Kaiyu Qin

1.9k citations
200 papers · 1.2k indexed · h-index 18

Kaiyu Qin

166 papers receiving 1.2k citations

Peers

Kaiyu Qin
Comparison fields: 5 of 86
  • Computer Networks and Communications 528
  • Control and Systems Engineering 312
  • Computer Vision and Pattern Recognition 273
  • Applied Mathematics 119
  • Signal Processing 101
Replace Adrian N. Bishop with:
Adrian N. Bishop Australia
João Xavier Portugal
Jinming Wen China
Pedro M. Q. Aguiar Portugal
Tuncer C. Aysal United States
Sara Dadras United States
Tomaso Erseghe Italy
Jinshan Zeng China
Alfredo Germani Italy
Ijaz Mansoor Qureshi Pakistan
Kaiyu Qin relative to Adrian N. Bishop Australia Adrian N. Bishop's profile →
Citations per field
00.5×3.6×
Adrian N. Bishop · 1×
Citations per year

Countries citing papers authored by Kaiyu Qin

Since Specialization
Citations

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

Fields of papers citing papers by Kaiyu Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
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14 20210
15 20173
16
Software Design for Satellite TV signal Monitoring System
20120
17
A Time-frequency Analysis Method Based on Linear Canonical Transform and Short-time Fourier Transform
20112
18
Electromagnetic compatibility of automobile:standards,situation and measures
20111
19
Novel Method for Time-Frequency Signal Separation Based on the Linear Canonical Transform
20101
20
Design of zero-dead time arming in the modulation domain and pulse analyzer
20081

About Kaiyu Qin

Kaiyu Qin is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 200 papers that have together received 1.2k indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (72 papers), Neural Networks Stability and Synchronization (40 papers), Adaptive Control of Nonlinear Systems (38 papers), Optical Wireless Communication Technologies (14 papers), Advanced Power Amplifier Design (14 papers), Mathematical and Theoretical Epidemiology and Ecology Models (12 papers), Robotic Path Planning Algorithms (11 papers) and UAV Applications and Optimization (11 papers). The work is most often cited by research in Computer Networks and Communications (528 citations), Control and Systems Engineering (312 citations) and Computer Vision and Pattern Recognition (273 citations). Kaiyu Qin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Mengji Shi, Bo Zhu, Jun Liu, Weihao Li, Yang Zhu, Peng Lin, Hugh H. T. Liu, Xiao Yan, Wei Ren and Hongmei Zhao. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

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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