proposed the "limma-trend" method for analysing RNA-seq data. It originated both the voom and limma-trend methods. The article says:
"We explore two ways to incorporate the mean-variance relationship into the differential expression analysis. ...We call the first method limma-trend and the second method voom"
The limma-trend method consists of computing logCPM values using edgeR, then analyzing these in limma using trend=TRUE in the eBayes call. The method is shown to perform as well as the "voom" method except when the library sizes are very unequal.
A Google Scholar search shows that this is only published article to have used the term "limma-trend".