[Objective] This paper examines the significance, perspective, and related technical methods identifying scholars’ research interests, aiming to provide references for future studies. [Coverage] We used “scholar profile” and “research interest” as keywords to search CNKI, Web of Science and DBLP, which retrieved 62 representative articles. [Methods] We reviewed these studies from the perspectives of words, topics and networks. We also analyzed their developments and future trends. [Results] The research at word and topic levels were well-developed, which can effectively identify scholars’ research interests and their evolutionary characteristics. However, the research at the network level merit more attention. [Limitations] This paper did not thoroughly discussed technical details of the relevant algorithms. [Conclusions] More studies need to be conducted on scholars’ research interest association and semantic recognition, as well as their semantic descriptions.
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