Xuan Cai

449 citations
30 papers · 366 indexed · h-index 14
Co-authors
Chaoli WangGang WangFu‐Rong ChenLin LiZhihua ZhangYan YanLi YuZongyu Zuo
Topics
Distributed Control Multi-Agent Systems (21 papers)Adaptive Control of Nonlinear Systems (17 papers)Neural Networks Stability and Synchronization (15 papers)
Partner nations
ChinaUnited States

In The Last Decade

Xuan Cai

27 papers receiving 366 citations

Peers

Xuan Cai
Comparison fields: 5 of 22
  • Control and Systems Engineering 278
  • Computer Networks and Communications 275
  • Electrical and Electronic Engineering 58
  • Computational Theory and Mathematics 53
  • Aerospace Engineering 23
Replace Shuyi Xiao with:
Shuyi Xiao China
Gaosheng Zhang China
Haris E. Psillakis Greece
Rodrigo Aldana‐López Spain
Yiyan Han China
Zhengyan Qin China
Ruohan Yang China
Ruting Jia United States
Guangdeng Chen China
Xuan Cai relative to Shuyi Xiao China Shuyi Xiao's profile →
Citations per field
00.5×10×14×
Shuyi Xiao · 1×
Citations per year

Countries citing papers authored by Xuan Cai

Since Specialization
Citations

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

Fields of papers citing papers by Xuan Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuan Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Xuan Cai. A scholar is included among the top collaborators of Xuan Cai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xuan Cai. Xuan Cai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 7
4 5
5 21
6 14
7 23
8 24
9 34
10 13
11 13
12 28
13 19
14 15
15 15
16 17
17 0
18 1
19 0
20 1

About Xuan Cai

Xuan Cai is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Computational Theory and Mathematics, having authored 30 papers that have together received 366 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (21 papers), Adaptive Control of Nonlinear Systems (17 papers) and Neural Networks Stability and Synchronization (15 papers). The work is most often cited by research in Computer Networks and Communications (275 citations), Control and Systems Engineering (278 citations) and Computational Theory and Mathematics (53 citations). Xuan Cai has collaborated with scholars based in China and United States. Frequent co-authors include Chaoli Wang, Gang Wang, Fu‐Rong Chen, Lin Li, Zhihua Zhang, Lin Li, Zhihua Zhang, Yan Yan, Li Yu and Zongyu Zuo. Their work appears in journals such as IEEE Transactions on Power Electronics, IEEE Access and Neurocomputing.

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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