Akira Yanou
About
In The Last Decade
Akira Yanou
132 papers receiving 622 citations
Peers
Comparison fields: 5 of 53
- Control and Systems Engineering 367
- Computer Vision and Pattern Recognition 207
- Aerospace Engineering 198
- Ocean Engineering 163
- Biomedical Engineering 106
Countries citing papers authored by Akira Yanou
This map shows the geographic impact of Akira Yanou'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 Akira Yanou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akira Yanou more than expected).
Fields of papers citing papers by Akira Yanou
This network shows the impact of papers produced by Akira Yanou. 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 Akira Yanou. The network helps show where Akira Yanou may publish in the future.
Co-authorship network of co-authors of Akira Yanou
This figure shows the co-authorship network connecting the top 25 collaborators of Akira Yanou. A scholar is included among the top collaborators of Akira Yanou 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 Akira Yanou. Akira Yanou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Experimental evaluations of prediction servoing to moving object by hand-eye robotic system | 3 |
| 3 | Human-face-tracking using visual servoing by patient robot | 1 |
| 4 | Hand-trajectory tracking control with bracing utilization of mobile redundant manipulator | 2 |
| 5 | Position/orientation control of an underactuated flight object based on two degree-of-freedom PID control | 2 |
| 6 | Analyses of jumping motion of humanoid robot using arms' swinging | 1 |
| 7 | Constraint-combined force/position hybrid control method with Lyapunov stability | 5 |
| 8 | Multiple chaos generation by Neural-Network-Differential-Equation for intelligent fish-catching | 2 |
| 9 | Application of strongly stable generalized predictive control to temperature control of an aluminum plate | 2 |
| 10 | 1A1-3 Predictive Control of Redundant Manipulators based on Avoidance Manipulability | 2 |
| 11 | Energy efficiency rate optimization of bracing robot | 1 |
| 12 | Motion representation of walking/slipping/turnover for humanoid robot by Newton-Euler method | 2 |
| 13 | Standing/walking stabilization of humanoid robot by visual servoing concept through online-visual-pose-estimation | 0 |
| 14 | 1A1-4 Control of Hyper-Redundancy Mobile Manipulator with Multi-Elbows braced for High Accuracy / Low-Energy Consumption | 1 |
| 15 | SVM-based moisture content modelling for Sugi drying process | 1 |
| 16 | A design of a strongly stable generalized minimum variance control using a genetic algorithm | 9 |
| 17 | Road sign feature extraction and recognition using dynamic image processing | 4 |
| 18 | Two degree-of-freedom of self-tuning GPC for M-input M-output systems based on state space approach | 1 |
| 19 | Two degree-of-freedom of self-tuning generalized predictive control based on polynomial approach | 7 |
| 20 | An extension of multivariable continuous-time generalized predictive control by using coprime factorization approach | 7 |
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.