Kun Yuan

91 papers and 2.1k indexed citations i.

About

Kun Yuan is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Kun Yuan has authored 91 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Networks and Communications, 18 papers in Artificial Intelligence and 16 papers in Computational Mechanics. Recurrent topics in Kun Yuan’s work include Distributed Multi-Agent Coordination and Control (25 papers), Stochastic Gradient Optimization Techniques (13 papers) and Sparse and Compressive Sensing Techniques (10 papers). Kun Yuan is often cited by papers focused on Distributed Multi-Agent Coordination and Control (25 papers), Stochastic Gradient Optimization Techniques (13 papers) and Sparse and Compressive Sensing Techniques (10 papers). Kun Yuan collaborates with scholars based in China, United States and Switzerland. Kun Yuan's co-authors include Qing Ling, Wotao Yin, Ali H. Sayed, Yan Ji, Wei Shi, Gang Wu, Bicheng Ying, J.N. Chung, Xiaochuan Zhao and J. N. Chung and has published in prestigious journals such as Journal of Power Sources, IEEE Transactions on Automatic Control and International Journal of Heat and Mass Transfer.

In The Last Decade

Co-authorship network of co-authors of Kun Yuan i

Fields of papers citing papers by Kun Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kun Yuan

Since Specialization
Citations

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

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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