Key Laboratory of Computing and Stochastic Mathematics (Ministry of Education)

15.6k citations
1.2k papers ·

Impact in

Papers in

Key Laboratory of Computing and Stochastic Mathematics (Ministry of Education)

984 papers receiving 14.9k citations

Peers

Key Laboratory of Computing and Stochastic Mathematics (Ministry of Education)
Comparison fields: 5 of 207
  • Modeling and Simulation 2.0k
  • Numerical Analysis 1.5k
  • Applied Mathematics 1.7k
  • Control and Systems Engineering 3.2k
  • Statistical and Nonlinear Physics 1.7k
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Key Laboratory of Computing and Stochastic Mathematics (Ministry of Education) relative to Hubei University for Nationalities China Hubei University for Nationalities's profile →
Citations per field
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Citations per year

Countries citing scholars working at Key Laboratory of Computing and Stochastic Mathematics (Ministry of Education)

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Key Laboratory of Computing and Stochastic Mathematics (Ministry of Education). 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 papers produced at Key Laboratory of Computing and Stochastic Mathematics (Ministry of Education) with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Key Laboratory of Computing and Stochastic Mathematics (Ministry of Education) more than expected).

Fields of papers published by authors at Key Laboratory of Computing and Stochastic Mathematics (Ministry of Education)

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Key Laboratory of Computing and Stochastic Mathematics (Ministry of Education) at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Key Laboratory of Computing and Stochastic Mathematics (Ministry of Education) at the time of their publication.

About Key Laboratory of Computing and Stochastic Mathematics (Ministry of Education)

In recent decades, authors affiliated with Key Laboratory of Computing and Stochastic Mathematics (Ministry of Education) have published 1.2k papers, which have received a total of 15.6k indexed citations . Scholars at this organization have produced 105 papers in Modeling and Simulation, 240 papers in Applied Mathematics, 188 papers in Mathematical Physics, 111 papers in Numerical Analysis and 115 papers in Geometry and Topology on the topics of Neural Networks Stability and Synchronization (156 papers), Fractional Differential Equations Solutions (94 papers), Stability and Control of Uncertain Systems (90 papers), Stability and Controllability of Differential Equations (87 papers), Differential Equations and Numerical Methods (85 papers), Mathematical Dynamics and Fractals (80 papers), Mathematical Analysis and Transform Methods (68 papers) and Nonlinear Differential Equations Analysis (60 papers). Their work is cited by papers focused on Modeling and Simulation (2.0k citations), Numerical Analysis (1.5k citations), Applied Mathematics (1.7k citations), Control and Systems Engineering (3.2k citations) and Statistical and Nonlinear Physics (1.7k citations). Authors at Key Laboratory of Computing and Stochastic Mathematics (Ministry of Education) collaborate with scholars in China, United States and United Kingdom and have published in prestigious journals including Journal of the Franklin Institute, IEEE Transactions on Neural Networks and Learning Systems, Applied Mathematics and Computation, Communications in Nonlinear Science and Numerical Simulation and IEEE Transactions on Automatic Control. Some of Key Laboratory of Computing and Stochastic Mathematics (Ministry of Education)'s most productive authors include Quanxin Zhu, Ke Li, Jianhua Dai, Da Xu, Kui Ding, Wenlin Qiu, Tingwen Huang, Lin Xiao, Fanchao Kong and Hui Ou.

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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