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Stochastic stabilization of hybrid neural networks by periodically intermittent control based on discrete-time state observations

Overview of attention for article published in Nonlinear Analysis: Hybrid Systems, May 2023
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Mentioned by

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2 X users

Citations

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1 Mendeley
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Title
Stochastic stabilization of hybrid neural networks by periodically intermittent control based on discrete-time state observations
Published in
Nonlinear Analysis: Hybrid Systems, May 2023
DOI 10.1016/j.nahs.2023.101331
Authors

Wei Mao, Surong You, Yanan Jiang, Xuerong Mao

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Mathematics 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 January 2023.
All research outputs
#17,744,938
of 26,798,288 outputs
Outputs from Nonlinear Analysis: Hybrid Systems
#25
of 60 outputs
Outputs of similar age
#236,606
of 420,556 outputs
Outputs of similar age from Nonlinear Analysis: Hybrid Systems
#1
of 2 outputs
Altmetric has tracked 26,798,288 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 60 research outputs from this source. They receive a mean Attention Score of 1.6. This one has gotten more attention than average, scoring higher than 56% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 420,556 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them