Air quality forecasting with artificial intelligence techniques: A scientometric and content analysis
文献类型：期刊论文
| 作者 | Li, Yanzhao5; Guo, Ju-e5; Sun, Shaolong5; Li, Jianing4; Wang, Shouyang2,3; Zhang, Chengyuan1 |
| 刊名 | ENVIRONMENTAL MODELLING & SOFTWARE
 |
| 出版日期 | 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 |
| WOS记录号 | WOS:000783637900001 |
| 出版者 | ELSEVIER SCI LTD |
| 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. |
入库方式： OAI收割
来源：数学与系统科学研究院
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