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Leap2Trend: A Temporal Word Embedding Approach for Instant Detection of Emerging Scientific Trends
16 references·3 citing·56 second hopsampled
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References

  • 2008What do citation counts measure? A review of studies on citing behavior1,598 cited
  • 2016Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change956 cited
  • 2018Google Scholar to overshadow them all? Comparing the sizes of 12 academic search engines and bibliographic databases686 cited
  • 2018Emerging trends and new developments in information science: a document co-citation analysis (2009–2016)368 cited
  • 2017Big Scholarly Data: A Survey267 cited
  • 2018Structure and evolution of innovation research in the last 60 years: review and future trends in the field of business through the citations and co-citations analysis216 cited
  • 2017Identifying emerging research fields: a longitudinal latent semantic keyword analysis80 cited
  • 2013Trends in computer science research67 cited
  • 2017A content-based citation analysis study based on text categorization62 cited
  • 2018Bibliometric analysis to identify an emerging research area: Public Relations Intelligence—a challenge to strengthen technological observatories in the network society52 cited
  • 2018AUGUR52 cited
  • 2012Towards a Computational History of the ACL: 1980-200846 cited
  • 20122009. Topic modeling of research fields: An interdisciplinary perspective41 cited
  • 2017Toward predicting research proposal success

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38 cited
  • 2017Sleeping beauties in Computer Science: characterization and early identification32 cited
  • 2017Analysing Trends in Computer Science Research31 cited
  • Cited by

    • 2020Scholarly data mining: A systematic review of its applications23 cited
    • 2022The diversity of canonical and ubiquitous progress in computer vision: A dynamic topic modeling approach18 cited
    • 2022Cover papers of top journals are reliable source for emerging topics detection: a machine learning based prediction framework16 cited