Kuu‐Young Young

634 citations
61 papers · 443 indexed · h-index 12
Topics
Robot Manipulation and Learning (28 papers)Robotic Path Planning Algorithms (18 papers)Fuzzy Logic and Control Systems (12 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE Transactions on Industrial ElectronicsIEEE Access

In The Last Decade

Kuu‐Young Young

58 papers receiving 419 citations

Peers

Kuu‐Young Young
Comparison fields: 5 of 68
  • Control and Systems Engineering 180
  • Biomedical Engineering 169
  • Computer Vision and Pattern Recognition 129
  • Mechanical Engineering 109
  • Artificial Intelligence 86
Replace Jim Mainprice with:
Jim Mainprice United States
Nadia Figueroa United States
Flavio Robertí Argentina
Paul Evrard France
Shady A. Maged Egypt
Peter Hubinský Slovakia
Martin Lawitzky Germany
Alexandros Paraschos Germany
João Silvério Italy
Matteo Saveriano Italy
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Citations per field
00.5×1.7×
Jim Mainprice · 1×
Citations per year

Countries citing papers authored by Kuu‐Young Young

Since Specialization
Citations

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

Fields of papers citing papers by Kuu‐Young Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuu‐Young Young. 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 Kuu‐Young Young. The network helps show where Kuu‐Young Young may publish in the future.

Co-authorship network of co-authors of Kuu‐Young Young

This figure shows the co-authorship network connecting the top 25 collaborators of Kuu‐Young Young. A scholar is included among the top collaborators of Kuu‐Young Young 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 Kuu‐Young Young. Kuu‐Young Young 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
#WorkIndexed citations
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Receding horizon passive control for a walk-assist robot
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Human intention recognition for robot walking helper using ANFIS
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Learning by demonstration for tool-handling task
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11 14
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Force reflection and manipulation for a VR-based telerobotic system
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About Kuu‐Young Young

Kuu‐Young Young is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 61 papers that have together received 443 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (28 papers), Robotic Path Planning Algorithms (18 papers) and Fuzzy Logic and Control Systems (12 papers). The work is most often cited by research in Human-Computer Interaction (52 citations), Control and Systems Engineering (180 citations) and Computer Vision and Pattern Recognition (129 citations). Kuu‐Young Young has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Chun-Hsu Ko, Cheng‐Jian Lin, Sunil K. Agrawal, Chin‐Teng Lin, Yiyuan Chen, Chin‐Ling Lee, Shu‐Ling Cheng, Jianbin Huang, Chun-Ling Lin and Shang-Hwa Hsu. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and IEEE Access.

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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