

644 total citations
66 papers, 508 citations indexed

About

Kenjiro Sugio is a scholar working on Mechanical Engineering, Materials Chemistry and Ceramics and Composites. According to data from OpenAlex, Kenjiro Sugio has authored 66 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Mechanical Engineering, 29 papers in Materials Chemistry and 27 papers in Ceramics and Composites. Recurrent topics in Kenjiro Sugio's work include Aluminum Alloys Composites Properties (36 papers), Advanced ceramic materials synthesis (27 papers) and Aluminum Alloy Microstructure Properties (15 papers). Kenjiro Sugio is often cited by papers focused on Aluminum Alloys Composites Properties (36 papers), Advanced ceramic materials synthesis (27 papers) and Aluminum Alloy Microstructure Properties (15 papers). Kenjiro Sugio collaborates with scholars based in Japan, China and United States. Kenjiro Sugio's co-authors include Gen Sasaki, Yongbum Choi, Kazuhiro Matsugi, Moonhee Lee, Xingang Liu, Yoshiharu Shimomura, Osamu Yanagisawa, Hiroshi Fukushima, Wenquan Li and T. Dı́az de la Rubia and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of The Electrochemical Society and Materials Science and Engineering A.

In The Last Decade

Kenjiro Sugio

58 papers receiving 496 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kenjiro Sugio Japan 13 393 240 156 96 73 66 508
Kai Ma China 12 458 1.2× 276 1.1× 187 1.2× 112 1.2× 92 1.3× 39 526
Zhenlong Chao China 12 475 1.2× 358 1.5× 232 1.5× 108 1.1× 80 1.1× 42 610
E. J. Herrera Spain 13 418 1.1× 145 0.6× 183 1.2× 77 0.8× 89 1.2× 32 472
H. Liu China 10 431 1.1× 286 1.2× 117 0.8× 102 1.1× 133 1.8× 18 606
B. Lynn Ferguson United States 8 402 1.0× 269 1.1× 87 0.6× 192 2.0× 169 2.3× 43 556
R. Valle France 10 473 1.2× 325 1.4× 231 1.5× 100 1.0× 197 2.7× 24 620
Mingqiang Chu China 11 425 1.1× 237 1.0× 73 0.5× 38 0.4× 59 0.8× 19 484
S. Sabooni Iran 14 518 1.3× 271 1.1× 38 0.2× 81 0.8× 133 1.8× 30 616
Jiawei Sun China 15 441 1.1× 150 0.6× 63 0.4× 74 0.8× 88 1.2× 35 504
Xiaopeng Li China 11 328 0.8× 153 0.6× 36 0.2× 53 0.6× 82 1.1× 37 424

Countries citing papers authored by Kenjiro Sugio

Since Specialization
Citations

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

Fields of papers citing papers by Kenjiro Sugio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenjiro Sugio

