Tomohiro Hayashida

1.2k total citations
130 papers, 832 citations indexed

About

Tomohiro Hayashida is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Tomohiro Hayashida has authored 130 papers receiving a total of 832 indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Electrical and Electronic Engineering, 30 papers in Artificial Intelligence and 15 papers in Computational Theory and Mathematics. Recurrent topics in Tomohiro Hayashida's work include Advancements in Semiconductor Devices and Circuit Design (24 papers), Semiconductor materials and devices (24 papers) and Optimal Power Flow Distribution (19 papers). Tomohiro Hayashida is often cited by papers focused on Advancements in Semiconductor Devices and Circuit Design (24 papers), Semiconductor materials and devices (24 papers) and Optimal Power Flow Distribution (19 papers). Tomohiro Hayashida collaborates with scholars based in Japan, Australia and Germany. Tomohiro Hayashida's co-authors include Ichiro Nishizaki, Yoshio Sakai, T. Masuhara, O. Minato, Kenta Ueki, Tsubasa Kobayashi, Masashi Aoki, Hideki Katagiri, Takeshi Sasaki and Katsuyoshi Washio and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and European Journal of Operational Research.

In The Last Decade

Tomohiro Hayashida

110 papers receiving 799 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomohiro Hayashida Japan 16 543 87 78 73 73 130 832
Stamatios V. Kartalopoulos United States 15 589 1.1× 49 0.6× 103 1.3× 63 0.9× 209 2.9× 104 1.1k
Dinesh Patil United States 16 777 1.4× 95 1.1× 73 0.9× 41 0.6× 84 1.2× 42 1.1k
Masoud Kaveh Finland 16 307 0.6× 34 0.4× 44 0.6× 119 1.6× 219 3.0× 44 699
Yanjing Li United States 23 743 1.4× 56 0.6× 174 2.2× 62 0.8× 139 1.9× 78 1.4k
Bhavya Kailkhura United States 19 243 0.4× 80 0.9× 116 1.5× 132 1.8× 587 8.0× 73 1.3k
Ertan Onur Türkiye 15 811 1.5× 68 0.8× 51 0.7× 24 0.3× 65 0.9× 64 1.2k
A. Malinowski United States 9 139 0.3× 43 0.5× 66 0.8× 169 2.3× 217 3.0× 43 626
Jie Ren China 15 174 0.3× 41 0.5× 126 1.6× 50 0.7× 94 1.3× 88 722
Adrijan Barić Croatia 12 761 1.4× 134 1.5× 89 1.1× 51 0.7× 165 2.3× 129 881

Countries citing papers authored by Tomohiro Hayashida

Since Specialization
Citations

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

Fields of papers citing papers by Tomohiro Hayashida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomohiro Hayashida

This figure shows the co-authorship network connecting the top 25 collaborators of Tomohiro Hayashida. A scholar is included among the top collaborators of Tomohiro Hayashida 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 Tomohiro Hayashida. Tomohiro Hayashida 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.
Hayashida, Tomohiro, et al.. (2025). ELPSO-C: A Clustering-Based Strategy for Dimension-Wise Diversity Control in Enhanced Leader Particle Swarm Optimization. SHILAP Revista de lepidopterología. 5(4). 159–159.
2.
3.
Hayashida, Tomohiro, Yosuke Kuroko, Shuji Shimizu, et al.. (2024). Effects of dapagliflozin on myoglobin efflux from cardiomyocyte during myocardial ischemia/reperfusion in anesthetized rats. Scientific Reports. 14(1). 16337–16337. 1 indexed citations
4.
Kato, Teruyuki, et al.. (2023). Optimizing service restoration in distribution systems based on scheduling of crews considering priorities of loads. Electrical Engineering in Japan. 216(3). 1 indexed citations
5.
Hayashida, Tomohiro, et al.. (2021). Construction of a Learner Growth Model and Learner Classification Method Using exMCRNNs. IEEJ Transactions on Electronics Information and Systems. 141(3). 273–280. 1 indexed citations
6.
Nishizaki, Ichiro, et al.. (2021). Data envelopment analysis approaches for two-level production and distribution planning problems. European Journal of Operational Research. 300(1). 255–268. 4 indexed citations
7.
Hayashida, Tomohiro, et al.. (2019). Development of a classifier system for a continuous environment. Electronics and Communications in Japan. 102(10). 17–25. 1 indexed citations
8.
Hayashida, Tomohiro, et al.. (2018). Structural Optimization of Deep Belief Network by Evolutionary Computation Methods including Tabu Search. Transactions on Machine Learning and Artificial Intelligence. 6(1). 69. 7 indexed citations
9.
Hayashida, Tomohiro, et al.. (2018). Feature extraction and classification of learners using neural networks. 134. 1–4. 3 indexed citations
10.
Hayashida, Tomohiro, et al.. (2017). Cooperative Particle Swarm Optimization in Distance-Based Clustered Groups. Journal of Software Engineering and Applications. 10(2). 143–158. 3 indexed citations
11.
Nishizaki, Ichiro, et al.. (2014). Multiattribute decision analysis using strict preference relations. Annals of Operations Research. 245(1-2). 379–400. 3 indexed citations
12.
Hayashida, Tomohiro, et al.. (2014). XCS with an internal action table for non-Markov environments. International Journal of Advanced Computer Science and Applications. 5(6). 2 indexed citations
13.
Nishizaki, Ichiro, et al.. (2014). Group Multiattribute Utility Analysis Using Neural Networks. Transactions of the Institute of Systems Control and Information Engineers. 27(11). 434–442.
14.
Hayashida, Tomohiro, et al.. (2014). Agent-based simulation for simultaneous ultimatum games. 5. 507–512.
15.
Hayashida, Tomohiro, et al.. (2010). Simulation based design for back-side illuminated ultrahigh-speed CCDs. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7598. 75980X–75980X. 1 indexed citations
16.
Hayashida, Tomohiro, et al.. (2010). Decentralized Two-Level 0-1 Programming through Distributed Genetic Algorithms. 2 indexed citations
17.
Kitamura, Keiichi, Tomohiro Hayashida, Taiichiro Kurita, et al.. (2008). An ultrahigh-speed color video camera operating at 1,000,000 fps with 288 frame memories. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7126. 712608–712608. 4 indexed citations
19.
Matsuse, Kouki, et al.. (1994). Effect of crosspath resistance between adjacent rotor bars on performance of inverter-fed high-speed induction motor. IEEE Transactions on Industry Applications. 30(3). 621–627. 10 indexed citations
20.
Aoki, Masashi, et al.. (1983). Operation of Bulk CMOS Devices at Very Low Temperatures. Symposium on VLSI Technology. 46–47. 21 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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