Patent citation analysis is important in patent quality evaluation. This paper proposed a method based on decision tree model to discover the hidden correspondence between citations and 12 influence factors. Result indicated that the year of priority was the most significant factor, followed by patent claims, patentees, assignment of patent, mean citations lag and priority country, and the rest of factors were less influential.
