Finding gene targets of putative regulatory elements is always a challenge. Common methods range from simply assigning them to the nearest gene (not all that accurate, but certainly the easiest), to trying to corroborate their "activity" with expression of nearby genes in the same sample, to integrating chromatin interaction data (ala Hi-C/ChIA-PET/5C-based methods) to identify topologically associated domains since most enhancers only regulate genes within their respective TAD.

Depending on what data you have available or can find publicly, you can try a few different methods. ChIPseeker is a decent R package that will assign your enhancers to the nearest genes and is useful for generating some decent summary figures. It can also be integrated with clusterProfiler for GO/pathway enrichment analyses. GREAT is another tool in the same vein, but completely web-based.

As for the other options, you'll have to write something in R or Python to pull out potential targets for each enhancer. I don't know of any tools that tie in expression or interactome data off the top of my head, though they may very well exist.