Soichiro Fujiki

523 total citations
31 papers, 327 citations indexed

About

Soichiro Fujiki is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Physical Therapy, Sports Therapy and Rehabilitation. According to data from OpenAlex, Soichiro Fujiki has authored 31 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Biomedical Engineering, 9 papers in Cognitive Neuroscience and 8 papers in Physical Therapy, Sports Therapy and Rehabilitation. Recurrent topics in Soichiro Fujiki's work include Robotic Locomotion and Control (16 papers), Muscle activation and electromyography studies (10 papers) and Motor Control and Adaptation (8 papers). Soichiro Fujiki is often cited by papers focused on Robotic Locomotion and Control (16 papers), Muscle activation and electromyography studies (10 papers) and Motor Control and Adaptation (8 papers). Soichiro Fujiki collaborates with scholars based in Japan, United States and Netherlands. Soichiro Fujiki's co-authors include Shinya Aoi, Kazuo Tsuchiya, Tetsuro Funato, Kei Senda, Nozomi Tomita, Tsuyoshi Yamashita, Dai Yanagihara, Yuri P. Ivanenko, Rie Sugimoto and Takahiro Tanaka and has published in prestigious journals such as PLoS ONE, Journal of Neurophysiology and Scientific Reports.

In The Last Decade

Soichiro Fujiki

28 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Soichiro Fujiki Japan 11 237 78 73 57 45 31 327
Nozomi Tomita Japan 9 158 0.7× 48 0.6× 77 1.1× 93 1.6× 32 0.7× 22 321
Tetsuro Funato Japan 14 423 1.8× 95 1.2× 163 2.2× 159 2.8× 68 1.5× 57 615
Jun Nishii Japan 9 209 0.9× 43 0.6× 118 1.6× 45 0.8× 17 0.4× 22 299
Alexandra S. Voloshina United States 10 384 1.6× 30 0.4× 51 0.7× 126 2.2× 18 0.4× 13 580
Christophe Maufroy Germany 10 346 1.5× 77 1.0× 14 0.2× 17 0.3× 28 0.6× 29 369
Jürgen Rummel Germany 7 451 1.9× 101 1.3× 19 0.3× 66 1.2× 15 0.3× 7 481
Daniel Renjewski Germany 10 482 2.0× 84 1.1× 20 0.3× 51 0.9× 21 0.5× 23 550
Florin Dzeladini Switzerland 8 333 1.4× 11 0.1× 58 0.8× 58 1.0× 6 0.1× 12 426
Darren J. Dutto United States 9 235 1.0× 13 0.2× 19 0.3× 15 0.3× 21 0.5× 13 562
Chris J. Dallmann Germany 9 139 0.6× 57 0.7× 58 0.8× 8 0.1× 53 1.2× 18 290

Countries citing papers authored by Soichiro Fujiki

Since Specialization
Citations

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

Fields of papers citing papers by Soichiro Fujiki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soichiro Fujiki

This figure shows the co-authorship network connecting the top 25 collaborators of Soichiro Fujiki. A scholar is included among the top collaborators of Soichiro Fujiki 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 Soichiro Fujiki. Soichiro Fujiki 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.
Aoi, Shinya, et al.. (2022). Advanced Turning Maneuver of a Many-Legged Robot Using Pitchfork Bifurcation. IEEE Transactions on Robotics. 38(5). 3015–3026. 3 indexed citations
2.
3.
Aoi, Shinya, Soichiro Fujiki, Simon M. Danner, et al.. (2022). Contribution of Afferent Feedback to Adaptive Hindlimb Walking in Cats: A Neuromusculoskeletal Modeling Study. Frontiers in Bioengineering and Biotechnology. 10. 825149–825149. 2 indexed citations
4.
Aoi, Shinya, Takashi Amano, Soichiro Fujiki, Kei Senda, & Kazuo Tsuchiya. (2021). Fast and Slow Adaptations of Interlimb Coordination via Reflex and Learning During Split-Belt Treadmill Walking of a Quadruped Robot. Frontiers in Robotics and AI. 8. 697612–697612. 1 indexed citations
5.
Funato, Tetsuro, Y. Sato, Soichiro Fujiki, et al.. (2021). Quantitative evaluation of posture control in rats with inferior olive lesions. Scientific Reports. 11(1). 20362–20362. 1 indexed citations
6.
Fujiki, Soichiro, et al.. (2020). Dynamic localization of αB-crystallin at the microtubule cytoskeleton network in beating heart cells. The Journal of Biochemistry. 168(2). 125–137. 5 indexed citations
7.
8.
Ito, Hiroyuki, et al.. (2020). Self-reorganization of neuronal activation patterns in the cortex under brain-machine interface and neural operant conditioning. Neuroscience Research. 156. 279–292. 6 indexed citations
9.
Aoi, Shinya, et al.. (2020). Gait Generation and Its Energy Efficiency Based on Rat Neuromusculoskeletal Model. Frontiers in Neuroscience. 13. 1337–1337. 10 indexed citations
10.
Aoi, Shinya, Soichiro Fujiki, Tetsuro Funato, et al.. (2019). Neuromusculoskeletal model that walks and runs across a speed range with a few motor control parameter changes based on the muscle synergy hypothesis. Scientific Reports. 9(1). 369–369. 58 indexed citations
11.
Fujiki, Soichiro, Shinya Aoi, Kazuo Tsuchiya, et al.. (2019). Phase-Dependent Response to Afferent Stimulation During Fictive Locomotion: A Computational Modeling Study. Frontiers in Neuroscience. 13. 1288–1288. 5 indexed citations
12.
Fujiki, Soichiro, et al.. (2018). Adaptive hindlimb split-belt treadmill walking in rats by controlling basic muscle activation patterns via phase resetting. Scientific Reports. 8(1). 17341–17341. 16 indexed citations
13.
Funato, Tetsuro, et al.. (2018). Construction of Experimental Environment for Muscle Synergy Analysis of Bipedal Walking in Rats. 56. 1–3. 1 indexed citations
14.
Asaka, Meiko, Soichiro Fujiki, Yoko Hosaka, et al.. (2018). Alteration of gait parameters in a mouse model of surgically induced knee osteoarthritis. Journal of orthopaedic surgery. 26(2). 614428305–614428305. 7 indexed citations
15.
Funato, Tetsuro, Soichiro Fujiki, Y. Sato, et al.. (2017). Postural control during quiet bipedal standing in rats. PLoS ONE. 12(12). e0189248–e0189248. 12 indexed citations
16.
Fujiki, Soichiro, Shinya Aoi, Tetsuro Funato, et al.. (2013). Hysteresis in the metachronal-tripod gait transition of insects: A modeling study. Physical Review E. 88(1). 12717–12717. 15 indexed citations
17.
Aoi, Shinya, Soichiro Fujiki, Nozomi Tomita, et al.. (2013). A stability-based mechanism for hysteresis in the walk–trot transition in quadruped locomotion. Journal of The Royal Society Interface. 10(81). 20120908–20120908. 51 indexed citations
18.
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Aoi, Shinya, et al.. (2012). Functional Roles of Phase Resetting in the Gait Transition of a Biped Robot From Quadrupedal to Bipedal Locomotion. IEEE Transactions on Robotics. 28(6). 1244–1259. 29 indexed citations
20.
Aoi, Shinya, Soichiro Fujiki, Tsuyoshi Yamashita, et al.. (2011). Generation of adaptive splitbelt treadmill walking by a biped robot using nonlinear oscillators with phase resetting. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 1 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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