A Citation Count Prediction Model Based on Bi-LSTM and Transformer
Author:
Affiliation:
1. City University of Macau, Faculty of Data Science, Macao,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10648986/10649042/10649270.pdf?arnumber=10649270
Reference30 articles.
1. An index to quantify an individual's scientific research output
2. The most influential journals: Impact Factor and Eigenfactor
3. Citation Recommendation as Edge Prediction in Heterogeneous Bibliographic Network: A Network Representation Approach
4. Data-driven predictions in the science of science
5. Identification of highly-cited papers using topic-model-based and bibliometric features: the consideration of keyword popularity
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