Masakazu Soshi

1.0k total citations
53 papers, 546 citations indexed

About

Masakazu Soshi is a scholar working on Mechanical Engineering, Automotive Engineering and Biomedical Engineering. According to data from OpenAlex, Masakazu Soshi has authored 53 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Mechanical Engineering, 10 papers in Automotive Engineering and 9 papers in Biomedical Engineering. Recurrent topics in Masakazu Soshi's work include Advanced machining processes and optimization (21 papers), Additive Manufacturing Materials and Processes (13 papers) and Additive Manufacturing and 3D Printing Technologies (10 papers). Masakazu Soshi is often cited by papers focused on Advanced machining processes and optimization (21 papers), Additive Manufacturing Materials and Processes (13 papers) and Additive Manufacturing and 3D Printing Technologies (10 papers). Masakazu Soshi collaborates with scholars based in United States, Japan and Austria. Masakazu Soshi's co-authors include Kazuo Yamazaki, Atsuko Miyaji, Wei Li, M. Mori, Geng Li, Kazumasa Omote, Keita Emura, Xianbing Liu, Weijun Zhang and Yohei Oda and has published in prestigious journals such as CIRP Annals, Materials Letters and The International Journal of Advanced Manufacturing Technology.

In The Last Decade

Masakazu Soshi

48 papers receiving 520 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masakazu Soshi United States 13 360 125 110 94 91 53 546
Joan Vivancos Calvet Spain 12 363 1.0× 56 0.4× 79 0.7× 162 1.7× 76 0.8× 38 631
Weidong Wang China 12 364 1.0× 241 1.9× 59 0.5× 50 0.5× 23 0.3× 47 679
Mojtaba Khanzadeh United States 11 736 2.0× 526 4.2× 112 1.0× 72 0.8× 351 3.9× 19 1.0k
Xianglei Xing China 14 241 0.7× 82 0.7× 95 0.9× 164 1.7× 13 0.1× 37 656
Zhonghua Yu China 16 504 1.4× 301 2.4× 119 1.1× 147 1.6× 252 2.8× 47 848
Ihab Ragai United States 11 327 0.9× 33 0.3× 32 0.3× 68 0.7× 184 2.0× 50 600
Upasna Singh India 13 423 1.2× 11 0.1× 44 0.4× 49 0.5× 65 0.7× 62 611
Burhan Duman Türkiye 8 119 0.3× 68 0.5× 27 0.2× 51 0.5× 47 0.5× 17 342
Jiachi Yao China 12 167 0.5× 156 1.2× 46 0.4× 20 0.2× 27 0.3× 22 546

Countries citing papers authored by Masakazu Soshi

Since Specialization
Citations

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

Fields of papers citing papers by Masakazu Soshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masakazu Soshi

This figure shows the co-authorship network connecting the top 25 collaborators of Masakazu Soshi. A scholar is included among the top collaborators of Masakazu Soshi 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 Masakazu Soshi. Masakazu Soshi 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.
Li, Geng, et al.. (2025). Productive Energy Fluence (PEF) controller using feed and laser hybrid control for Directed Energy Deposition (DED). Journal of Manufacturing Processes. 142. 1–17.
2.
Soshi, Masakazu, et al.. (2025). Comparison of three hybrid metal additive-subtractive manufacturing processes. CIRP Annals. 74(1). 321–325.
3.
Zhang, Weijun, et al.. (2024). The effect of productive and quality deposition strategies on residual stress for Directed Energy Deposition (DED) process. Manufacturing Letters. 41. 868–878. 1 indexed citations
4.
Soshi, Masakazu, et al.. (2022). Numerical Study of Material Selection for Optimal Directed Energy Deposition Single Nozzle Powder Efficiency. Journal of Manufacturing Science and Engineering. 144(12). 7 indexed citations
5.
Li, Geng, et al.. (2021). High productivity fluence based control of Directed Energy Deposition (DED) part geometry. Journal of Manufacturing Processes. 65. 407–417. 24 indexed citations
6.
Maruyama, Shigeaki, et al.. (2020). Design and Analysis of a Built-in Yaw Measurement System Using Dual Linear Scales for Automatic Machine Tool Error Compensation. Journal of Manufacturing Processes. 56. 1286–1293. 10 indexed citations
7.
Li, Wei & Masakazu Soshi. (2019). Modeling analysis of the effect of laser transverse speed on grain morphology during directed energy deposition process. The International Journal of Advanced Manufacturing Technology. 103(9-12). 3279–3291. 26 indexed citations
8.
9.
Soshi, Masakazu, et al.. (2017). Innovative grid molding and cooling using an additive and subtractive hybrid CNC machine tool. CIRP Annals. 66(1). 401–404. 38 indexed citations
10.
Soshi, Masakazu, et al.. (2016). Vision-based system for chatter identification and process optimization in high-speed milling. The International Journal of Advanced Manufacturing Technology. 89(9-12). 2757–2769. 34 indexed citations
11.
Soshi, Masakazu, et al.. (2016). Sliding performance of machined grey cast iron surfaces after compliant abrasive surface polishing. The International Journal of Advanced Manufacturing Technology. 90(9-12). 3483–3496. 2 indexed citations
12.
Soshi, Masakazu, et al.. (2013). A productive and cost-effective CBN hard milling-based fabrication method of hardened sliding guideways made of refined cast iron. The International Journal of Advanced Manufacturing Technology. 70(5-8). 911–917. 8 indexed citations
13.
Waseda, Atsushi & Masakazu Soshi. (2012). Consideration for multi-threshold multi-secret sharing schemes. International Symposium on Information Theory and its Applications. 265–269. 2 indexed citations
14.
Soshi, Masakazu, et al.. (2012). A Study on The Effect of Rotational Dynamic Characteristics of a Machine Tool Spindle Drive on Milling Processes. Procedia CIRP. 1. 319–324. 3 indexed citations
15.
Soshi, Masakazu, et al.. (2012). High Performance Spindle Systems for Heavy Duty Milling of Difficult-To-Cut Aerospace Materials. SAE International Journal of Materials and Manufacturing. 6(1). 43–56. 1 indexed citations
16.
Soshi, Masakazu, et al.. (2011). Development of a high torque–high power spindle system equipped with a synchronous motor for high performance cutting. CIRP Annals. 60(1). 399–402. 8 indexed citations
17.
18.
Soshi, Masakazu, Mamoru Maekawa, & Eiji Okamoto. (2004). The Dynamic-Typed Access Matrix Model and Decidability of the Safety Problem. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 87(1). 190–203. 7 indexed citations
19.
Soshi, Masakazu, et al.. (2003). Software Obfuscation on a Theoretical Basis and Its Implementation. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 86(1). 176–186. 51 indexed citations
20.
Soshi, Masakazu & Mamoru Maekawa. (1997). A New Authorization Model and its Mechanism Using Service Paths in Open Distributed Environments.. 1 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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