Kaiyan Yu

35 papers receiving 303 citations

Peers

Kaiyan Yu
Comparison fields: 5 of 53
  • Condensed Matter Physics 65
  • Polymers and Plastics 63
  • Automotive Engineering 36
  • Computer Vision and Pattern Recognition 51
  • Biomedical Engineering 95
Replace Jef Thoné with:
Jef Thoné Belgium
Wencheng Zhao China
R. Carta Belgium
Xinyu Zhu China
Yiqun Li China
Marcel Tichem Netherlands
Xianwu Zeng United Kingdom
Hüseyin Üvet Türkiye
Zhiwei Chen China
Kai Zeng China
Kaiyan Yu relative to Jef Thoné Belgium Jef Thoné's profile →
Citations per field
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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 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199484
2 201424
3 201622
4 201817
5 201616
6 202315
7 202015
8 201810
9 201610
10 201810
11 20149
12 20166
13 20226
14 20146
15 20136
16 20235
17 20205
18 20195
19 20185
20 20175

About Kaiyan Yu

Kaiyan Yu is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Condensed Matter Physics, Computer Vision and Pattern Recognition and Mechanical Engineering, having authored 36 papers that have together received 314 indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (12 papers), Electrowetting and Microfluidic Technologies (11 papers), Micro and Nano Robotics (9 papers), Robotic Path Planning Algorithms (7 papers), Modular Robots and Swarm Intelligence (7 papers), Microfluidic and Capillary Electrophoresis Applications (6 papers), Piezoelectric Actuators and Control (3 papers) and Gaze Tracking and Assistive Technology (2 papers). The work is most often cited by research in Condensed Matter Physics (65 citations), Polymers and Plastics (63 citations), Automotive Engineering (36 citations), Computer Vision and Pattern Recognition (51 citations) and Biomedical Engineering (95 citations). Kaiyan Yu has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Jingang Yi, Jerry W. Shan, Juan Wu, Aliasghar Arab, Richard G. Saul, Dezhen Song, Jiaxing Yu, Xiang Lu, Hongbiao Xiang and Jingtai Liu. Their work appears in journals such as IEEE Transactions on Automation Science and Engineering, Journal of Dynamic Systems Measurement and Control, Nutrition, Clinical Chemistry and IEEE/ASME Transactions on Mechatronics.

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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