Regression-based Bibliometric Studies Based on Citespace

Abstract

This paper employs CiteSpace software to conduct bibliometric and visualization analyses on the literature related to “regression” from the Web of Science Core Collection, spanning the period from 1975 to 2024, in order to reveal the current research status, hotspots, and trends in the field of regression analysis. The findings indicate that the number of publications in this field has shown a stable growth trend, with close international cooperation, and the United States, China, the United Kingdom, and other countries occupying important positions in this field. Keyword analysis shows that research hotspots include multicollinearity, machine learning, nonparametric regression, quantile regression, etc., and in recent years, the integration of machine learning and regression analysis has become increasingly close and has become a research frontier. This paper provides a comprehensive analysis of the current research status and future research directions for researchers in the field of regression analysis.