2021
DOI: 10.3390/land10070711
|View full text |Cite
|
Sign up to set email alerts
|

Web of Science-Based Green Infrastructure: A Bibliometric Analysis in CiteSpace

Abstract: Many cities worldwide are using re-greening strategies to help reverse urbanization patterns that aggravate environmental issues. Green infrastructure (GI) has become a significant and effective strategy to address environmental problems. To better understand GI, this study uses CiteSpace to analyze 5420 published papers in the field of GI on the Web of Science database from 1990–2020. This bibliometric analysis will help new scholars and researchers to better understand the current status and trends in GI res… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
20
0
2

Year Published

2022
2022
2024
2024

Publication Types

Select...
6
2

Relationship

0
8

Authors

Journals

citations
Cited by 38 publications
(29 citation statements)
references
References 64 publications
0
20
0
2
Order By: Relevance
“…WOS Core Collection (formerly Institute for Scientific Information Web of Knowledge) is the most used and authoritative research literature search engine, providing comprehensive coverage of key research outputs from around the world. It is a multidisciplinary database with more than 100 subjects, including the major sciences, arts, humanities, and social sciences (e.g., political science, architecture, and philosophy) ( Shao et al, 2021 ).…”
Section: Methodsmentioning
confidence: 99%
“…WOS Core Collection (formerly Institute for Scientific Information Web of Knowledge) is the most used and authoritative research literature search engine, providing comprehensive coverage of key research outputs from around the world. It is a multidisciplinary database with more than 100 subjects, including the major sciences, arts, humanities, and social sciences (e.g., political science, architecture, and philosophy) ( Shao et al, 2021 ).…”
Section: Methodsmentioning
confidence: 99%
“…We searched for research publications published in peer-reviewed journals in English from 1990 to 2021, available from the ISI Web of Science databases using the following search keywords [39][40][41]: term1: urban heat island (UHI) OR urban thermal environment (UTE) OR land surface temperature (LST) AND term2(1-6): term21-green infrastructure (GI) OR term22-urban parks (UPS) OR term23-urban forests (UFS) OR term24-green streets OR street trees (UTS) OR term25-green roofs OR eco-roof OR living roof OR vegetate roof OR roof garden OR roof greening (GR) OR term26-green wall OR vertical greenery system OR green facades (GW) AND term3: ecosystem services(ESS) OR benefits OR values. We searched term1 and term2(1-6) and term3 six times separately, and downloaded the six different databases from WOS for the historical review analysis of GI types.…”
Section: Methodsmentioning
confidence: 99%
“…This study aims to provide a comprehensive review of the effects of five different GI types in mitigating UHI effects in studies from 1990 to 2021 based on the Web of Science, by using CiteSpace to analyze and visualize the research status, trends, and hotspots, and to determine the overall state of research [37][38][39]. Thereafter, a statistical summary and review are presented of the functions, regulating system service, benefits, and value of different GI types in mitigating UHI.…”
Section: Introductionmentioning
confidence: 99%
“…By being analyzed by Cite Space software, relevant studies have increased significantly since 2017, showing a trend of rapid increase, and have maintained annual growth since then ( Figure 7 ). Simultaneously, after further clustering analysis of keyword networks, 10 clusters were obtained, among which 8 clusters were considered suitable for clustering (Sihouette > 0.7, and modularity was between 0.4 and 0.8) [ 42 ]. The clustering results show that the study of urban flood resilience covers a wide range of fields, and there are certain correlations within the same subject.…”
Section: Scientometric Analysismentioning
confidence: 99%