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Two-dimensional Hilbert-Huang transform-based thermographic data processing for non-destructive material defect detection

Overview of attention for article published in Quantitative InfraRed Thermography, July 2024
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  • Above-average Attention Score compared to outputs of the same age (55th percentile)

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Title
Two-dimensional Hilbert-Huang transform-based thermographic data processing for non-destructive material defect detection
Published in
Quantitative InfraRed Thermography, July 2024
DOI 10.1080/17686733.2024.2379066
Authors

Tung-Yu Hsiao, Stefano Sfarra, Yi Liu, Yuan Yao

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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 17 July 2024.
All research outputs
#16,753,508
of 26,393,142 outputs
Outputs from Quantitative InfraRed Thermography
#23
of 35 outputs
Outputs of similar age
#77,128
of 183,432 outputs
Outputs of similar age from Quantitative InfraRed Thermography
#1
of 1 outputs
Altmetric has tracked 26,393,142 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 35 research outputs from this source. They receive a mean Attention Score of 4.4. This one scored the same or higher as 12 of them.
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 183,432 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 1 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