This figure shows the co-authorship network connecting the top 25 collaborators of Kenjiro Sugio. A scholar is included among the top collaborators of Kenjiro Sugio 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 Kenjiro Sugio. Kenjiro Sugio 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.
Sugio, Kenjiro, et al.. (2025). Prediction and Optimization of Microhardness of Electroless Ni–P Alloy Coating Based on Machine Learning. Journal of The Electrochemical Society. 172(3). 32501–32501. 2 indexed citations
2.
Sugio, Kenjiro, et al.. (2025). Accurate binding energy database based on first-principles calculations for Monte Carlo simulations of aluminum-based alloy. Modelling and Simulation in Materials Science and Engineering. 33(2). 25004–25004.
3.
Liu, Xingang, et al.. (2025). Coupled behavior of dynamic restoration mechanisms and α phase evolution in TC18 titanium alloy during hot deformation. Journal of Alloys and Compounds. 1048. 185322–185322.
4.
5.
Li, Wenquan, et al.. (2023). Microstructure evolution, property analysis, and interface study of 3%CF-3%SiC-10%SiC functional gradient aluminum matrix composites. Materials Science and Engineering A. 872. 145010–145010. 17 indexed citations
6.
Wu, Di, et al.. (2023). Preparation and Thermal Conductivity of Copper Plated Carbon Fiber Dispersed Steel Matrix Composites. MATERIALS TRANSACTIONS. 64(6). 1205–1209. 5 indexed citations
7.
Wu, Di, Kenjiro Sugio, & Gen Sasaki. (2023). Effective Thermal Conductivity and Thermal Resistance of Electroless Copper Plated Carbon Fiber and Fe Composite. MATERIALS TRANSACTIONS. 64(2). 586–595.
8.
Sugio, Kenjiro, et al.. (2022). Microstructural Classification of Unmodified and Strontium Modified Al–Si–Mg Casting Alloys with Machine Learning Techniques. MATERIALS TRANSACTIONS. 64(1). 171–176. 3 indexed citations
9.
Sugio, Kenjiro, et al.. (2021). Classification of Microstructures of Al–Si Casting Alloy in Different Cooling Rates with Machine Learning Technique. MATERIALS TRANSACTIONS. 62(6). 719–725. 9 indexed citations
10.
Matsugi, Kazuhiro, Zhefeng Xu, Yongbum Choi, et al.. (2020). Effect of Si Addition on Microstructure and Mechanical Properties of Al–1.5%Mn Alloys. MATERIALS TRANSACTIONS. 61(7). 1355–1363. 2 indexed citations
11.
Choi, Yongbum, et al.. (2017). Microstructures of Al<sub>3</sub>Ni Particles Reinforced Composites by Infiltration and Reaction Method and Their Properties. MATERIALS TRANSACTIONS. 58(8). 1235–1237. 1 indexed citations
12.
Choi, Yongbum, et al.. (2017). Manufacturing of Carbon Nanotube Preform with High Porosity and Its Application in Metal Matrix Composites. MATERIALS TRANSACTIONS. 58(5). 834–837. 2 indexed citations
13.
Matsugi, Kazuhiro, Zhefeng Xu, Yongbum Choi, et al.. (2015). Compositional Optimization of Al-Mn-X Alloys and, Their Tensile and Corrosion Properties. MATERIALS TRANSACTIONS. 56(10). 1675–1682. 8 indexed citations
14.
Yao, Youqiang, Zhefeng Xu, Kenjiro Sugio, et al.. (2015). Nickel Formation on Graphite Sheet Surface for Improving Wettability with Magnesium Alloy. MATERIALS TRANSACTIONS. 56(10). 1693–1697. 6 indexed citations
15.
Lee, Moonhee, et al.. (2014). Microstructure Observation of Preform for High Performance VGCF/Aluminum Composites. MATERIALS TRANSACTIONS. 55(5). 827–830. 3 indexed citations
16.
Nishiyama, Fumitaka, et al.. (2013). Nano-Voids Formation and Hydrogen Configuration in Low Frictional Cr-Mo Layers Electrodeposited with Organic Sulfonic Acid Catalyst. Journal of the Japan Institute of Metals and Materials. 77(11). 527–536. 1 indexed citations
17.
Lee, Moonhee, Yongbum Choi, Kenjiro Sugio, Kazuhiro Matsugi, & Gen Sasaki. (2011). Fabrication and characterization of unidirectional CF/Al composites. SHILAP Revista de lepidopterología. 18(3). 167–171. 6 indexed citations
18.
Zhang, Di, et al.. (2008). Effect of Volume Fraction on the Flow Behavior of Al-SiC Composites Considering the Spatial Distribution of Delaminated Particles. MATERIALS TRANSACTIONS. 49(3). 661–670. 15 indexed citations
19.
Zhang, Di, et al.. (2007). Effect of Spatial Distribution of SiC Particles on the Tensile Deformation Behavior of Al-10 vol%SiC Composites. MATERIALS TRANSACTIONS. 48(2). 171–177. 23 indexed citations
20.
Sugio, Kenjiro, Hiroshi Fukushima, & Osamu Yanagisawa. (2006). Molecular Dynamics Simulation of Grain Boundary Formation and Migration in Silicon. MATERIALS TRANSACTIONS. 47(11). 2711–2717. 5 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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