Searching for intellectual turning points: Progressive knowledge domain visualization

By Chaomei Chen. Proceedings of the National Academy of Sciences of the United States of America, 2004

2,637 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/1903c8b9dc5a32646f2b7aec3c96bb9aca09c805

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Citations in the corpus

Examining the usage, citation, and diffusion patterns of bibliometric mapping software: A comparative study of three tools (2018, methodology): “CiteSpace (http://cluster.cis.drexel.edu/∼cchen/citespace/; Chen, 2004, 2006), a freely available software tool for analyzng, detecting and visualizing trends and patterns in scientific literature, was developed by Chaomei Chen in 2004 at Drexel University (USA).”
Emerging trends in regenerative medicine: a scientometric analysis in CiteSpace (2012, methodology): “It is worth noting that this expert opinion is solely based on scientometric patterns revealed by CiteSpace without prior working experience in the regenerative medicine field.”
Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives (2017, methodology): “The retrieved articles were statistically analyzed using the analytical tool “CiteSpace” (Chen, 2004), and an analysis of the keyword frequency is shown in Figure 2.”
Bibliometric visualisation: an application in tourism crisis and disaster management research (2019, methodology): “…2009), BibExcel (Persson, Danell, & Wiborg Schneider, 2009), CoPalRed (BailónMoreno, Jurado-Alameda, Ruíz-Baños, & Courtial, 2005, 2006), Network Workbench (Börner et al., 2010; Herr, Huang, Penumarthy, & Börner, 2007), VantagePoint (Porter & Cunningham, 2004), and CiteSpace (Chen, 2004, 2006).”
The structure and dynamics of cocitation clusters: A multiple-perspective cocitation analysis (2010, methodology): “CiteSpace supports a unique type of co-citation network analysis – progressive network analysis – based on a time slicing strategy and then synthesizing a series of individual network snapshots defined on consecutive time slices.”
Science Mapping: A Systematic Review of the Literature (2017, methodology): “…types of high-impact contributions appeared in this period, notably: • literature reviews – (Börner, Chen, & Boyack, 2003) • software tools – CiteSpace (Chen, 2004), CiteSpace II (Chen, 2006), CiteSpace III (Chen et al., 2010), VOSViewer (van Eck & Waltman, 2010) • science mapping applications…”
Visualizing a field of research: A methodology of systematic scientometric reviews (2019, background): “Knowledge domain visualization, for example, focuses on knowledge domains as the unit of analysis [10, 40, 41].”
Visualizing Bibliometric Networks (2014, methodology): “CiteSpace offers both graph-based and timeline-based visualizations.”
CiteSpace II: Visualization and Knowledge Discovery in Bibliographic Databases (2005, background): “Detailed reports can b found in Chen, 2004 and Chen, 2005 [7, 8].”
Global Research on Artificial Intelligence from 1990-2014: Spatially-Explicit Bibliometric Analysis (2016, methodology): “Social network analysis is the method of investigating social structures based on the theory of networks and graphs [26].”
SciMAT: A new science mapping analysis software tool (2012, methodology): “CiteSpace (Chen, 2004, 2006), Science of Science Tool, and VantagePoint have several analysis methods (geospatial, burst detection, etc.).”
Fundamentals of Information Studies: Understanding Information and Its Environment, Second Edition (2009, background): “Several recent developments in the visualization of networks, for instance, have begun to tackle the problem of large-scale, complex cocitation networks (Chen, 2004; Small, 2006; Boyack et al., 2007; Klavans & Boyack, 2006).”