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Citation Count Prediction Using Non-technical Terms in Abstracts · Study

WorkCitation Count Prediction Using Non-technical Terms in Abstracts

Takahiro Baba2018

Work2018

Citation Count Prediction Using Non-technical Terms in Abstracts

Takahiro Baba · Kensuke Baba

5 citations·0/0 files stored·Lecture notes in computer science

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scientometrics and bibliometrics research Advanced Text Analysis Techniques Web visibility and informetrics

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2005An index to quantify an individual's scientific research output 2006The History and Meaning of the Journal Impact Factor 2011Citation count prediction 2016Can Scientific Impact Be Predicted?

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Papers that cite the same references — the relational fallback while embeddings are still backfilling.

2017Big Scholarly Data: A Surveyarticle · 3 shared references n.d.Predicting citation counts based on deep neural network learning techniquesarticle · 3 shared references 2019Predicting Citation Count of Scientists as a Link Prediction Problemarticle · 3 shared references 2021A deep-learning based citation count prediction model with paper metadata semantic featuresarticle · 3 shared references 2014High Impact Academic Paper Prediction Using Temporal and Topological Featuresother · 3 shared references 2019Academic rising star prediction via scholar’s evaluation model and machine learning techniquesarticle · 3 shared references

Details

Year2018

Typeother

Published2018-01-01

VenueLecture notes in computer science

ISSN-L0302-9743

Languageen

Citations5

Files0 public / 0

Shelfscientometrics and bibliometrics research

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doi10.1007/978-3-319-95162-1_25

openalex_workW2810155244

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