Browsing School of Informatics and Computing by Author "Ding, Ying"

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  • Ding, Ying (Journal of the American Society for Information Science and Technology, 2011-02)
    This paper aims to identify whether different weighted PageRank algorithms can be applied to author citation networks to measure the popularity and prestige of a scholar from a citation perspective. Information Retrieval ...
  • Chen, Bin; Ding, Ying; Wild, David J. (PLoS Computational Biology, 2012-07)
    The rapidly increasing amount of public data in chemistry and biology provides new opportunities for large-scale data mining for drug discovery. Systematic integration of these heterogeneous sets and provision of algorithms ...
  • Ding, Ying; Zhu, Qian; Wang, Huijun; Jiao, Dazhi; Dong, Xiao; Chen, Bin; Wild, David J. (BioMed Central, 2010)
    Background: Recently there has been an explosion of new data sources about genes, proteins, genetic variations, chemical compounds, diseases and drugs. Integration of these data sources and the identification of patterns ...
  • Ding, Ying; Wild, David J; Zhu, Qian; Wang, Huijun; Jiao, Dazhi; Dong, Xiao; Chen, Bin (BMC Bioinformatics, 2010-05-17)
    Background: Recently there has been an explosion of new data sources about genes, proteins, genetic variations, chemical compounds, diseases and drugs. Integration of these data sources and the identification of patterns ...
  • Ding, Ying; Yan, Erjia (Information Processing and Management, 2011-01)
    This article provides an alternative perspective for measuring author impact by applying PageRank algorithm to a coauthorship network. A weighted PageRank algorithm considering citation and coauthorship network topology ...
  • Wild, David J.; Qiu, Judy; He, Bing; Dong, Xiao; Tang, Jie; Ding, Ying; Wang, Huijun (PLoS, 2011-03-23)
    The overwhelming amount of available scholarly literature in the life sciences poses significant challenges to scientists wishing to keep up with important developments related to their research, but also provides a useful ...
  • Wild, David J.; Ding, Ying; Chen, Bin (Chemistry Central Ltd., 2012-03-08)
    Background: Systems chemical biology and chemogenomics are considered critical, integrative disciplines in modern biomedical research, but require data mining of large, integrated, heterogeneous datasets from chemistry and ...
  • Wild, David J.; Desai, Pankaj; Qiu, Judy; Moorthy, Ganesh; Chen, Bin; Shin, Jae Hong; Sun, Yuyin; Wang, Huijun; Ding, Ying; Tang, Jie; ... (Public Library of Science, 2011-12-06)
    Much life science and biology research requires an understanding of complex relationships between biological entities (genes, compounds, pathways, diseases, and so on). There is a wealth of data on such relationships in ...
  • Cronin, Blaise; Ding, Ying (Information Processing and Management, 2011-01)
    Citation analysis does not generally take the quality of citations into account: all citations are weighted equally irrespective of source. However, a scholar may be highly cited but not highly regarded: popularity and ...
  • Sugimoto, Cassidy R.; Ding, Ying; Yan, Erjia (Journal of the American Society for Information Science and Technology, 2010-11-29)
    Ranking scientific productivity and prestige are often limited to homogeneous networks. These networks are unable to account for the multiple factors that constitute the scholarly communication and reward system. This study ...
  • Ding, Ying (Journal of Informetrics, 2011-01)
    Scientific collaboration and endorsement are well-established research topics which utilize three kinds of methods: survey/questionnaire, bibliometrics, and complex network analysis. This paper combines topic modeling and ...
  • Wild, David J.; Lajiness, Michael S.; Ding, Ying; Challa, Sashikiran; Sun, Yuyin; Zhu, Qian (BioMed Central Ltd., 2011-06-23)
    Background: Semantic Web Technology (SWT) makes it possible to integrate and search the large volume of life science datasets in the public domain, as demonstrated by well-known linked data projects such as LODD, Bio2RDF, ...
  • Ding, Ying (Journal of Information Science, 2010-06)
    The Semantic Web (SW) is one of the main efforts aiming to enhance human and machine interaction by representing data in an understandable way for machines to mediate data and services. It is a fast-moving and multidisciplinary ...
  • Foo, Schubert; Toma, Ioan; Fried, Michael; Yan, Erjia; Ding, Ying; Jacob, Elin K. (Journal of the American Society for Information Science and Technology, 2010-03)
    Data integration and mediation have become central concerns of information technology over the past few decades. With the advent of the Web and the rapid increases in the amount of data and the number of Web documents and ...
  • Ding, Ying; Yan, Erjia (Journal of the American Society for Information Science and Technology, 2010-08)
    The authors propose using the technique of weighted citation to measure an article's prestige. The technique allocates a different weight to each reference by taking into account the impact of citing journals and citation ...
  • Zhu, Qian; Lajiness, Michael S.; Ding, Ying; Wild, David J. (Chemistry Central, 2010)
    Background: In recent years, there has been a huge increase in the amount of publicly-available and proprietary information pertinent to drug discovery. However, there is a distinct lack of data mining tools available to ...

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