Kaiyan Yu

42 papers receiving 366 citations

Peers

Kaiyan Yu
Comparison fields: 5 of 59
  • Condensed Matter Physics 71
  • Polymers and Plastics 69
  • Automotive Engineering 40
  • Computer Vision and Pattern Recognition 55
  • Biomedical Engineering 103
Replace Feng Chuan Shen with:
Feng Chuan Shen China
Zhongyu Wang China
Wencheng Zhao China
Yiqun Li China
Jef Thoné Belgium
Xianwu Zeng United Kingdom
Hüseyin Üvet Türkiye
Zhenhai Zhang China
R. Carta Belgium
Kaiyan Yu relative to Feng Chuan Shen China Feng Chuan Shen's profile →
Citations per field
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Feng Chuan Shen · 1×
Citations per year

Countries citing papers authored by Kaiyan Yu

Since Specialization
Citations

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

Fields of papers citing papers by Kaiyan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199495
2 201425
3 201623
4 201818
5 202018
6 202317
7 201617
8 201314
9 201611
10 201811
11 201811
12 20149
13 20238
14 20237
15 20227
16 20146
17 20166
18 20136
19 20195
20 20195

About Kaiyan Yu

Kaiyan Yu is a scholar working on Condensed Matter Physics, Computer Vision and Pattern Recognition, Biomedical Engineering, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 44 papers that have together received 381 indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (13 papers), Electrowetting and Microfluidic Technologies (12 papers), Micro and Nano Robotics (10 papers), Modular Robots and Swarm Intelligence (7 papers), Robotic Path Planning Algorithms (7 papers), Microfluidic and Capillary Electrophoresis Applications (6 papers), Piezoelectric Actuators and Control (3 papers) and Force Microscopy Techniques and Applications (2 papers). The work is most often cited by research in Condensed Matter Physics (71 citations), Polymers and Plastics (69 citations), Automotive Engineering (40 citations), Computer Vision and Pattern Recognition (55 citations) and Biomedical Engineering (103 citations). Kaiyan Yu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Jingang Yi, Jerry W. Shan, Juan Wu, Richard G. Saul, Aliasghar Arab, Jiaxing Yu, Yizhai Zhang, Min Yang, Dezhen Song and Zi Chen. Their work appears in journals such as IEEE Transactions on Automation Science and Engineering, Journal of Dynamic Systems Measurement and Control, IEEE Robotics and Automation Letters, International Journal of Molecular Sciences and IEEE Transactions on Robotics.

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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