Search (4 results, page 1 of 1)

  • × author_ss:"Fang, H."
  • × year_i:[2010 TO 2020}
  1. Fang, H.: ¬A discussion of citations from the perspective of the contribution of the cited paper to the citing paper (2018) 0.04
    0.035609316 = sum of:
      0.02972397 = product of:
        0.11889588 = sum of:
          0.11889588 = weight(_text_:authors in 4453) [ClassicSimilarity], result of:
            0.11889588 = score(doc=4453,freq=8.0), product of:
              0.2360532 = queryWeight, product of:
                4.558814 = idf(docFreq=1258, maxDocs=44218)
                0.05177952 = queryNorm
              0.50368255 = fieldWeight in 4453, product of:
                2.828427 = tf(freq=8.0), with freq of:
                  8.0 = termFreq=8.0
                4.558814 = idf(docFreq=1258, maxDocs=44218)
                0.0390625 = fieldNorm(doc=4453)
        0.25 = coord(1/4)
      0.005885347 = product of:
        0.01765604 = sum of:
          0.01765604 = weight(_text_:h in 4453) [ClassicSimilarity], result of:
            0.01765604 = score(doc=4453,freq=2.0), product of:
              0.12864359 = queryWeight, product of:
                2.4844491 = idf(docFreq=10020, maxDocs=44218)
                0.05177952 = queryNorm
              0.13724773 = fieldWeight in 4453, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                2.4844491 = idf(docFreq=10020, maxDocs=44218)
                0.0390625 = fieldNorm(doc=4453)
        0.33333334 = coord(1/3)
    
    Abstract
    To more reasonably allocate a paper's credit, this article argues that both a paper's authors and references contribute to a given paper. Accordingly, we quantitatively represent the proportion of contributions from each author and reference to a paper. A paper's credit can be allocated among its authors and references based on their contributions. All papers carry innate credit because of publication. If cited, they also carry external credit from the citing papers. The proportion of a paper's credit allocated to references can be regarded as a credit output and serves as an input for these references. In this scenario, only the credit assigned to a paper's authors remains as the paper's deserved credit. The credit of papers can be transferred in a direction opposite that of knowledge diffusion. Via this method, the estimate of an individual reference's contribution incorporates content-based citation analysis, a promising method to differentiate different citations. A paper's deserved credit represents the contribution of the paper's authors to the scientific community via the new knowledge they provide in the paper. Therefore, it is rational to evaluate papers according to their deserved credit, not the credit they carry.
  2. Fang, H.: Classifying research articles in multidisciplinary sciences journals into subject categories (2015) 0.00
    0.0029426734 = product of:
      0.005885347 = sum of:
        0.005885347 = product of:
          0.01765604 = sum of:
            0.01765604 = weight(_text_:h in 2194) [ClassicSimilarity], result of:
              0.01765604 = score(doc=2194,freq=2.0), product of:
                0.12864359 = queryWeight, product of:
                  2.4844491 = idf(docFreq=10020, maxDocs=44218)
                  0.05177952 = queryNorm
                0.13724773 = fieldWeight in 2194, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  2.4844491 = idf(docFreq=10020, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=2194)
          0.33333334 = coord(1/3)
      0.5 = coord(1/2)
    
  3. Liu, X.; Zheng, W.; Fang, H.: ¬An exploration of ranking models and feedback method for related entity finding (2013) 0.00
    0.0029426734 = product of:
      0.005885347 = sum of:
        0.005885347 = product of:
          0.01765604 = sum of:
            0.01765604 = weight(_text_:h in 2714) [ClassicSimilarity], result of:
              0.01765604 = score(doc=2714,freq=2.0), product of:
                0.12864359 = queryWeight, product of:
                  2.4844491 = idf(docFreq=10020, maxDocs=44218)
                  0.05177952 = queryNorm
                0.13724773 = fieldWeight in 2714, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  2.4844491 = idf(docFreq=10020, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=2714)
          0.33333334 = coord(1/3)
      0.5 = coord(1/2)
    
  4. Chen, L.; Fang, H.: ¬An automatic method for ex-tracting innovative ideas based on the Scopus® database (2019) 0.00
    0.0029426734 = product of:
      0.005885347 = sum of:
        0.005885347 = product of:
          0.01765604 = sum of:
            0.01765604 = weight(_text_:h in 5310) [ClassicSimilarity], result of:
              0.01765604 = score(doc=5310,freq=2.0), product of:
                0.12864359 = queryWeight, product of:
                  2.4844491 = idf(docFreq=10020, maxDocs=44218)
                  0.05177952 = queryNorm
                0.13724773 = fieldWeight in 5310, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  2.4844491 = idf(docFreq=10020, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=5310)
          0.33333334 = coord(1/3)
      0.5 = coord(1/2)