Energy storage in power systems: a comprehensive bibliometric analysis

This paper conducts a bibliometric analysis of research trends and hotspots in field of energy storage in power systems based on 7,776 related publications from the Web of Science Core Collection published from 2004 to 2024. First, publication trends and major funding agencies are identified. Then, using CiteSpace software, collaboration network analysis among countries, institutions, and authors is performed to identify active research entities and their collaborative relationships; keywords co-occurrence analysis and literature co-citation analysis are conducted; and scientific knowledge mappings are drawn. Based on the burst analysis, emerging references are presented to indicate future trends in the field. These results can guide researchers studying the fundamental research and frontiers in this field.

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Publication Details

Journal
IET conference proceedings.
Published
2025-03-01
DOI
https://doi.org/10.1049/icp.2025.0761
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.00
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article

Energy storage in power systems: a comprehensive bibliometric analysis

Xiaofei Zhang, Jinxin Hu, Wenrui Guo, Xin Zong et al.
IET conference proceedings.
Power Systems and Renewable Energy
article

Energy storage in power systems: a comprehensive bibliometric analysis

Xiaofei Zhang, Jinxin Hu, Wenrui Guo, Xin Zong, Qiang Jin
article en

Abstract

This paper conducts a bibliometric analysis of research trends and hotspots in field of energy storage in power systems based on 7,776 related publications from the Web of Science Core Collection published from 2004 to 2024. First, publication trends and major funding agencies are identified. Then, using CiteSpace software, collaboration network analysis among countries, institutions, and authors is performed to identify active research entities and their collaborative relationships; keywords co-occurrence analysis and literature co-citation analysis are conducted; and scientific knowledge mappings are drawn. Based on the burst analysis, emerging references are presented to indicate future trends in the field. These results can guide researchers studying the fundamental research and frontiers in this field.

IET conference proceedings.Vol. 2024(33)
State Grid Corporation of China (China) (CN), Energy Research Institute (CN)
Affordable and clean energy
Openalex Percentile: Top 97%
Power Systems and Renewable Energy
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Energy storage in power systems: a comprehensive bibliometric analysis — Xiaofei Zhang, Jinxin Hu, et al. · IET conference proceedings. (2025) | TGRS Research Map | TGRS