Tsuyoshi INOUE

2.1k total citations
217 papers, 1.6k citations indexed

About

Tsuyoshi INOUE is a scholar working on Control and Systems Engineering, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Tsuyoshi INOUE has authored 217 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Control and Systems Engineering, 117 papers in Mechanical Engineering and 50 papers in Civil and Structural Engineering. Recurrent topics in Tsuyoshi INOUE's work include Magnetic Bearings and Levitation Dynamics (94 papers), Tribology and Lubrication Engineering (64 papers) and Vibration and Dynamic Analysis (30 papers). Tsuyoshi INOUE is often cited by papers focused on Magnetic Bearings and Levitation Dynamics (94 papers), Tribology and Lubrication Engineering (64 papers) and Vibration and Dynamic Analysis (30 papers). Tsuyoshi INOUE collaborates with scholars based in Japan, United States and Germany. Tsuyoshi INOUE's co-authors include Yukio ISHIDA, Shunichi Hashimoto, Masaki Sumi, Kentaro Takagi, Hiroshi Yabuno, Yusuke Watanabe, Yuji Hatanaka, Susumu Okumura, Chisako Muramatsu and Hiroshi Fujita and has published in prestigious journals such as SHILAP Revista de lepidopterología, Monthly Notices of the Royal Astronomical Society and Journal of Chromatography A.

In The Last Decade

Tsuyoshi INOUE

196 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tsuyoshi INOUE Japan 21 910 720 392 299 249 217 1.6k
M. H. Korayem Iran 28 427 0.5× 1.4k 1.9× 201 0.5× 196 0.7× 85 0.3× 155 2.1k
Jonathan B. Hopkins United States 25 1.3k 1.4× 743 1.0× 523 1.3× 226 0.8× 205 0.8× 86 2.6k
Brian D. Jensen United States 24 453 0.5× 843 1.2× 298 0.8× 206 0.7× 184 0.7× 137 2.2k
Jingfu Li China 14 406 0.4× 162 0.2× 217 0.6× 98 0.3× 141 0.6× 78 949
Ashok Midha United States 23 791 0.9× 1.9k 2.7× 799 2.0× 336 1.1× 58 0.2× 99 2.5k
Hongbin Fang China 30 1.8k 1.9× 478 0.7× 956 2.4× 93 0.3× 116 0.5× 116 2.7k
Giacomo Palmieri Italy 20 331 0.4× 466 0.6× 127 0.3× 107 0.4× 41 0.2× 96 1.4k
Jing‐Shan Zhao China 22 507 0.6× 708 1.0× 273 0.7× 108 0.4× 27 0.1× 110 1.2k
Sang-Moon Hwang South Korea 21 432 0.5× 794 1.1× 93 0.2× 227 0.8× 91 0.4× 101 1.5k

