Uncovering the characteristics and evolution of inter-provincial knowledge flow in China through Chinese literature citations

Knowledge flow is essential for regional innovation and a critical pathway to building a high-quality innovation system in China. This study constructs an inter-provincial knowledge flow network based on citation relationships in Chinese literature, applies social network analysis to examine the evolution of its characteristics, and employs the Chinese Library Classification number to represent content categories. The results indicate that (1) inter-provincial knowledge flow in China is gradually strengthening, while differences in provincial importance are narrowing and dependence on key provinces is declining; (2) Beijing, Shanghai, Jiangsu, and Hubei remain central in driving knowledge innovation within the network; (3) a core-periphery structure persists, although the number of provinces in the core is decreasing and correlations between the core and peripheral regions are increasing; and (4) the country's leading economic provinces and cultural centers continue to play a prominent role in the output of scientific innovation.

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Publication Details

Journal
PLoS ONE
Published
2025-11-12
DOI
https://doi.org/10.1371/journal.pone.0336249
Primary Topic
scientometrics and bibliometrics research
Type
article
Field-Weighted Citation Impact
0.00

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article

Uncovering the characteristics and evolution of inter-provincial knowledge flow in China through Chinese literature citations

Dan Li, Qianwen Cao
PLoS ONE
scientometrics and bibliometrics research
article

Uncovering the characteristics and evolution of inter-provincial knowledge flow in China through Chinese literature citations

Dan Li, Qianwen Cao
article en

Abstract

Knowledge flow is essential for regional innovation and a critical pathway to building a high-quality innovation system in China. This study constructs an inter-provincial knowledge flow network based on citation relationships in Chinese literature, applies social network analysis to examine the evolution of its characteristics, and employs the Chinese Library Classification number to represent content categories. The results indicate that (1) inter-provincial knowledge flow in China is gradually strengthening, while differences in provincial importance are narrowing and dependence on key provinces is declining; (2) Beijing, Shanghai, Jiangsu, and Hubei remain central in driving knowledge innovation within the network; (3) a core-periphery structure persists, although the number of provinces in the core is decreasing and correlations between the core and peripheral regions are increasing; and (4) the country's leading economic provinces and cultural centers continue to play a prominent role in the output of scientific innovation.

PLoS ONEVol. 20(11)
Shanghai University of Finance and Economics (CN), Zhejiang Gongshang University (CN), Zhejiang University of Finance and Economics (CN)
Department of Education of Zhejiang Province
Openalex Percentile: Top 67%
scientometrics and bibliometrics research
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Uncovering the characteristics and evolution of inter-provincial knowledge flow in China through Chinese literature citations — Dan Li, Qianwen Cao · PLoS ONE (2025) | TGRS Research Map | TGRS