Literature review and research progress of coal and gas outburst prediction indicators based on CiteSpace

In order to investigate the development and prediction direction of coal and gas outburst prediction indicators, this study takes the scientific papers on coal and gas outburst prediction indicators in CNKI database from 1982 to 2024 as the research object. The CiteSpace software was used to conduct visual analysis of the output, keywords, authors, and institutions in this field. The basic research situation, research hotspots, and research trends in this field in China were the main focuses of the analysis. The research results show that the related research in the field of coal and gas outburst prediction indicators has gone through the stages of active exploration, theoretical foundation, rapid development, and stable development, and is currently in the stable development stage. In the field of coal and gas outburst prediction indicators, the research hotspots mainly focus on coal and gas outbursts, sensitive indicators, critical values, risk assessment, real-time monitoring, multi-factor analysis and so on; the research on coal and gas outburst prediction indicators covers a wide range of fields, and institutional collaboration is very close, but collaboration among authors needs to be strengthened. In addition, the trend of coal and gas outburst prediction indicators will gradually shift towards data-driven prediction model, and towards diversification, intelligence, and precision.

Institutions

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-05-01
DOI
https://doi.org/10.13347/j.cnki.mkaq.20240996
Primary Topic
Mycorrhizal Fungi and Plant Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Literature review and research progress of coal and gas outburst prediction indicators based on CiteSpace

SHILAP Revista de lepidopterología
Mycorrhizal Fungi and Plant Interactions
article

Literature review and research progress of coal and gas outburst prediction indicators based on CiteSpace

article en

Abstract

In order to investigate the development and prediction direction of coal and gas outburst prediction indicators, this study takes the scientific papers on coal and gas outburst prediction indicators in CNKI database from 1982 to 2024 as the research object. The CiteSpace software was used to conduct visual analysis of the output, keywords, authors, and institutions in this field. The basic research situation, research hotspots, and research trends in this field in China were the main focuses of the analysis. The research results show that the related research in the field of coal and gas outburst prediction indicators has gone through the stages of active exploration, theoretical foundation, rapid development, and stable development, and is currently in the stable development stage. In the field of coal and gas outburst prediction indicators, the research hotspots mainly focus on coal and gas outbursts, sensitive indicators, critical values, risk assessment, real-time monitoring, multi-factor analysis and so on; the research on coal and gas outburst prediction indicators covers a wide range of fields, and institutional collaboration is very close, but collaboration among authors needs to be strengthened. In addition, the trend of coal and gas outburst prediction indicators will gradually shift towards data-driven prediction model, and towards diversification, intelligence, and precision.

SHILAP Revista de lepidopterología
Civil Aviation University of China (CN), China Academy of Safety Sciences and Technology (CN), China Automotive Engineering Research Institute (CN), Shaanxi Research Design Institute of Petroleum and Chemical Industry (CN), Shaanxi Yanchang Petroleum (China) (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 46%
Mycorrhizal Fungi and Plant Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Literature review and research progress of coal and gas outburst prediction indicators based on CiteSpace · SHILAP Revista de lepidopterología (2025) | TGRS Research Map | TGRS