Search (10 results, page 1 of 1)

  • × author_ss:"Song, M."
  • × language_ss:"e"
  • × year_i:[2010 TO 2020}
  1. Ding, Y.; Zhang, G.; Chambers, T.; Song, M.; Wang, X.; Zhai, C.: Content-based citation analysis : the next generation of citation analysis (2014) 0.02 
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    Date
    22. 8.2014 16:52:04
    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.9, S.1820-1833
  2. Song, M.; Kang, K.; An, J.Y.: Investigating drug-disease interactions in drug-symptom-disease triples via citation relations (2018) 0.01 
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    Date
    1.11.2018 18:19:22
    Source
    Journal of the Association for Information Science and Technology. 69(2018) no.11, S.1355-1368
  3. An, J.; Kim, N.; Kan, M.-Y.; Kumar Chandrasekaran, M.; Song, M.: Exploring characteristics of highly cited authors according to citation location and content (2017) 0.00 
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    Abstract
    Big Science and cross-disciplinary collaborations have reshaped the intellectual structure of research areas. A number of works have tried to uncover this hidden intellectual structure by analyzing citation contexts. However, none of them analyzed by document logical structures such as sections. The two major goals of this study are to find characteristics of authors who are highly cited section-wise and to identify the differences in section-wise author networks. This study uses 29,158 of research articles culled from the ACL Anthology, which hosts articles on computational linguistics and natural language processing. We find that the distribution of citations across sections is skewed and that a different set of highly cited authors share distinct academic characteristics, according to their citation locations. Furthermore, the author networks based on citation context similarity reveal that the intellectual structure of a domain differs across different sections.
    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.8, S.1975-1988
  4. Ho, S.M.; Bieber, M.; Song, M.; Zhang, X.: Seeking beyond with IntegraL : a user study of sense-making enabled by anchor-based virtual integration of library systems (2013) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.9, S.1927-1945
  5. Song, M.; Kim, S.Y.; Zhang, G.; Ding, Y.; Chambers, T.: Productivity and influence in bioinformatics : a bibliometric analysis using PubMed central (2014) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.2, S.352-371
  6. Kim, M.; Baek, I.; Song, M.: Topic diffusion analysis of a weighted citation network in biomedical literature (2018) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 69(2018) no.2, S.329-342
  7. Tang, X.; Yang, C.C.; Song, M.: Understanding the evolution of multiple scientific research domains using a content and network approach (2013) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.5, S.1065-1075
  8. Song, M.; Jeong, Y.K.; Kim, H.J.: Identifying the topology of the K-pop video community on YouTube : a combined co-comment analysis approach (2015) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.12, S.2580-2595
  9. Lee, K.; Kim, S.Y.; Kim, E.H.-J.; Song, M.: Comparative evaluation of bibliometric content networks by tomographic content analysis : an application to Parkinson's disease (2017) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.5, S.1295-1307
  10. Song, M.; Kim, S.Y.; Lee, K.: Ensemble analysis of topical journal ranking in bioinformatics (2017) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.6, S.1564-1583

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