Countries citing papers authored by Tsuyoshi INOUE

Since Specialization
Citations

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

Fields of papers citing papers by Tsuyoshi INOUE

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tsuyoshi INOUE

This figure shows the co-authorship network connecting the top 25 collaborators of Tsuyoshi INOUE. A scholar is included among the top collaborators of Tsuyoshi INOUE 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 Tsuyoshi INOUE. Tsuyoshi INOUE 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.
INOUE, Tsuyoshi, et al.. (2025). An Efficient Computational Framework for Geometrically Exact Beam Systems Using HB-AFT and CMS. Journal of Vibration Engineering & Technologies. 13(8).
2.
Ogata, Shigenori, et al.. (2025). Sulfide Oxidation to Sulfone Using Sodium Chlorite and Hydrochloric Acid in Organic Solvents. Molecules. 30(9). 1912–1912.
3.
Zhou, Xingyu, et al.. (2025). Simultaneous multi-order vibration suppression by centrifugal double pendulum vibration absorber with experimental validation. Journal of Sound and Vibration. 612. 119171–119171.
4.
INOUE, Tsuyoshi, et al.. (2024). Failure acceleration and condition diagnosis of ball bearings by an excitation mechanism using piezo actuators. Mechanical Systems and Signal Processing. 213. 111319–111319. 2 indexed citations
5.
INOUE, Tsuyoshi, et al.. (2024). Stability analysis of nonlinear synchronous vibration in an inclined rotor system supported by journal bearing with variational gravity. Journal of Sound and Vibration. 597. 118835–118835. 1 indexed citations
6.
INOUE, Tsuyoshi, et al.. (2023). Integral resonant control preserving the rigid body mode of torsional vibration systems*. IFAC-PapersOnLine. 56(2). 6344–6350. 1 indexed citations
7.
INOUE, Tsuyoshi, et al.. (2023). Basic Study of Multiple-Degree-of-Freedom Eddy Current Damper for Liquid Hydrogen Turbopump of Rockets. Journal of the Japan Society of Applied Electromagnetics and Mechanics. 31(2). 285–290. 1 indexed citations
8.
Yamamoto, Keita, et al.. (2023). One-step antibacterial modification of polypropylene non-woven fabrics via oxidation using photo-activated chlorine dioxide radicals. Journal of Materials Chemistry B. 11(23). 5101–5107. 8 indexed citations
10.
INOUE, Tsuyoshi, et al.. (2023). Experimental study on stability of axial direction of balance piston mechanism (Translated). SHILAP Revista de lepidopterología. 10(6). 23–361. 1 indexed citations
11.
Hara, Susumu, et al.. (2017). An Attempt on Experience-based Vibration Engineering Program: Building to Perform a Lecture Vibrated Freely. Transactions of the Society of Instrument and Control Engineers. 53(1). 99–101. 2 indexed citations
12.
Fujita, Tsuyoshi, et al.. (2017). DEVEROPMENT OF METHODOLOGY ASSESSING POSSIBILITY OF INTRODUCTION OF LOW CARBON COUNTERMEASURES CONSIDERING EFFECTS OF FUTURE SPATIAL DISTRIBUTION. Journal of Japan Society of Civil Engineers Ser G (Environmental Research). 73(6). II_343–II_352.
13.
INOUE, Tsuyoshi, Yuji Hatanaka, Susumu Okumura, et al.. (2015). Automatic Microaneurysm Detection in Retinal Fundus Images by Density Gradient Vector Concentration. 44(1). 58–66. 1 indexed citations
14.
INOUE, Tsuyoshi, et al.. (2014). Characteristics of Wear and Rolling on Fiber Reinforced Metal at High Temperature. Tetsu-to-Hagane. 100(12). 1523–1529. 4 indexed citations
15.
INOUE, Tsuyoshi, et al.. (2013). Nonlinear theoretical analysis of contacting forward whirling vibration of a rotating shaft supported by a repulsive magnetic bearing. Journal of Sound and Vibration. 332(11). 2735–2749. 9 indexed citations
16.
INOUE, Tsuyoshi, T. Sasaki, & Takashi Washio. (2012). Spatio-temporal Kriging of solar radiation incorporating direction and speed of cloud movement (人工知能学会全国大会(第26回)文化,科学技術と未来) -- (International Organized Session「Application Oriented Principles of Machine Learning and Data Mining」). 26. 1–4. 3 indexed citations
18.
Takagi, Kentaro, Tsuyoshi INOUE, Kentaro Nakashima, & Tadao TAKIGAMI. (2009). 127 On a Piezoelectric Shunt Damping with a Virtual Shunt Circuit Using an Approximate Differentiator. The Proceedings of the Dynamics & Design Conference. 2009(0). _127–1_. 1 indexed citations
19.
INOUE, Tsuyoshi. (2002). Computer Modelling to Predict Hardenability of Steels for Automobile Components. 20–24. 1 indexed citations
20.
Saiwaki, Naoki, Kunio Katō, Tsuyoshi INOUE, & Seiji Inokuchi. (1997). An Approach to Visualization of Information Flow of EEGs by Directed Coherence Analysis. Transactions of the Institute of Systems Control and Information Engineers. 10(10). 537–546. 2 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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