Analysis of domestic mine ecological restoration based on CiteSpace scientific knowledge map

Haizhen Hu; Gang Zhou; Sichen Tong

doi:10.1117/12.2626450

16 December 2021 Analysis of domestic mine ecological restoration based on CiteSpace scientific knowledge map

Haizhen Hu, Gang Zhou, Sichen Tong

Proceedings Volume 12153, International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2021); 1215318 (2021) https://doi.org/10.1117/12.2626450
Event: International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2021), 2021, Sanya, China

Abstract

In order to clarify the context of the research progress of ecological restoration in mines, the Citespace bibliometric software was used to analyze the literature data related to this field in the CNKI database in the past 20 years. At the same time, it reveals the development direction and trend in the field of ecological restoration of mines through visual analysis of the amount of articles issued, the organization of the article, the author of the article, and the keywords. The results show that the period from 2001 to 2014 belongs to the low-speed development stage of this field, and the period from 2015 to 2020 belongs to the high-speed development stage; the cooperation relationship between relevant scientific research personnel and institutions is not close enough, and large-scale research has not been formed. The exchanges and cooperation between scientific research institutions and scientific researchers need to be further strengthened; mine ecology, geological environment management, open-pit abandoned mines, mine parks, etc. belong to the hotspots in the field of mine ecological restoration research; whether from the knowledge field or the technical level, the research in this field and policy measures are constantly improving.

Citation Download Citation

Haizhen Hu, Gang Zhou, and Sichen Tong "Analysis of domestic mine ecological restoration based on CiteSpace scientific knowledge map", Proc. SPIE 12153, International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2021), 1215318 (16 December 2021); https://doi.org/10.1117/12.2626450

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KEYWORDS

Mining

Analytical research

Scientific research

Minerals

Environmental management

Environmental sensing

Geology

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