Search (45 results, page 1 of 3)

  • × author_ss:"Ding, Y."
  1. Ding, Y.: Scholarly communication and bibliometrics : Part 1: The scholarly communication model: literature review (1998) 0.02
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    Source
    International forum on information and documentation. 23(1998) no.2, S.20-29
  2. Ding, Y.: Applying weighted PageRank to author citation networks (2011) 0.01
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    Date
    22. 1.2011 13:02:21
    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.2, S.236-245
  3. Song, M.; Kim, S.Y.; Zhang, G.; Ding, Y.; Chambers, T.: Productivity and influence in bioinformatics : a bibliometric analysis using PubMed central (2014) 0.01
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    Date
    29. 1.2014 16:40:41
    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.2, S.352-371
  4. Ding, Y.; Zhang, G.; Chambers, T.; Song, M.; Wang, X.; Zhai, C.: Content-based citation analysis : the next generation of citation analysis (2014) 0.01
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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
  5. Min, C.; Ding, Y.; Li, J.; Bu, Y.; Pei, L.; Sun, J.: Innovation or imitation : the diffusion of citations (2018) 0.01
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    Date
    29. 9.2018 13:24:10
    Source
    Journal of the Association for Information Science and Technology. 69(2018) no.10, S.1271-1282
  6. Liu, M.; Bu, Y.; Chen, C.; Xu, J.; Li, D.; Leng, Y.; Freeman, R.B.; Meyer, E.T.; Yoon, W.; Sung, M.; Jeong, M.; Lee, J.; Kang, J.; Min, C.; Zhai, Y.; Song, M.; Ding, Y.: Pandemics are catalysts of scientific novelty : evidence from COVID-19 (2022) 0.01
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    Abstract
    Scientific novelty drives the efforts to invent new vaccines and solutions during the pandemic. First-time collaboration and international collaboration are two pivotal channels to expand teams' search activities for a broader scope of resources required to address the global challenge, which might facilitate the generation of novel ideas. Our analysis of 98,981 coronavirus papers suggests that scientific novelty measured by the BioBERT model that is pretrained on 29 million PubMed articles, and first-time collaboration increased after the outbreak of COVID-19, and international collaboration witnessed a sudden decrease. During COVID-19, papers with more first-time collaboration were found to be more novel and international collaboration did not hamper novelty as it had done in the normal periods. The findings suggest the necessity of reaching out for distant resources and the importance of maintaining a collaborative scientific community beyond nationalism during a pandemic.
    Source
    Journal of the Association for Information Science and Technology. 73(2022) no.8, S.1065-1078
  7. Ding, Y.; Foo, S.: Ontology research and development : part 1 - a review of ontology generation (2002) 0.00
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    Source
    Journal of information science. 28(2002) no.2, S.123-136
  8. Ding, Y.; Chowdhury, G.C.; Foo, S.: Bibliometric cartography of information retrieval research by using co-word analysis (2001) 0.00
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    Source
    Information processing and management. 37(2001) no.6, S.817-842
  9. Ding, Y.; Chowdhury, G.C.; Foo, S.: Incorporating the results of co-word analyses to increase search variety for information retrieval (2000) 0.00
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    Source
    Journal of information science. 26(2000) no.6, S.429-451
  10. Ding, Y.; Foo, S.: Ontology research and development : part 2 - a review of ontology mapping and evolving (2002) 0.00
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    Source
    Journal of information science. 28(2002) no.3, S.375-388
  11. Ding, Y.: ¬A review of ontologies with the Semantic Web in view (2001) 0.00
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    Source
    Journal of information science. 27(2001) no.?, S.377-384
  12. Ding, Y.; Jacob, E.K.; Fried, M.; Toma, I.; Yan, E.; Foo, S.; Milojevicacute, S.: Upper tag ontology for integrating social tagging data (2010) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.3, S.505-521
  13. Ding, Y.; Chowdhury, G.; Foo, S.: Organsising keywords in a Web search environment : a methodology based on co-word analysis (2000) 0.00
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    Pages
    S.327-332
  14. Ding, Y.; Jacob, E.K.; Zhang, Z.; Foo, S.; Yan, E.; George, N.L.; Guo, L.: Perspectives on social tagging (2009) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.12, S.2388-2401
  15. Zhang, G.; Ding, Y.; Milojevic, S.: Citation content analysis (CCA) : a framework for syntactic and semantic analysis of citation content (2013) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.7, S.1490-1503
  16. Hu, B.; Dong, X.; Zhang, C.; Bowman, T.D.; Ding, Y.; Milojevic, S.; Ni, C.; Yan, E.; Larivière, V.: ¬A lead-lag analysis of the topic evolution patterns for preprints and publications (2015) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.12, S.2643-2656
  17. Yan, E.; Ding, Y.: Weighted citation : an indicator of an article's prestige (2010) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.8, S.1635-1643
  18. Yan, E.; Ding, Y.: Discovering author impact : a PageRank perspective (2011) 0.00
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    Source
    Information processing and management. 47(2011) no.1, S.125-134
  19. Milojevic, S.; Sugimoto, C.R.; Yan, E.; Ding, Y.: ¬The cognitive structure of Library and Information Science : analysis of article title words (2011) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.10, S.1933-1953
  20. Li, D.; Luo, Z.; Ding, Y.; Tang, J.; Sun, G.G.-Z.; Dai, X.; Du, J.; Zhang, J.; Kong, S.: User-level microblogging recommendation incorporating social influence (2017) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.3, S.553-568

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