Search (3 results, page 1 of 1)

  • × author_ss:"Guan, J."
  • × year_i:[2000 TO 2010}
  1. Ma, N.; Guan, J.; Zhao, Y.: Bringing PageRank to the citation analysis (2008) 0.02 
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    Abstract
    The paper attempts to provide an alternative method for measuring the importance of scientific papers based on the Google's PageRank. The method is a meaningful extension of the common integer counting of citations and is then experimented for bringing PageRank to the citation analysis in a large citation network. It offers a more integrated picture of the publications' influence in a specific field. We firstly calculate the PageRanks of scientific papers. The distributional characteristics and comparison with the traditionally used number of citations are then analyzed in detail. Furthermore, the PageRank is implemented in the evaluation of research influence for several countries in the field of Biochemistry and Molecular Biology during the time period of 2000-2005. Finally, some advantages of bringing PageRank to the citation analysis are concluded.
    Date
    31. 7.2008 14:22:05
    Type
    a
  2. Hu, G.; Zhou, S.; Guan, J.; Hu, X.: Towards effective document clustering : a constrained K-means based approach (2008) 0.00 
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    Abstract
    Document clustering is an important tool for document collection organization and browsing. In real applications, some limited knowledge about cluster membership of a small number of documents is often available, such as some pairs of documents belonging to the same cluster. This kind of prior knowledge can be served as constraints for the clustering process. We integrate the constraints into the trace formulation of the sum of square Euclidean distance function of K-means. Then, the combined criterion function is transformed into trace maximization, which is further optimized by eigen-decomposition. Our experimental evaluation shows that the proposed semi-supervised clustering method can achieve better performance, compared to three existing methods.
    Type
    a
  3. Wang, J.; Guan, J.: ¬The analysis and evaluation of knowledge efficiency in research groups (2005) 0.00 
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    Abstract
    To study the knowledge creation process, we introduce a conceptual framework that captures the major goals and features of research organizations. The knowledge efficiency of research groups is then empirically studied. The budget of the projects and size of the research groups are inputs of the projects. To make the assessment more reasonable, two-dimensional indicators, including a domestic impact factor and an international impact factor, are jointly used to evaluate the research outputs for Chinese research groups through a Data Envelopment Analysis approach with preferences. Through comparisons of groups with the highest and lowest efficiency, we discover the critical factors influencing productivity and efficiency of these research groups based an the proposed framework. Finally, we provide some management suggestions for research groups to improve their knowledge creation efficiency.
    Type
    a

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