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

doi:10.1016/j.envsoft.2022.105329

	Air quality forecasting with artificial intelligence techniques: A scientometric and content analysis
	Li, Yanzhao 5; Guo, Ju-e 5; Sun, Shaolong 5; Li, Jianing 4; Wang, Shouyang 2,3; Zhang, Chengyuan 1
刊名	ENVIRONMENTAL MODELLING & SOFTWARE
	2022-03-01
卷号	149 页码:17
关键词	Air quality forecasting Artificial intelligence Machine learning Scientometrics Content analysis
ISSN号	1364-8152
DOI	10.1016/j.envsoft.2022.105329
英文摘要	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.
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
语种	英语
出版者	ELSEVIER SCI LTD
WOS记录号	WOS:000783637900001
内容类型	期刊论文
源URL	[http://ir.amss.ac.cn/handle/2S8OKBNM/60307]
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.Xidian Univ, Sch Econ & Management, Xian 710071, Peoples R China 2.Chinese Acad Sci, Ctr Forecasting Sci, Beijing 100190, Peoples R China 3.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China 4.Xi An Jiao Tong Univ, Sch Phys, Xian 710049, Peoples R China 5.Xi An Jiao Tong Univ, Sch Management, Xian 710049, 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.