The aim of this literature review is to examine the current state of the art in the area of citation
classification. In particular, we investigate the approaches for characterizing citations based …

Recent research has shifted to investigating knowledge integration in an interdisciplinary
field and measuring the interdisciplinarity. Conventional citation analysis does not consider …

Interdisciplinary research has attracted extensive attention from researchers and
policymakers by its nature of integrating various types of knowledge from multiple disciplines …

Much effort has been made in the past decades to citation function classification, but
noteworthy issues exist. Annotation difficulty resulted in limited data size, especially for …

Citation function classification is an important task in scientific text mining. The past two
decades have witnessed many computerised algorithms working on various citation function …

Compared to feature engineering, deep learning approaches for citation context analysis
have yet fully leveraged the myriad of design options for modeling in-text citation, citation …

Purpose Citations have been used as a common basis to measure the academic
accomplishments of scientific books. However, traditional citation analysis ignored content …

This study proposes a method for assessing the impact of scientific communication on their
citation paths beyond conventional direct citations. The proposed method considers the …

Purpose Citation contexts have been found useful in many scenarios. However, existing
context-based recommendations ignored the importance of diversity in reducing the …

This study used the semantic similarity between citation contexts to develop one scheme for
weighting direct citations, and another scheme for allocating residual citations to a …