Citation impact prediction for scientific papers using stepwise regression analysisYu Tian, Guang Yu, Pengyu Li, Liang Wang2014-03-29articleScientometrics152 citationsclosedNo readable copy stored yet — this record is metadata only.scientometrics and bibliometrics researchPsychology Research and BibliometricsWeb visibility and informetricsAbstractNo abstract was published for this record.Citations in this libraryStored only when both papers are in the corpus — 152 citations exist upstream.References1998Social Capital: Its Origins and Applications in Modern Sociology1968The Matthew Effect in Science1968The Matthew effect in science. The reward and communication systems of science are considered.1980Citation Indexing-Its Theory and Application in Science, Technology, and Humanities2008Universality of citation distributions: Toward an objective measure of scientific impact2010Measuring contextual citation impact of scientific journals1982Multivariate tests of financial models2003Characteristics of highly cited papersCited by2020Predicting the citation counts of individual papers via a BP neural network2019Predicting the citations of scholarly papern.d.Predicting citation counts based on deep neural network learning techniques2019Predicting citation counts based on deep neural network learning techniques2015Predicting the long-term citation impact of recent publications2021Early indicators of scientific impact: Predicting citations with altmetrics2016Skewness of citation impact data and covariates of citation distributions: A large-scale empirical analysis based on Web of Science data2016The discretised lognormal and hooked power law distributions for complete citation data: Best options for modelling and regression