Koji Ito

3.6k total citations
177 papers, 2.8k citations indexed

About

Koji Ito is a scholar working on Biomedical Engineering, Control and Systems Engineering and Cognitive Neuroscience. According to data from OpenAlex, Koji Ito has authored 177 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Biomedical Engineering, 46 papers in Control and Systems Engineering and 44 papers in Cognitive Neuroscience. Recurrent topics in Koji Ito's work include Muscle activation and electromyography studies (40 papers), Robot Manipulation and Learning (33 papers) and Motor Control and Adaptation (23 papers). Koji Ito is often cited by papers focused on Muscle activation and electromyography studies (40 papers), Robot Manipulation and Learning (33 papers) and Motor Control and Adaptation (23 papers). Koji Ito collaborates with scholars based in Japan, United States and United Kingdom. Koji Ito's co-authors include Yoshitaka Hirooka, Toshio Tsuji, Takuya Kishi, Hiroaki Shimokawa, Akira Takeshita, Yoshikuni Kimura, Kenji Sunagawa, Kazuhiro Goto, Pietro Morasso and Yoji Sagara and has published in prestigious journals such as Circulation, The Journal of Immunology and Circulation Research.

In The Last Decade

Koji Ito

162 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Koji Ito Japan 26 810 666 643 512 477 177 2.8k
Steve Pincus United States 20 1.0k 1.3× 476 0.7× 757 1.2× 252 0.5× 349 0.7× 30 3.5k
Zoltán Benyó Hungary 35 524 0.6× 427 0.6× 143 0.2× 886 1.7× 1.2k 2.5× 225 4.8k
Men‐Tzung Lo Taiwan 30 967 1.2× 273 0.4× 779 1.2× 219 0.4× 86 0.2× 139 2.8k
G. Edwards United Kingdom 30 1.1k 1.4× 336 0.5× 202 0.3× 1.7k 3.3× 1.5k 3.1× 75 7.6k
O. Dériaz Switzerland 29 254 0.3× 665 1.0× 398 0.6× 1.2k 2.4× 914 1.9× 81 3.7k
Dong‐Soo Kim South Korea 32 220 0.3× 465 0.7× 271 0.4× 175 0.3× 388 0.8× 263 3.5k
Richard K. Shields United States 35 225 0.3× 1.2k 1.8× 274 0.4× 439 0.9× 498 1.0× 157 4.3k
Yutaka Tomita Japan 32 172 0.2× 523 0.8× 620 1.0× 168 0.3× 1.5k 3.2× 243 4.1k
Guoqiang Yu United States 44 391 0.5× 3.2k 4.8× 271 0.4× 1.1k 2.2× 1.0k 2.1× 219 7.2k
Johannes J. Struijk Denmark 38 1.9k 2.4× 1.0k 1.5× 824 1.3× 246 0.5× 354 0.7× 218 4.6k

Countries citing papers authored by Koji Ito

Since Specialization
Citations

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

Fields of papers citing papers by Koji Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koji Ito

This figure shows the co-authorship network connecting the top 25 collaborators of Koji Ito. A scholar is included among the top collaborators of Koji Ito 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 Koji Ito. Koji Ito 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.
Kobayashi, Takaomi, Megumi Hara, Chisato Shimanoe, et al.. (2024). Efficacy and safety of romosozumab: a meta-analysis of placebo-controlled trials. Journal of Bone and Mineral Metabolism. 42(5). 492–502. 7 indexed citations
2.
Mizuno, Shinya, et al.. (2022). Machine learning-based turbulence-risk prediction method for the safe operation of aircrafts. Journal Of Big Data. 9(1). 17 indexed citations
3.
Ito, Koji, et al.. (2016). Business Transformation Using Artificial Intelligence at NTT Communications. NTT technical review. 14(5). 26–30. 1 indexed citations
4.
Ito, Koji, et al.. (2008). 2P2-G12 Action Generation Model Based on Change in State Pattern and Its Sequential Learning. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2008(0). _2P2–G12_1.
5.
Shibata, Katsunari & Koji Ito. (2007). Adaptive Space Reconstruction on Hidden Layer and Knowledge Transfer Based on Hidden-level Generalization in Layered Neural Networks. Transactions of the Society of Instrument and Control Engineers. 43(1). 54–63. 1 indexed citations
6.
Kishi, Takuya, Yoshitaka Hirooka, Yoshikuni Kimura, et al.. (2004). Increased Reactive Oxygen Species in Rostral Ventrolateral Medulla Contribute to Neural Mechanisms of Hypertension in Stroke-Prone Spontaneously Hypertensive Rats. Circulation. 109(19). 2357–2362. 271 indexed citations
7.
Shibata, Katsunari, Masanori Sugisaka, & Koji Ito. (2000). Hand Reaching Movement Acquired through Reinforcement Learning. Tokyo Tech Research Repository (Tokyo Institute of Technology). 2. 344–347. 7 indexed citations
8.
9.
Yamakita, Masaki, et al.. (1999). Tele-Bilateral Impedance Control for Master-Slave Systems. Transactions of the Society of Instrument and Control Engineers. 35(3). 370–377. 1 indexed citations
10.
Luo, Zhiwei, et al.. (1997). Gain Scheduled Control of Manipulators for Contact Tasks on Uncertain Flexible Objects. Transactions of the Institute of Systems Control and Information Engineers. 10(5). 236–247. 2 indexed citations
11.
Ito, Satoshi, et al.. (1996). Oscillator-Mechanical Model of the Pattern Transition on Quadrupedal Locomotion Based on Energy Expenditure. Transactions of the Society of Instrument and Control Engineers. 32(11). 1535–1543. 7 indexed citations
12.
Luo, Zhiwen, et al.. (1995). ROBOT MANIPULATOR'S CONTACT TASKS ON UNCERTAIN FLEXIBLE OBJECTS. 제어로봇시스템학회 국내학술대회 논문집. 1(1). 460–463. 2 indexed citations
13.
Luo, Zhiwei, et al.. (1995). Compliance Control Considering a Robot's Manipulability. Transactions of the Society of Instrument and Control Engineers. 31(9). 1534–1536. 7 indexed citations
14.
Tsuji, Toshio, et al.. (1992). Hand Force Formation during Constrained Arm Movements and Virtual Trajectory Hypothesis. Transactions of the Society of Instrument and Control Engineers. 28(3). 366–373. 2 indexed citations
15.
Tsuji, Toshio, et al.. (1992). Distributed Feedback Control for Redundant Manipulators Based on Virtual Arms. Transactions of the Society of Instrument and Control Engineers. 28(11). 1314–1320. 1 indexed citations
16.
Ito, Koji, et al.. (1991). An EMG Controlled Prosthetic Forearm with Three Degrees of Freedom Using Ultrasonic Motors. Transactions of the Society of Instrument and Control Engineers. 27(11). 1281–1289. 8 indexed citations
17.
Nagamachi, Mitsuo, et al.. (1989). A Study on the ERES/WCS as a Part of the Advanced Teleoperator System. Transactions of the Society of Instrument and Control Engineers. 25(9). 1004–1011. 1 indexed citations
18.
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
19.
Ito, Koji, Akira Takeuchi, & Masami Itō. (1978). Self-Paced Preview Tracking Behaviors in Manual Control Systems. Transactions of the Society of Instrument and Control Engineers. 14(2). 149–154. 2 indexed citations
20.
Ito, Koji, et al.. (1976). Observation of the diffuse infrared radiation from our Galaxy at 2.4 µm.. Publications of the Astronomical Society of Japan. 28(3). 427–436. 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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