Yasuharu Koike
- Cognitive Neuroscience top 1%
- EEG and Brain-Computer Interfaces 71
- Motor Control and Adaptation 49
- Neural dynamics and brain function 27
- Tactile and Sensory Interactions 27
- Human-Computer Interaction top 0.5%
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- Neuroscience and Neural Engineering 20
- Biomedical Engineering top 2%
- Muscle activation and electromyography studies 69
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- Teleoperation and Haptic Systems 21
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- Robot Manipulation and Learning 19
Yasuharu Koike
185 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 133
- Cognitive Neuroscience 2.1k
- Human-Computer Interaction 420
- Cellular and Molecular Neuroscience 557
- Physical Therapy, Sports Therapy and Rehabilitation 126
- Biomedical Engineering 1.1k
Countries citing papers authored by Yasuharu Koike
This map shows the geographic impact of Yasuharu Koike'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 Yasuharu Koike with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasuharu Koike more than expected).
Fields of papers citing papers by Yasuharu Koike
This network shows the impact of papers produced by Yasuharu Koike. 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 Yasuharu Koike. The network helps show where Yasuharu Koike may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yasuharu Koike, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2021 | 1 | |
| 3 | 2021 | 3 | |
| 4 | 2020 | 25 | |
| 5 | 2020 | 7 | |
| 6 | 2020 | 2 | |
| 7 | 2018 | 12 | |
| 8 | A study of a SSVEP-based BCI using high frequency flicker stimulus | 2012 | 1 |
| 9 | Multi-DOF motion controller by EMG based human-machine interface using operator's joint torque and stiffness | 2007 | 1 |
| 10 | Learning and control model of arm posture. | 2006 | 1 |
| 11 | The High Definition Haptic Rendering by the Update Frequency of 10kHz | 2004 | 2 |
| 12 | 2003 | 1 | |
| 13 | Human arm posture control using the impedance controllability of the musculo-skeletal system against the alteration of the environments | 2002 | 4 |
| 14 | Tension Based 7 DOFs Force Feedback Device | 2002 | 5 |
| 15 | Two-Handed Multi-Fingers String-Based Haptic Interface Device | 2001 | 25 |
| 16 | A DRIVER MODEL BASED ON REINFORCEMENT LEARNING WITH MULTIPLE-STEP STATE ESTIMATION | 2001 | 1 |
| 17 | Two-Handed Multi-Fingers Virtual Object Manipulation Environment with Haptic Cues | 2001 | 1 |
| 18 | Estimation of Arm Posture in 3D-Space from Surface EMG Signals Using a Neural Network Model | 1994 | 31 |
| 19 | Virtual trajectories predicted from surface EMG signal | 1993 | 8 |
| 20 | [Diagnosis of voice disorders]. | 1979 | 37 |
About Yasuharu Koike
Yasuharu Koike is a scholar working on Human-Computer Interaction, Cognitive Neuroscience, Biomedical Engineering, Control and Systems Engineering and Physical Therapy, Sports Therapy and Rehabilitation, having authored 203 papers that have together received 2.9k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (71 papers), Muscle activation and electromyography studies (69 papers), Motor Control and Adaptation (49 papers), Neural dynamics and brain function (27 papers), Tactile and Sensory Interactions (27 papers), Teleoperation and Haptic Systems (21 papers), Neuroscience and Neural Engineering (20 papers) and Robot Manipulation and Learning (19 papers). The work is most often cited by research in Cognitive Neuroscience (2.1k citations), Human-Computer Interaction (420 citations), Cellular and Molecular Neuroscience (557 citations), Physical Therapy, Sports Therapy and Rehabilitation (126 citations) and Biomedical Engineering (1.1k citations). Yasuharu Koike has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Hiroyuki Kambara, Mitsuo Kawato, Natsue Yoshimura, Makoto Sato, Duk Shin, Charles S. DaSalla, Ludovico Minati, Toshihiro Kawase, Jaehyo Kim and Yan Li. Their work appears in journals such as Scientific Reports, Frontiers in Neuroscience, Neural Networks, Biological Cybernetics and Neuroscience Research.
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.