Mapping knowledge structure by keyword co-occurrence: a first look at journal papers in Technology Foresight

By Hsin-Ning Su, Pei-Chun Lee. Scientometrics, 2010

823 citations recorded by the source corpus.

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A Holistic Review of Cement Composites Reinforced with Graphene Oxide (2018, background): “Keyword analysis Keywords represent the core contents of existing studies and depict the research areas within a certain domain [38].”
Research on the Literature of Green Building Based on the Web of Science: A Scientometric Analysis in CiteSpace (2002–2018) (2019, background): “It has been launched tens of thousands of times in at least 60 countries, and has been continuously upgraded and updated with high reliability, making it a new tool widely used in scientometrics [22].”
The science of science: from the perspective of complex systems (2017, background): “Keyword co-occurrence networks, with links representing a pair of keywords appearing in the same article, are built to understand the organization of scientific knowledge [94] and conflict research [95].”
Mapping 50 Years of Small Group Research Through Small Group Research (2020, positive): “Researchers use keyword co-occurrence networks (KCNs) to demarcate the boundaries of scientific fields or domains and to identify communication between subfields (e.g., Castriotta et al., 2019; Y. W. Chang et al., 2015; Choi et al., 2011; Su & Lee, 2010).”