Juan Yu

4.0k citations
80 papers · 3.3k indexed · 1 hit paper · h-index 33
Topics
Neural Networks Stability and Synchronization (77 papers)Nonlinear Dynamics and Pattern Formation (54 papers)stochastic dynamics and bifurcation (29 papers)
Partner nations
ChinaAustraliaQatar

In The Last Decade

Juan Yu

76 papers receiving 3.2k citations

Hit Papers

Fixed-time stability of dynamical systems and fixed-time ...20172026202020232017100200300

Peers

Juan Yu
Comparison fields: 5 of 61
  • Computer Networks and Communications 2.9k
  • Statistical and Nonlinear Physics 1.5k
  • Artificial Intelligence 730
  • Electrical and Electronic Engineering 696
  • Control and Systems Engineering 468
Replace Haibo Bao with:
Haibo Bao China
Yongqing Yang China
Xiaoxin Liao China
Chaouki Aouiti Tunisia
Jianwen Feng China
G. Velmurugan India
Tiedong Ma China
Huaiqin Wu China
K. Mathiyalagan India
Baotong Cui China
Juan Yu relative to Haibo Bao China Haibo Bao's profile →
Citations per field
00.5×
Haibo Bao · 1×
Citations per year

Countries citing papers authored by Juan Yu

Since Specialization
Citations

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

Fields of papers citing papers by Juan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Yu. A scholar is included among the top collaborators of Juan Yu 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 Juan Yu. Juan Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Fixed-time stability of dynamical systems and fixed-time synchronization of coupled discontinuous neural networksbreakdown →
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About Juan Yu

Juan Yu is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 80 papers that have together received 3.3k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (77 papers), Nonlinear Dynamics and Pattern Formation (54 papers) and stochastic dynamics and bifurcation (29 papers). The work is most often cited by research in Computer Networks and Communications (2.9k citations), Statistical and Nonlinear Physics (1.5k citations) and Modeling and Simulation (146 citations). Juan Yu has collaborated with scholars based in China, Australia and Qatar. Frequent co-authors include Haijun Jiang, Cheng Hu, Cheng Hu, Shuai Yang, Tingwen Huang, Zhidong Teng, Zhidong Teng, Zhan‐Heng Chen, Leimin Wang and Zhiyong Yu. Their work appears in journals such as Fuzzy Sets and Systems, Physics Letters A and IEEE Transactions on Cybernetics.

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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