Research hotspots and cutting-edge analysis of geological big data and artificial intelligence based on CiteSpace

doi:10.13745/j.esf.sf.2024.5.10

Abstract

Abstract:

To investigate the current status, hotspots, and frontiers of big data and artificial intelligence research in the field of geology, this study conducts literature screening of relevant research publications between 2000-2022 using China National Knowledge Infrastructure (CNKI) and Web of Science (WoS) core databases. A total of 3600 Chinese and 1803 English articles are collected, and community structure analysis software CiteSpace is used for visual analysis of cooperation authors, research countries/institutions, keyword clustering, and keyword spatiotemporal distribution maps. Furthermore, a stochastic frontier analysis correction is conducted on publications by international top-tier geoscience journals (comprehensive impact factor ≥10) between 2021-2022. The global cumulative publication volume in this research field had surged in the past decade, led by Asian countries represented by China and European/American countries represented by the United States, with China and the United States showing no significant differences, and the betweenness centrality measures generally higher for European/American countries than for Asian countries. In China, research collaborations were mostly among domestic institutions and relatively rare with foreign research institutions, whilst the opposite was true in foreign countries. The research hotspots in this field were geological disaster prevention and control, earthquake interpretation, petroleum and natural gas exploration, and solid mineral resource prediction using machine learning and knowledge graphs. Research frontiers included significant geological events during Earth’s evolution, global climate change, polar and marine geology, digital geological modeling and quantitative analysis, earthquake prediction, and accurate assessment of geological disaster susceptibility by means of deep learning, integrated learning, and intelligent platform.

Key words: geological big data, artificial intelligence, knowledge graph, CiteSpace, community discovery, visualization

CLC Number:

P628
TP18

ZHU Biaobiao, CAO Wei, YU Pengpeng, ZHANG Qianlong, GUO Lanxuan, YUAN Guiqiang, HAN Feng, WANG Hanyu, ZHOU Yongzhang. Research hotspots and cutting-edge analysis of geological big data and artificial intelligence based on CiteSpace[J]. Earth Science Frontiers, 2024, 31(4): 73-86.

Figures/Tables 19

References 31

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检索相关项	CNKI	Web of Science
检索词	大数据,人工智能,机器学习,深度学习,神经网络,关联规则,推荐系统,贝叶斯算法,卷积神经网络,随机森林,知识图谱,CiteSpace,支持向量机,Python,多源异构数据,社区发现,本体模型	Big data, Artificial Intelligence, Machine Learning, Deep Learning, Neural Network, Association Rule, Recommendation System, Bayesian Algorithm, Convolutional Neural Network, Random Forest, Knowledge Graph, CiteSpace, Support Vector Machine, Python, Heterogeneous data from multiple sources, Community Detection, Ontology Model
期刊	SCI、EI、CSSCI、北大核心、CSCD和AMI	核心合集
检索方式	主题检索	主题检索
检索年限	2000—2022年	2000—2022年
检索领域	地质学、地球物理与地球化学、矿床学、地质灾害	Geosciences,Multidisciplinary,Geochemistry,Geology,Mining,Mineral Processing,Mineralogy,Geography Physical
有效论文数量(篇)	3 600	1 803

检索相关项	CNKI	Web of Science
检索词	大数据,人工智能,机器学习,深度学习,神经网络,关联规则,推荐系统,贝叶斯算法,卷积神经网络,随机森林,知识图谱,CiteSpace,支持向量机,Python,多源异构数据,社区发现,本体模型	Big data, Artificial Intelligence, Machine Learning, Deep Learning, Neural Network, Association Rule, Recommendation System, Bayesian Algorithm, Convolutional Neural Network, Random Forest, Knowledge Graph, CiteSpace, Support Vector Machine, Python, Heterogeneous data from multiple sources, Community Detection, Ontology Model
期刊	SCI、EI、CSSCI、北大核心、CSCD和AMI	核心合集
检索方式	主题检索	主题检索
检索年限	2000—2022年	2000—2022年
检索领域	地质学、地球物理与地球化学、矿床学、地质灾害	Geosciences,Multidisciplinary,Geochemistry,Geology,Mining,Mineral Processing,Mineralogy,Geography Physical
有效论文数量(篇)	3 600	1 803

期刊名	发文数量	2022年影响因子	中科大分区
Ore Geology Reviews	138	3.71	地球科学2区
Journal of Geochemical Exploration	83	4.17	地球科学2区
Minerals	67	2.82	地球科学3区
Natural Resources Research	60	5.61	地球科学:综合3区
Computers Geosciences	59	5.17	地球科学:综合2区
Acta Petrologica Sinica	53	1.47	地球科学3区
Geochemistry Exploration Environment Analysis	49	2.27	地球科学4区
Lithos	45	4	地球科学2区
Economic Geology	44	5.08	地球科学1区TOP
Applied Geochemistry	43	3.84	地球科学3区

期刊名	发文数量	2022年影响因子	中科大分区
Ore Geology Reviews	138	3.71	地球科学2区
Journal of Geochemical Exploration	83	4.17	地球科学2区
Minerals	67	2.82	地球科学3区
Natural Resources Research	60	5.61	地球科学:综合3区
Computers Geosciences	59	5.17	地球科学:综合2区
Acta Petrologica Sinica	53	1.47	地球科学3区
Geochemistry Exploration Environment Analysis	49	2.27	地球科学4区
Lithos	45	4	地球科学2区
Economic Geology	44	5.08	地球科学1区TOP
Applied Geochemistry	43	3.84	地球科学3区

机构名称	发文量
China University of Geosciences	132
Chinese Academy of Sciences	88
UDICE-French Research Universities	81
Centre National de la Recherche Scientifique (CNRS)	78
Helmholtz Association	65
University of California System	62
Istituto Nazionale Geofisica e Vulcanologia (INGV)	62
United States Department of Energy (DOE)	53
Helmholtz-Center Potsdam GFZ German Research Center for Geosciences	42
Institut de Recherche pour le Developpement (IRD)	40
China Earthquake Administration	39
Communaute Universite Grenoble Alpes	37
Sun Yat-sen University	35
University of Chinese Academy of Sciences	34
Indian Institute of Technology System (IIT System)	34
Universite Grenoble Alpes (UGA)	33
Institute of Geology & Geophysics	32
Universite Gustave-Eiffel	30
JiLin University	30