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Bibliometric Mining of Research Trends in Machine Learning
16 references·0 citing·51 second hopsampled
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References

  • 2021Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis723 cited
  • 2022Artificial intelligence and machine learning in finance: A bibliometric review468 cited
  • 2017Some bibliometric procedures for analyzing and evaluating research fields437 cited
  • 2011Clustering More than Two Million Biomedical Publications: Comparing the Accuracies of Nine Text-Based Similarity Approaches271 cited
  • 2019pybliometrics: Scriptable bibliometrics using a Python interface to Scopus229 cited
  • 2021Big data analytics and machine learning: A retrospective overview and bibliometric analysis127 cited
  • 2021Comparison of two science mapping tools based on software technical evaluation and bibliometric case studies110 cited
  • 2013The h-index outperforms other bibliometrics in the assessment of research performance in general surgery: A province-wide study97 cited
  • 2019Bibliometric analysis of support vector machines research trend: a case study in China92 cited
  • 2017Scientific evolutionary pathways: Identifying and visualizing relationships for scientific topics87 cited
  • 2023Examining the research taxonomy of artificial intelligence, deep learning & machine learning in the financial sphere—a bibliometric analysis83 cited
  • 2020A bibliometric analysis on deep learning during 2007–201979 cited
  • 2022Conceptual Structure and Current Trends in Artificial Intelligence, Machine Learning, and Deep Learning Research in Sports: A Bibliometric Review

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75 cited
  • 2021A visualized bibliometric analysis of mapping research trends of machine learning in engineering (MLE)73 cited
  • 2020Professional standards in bibliometric research evaluation? A meta-evaluation of European assessment practice 2005–201965 cited
  • 2020The Methodological Basis of Defining Research Trends and Fronts60 cited
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