Yasuo Nasu

676 total citations
39 papers, 477 citations indexed

About

Yasuo Nasu is a scholar working on Biomedical Engineering, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Yasuo Nasu has authored 39 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Biomedical Engineering, 23 papers in Control and Systems Engineering and 7 papers in Mechanical Engineering. Recurrent topics in Yasuo Nasu's work include Robotic Locomotion and Control (28 papers), Robot Manipulation and Learning (13 papers) and Prosthetics and Rehabilitation Robotics (13 papers). Yasuo Nasu is often cited by papers focused on Robotic Locomotion and Control (28 papers), Robot Manipulation and Learning (13 papers) and Prosthetics and Rehabilitation Robotics (13 papers). Yasuo Nasu collaborates with scholars based in Japan, Australia and Malaysia. Yasuo Nasu's co-authors include Genci Capi, K. Mitobe, Leonard Barolli, Mitsuhiro Yamano, Leonard Barolli, Masahiro Ohka, Hanafiah Yussof, Naoki Mori, Makoto Kudo and Branislav Borovać and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Monitoring and Assessment and Robotics and Autonomous Systems.

In The Last Decade

Yasuo Nasu

38 papers receiving 452 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yasuo Nasu Japan 11 398 248 82 55 39 39 477
Kazuhiko Yokoyama Japan 8 418 1.1× 292 1.2× 126 1.5× 67 1.2× 14 0.4× 15 529
H. Benjamín Brown United States 9 368 0.9× 305 1.2× 162 2.0× 49 0.9× 42 1.1× 15 557
Bernd Henze Germany 13 594 1.5× 390 1.6× 115 1.4× 63 1.1× 20 0.5× 28 718
Davor Juričić United States 6 757 1.9× 409 1.6× 89 1.1× 93 1.7× 67 1.7× 10 851
Eric Whitman United States 9 296 0.7× 174 0.7× 48 0.6× 64 1.2× 11 0.3× 11 379
Young-Dae Hong South Korea 14 342 0.9× 169 0.7× 67 0.8× 109 2.0× 27 0.7× 40 487
X Xinjilefu United States 10 500 1.3× 254 1.0× 74 0.9× 108 2.0× 22 0.6× 13 605
Pranav A. Bhounsule United States 11 321 0.8× 133 0.5× 63 0.8× 66 1.2× 35 0.9× 57 423
Rafael Cisneros Japan 11 316 0.8× 214 0.9× 74 0.9× 58 1.1× 8 0.2× 46 433
Garth Zeglin United States 12 449 1.1× 231 0.9× 78 1.0× 60 1.1× 39 1.0× 14 579

Countries citing papers authored by Yasuo Nasu

Since Specialization
Citations

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

Fields of papers citing papers by Yasuo Nasu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasuo Nasu

This figure shows the co-authorship network connecting the top 25 collaborators of Yasuo Nasu. A scholar is included among the top collaborators of Yasuo Nasu 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 Yasuo Nasu. Yasuo Nasu 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.
Yussof, Hanafiah, Masahiro Ohka, Mitsuhiro Yamano, & Yasuo Nasu. (2008). Analysis of Human-Inspired Biped Walk Characteristics in a Prototype Humanoid Robot for Improvement of Walking Speed. 7. 564–569. 1 indexed citations
2.
Yussof, Hanafiah, Masahiro Ohka, Mitsuhiro Yamano, & Yasuo Nasu. (2007). Biped locomotion strategy in humanoid robot navigation: A case of speed-up walk. 5. 1–7. 1 indexed citations
3.
Nasu, Yasuo, et al.. (2005). Development of a teleoperation system and an operation assist user interface for a humanoid robot. International Conference on Systems. 53. 1 indexed citations
4.
Yussof, Hanafiah, Mitsuhiro Yamano, Yasuo Nasu, & Masahiro Ohka. (2005). Trajectory generation in groping locomotion of a 21-DOF humanoid robot. International Journal of Simulation Systems Science & Technology. 7(8). 55–63. 7 indexed citations
5.
Yussof, Hanafiah, et al.. (2005). Obstacle Avoidance in Groping Locomotion of a Humanoid Robot. International Journal of Advanced Robotic Systems. 2(3). 9 indexed citations
6.
Yamano, Mitsuhiro, et al.. (2005). Control of the Walking Robots based on the ZMP Defined on the Ceiling. Journal of the Robotics Society of Japan. 23(3). 370–375. 3 indexed citations
7.
ENDO, Mitsuru, et al.. (2004). Groping Locomotion of a Humanoid Robot in Environments with Obstacles. 3 indexed citations
8.
Nasu, Yasuo, et al.. (2004). Development of ''Bonten-Maru''humanoid robot. Environmental Monitoring and Assessment. 28(1). 1–11. 2 indexed citations
9.
Mitobe, K., Genci Capi, Hitoshi Takayama, Mitsuhiro Yamano, & Yasuo Nasu. (2003). A ZMP analysis of the passive walking machines. Society of Instrument and Control Engineers of Japan. 1. 112–116. 1 indexed citations
10.
Capi, Genci, Yasuo Nasu, Leonard Barolli, & K. Mitobe. (2003). Real time gait generation for autonomous humanoid robots: A case study for walking. Robotics and Autonomous Systems. 42(2). 107–116. 45 indexed citations
11.
Mitobe, K., et al.. (2002). Nonlinear feedback control of a biped walking robot. 3. 2865–2870. 16 indexed citations
12.
Capi, Genci, et al.. (2002). Optimal trajectory generation for a prismatic joint biped robot using genetic algorithms. Robotics and Autonomous Systems. 38(2). 119–128. 52 indexed citations
13.
Shibata, Tatsuo, et al.. (2002). A ZMP Manipulation Method for Walking Robots and its Application to Angular Momentum Control.. Journal of the Robotics Society of Japan. 20(5). 515–520. 3 indexed citations
14.
Nasu, Yasuo, et al.. (2001). Development of Position Measurement System in Wide-area Using Ultrasonic Receiver Net.. Journal of the Japan Society for Precision Engineering. 67(5). 764–769. 2 indexed citations
15.
Mitobe, K., Genci Capi, & Yasuo Nasu. (2000). Control of walking robots based on manipulation of the zero moment point. Robotica. 18(6). 651–657. 84 indexed citations
16.
Kudo, Makoto, et al.. (2000). Multi-arm robot control system for manipulation of flexible materials in sewing operation. Mechatronics. 10(3). 371–402. 26 indexed citations
17.
Nasu, Yasuo, et al.. (2000). Control of Walking Robots by Manipulating the Zero Moment Point.. Journal of the Robotics Society of Japan. 18(3). 359–365. 12 indexed citations
18.
Mori, Naoki, et al.. (1996). Nonlinear Feedback Control of a Biped Walking Robot.. Journal of the Robotics Society of Japan. 14(8). 1194–1199. 3 indexed citations
19.
Takeda, Takahiro & Yasuo Nasu. (1991). Evaluation of yield function including effects of third stress invariant and initial anisotropy. The Journal of Strain Analysis for Engineering Design. 26(1). 47–53. 6 indexed citations
20.
Kikuchi, Shinichi, et al.. (1984). Fatigue Crack Propagation Characteristics and Microscopic Fracture Mechanisms in a Mild Steel Plate with a Small Circular Hole (in the Case of Ex-plane Bending Fatigue). Journal of the Japan Institute of Metals and Materials. 48(3). 255–261. 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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