Toshio Tsuji

8.1k total citations
519 papers, 5.8k citations indexed

About

Toshio Tsuji is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Control and Systems Engineering. According to data from OpenAlex, Toshio Tsuji has authored 519 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 252 papers in Biomedical Engineering, 172 papers in Cognitive Neuroscience and 145 papers in Control and Systems Engineering. Recurrent topics in Toshio Tsuji's work include Muscle activation and electromyography studies (157 papers), Robot Manipulation and Learning (104 papers) and EEG and Brain-Computer Interfaces (88 papers). Toshio Tsuji is often cited by papers focused on Muscle activation and electromyography studies (157 papers), Robot Manipulation and Learning (104 papers) and EEG and Brain-Computer Interfaces (88 papers). Toshio Tsuji collaborates with scholars based in Japan, United States and Italy. Toshio Tsuji's co-authors include Makoto Kaneko, Osamu Fukuda, Yoshiyuki Tanaka, Koji Ito, Pietro Morasso, Akira Otsuka, Kazuhiro Goto, Nan Bu, T Miwatani and Takuya Honda and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Toshio Tsuji

477 papers receiving 5.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Toshio Tsuji Japan 37 2.9k 2.2k 1.2k 566 559 519 5.8k
Ryoji Suzuki Japan 31 1.4k 0.5× 2.5k 1.1× 1.4k 1.1× 332 0.6× 227 0.4× 181 5.7k
José L. Pons Spain 47 4.8k 1.7× 1.7k 0.8× 579 0.5× 1.5k 2.6× 326 0.6× 314 8.1k
Giulio Rosati Italy 44 1.3k 0.4× 638 0.3× 975 0.8× 260 0.5× 318 0.6× 239 7.4k
Aiguo Song China 37 1.9k 0.7× 1.7k 0.7× 1.2k 1.0× 417 0.7× 961 1.7× 549 6.2k
Stephen N. Elliott United Kingdom 58 4.9k 1.7× 1.7k 0.8× 1.5k 1.2× 118 0.2× 888 1.6× 468 12.4k
Michael A. Riley United States 44 829 0.3× 2.5k 1.1× 231 0.2× 40 0.1× 155 0.3× 210 6.3k
Wei Xu China 44 2.2k 0.8× 615 0.3× 1.7k 1.4× 230 0.4× 1.2k 2.1× 622 7.0k
Dirk Lefeber Belgium 50 7.8k 2.7× 568 0.3× 2.3k 1.9× 62 0.1× 1.4k 2.5× 321 10.0k
Martin Buss Germany 46 2.3k 0.8× 2.5k 1.1× 4.0k 3.3× 217 0.4× 2.6k 4.6× 491 10.3k
Matteo Bianchi Italy 38 1.7k 0.6× 1.7k 0.8× 789 0.6× 224 0.4× 1.0k 1.8× 188 4.1k

Countries citing papers authored by Toshio Tsuji

Since Specialization
Citations

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

Fields of papers citing papers by Toshio Tsuji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshio Tsuji

This figure shows the co-authorship network connecting the top 25 collaborators of Toshio Tsuji. A scholar is included among the top collaborators of Toshio Tsuji 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 Toshio Tsuji. Toshio Tsuji 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
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Soh, Zu, et al.. (2024). Neuroimaging-based evidence for sympathetic correlation between brain activity and peripheral vasomotion during pain anticipation. Scientific Reports. 14(1). 3383–3383. 3 indexed citations
3.
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Guillén-Solà, Anna, et al.. (2023). Sound‐based cough peak flow estimation in patients with neuromuscular disorders. Muscle & Nerve. 69(2). 213–217. 5 indexed citations
5.
Bertamino, Marta, Marco Fato, Psiche Giannoni, et al.. (2020). Spontaneous movements in the newborns: a tool of quantitative video analysis of preterm babies. Computer Methods and Programs in Biomedicine. 199. 105838–105838. 12 indexed citations
6.
Tsuji, Toshio, et al.. (2018). Teleoperated Excavator System with Seat Vibration Feedback. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2018(0). 2A2–B03. 1 indexed citations
7.
Soh, Zu, et al.. (2018). Real-Time Cameraless Measurement System Based on Bioelectrical Ventilatory Signals to Evaluate Fear and Anxiety. Zebrafish. 15(2). 133–144. 9 indexed citations
8.
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Hattori, Minoru, Hiroyuki Egi, Hideki Ohdan, et al.. (2014). Surgical Grasping Forceps with the Sensorimotor Enhancement Capability by Stochastic Resonance. Journal of the Robotics Society of Japan. 32(6). 566–573.
10.
Hirano, H., Yuichi Kurita, Akihiko Kandori, et al.. (2012). 1P1-N03 Development of a Carotid Pulse Pressure Sensor Using Electromagnetic Induction(Medical Robotics and Mechatronics (1)). The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2012(0). _1P1–N03_1.
11.
Sakamoto, Naoki, Mitsuru Higashimori, Toshio Tsuji, & Makoto Kaneko. (2007). 2A1-F06 Proposal of Piercing Type Handling by using Inverse Tightening Effect. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2007(0). _2A1–F06_1. 1 indexed citations
12.
Yamada, Daisuke, et al.. (2006). Equivalent Inertia of Human-Machine Systems under Constraint Environments. Transactions of the Society of Instrument and Control Engineers. 42(2). 156–163. 4 indexed citations
13.
Tanaka, Yoshiyuki, Toshio Tsuji, Vittorio Sanguineti, & Pietro Morasso. (2005). Bio-mimetic trajectory generation using a neural time-base generator. CINECA IRIS Institutial Research Information System (University of Genoa). 8 indexed citations
14.
Hirano, Akira, Toshio Tsuji, Noboru Takiguchi, & Hisao Ohtake. (2005). Modeling of the Membrane Potential Change of Paramecium for Mechanical Stimuli. Transactions of the Society of Instrument and Control Engineers. 41(4). 351–357. 4 indexed citations
15.
Hirano, Akira, Michiyo Suzuki, Toshio Tsuji, Noboru Takiguchi, & Hiroshi Ohtake. (2004). Mobile Robot Control Based on Chemotaxis of Paramecia. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2004(0). 36–37. 3 indexed citations
16.
Tanaka, Yoshiyuki, et al.. (2003). Impedance Simulator : Analysis of Human Hand Impedance Characteristics. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2003(0). 29–29. 4 indexed citations
17.
Fukuda, Osamu, et al.. (2002). Development of the. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2002(0). 19–19. 1 indexed citations
18.
Tsuji, Toshio, et al.. (2001). Differences in Bone Mineral Density between the Dominant and Non-dominant hand sides of extremities in high school sports players. 9(1). 51–56. 1 indexed citations
19.
Kaneko, Makoto, et al.. (1995). Study on Multiple Contact Points Estimation for Finger-shaped Tactile Sensor Using PSD.. Journal of the Robotics Society of Japan. 13(2). 270–276. 1 indexed citations
20.
Ito, Koji & Toshio Tsuji. (1985). The Bilinear Characteristics of Muscle-Skeletomotor System and the Application to Prosthesis Control. IEEJ Transactions on Electronics Information and Systems. 105(10). 201–208. 13 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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