[Objective] This paper analyzes titles of research evaluating brands of agriculture products in China, aiming to summarize the latest developments in this field. [Methods] First, we used the k-means to cluster the retrieved titles. Then, we employed factor analysis, multidimensional scale analysis, and hierarchical clustering analysis to examine the data. [Results] We found the total number of articles published each year, as well as research topics, brand types, evaluation methods and perspectives, and impact factors of these studies. [Limitations] We did not examine keywords and abstracts of the selected literature. [Conclusions] The results of clustering reveals the developments of related research. However, our study does not discuss types of products and methods of interband evaluations.