Ying Ding

Publications169
h-index41
Citations6,287
Highly Influential Citations309
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Bibliometric cartography of information retrieval research by using co-word analysis
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Applying centrality measures to impact analysis: A coauthorship network analysis
  • E. Yan, Ying Ding
  • Computer Science
    J. Assoc. Inf. Sci. Technol.
  • 1 October 2009
TLDR
It is found that the four centrality measures are significantly correlated with citation counts and it is suggested thatcentrality measures can be useful indicators for impact analysis.
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Scientific collaboration and endorsement: Network analysis of coauthorship and citation networks
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PageRank for ranking authors in co-citation networks
TLDR
It is found that in the author co-citation network, citation rank is highly correlated with PageRank with different damping factors and also with different weighted PageRank algorithms; citation rank and PageRank are not significantly correlated with centrality measures; and h-index rank does not significantly correlate with centraly measures but does significantly correlates with other measures.
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Applying weighted PageRank to author citation networks
  • Ying Ding
  • Computer Science
    J. Assoc. Inf. Sci. Technol.
  • 1 February 2011
TLDR
Results indicate that both popularity rank and prestige rank were highly correlated with the weighted PageRank, and for capturing prize winners within the IR field, prestige rank outperformed all the other measures.
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Assessing Drug Target Association Using Semantic Linked Data
TLDR
A statistical model to assess the association of drug target pairs based on their relation with other linked objects is developed, providing a novel, validated alternative to existing drug target prediction algorithms.
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P-Rank: An indicator measuring prestige in heterogeneous scholarly networks
TLDR
This work proposes a new informetric indicator, P-Rank, for measuring prestige in heterogeneous scholarly networks containing articles, authors, and journals and provides a new approach to examining prestige in scholarly communication networks in a more comprehensive and nuanced way.
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The distribution of references across texts: Some implications for citation analysis
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Topic-based PageRank on author cocitation networks
  • Ying Ding
  • Computer Science
    J. Assoc. Inf. Sci. Technol.
  • 1 March 2011
TLDR
This paper proposes topic-dependent ranks based on the combination of a topic model and a weighted PageRank algorithm, using the author-conference-topic model to extract topic distribution of individual authors.
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The cognitive structure of Library and Information Science: Analysis of article title words
TLDR
It is found that cognitive concepts in LIS evolve continuously, with no stasis since 1992, and is found to be driven by the emergence of new information technologies, and the retirement of old ones.
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