A visual knowledge map analysis of coal mine intensity based on CiteSpace software and web of science core database

ABSTRACT

The research on coal mining intensity provides a basis for rational coal resource extraction and mine ecological environment source protection. This study uses the 815 publications and based on CiteSpace’s visualisation software, takes the authors, institutions, and keywords as the nodes, and constructs the related knowledge graph through keyword co-occurrence and other methods. China ranks first in the world in this field; the current research mainly focuses on coal and gas protrusion, carbon dioxide emission, etc.; future research on coal mining intensity should focus on high-intensity mining, factors affecting coal mining intensity, and mining disturbance.

KEYWORDS:

• CiteSpace
• coal mining intensity
• knowledge mapping
• visual analysis

Acknowledgments

We appreciate the comments and suggestions from anonymous reviewers.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Author contribution

Jiaqi Wang: Conceptualisation, writing – original draft, data curation, analysis results. Yanli Huang: Conceptualisation, methodology, supervision. Junmeng Li: Data curation, formal analysis. Mohammad Waqar Ali Asad: Conceptualisation, methodology. Ping Chang: Supervision, validation.

Consent for publication

Written informed consent for publication was obtained from all participants.

Data availability statement

The data used in this paper are available from the corresponding author upon reasonable request.

Additional information

Funding

This work was supported by the National Natural Science Foundation of China [Nos. 52104103, 52022107, 52174128] and the Natural Science Foundation of Jiangsu Province [Nos. BK20210499, BK20190031], and Jiaqi Wang acknowledges the support of the China Scholarship Council Programme [202306420045].