Mitsuru Toyoda

720 total citations
41 papers, 559 citations indexed

About

Mitsuru Toyoda is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Mitsuru Toyoda has authored 41 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 14 papers in Control and Systems Engineering and 12 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Mitsuru Toyoda's work include Vacuum and Plasma Arcs (11 papers), Electrical Fault Detection and Protection (10 papers) and Control Systems and Identification (6 papers). Mitsuru Toyoda is often cited by papers focused on Vacuum and Plasma Arcs (11 papers), Electrical Fault Detection and Protection (10 papers) and Control Systems and Identification (6 papers). Mitsuru Toyoda collaborates with scholars based in Japan, China and Canada. Mitsuru Toyoda's co-authors include Yuhu Wu, Yuqian Guo, Jiaxin Chen, Xiaolin Tang, Xiao Hu, Teng Liu, Kai Yang, Hiroshi Murase, H. Mizoguchi and Tielong Shen and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, Information Sciences and IEEE Transactions on Cybernetics.

In The Last Decade

Mitsuru Toyoda

34 papers receiving 545 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mitsuru Toyoda Japan 13 166 112 79 77 65 41 559
Nian Wang China 13 70 0.4× 54 0.5× 33 0.4× 28 0.4× 11 0.2× 40 487
Mohd Mawardi Saari Malaysia 14 321 1.9× 98 0.9× 100 1.3× 44 0.6× 94 1.4× 77 868
Jungang Wang China 19 56 0.3× 24 0.2× 125 1.6× 6 0.1× 76 1.2× 67 1.2k
Zheng Lyu China 12 92 0.6× 43 0.4× 35 0.4× 9 0.1× 11 0.2× 41 499
Renjun Xu China 12 37 0.2× 9 0.1× 20 0.3× 97 1.3× 9 0.1× 23 614
Christian Herzog Germany 14 136 0.8× 20 0.2× 344 4.4× 53 0.7× 41 0.6× 49 698
Shu Yang China 12 36 0.2× 22 0.2× 54 0.7× 5 0.1× 24 0.4× 44 340
Marco Veneroni Italy 12 333 2.0× 25 0.2× 42 0.5× 337 4.4× 90 1.4× 24 667

Countries citing papers authored by Mitsuru Toyoda

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuru Toyoda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsuru Toyoda

This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuru Toyoda. A scholar is included among the top collaborators of Mitsuru Toyoda 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 Mitsuru Toyoda. Mitsuru Toyoda 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.
Toyoda, Mitsuru, et al.. (2025). Application and Performance Evaluation of Backstepping Control for Drone 3D Trajectory Control. Electrical Engineering in Japan. 218(1).
2.
Toyoda, Mitsuru, et al.. (2024). On a minimization problem of the maximum generalized eigenvalue: properties and algorithms. Computational Optimization and Applications. 90(1). 303–336.
3.
Masuda, Shiro, et al.. (2023). Design of Pre-Filter Based on Kernel Regularization Method in VRFT. IEEJ Transactions on Electronics Information and Systems. 143(3). 297–304.
4.
Jovcic, Dragan, et al.. (2023). Defining Short-Time Withstand Current for DC Switchgear in HVDC Systems. IEEE Transactions on Power Delivery. 39(1). 111–121.
5.
Tang, Xiaolin, Jiaxin Chen, Kai Yang, et al.. (2022). Visual Detection and Deep Reinforcement Learning-Based Car Following and Energy Management for Hybrid Electric Vehicles. IEEE Transactions on Transportation Electrification. 8(2). 2501–2515. 77 indexed citations
6.
Ishida, Fujimaro, Atsushi Yamamoto, Shigetoshi Shimizu, et al.. (2020). Machine Learning Classification of Cerebral Aneurysm Rupture Status with Morphologic Variables and Hemodynamic Parameters. Radiology Artificial Intelligence. 2(1). e190077–e190077. 46 indexed citations
7.
Wu, Yuhu, Yuqian Guo, & Mitsuru Toyoda. (2020). Policy Iteration Approach to the Infinite Horizon Average Optimal Control of Probabilistic Boolean Networks. IEEE Transactions on Neural Networks and Learning Systems. 32(7). 2910–2924. 128 indexed citations
8.
Toyoda, Mitsuru. (2019). Bayesian selection probability estimation for probabilistic Boolean networks. Asian Journal of Control. 21(6). 2513–2520. 6 indexed citations
9.
Ishida, Fujimaro, Masanori Tsuji, Katsuhiro Tanaka, et al.. (2019). Quantification of hemodynamic irregularity using oscillatory velocity index in the associations with the rupture status of cerebral aneurysms. Journal of NeuroInterventional Surgery. 11(6). 614–617. 13 indexed citations
10.
Wu, Yuhu, et al.. (2019). A congestion game framework for service chain composition in NFV with function benefit. Information Sciences. 514. 512–522. 33 indexed citations
11.
Toyoda, Mitsuru & Yuhu Wu. (2019). On Optimal Time-Varying Feedback Controllability for Probabilistic Boolean Control Networks. IEEE Transactions on Neural Networks and Learning Systems. 31(6). 2202–2208. 26 indexed citations
12.
Toyoda, Mitsuru & Tielong Shen. (2016). A receding horizon D-optimization approach for model identification–oriented input design and application in combustion engines. Applied Mathematical Modelling. 42. 175–187. 2 indexed citations
13.
Toyoda, Mitsuru, et al.. (2015). Notice of Removal A recursive parameter identification method with on-line D-optimal experiment design. 21. 1387–1390. 1 indexed citations
14.
Mori, Toshiyuki, et al.. (2004). Investigation of Two Types of Interrupting Chamber With Low Drive Energy and Development of 245-kV GCB. IEEE Transactions on Power Delivery. 19(1). 158–167. 6 indexed citations
15.
Uchii, Toshiyuki, Tetsuya Nakamoto, S. Nishiwaki, Mitsuru Toyoda, & S.A. Boggs. (2004). Optimization of Dead Tank Gas Circuit Breaker Design Based on Quantification of Hot Gas Flow and Dielectric Properties. IEEE Transactions on Power Delivery. 19(1). 181–185. 15 indexed citations
16.
17.
Toyoda, Mitsuru, et al.. (2002). Application of pressure swing adsorption to SF/sub 6/ separation and liquefaction from SF/sub 6//N/sub 2/ mixtures. 2000 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.00CH37077). 3. 2156–2161. 9 indexed citations
18.
Toyoda, Mitsuru, et al.. (2002). SF6 Reclaimer from SF6/ N2 Mixtures by Gas Separation with Molecular Sieving Effect. IEEE Power Engineering Review. 22(6). 61–61. 12 indexed citations
19.
Mizoguchi, H., et al.. (2001). Calculation of the opening characteristics on 3 phase current interruption for 3 phase common operating mechanism type GCB. IEEJ Transactions on Power and Energy. 121(10). 1402–1410. 2 indexed citations
20.
Yanabu, S., H. Mizoguchi, H. Ikeda, K. Suzuki, & Mitsuru Toyoda. (1989). Development of novel hybrid puffer interrupting chamber for SF/sub 6/ gas circuit breaker utilizing self-pressure-rise phenomena by arc. IEEE Transactions on Power Delivery. 4(1). 355–361. 30 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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