Shunichi HAYASHI

2.2k total citations
45 papers, 1.7k citations indexed

About

Shunichi HAYASHI is a scholar working on Polymers and Plastics, Materials Chemistry and Mechanical Engineering. According to data from OpenAlex, Shunichi HAYASHI has authored 45 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Polymers and Plastics, 12 papers in Materials Chemistry and 9 papers in Mechanical Engineering. Recurrent topics in Shunichi HAYASHI's work include Polymer composites and self-healing (33 papers), Shape Memory Alloy Transformations (8 papers) and Advanced Materials and Mechanics (7 papers). Shunichi HAYASHI is often cited by papers focused on Polymer composites and self-healing (33 papers), Shape Memory Alloy Transformations (8 papers) and Advanced Materials and Mechanics (7 papers). Shunichi HAYASHI collaborates with scholars based in Japan, Germany and Poland. Shunichi HAYASHI's co-authors include Hisaaki TOBUSHI, Hisashi Hara, Etsuko Yamada, Toshisada Takahashi, Witold M. Sokolowski, Jean Raymond, Annick Metcalfe, L’Hocine Yahia, Hitoshi Ohtaki and Toshio Yamaguchi and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Physical Chemistry and Inorganic Chemistry.

In The Last Decade

Shunichi HAYASHI

44 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shunichi HAYASHI Japan	16	1.4k	722	393	349	295	45	1.7k
Zhiyong Jiang China	22	1.5k 1.1×	275 0.4×	348 0.9×	314 0.9×	12 0.0×	53	2.0k
J. T. Garrett United States	10	542 0.4×	200 0.3×	197 0.5×	66 0.2×	10 0.0×	12	843
Han Sup Lee South Korea	22	596 0.4×	268 0.4×	423 1.1×	80 0.2×	5 0.0×	44	1.1k
Francesco Di Franco Italy	23	139 0.1×	916 1.3×	128 0.3×	257 0.7×	8 0.0×	89	1.5k
Qiheng Tang China	21	438 0.3×	437 0.6×	363 0.9×	194 0.6×	4 0.0×	76	1.3k
Markéta Ilčíková Slovakia	23	572 0.4×	345 0.5×	691 1.8×	121 0.3×	2 0.0×	63	1.5k
Zhihong Wu China	18	159 0.1×	368 0.5×	96 0.2×	372 1.1×	5 0.0×	67	1.2k

Countries citing papers authored by Shunichi HAYASHI

Since Specialization

Citations

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

Fields of papers citing papers by Shunichi HAYASHI

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shunichi HAYASHI

This figure shows the co-authorship network connecting the top 25 collaborators of Shunichi HAYASHI. A scholar is included among the top collaborators of Shunichi HAYASHI 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 Shunichi HAYASHI. Shunichi HAYASHI 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

HAYASHI, Shunichi, et al.. (2018). Determination of Fluorine Chemical Structure in Slag by Thermal Hydrolysis He-MIP-OES. Analytical Sciences. 34(6). 675–679. 1 indexed citations

Takeda, Kohei, et al.. (2017). Mechanical Properties of Shape Memory Polymer Modeled by Fused Deposition Modeling 3D Printer. The Proceedings of Mechanical Engineering Congress Japan. 2017(0). J0430103–J0430103. 1 indexed citations

Takeda, Kohei, et al.. (2016). Deformation Properties of 3D Printed Shape Memory Polymer. Key engineering materials. 725. 378–382. 4 indexed citations

Takeda, Kohei, Ryosuke Matsui, Hisaaki TOBUSHI, & Shunichi HAYASHI. (2016). Functionally-graded shape memory polymer board. SHILAP Revista de lepidopterología. 3(6). 16–157. 2 indexed citations

Pieczyska, E. A., Michał Maj, K. Kowalczyk-Gajewska, et al.. (2014). Mechanical and Infrared Thermography Analysis of Shape Memory Polyurethane. Journal of Materials Engineering and Performance. 23(7). 2553–2560. 17 indexed citations

HAYASHI, Shunichi. (2012). Applications to the Textile Field of Shape Memory Polymers (SMP). Nihon Kikai Gakkaishi/Journal of the Japan Society of Mechanical Engineers. 115(1129). 802–803. 1 indexed citations

TOBUSHI, Hisaaki, et al.. (2010). Fabrication and Two-Way Deformation of Shape Memory Composite with SMA and SMP. Materials science forum. 638-642. 2189–2194. 12 indexed citations

TOBUSHI, Hisaaki, et al.. (2009). Performance of Shape Memory Composite with SMA and SMP. Diffusion and defect data, solid state data. Part B, Solid state phenomena/Solid state phenomena. 154. 65–70. 7 indexed citations

Sokolowski, Witold M., Annick Metcalfe, Shunichi HAYASHI, L’Hocine Yahia, & Jean Raymond. (2007). Medical applications of shape memory polymers. Biomedical Materials. 2(1). S23–S27. 277 indexed citations

10.

TOBUSHI, Hisaaki, et al.. (2007). Shape Memory Composite of SMA and SMP and its Property. Key engineering materials. 340-341. 1187–1192. 14 indexed citations

11.

Minami, Shintaro, et al.. (2005). New Actuator Using Shape Memory Polymer for Space .... 56th International Astronautical Congress of the International Astronautical Federation, the International Academy of Astronautics, and the International Institute of Space Law. 1 indexed citations

12.

Kanoh, Shigeyoshi, et al.. (2004). Preparation of aqueous dispersible polyurethane: Effect of acetone on the particle size and storage stability of polyurethane emulsion. Journal of Applied Polymer Science. 91(6). 3455–3461. 31 indexed citations

13.

Kanoh, Shigeyoshi, et al.. (2004). Preparation and Shelf‐Life Stability of Aqueous Polyurethane Dispersion. Macromolecular Symposia. 216(1). 229–240. 17 indexed citations

14.

TOBUSHI, Hisaaki, et al.. (2002). Shape Fixity and Shape Recovery of Polyurethane-Shape Memory Polymer Foam.. TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series A. 68(675). 1594–1599. 4 indexed citations

15.

TOBUSHI, Hisaaki, et al.. (2002). Creep and Stress Relaxation of Polyurethane-Shape Memory Polymer Foam.. TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series A. 68(676). 1788–1793. 4 indexed citations

16.

TOBUSHI, Hisaaki, et al.. (2000). Thermomechanical properties of polyurethane-shape memory polymer foam.. Journal of Advanced Science. 12(3). 281–286. 2 indexed citations

17.

TOBUSHI, Hisaaki, Shunichi HAYASHI, Etsuko Yamada, & Takahiro Hashimoto. (1998). Constitutive Modeling for Thermomechanical Properties in Shape Memory Polymer of Polyurethane Series.. TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series A. 64(617). 186–192. 8 indexed citations

18.

Takahashi, Toshisada, et al.. (1996). Structure and properties of shape-memory polyurethane block copolymers. Journal of Applied Polymer Science. 60(7). 1061–1069. 259 indexed citations

19.

TOBUSHI, Hisaaki, Shunichi HAYASHI, & Shinichi Kojima. (1992). Cyclic Deformation Properties of Shape Memory Polymer of Polyurethane Series.. TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series A. 58(554). 1883–1888. 2 indexed citations

20.

HAYASHI, Shunichi, et al.. (1985). Separation of Cobalt(II) and (III) by Liquid-Liquid Distribution Method Utilizing Their Difference in Kinetic Behavior. Analytical Sciences. 1(2). 197–198. 3 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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