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A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications

Overview of attention for article published in IEEE Transactions on Knowledge and Data Engineering, November 2021
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Mentioned by

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1 X user

Citations

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493 Dimensions

Readers on

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1509 Mendeley
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Title
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
Published in
IEEE Transactions on Knowledge and Data Engineering, November 2021
DOI 10.1109/tkde.2021.3130191
Authors

Jie Gui, Zhenan Sun, Yonggang Wen, Dacheng Tao, Jieping Ye

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1,509 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1509 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 270 18%
Student > Master 230 15%
Researcher 118 8%
Student > Bachelor 98 6%
Student > Doctoral Student 48 3%
Other 191 13%
Unknown 554 37%
Readers by discipline Count As %
Computer Science 531 35%
Engineering 171 11%
Mathematics 31 2%
Physics and Astronomy 21 1%
Unspecified 21 1%
Other 136 9%
Unknown 598 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 23 November 2021.
All research outputs
#22,774,430
of 25,392,582 outputs
Outputs from IEEE Transactions on Knowledge and Data Engineering
#2,129
of 2,367 outputs
Outputs of similar age
#439,629
of 514,256 outputs
Outputs of similar age from IEEE Transactions on Knowledge and Data Engineering
#25
of 87 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,367 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 514,256 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 87 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.