Air quality forecasting with artificial intelligence techniques: A scientometric and content analysis

doi:10.1016/j.envsoft.2022.105329

CSpace

	Air quality forecasting with artificial intelligence techniques: A scientometric and content analysis
	Li, Yanzhao 1; Guo, Ju-e 1; Sun, Shaolong 1; Li, Jianing 2; Wang, Shouyang 3,4; Zhang, Chengyuan 5
	2022-03-01
发表期刊	ENVIRONMENTAL MODELLING & SOFTWARE
ISSN	1364-8152
卷号	149 页码:17
摘要	Artificial intelligence (AI) techniques have substantially changed the research paradigm in the field of air quality forecasting due to their powerful performance. Considering the improvement in the availability of air quality data and the rapid proliferation of AI techniques, it is necessary to comprehensively and quantitatively review the development of air quality forecasting with AI techniques during the last two decades (2000-2019) by scientometric and content analysis. First, an overview of the relevant countries, institutions, authors, journals, and papers is presented. Then, the research hotspots and frontier evolution are explored by adopting reference co citation analysis and keyword co-occurrence analysis. Furthermore, this study conducts a content analysis to investigate current topical interests to identify research gaps and propose future research directions. The analytical framework and the findings provide helpful insights into the prospects in air quality forecasting with AI techniques.
关键词	Air quality forecasting Artificial intelligence Machine learning Scientometrics Content analysis
DOI	10.1016/j.envsoft.2022.105329
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[71774130] ; National Natural Science Foundation of China[72101197] ; National Natural Science Foundation of China[71988101] ; Fundamental Research Funds for the Central Universities[SK2021007]
WOS研究方向	Computer Science ; Engineering ; Environmental Sciences & Ecology ; Water Resources
WOS类目	Computer Science, Interdisciplinary Applications ; Engineering, Environmental ; Environmental Sciences ; Water Resources
WOS记录号	WOS:000783637900001
出版者	ELSEVIER SCI LTD
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/60308
专题	中国科学院数学与系统科学研究院
通讯作者	Zhang, Chengyuan
作者单位	1.Xi An Jiao Tong Univ, Sch Management, Xian 710049, Peoples R China 2.Xi An Jiao Tong Univ, Sch Phys, Xian 710049, Peoples R China 3.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China 4.Chinese Acad Sci, Ctr Forecasting Sci, Beijing 100190, Peoples R China 5.Xidian Univ, Sch Econ & Management, Xian 710071, Peoples R China
推荐引用方式 GB/T 7714	Li, Yanzhao,Guo, Ju-e,Sun, Shaolong,et al. Air quality forecasting with artificial intelligence techniques: A scientometric and content analysis[J]. ENVIRONMENTAL MODELLING & SOFTWARE,2022,149:17.
APA	Li, Yanzhao,Guo, Ju-e,Sun, Shaolong,Li, Jianing,Wang, Shouyang,&Zhang, Chengyuan.(2022).Air quality forecasting with artificial intelligence techniques: A scientometric and content analysis.ENVIRONMENTAL MODELLING & SOFTWARE,149,17.
MLA	Li, Yanzhao,et al."Air quality forecasting with artificial intelligence techniques: A scientometric and content analysis".ENVIRONMENTAL MODELLING & SOFTWARE 149(2022):17.