Daisuke Chugo

161 papers receiving 753 citations

Peers

Daisuke Chugo
Comparison fields: 5 of 72
  • Physical Therapy, Sports Therapy and Rehabilitation 136
  • Rehabilitation 125
  • Human-Computer Interaction 112
  • Occupational Therapy 39
  • Control and Systems Engineering 229
Replace Sho Yokota with:
Sho Yokota Japan
Kap-Ho Seo South Korea
Pradip N. Sheth United States
Kunikatsu Takase Japan
Danijela Ristić–Durrant Germany
Matteo Lancini Italy
Mohammed I. Awad Egypt
M. Skubic United States
Yuki Sakaida Japan
Yuquan Leng China
Daisuke Chugo relative to Sho Yokota Japan Sho Yokota's profile →
Citations per field
00.5×2.6×
Sho Yokota · 1×
Citations per year

Countries citing papers authored by Daisuke Chugo

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Chugo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daisuke Chugo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daisuke Chugo Line = papers co-authored together Daisuke Chugo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 197 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200839
2 200928
3 200826
4 200723
5 200523
6 200722
7 200621
8 200620
9 200719
10 202216
11 201115
12 200615
13 201713
14 201413
15 200912
16 201212
17 200411
18
Localization for indoor service robot by using local-features of image
200910
19 201210
20 201710

About Daisuke Chugo

Daisuke Chugo is a scholar working on Biomedical Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition, Human-Computer Interaction and Physical Therapy, Sports Therapy and Rehabilitation, having authored 197 papers that have together received 797 indexed citations. Recurring topics across this work include Prosthetics and Rehabilitation Robotics (42 papers), Robotic Path Planning Algorithms (41 papers), Robotic Locomotion and Control (38 papers), Balance, Gait, and Falls Prevention (36 papers), Control and Dynamics of Mobile Robots (27 papers), Gaze Tracking and Assistive Technology (27 papers), Stroke Rehabilitation and Recovery (24 papers) and Muscle activation and electromyography studies (20 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (136 citations), Rehabilitation (125 citations), Human-Computer Interaction (112 citations), Occupational Therapy (39 citations) and Control and Systems Engineering (229 citations). Daisuke Chugo has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Sho Yokota, Hiroshi Hashimoto, Kunikatsu Takase, Songmin Jia, Hajime Asama, Kuniaki Kawabata, Hayato Kaetsu, Yuki Sakaida, Takuya Kitamura and K. Takase. Their work appears in journals such as Springer tracts in advanced robotics, Industrial Robot the international journal of robotics research and application, Advanced Robotics, IEEE Transactions on Instrumentation and Measurement and IEEE Transactions on Industrial Electronics.

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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