Kai Yuan

778 citations
27 papers · 445 · h-index 10

Impact in

Papers in

    • Robot Manipulation and Learning 6
    • Robotic Mechanisms and Dynamics 3
    • Industrial Technology and Control Systems 3
    • Dynamics and Control of Mechanical Systems 3
    • Robotic Locomotion and Control 6
    • Muscle activation and electromyography studies 3
    • Prosthetics and Rehabilitation Robotics 3

Kai Yuan

25 papers receiving 434 citations

Peers

Kai Yuan
Comparison fields: 5 of 97
  • Building and Construction 94
  • Industrial and Manufacturing Engineering 54
  • Control and Systems Engineering 110
  • Water Science and Technology 62
  • Pollution 32
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Jiaxi Li China
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Lixing Ding China
Huijuan Sun China
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Citations per field
00.5×1.5×2.3×
Jiaxi Li · 1×
Citations per year

Countries citing papers authored by Kai Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Kai Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kai Yuan, 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 Kai Yuan Line = papers co-authored together Kai Yuan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019154
2 201993
3 202031
4 201928
5 202019
6 200316
7 202212
8 201811
9 202211
10 202310
11 19909
12 20238
13 20188
14 19977
15 20206
16 20224
17 20204
18 20143
19 20213
20 20132

About Kai Yuan

Kai Yuan is a scholar working on Control and Systems Engineering, Biomedical Engineering, Artificial Intelligence, Mechanical Engineering and Cognitive Neuroscience, having authored 27 papers that have together received 445 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (6 papers), Robotic Locomotion and Control (6 papers), Robotic Mechanisms and Dynamics (3 papers), Reinforcement Learning in Robotics (3 papers), Industrial Technology and Control Systems (3 papers), Muscle activation and electromyography studies (3 papers), Prosthetics and Rehabilitation Robotics (3 papers) and Dynamics and Control of Mechanical Systems (3 papers). The work is most often cited by research in Building and Construction (94 citations), Industrial and Manufacturing Engineering (54 citations), Control and Systems Engineering (110 citations), Water Science and Technology (62 citations) and Pollution (32 citations). Kai Yuan has collaborated with scholars based in United Kingdom, China and Taiwan. Frequent co-authors include Luis Caicedo, Djavan De Clercq, Ruoxi Shang, Zongguo Wen, Zhibin Li, Fei Fan, Kunyi Ni, Zhuxin Zhang, Qiang Wang and Wenbin Hu. Their work appears in journals such as IEEE Robotics and Automation Letters, Journal of Cleaner Production, The Science of The Total Environment, Journal of Sound and Vibration and BioResources.

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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