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Danhao Zhu
Nanjing University
3Publications
1H-index
7Citations
Publications 3
Newest
Published on May 1, 2019in Journal of Informetrics3.88
Si Shen1
Estimated H-index: 1
(Nanjing University of Science and Technology),
Danhao Zhu1
Estimated H-index: 1
(NU: Nanjing University)
+ 2 AuthorsDongbo Wang2
Estimated H-index: 2
(NAU: Nanjing Agricultural University)
Abstract We propose a new method for computing the bibliographic coupling strength between two documents. This new method is based on the TF-IDF formula from the field of information retrieval. It is shown that this formula is a valid alternative for the original formula introduced by Kessler and is, from a probabilistic point of view, a correction of the Vladutz-Cook formula. We further define a cosine based similarity formula generalizing the Sen-Gan coupling angle formula.
Published on Dec 1, 2015in Scientometrics2.77
Si Shen3
Estimated H-index: 3
(NU: Nanjing University),
RonaldRousseau38
Estimated H-index: 38
(Katholieke Universiteit Leuven)
+ 3 AuthorsRuilun Liu1
Estimated H-index: 1
(NAU: Nanjing Agricultural University)
This investigation tries to determine if, for highly visible journals, namely Nature, Science and Cell, articles with a short editorial delay time generally, receive more citations than those with a long editorial delay. Based on data for the period from 2005 to 2009, it is found that there is a clear, although statistically weak, tendency for an inverse relation between editorial delay time and number of received citations.
Published on Feb 1, 2012in Scientometrics2.77
Dongbo Wang (NU: Nanjing University), Danhao Zhu1
Estimated H-index: 1
(NU: Nanjing University),
Xinning Su2
Estimated H-index: 2
(NU: Nanjing University)
To better understand the distribution of words in all kinds of syntactic structures, the paper calculates the word distribution in syntactic structures of both English and Chinese. On the basis of the calculation, the article presents the definition of the words' syntactic distribution complexity. After arranging the Chinese and English words according to their own syntactic distribution complexity, respectively, the Lotka phenomenon can be clearly attested by the results. The discovery made in ...
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