This paper proposes a novel method for predicting long-term citations of a paper based on the number of its citations in the first few years after ...
The empirical experiments show that our proposed method out-performs state-of-the-art methods with respect to the prediction accuracy in both yearly and total ...
The empirical experiments show that our proposed method outperforms state-of-the-art methods with respect to the prediction accuracy in both yearly and total ...
The empirical experiments show that our proposed method outperforms state-of-the-art methods with respect to the prediction accuracy in both yearly and total ...
In this paper, we propose a novel method for predicting long-term citations of a paper based on the number of its citations in the first few years after ...
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The empirical experiments show that our proposed method outperforms state-of-the-art methods with respect to the prediction accuracy in both yearly and total ...
Missing: NNCP: | Show results with:NNCP:
Sep 12, 2018 · In this paper, we propose a novel method for predicting long-term citations of a paper based on the number of its citations in the first few ...
Missing: NNCP: | Show results with:NNCP:
This paper takes the initiative to utilize peer review data for the CCP task with a neural prediction model and incorporates the abstract-review match ...
Citation counts prediction of statistical publications based on multi-layer academic networks via neural network model[Formula presented] · Towards popularity ...
Missing: NNCP: methodology
Nov 3, 2019 · Citation count prediction (CCP) has been an important research task for automatically esti- mating the future impact of a scholarly paper.