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Are all literature citations equally important? Automatic citation strength estimation and its applications

Published on Sep 1, 2014in Journal of the Association for Information Science and Technology2.74
· DOI :10.1002/asi.23083
Xiaojun Wan26
Estimated H-index: 26
(PKU: Peking University),
Fang Liu1
Estimated H-index: 1
(BNU: Beijing Normal University)
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Abstract
Literature citation analysis plays a very important role in bibliometrics and scientometrics, such as the Science Citation Index (SCI) impact factor, h-index. Existing citation analysis methods assume that all citations in a paper are equally important, and they simply count the number of citations. Here we argue that the citations in a paper are not equally important and some citations are more important than the others. We use a strength value to assess the importance of each citation and propose to use the regression method with a few useful features for automatically estimating the strength value of each citation. Evaluation results on a manually labeled data set in the computer science field show that the estimated values can achieve good correlation with human-labeled values. We further apply the estimated citation strength values for evaluating paper influence and author influence, and the preliminary evaluation results demonstrate the usefulness of the citation strength values.
  • References (30)
  • Citations (26)
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