Akio Hayashi

2.3k total citations
93 papers, 1.1k citations indexed

About

Akio Hayashi is a scholar working on Mechanical Engineering, Organic Chemistry and Industrial and Manufacturing Engineering. According to data from OpenAlex, Akio Hayashi has authored 93 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Mechanical Engineering, 23 papers in Organic Chemistry and 13 papers in Industrial and Manufacturing Engineering. Recurrent topics in Akio Hayashi's work include Manufacturing Process and Optimization (10 papers), Advanced machining processes and optimization (8 papers) and Advanced Machining and Optimization Techniques (7 papers). Akio Hayashi is often cited by papers focused on Manufacturing Process and Optimization (10 papers), Advanced machining processes and optimization (8 papers) and Advanced Machining and Optimization Techniques (7 papers). Akio Hayashi collaborates with scholars based in Japan, United States and Indonesia. Akio Hayashi's co-authors include Masahiko Yamaguchi, Masahiro Hirama, Yoshitaka Goto, Masaharu Nakayama, Yasuhiro Kimura, Eiichi Yamada, Hiroyuki Tsuchida, Toshiaki Kitano, Koichi Ito and Takeo MATSUMOTΟ and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Chemistry of Materials.

In The Last Decade

Akio Hayashi

81 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akio Hayashi Japan 17 547 193 183 155 153 93 1.1k
Tibor Höltzl Hungary 19 285 0.5× 408 2.1× 164 0.9× 96 0.6× 111 0.7× 56 1.1k
M. J. Diáñez Spain 16 300 0.5× 716 3.7× 99 0.5× 160 1.0× 199 1.3× 72 1.3k
Huisheng Huang China 17 213 0.4× 337 1.7× 122 0.7× 61 0.4× 108 0.7× 82 787
Guohui Zhou China 20 191 0.3× 334 1.7× 202 1.1× 73 0.5× 245 1.6× 48 1.2k
Mohamed I. Ayad Egypt 19 445 0.8× 257 1.3× 139 0.8× 84 0.5× 79 0.5× 46 937
Changjun Peng China 22 211 0.4× 557 2.9× 318 1.7× 57 0.4× 226 1.5× 57 1.2k
María‐Jesús Blesa Spain 18 229 0.4× 378 2.0× 51 0.3× 324 2.1× 124 0.8× 50 1.1k
Shida Gong China 17 216 0.4× 329 1.7× 95 0.5× 144 0.9× 34 0.2× 43 791
S. Mikhail Egypt 15 224 0.4× 442 2.3× 111 0.6× 41 0.3× 263 1.7× 43 974
Lihua Yu China 16 164 0.3× 479 2.5× 154 0.8× 83 0.5× 83 0.5× 48 938

Countries citing papers authored by Akio Hayashi

Since Specialization
Citations

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

Fields of papers citing papers by Akio Hayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akio Hayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Akio Hayashi. A scholar is included among the top collaborators of Akio 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 Akio Hayashi. Akio Hayashi 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.
Hirota, Masakazu, et al.. (2024). Evaluation of objective and subjective binocular ocular refraction with looking in type. BMC Ophthalmology. 24(1). 170–170.
2.
Hayashi, Akio, et al.. (2022). Study on Method for Avoiding Chatter Vibration by Changing Machine Tool Rigidity. International Journal of Automation Technology. 16(6). 853–861. 1 indexed citations
3.
Hayashi, Akio, et al.. (2021). Forward Kinematics Model for Evaluation of Machining Performance of Robot Type Machine Tool. International Journal of Automation Technology. 15(2). 215–223. 4 indexed citations
4.
Hayashi, Akio, et al.. (2021). Simulation of Energy Consumption During Machine Tool Operations Based on NC Data. International Journal of Automation Technology. 15(6). 764–773. 3 indexed citations
5.
Morimoto, Yoshitaka, et al.. (2020). Calibration Method of Parallel Mechanism Type Machine Tools. International Journal of Automation Technology. 14(3). 429–437. 6 indexed citations
6.
Morimoto, Yoshitaka, et al.. (2019). Development of Path Generation Method for Five-Axis 3D Printer. International Journal of Automation Technology. 13(3). 361–371. 3 indexed citations
7.
8.
Hayashi, Akio, Hiromi Ota, Sadafumi Nishihara, et al.. (2018). A Sandwich Complex of Bismuth Cation and Mono‐Lacunary α‐Keggin‐Type Phosphotungstate: Preparation and Structural Characterisation. European Journal of Inorganic Chemistry. 2019(3-4). 357–362. 8 indexed citations
9.
Hayashi, Akio, et al.. (2014). Evaluation of Energy Usage in Feed Drive Systems. Journal of the Japan Society for Precision Engineering. 80(4). 395–400.
10.
Hayashi, Akio, et al.. (2014). A Field Experiment of Sulfide Reduction in Silty Sediment using Steelmaking Slag. Tetsu-to-Hagane. 100(11). 1426–1432. 10 indexed citations
11.
Hayashi, Akio, et al.. (2014). Reduction Test of Hydrogen Sulfide in the Silty Sediment of the Fukuyama Inner Harbor Using Steelmaking Slag. Tetsu-to-Hagane. 100(3). 421–428. 6 indexed citations
12.
Hayashi, Akio, et al.. (2014). Tool Path Evaluation based on Electric Power Consumption of Feed Drive Systems in NC Machine Tool. Journal of the Japan Society for Precision Engineering. 80(7). 699–704. 1 indexed citations
13.
Hayashi, Akio, Ryuta Sato, & Keiichi SHIRASE. (2013). Measurement and Evaluation of Electric Power Consumption of Feed Drive Systems in NC Machine Tool. Journal of the Japan Society for Precision Engineering. 79(10). 930–936. 3 indexed citations
14.
Hayashi, Akio, et al.. (2012). EVALUATION OF LONG-TERM EFFECTS ON FACILITATION OF INHABITABILITY FOR LIVING THINGS BY STEEL-MAKING SLAG SUBMERGED BANK, OFF INNOSHIMA ISLAND, HIROSHIMA. Journal of Japan Society of Civil Engineers Ser B3 (Ocean Engineering). 68(2). I_564–I_569. 6 indexed citations
15.
Hayashi, Akio, Tetsuya Watanabe, Akira Takano, et al.. (2012). Decrease of Sulfide in Enclosed Coastal Sea by Using Steelmaking Slag. Tetsu-to-Hagane. 98(5). 207–214. 14 indexed citations
16.
Hayashi, Akio, et al.. (2011). ADHESION OF PLANTS AND ANIMALS ON STEEL MAKING SLAG MOUND IN COASTAL SEA AREA. Journal of Japan Society of Civil Engineers Ser B3 (Ocean Engineering). 67(2). I_394–I_399. 2 indexed citations
17.
Hayashi, Akio, et al.. (1997). PC data-compatible MPEG camera. 46(5). 227–230.
18.
Goto, Yoshitaka, Akio Hayashi, Yasuhiro Kimura, & Masaharu Nakayama. (1991). Second harmonic generation and crystal growth of substituted thienyl chalcone. Journal of Crystal Growth. 108(3-4). 688–698. 173 indexed citations
19.
Goto, Yoshitaka, Akio Hayashi, Masaaki Nakayama, et al.. (1990). Second harmonic generation and crystal structure of alkylthio group substituted chalcones.. NIPPON KAGAKU KAISHI. 968–975. 1 indexed citations
20.
Hayamizu, Kikuko, et al.. (1989). 1H and 13C NMR spectra of 4,4′‐substituted chalcones. Magnetic Resonance in Chemistry. 27(9). 899–900. 7 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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