Yong‐Yan Cao

2.2k citations
55 papers · 1.8k indexed · h-index 20
Topics
Stability and Control of Uncertain Systems (37 papers)Control Systems and Identification (16 papers)Neural Networks Stability and Synchronization (12 papers)

In The Last Decade

Yong‐Yan Cao

52 papers receiving 1.7k citations

Peers

Yong‐Yan Cao
Comparison fields: 5 of 98
  • Control and Systems Engineering 1.4k
  • Computer Networks and Communications 530
  • Artificial Intelligence 228
  • Computational Theory and Mathematics 224
  • Statistical and Nonlinear Physics 158
Replace Achim Ilchmann with:
Achim Ilchmann Germany
Pierdomenico Pepe Italy
Dimitri Peaucelle France
Guang‐Da Hu China
Jinxing Lin China
Sabine Mondié Mexico
Tohru Katayama Japan
Hao Yang China
K.M. Nagpal United States
P.N. Paraskevopoulos Greece
Yong‐Yan Cao relative to Achim Ilchmann Germany Achim Ilchmann's profile →
Citations per field
00.5×1.6×
Achim Ilchmann · 1×
Citations per year

Countries citing papers authored by Yong‐Yan Cao

Since Specialization
Citations

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

Fields of papers citing papers by Yong‐Yan Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yong‐Yan Cao. 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 Yong‐Yan Cao. The network helps show where Yong‐Yan Cao may publish in the future.

Co-authorship network of co-authors of Yong‐Yan Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Yong‐Yan Cao. A scholar is included among the top collaborators of Yong‐Yan Cao 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 Yong‐Yan Cao. Yong‐Yan Cao 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 12
2 12
3 7
4 0
5 1
6 21
7 20
8 30
9 62
10 41
11 23
12 8
13 21
14 4
15 1
16 1
17 110
18 5
19 65
20 1

About Yong‐Yan Cao

Yong‐Yan Cao is a scholar working on Control and Systems Engineering, Numerical Analysis and Modeling and Simulation, having authored 55 papers that have together received 1.8k indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (37 papers), Control Systems and Identification (16 papers) and Neural Networks Stability and Synchronization (12 papers). The work is most often cited by research in Control and Systems Engineering (1.4k citations), Computer Networks and Communications (530 citations) and Numerical Analysis (117 citations). Yong‐Yan Cao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zongli Lin, P.M. Frank, Youxian Sun, James Lam, Dave Ward, Y. Shamash, Li‐Sheng Hu, Qingjiang Chen, Anke Xue and Jinshan Tang. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Transactions on Fuzzy 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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