Qingkai Yang

1.3k citations
72 papers · 876 · h-index 16

Impact in

Papers in

Qingkai Yang

64 papers receiving 863 citations

Peers

Qingkai Yang
Comparison fields: 5 of 91
  • Computer Networks and Communications 469
  • Control and Systems Engineering 393
  • Automotive Engineering 103
  • Computer Vision and Pattern Recognition 123
  • Aerospace Engineering 133
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Adam Howell United States
Suk-Gyu Lee South Korea
Dianwei Qian China
Weiran Yao China
Mohamed A. Kamel Egypt
Xiaoming Duan China
Francesco Tedesco Italy
Qingkai Yang relative to Adam Howell United States Adam Howell's profile →
Citations per field
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Citations per year

Countries citing papers authored by Qingkai Yang

Since Specialization
Citations

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

Fields of papers citing papers by Qingkai Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Proceedings of the 34th Chinese Control Conference (CCC 2015)
2015197
2 201885
3 201759
4 201738
5 201835
6 201533
7 202133
8 202030
9 202230
10 201825
11 202121
12 201418
13 201618
14 202218
15 201415
16 200915
17 202012
18 201712
19 202111
20 201610

About Qingkai Yang

Qingkai Yang is a scholar working on Computer Networks and Communications, Control and Systems Engineering, Aerospace Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering, having authored 72 papers that have together received 876 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (45 papers), Adaptive Control of Nonlinear Systems (19 papers), Neural Networks Stability and Synchronization (12 papers), Robotic Path Planning Algorithms (12 papers), Structural Analysis and Optimization (10 papers), Modular Robots and Swarm Intelligence (9 papers), Robotics and Sensor-Based Localization (7 papers) and Guidance and Control Systems (7 papers). The work is most often cited by research in Computer Networks and Communications (469 citations), Control and Systems Engineering (393 citations), Automotive Engineering (103 citations), Computer Vision and Pattern Recognition (123 citations) and Aerospace Engineering (133 citations). Qingkai Yang has collaborated with scholars based in China, Netherlands and United States. Frequent co-authors include Ming Cao, Jie Chen, Hao Fang, Jie Chen, Dietmar Goehlich, Huiming Gong, Jie Fan, Fengchun Sun, Yuan Zou and Zhong‐Ping Jiang. Their work appears in journals such as IEEE Transactions on Cybernetics, IEEE Robotics and Automation Letters, IEEE Transactions on Automatic Control, IEEE Transactions on Industrial Electronics and IEEE Transactions on Systems Man and Cybernetics Systems.

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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