Scientific Literature Ranking Considering Latent Citations

Se-Mi Hwang, Duck-Ho Bae, Sang-Wook Kim
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Abstract

In this paper, to solve a vested interests of old papers in scientific literature ranking, we propose novel method that considers not only the current citations from other published papers but also the latent citations of papers to be published in the future. Furthermore, the method also considers the relevance of contents in the citing and cited papers. Finally, we verify the superiority of our proposed method through extensive experiments.
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考虑潜在引用的科学文献排名
为了解决老论文在科学文献排名中的既得利益问题,我们提出了一种新的方法,既考虑其他已发表论文的当前被引率,又考虑未来将要发表的论文的潜在被引率。此外,该方法还考虑了被引论文和被引论文内容的相关性。最后,通过大量的实验验证了所提方法的优越性。
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