Xiaoqi Wang

1.5k total citations
49 papers, 901 citations indexed

About

Xiaoqi Wang is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis and Environmental Engineering. According to data from OpenAlex, Xiaoqi Wang has authored 49 papers receiving a total of 901 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Atmospheric Science, 37 papers in Health, Toxicology and Mutagenesis and 27 papers in Environmental Engineering. Recurrent topics in Xiaoqi Wang's work include Air Quality and Health Impacts (37 papers), Atmospheric chemistry and aerosols (36 papers) and Air Quality Monitoring and Forecasting (26 papers). Xiaoqi Wang is often cited by papers focused on Air Quality and Health Impacts (37 papers), Atmospheric chemistry and aerosols (36 papers) and Air Quality Monitoring and Forecasting (26 papers). Xiaoqi Wang collaborates with scholars based in China, United States and Japan. Xiaoqi Wang's co-authors include Shuiyuan Cheng, Wei Wei, Gang Wang, Wenjiao Duan, Hanyu Zhang, Jianlei Lang, Sen Yao, Wei Wen, Zhe Lv and Sen Yao and has published in prestigious journals such as The Science of The Total Environment, Geophysical Research Letters and Environmental Pollution.

In The Last Decade

Xiaoqi Wang

48 papers receiving 894 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiaoqi Wang China 18 689 641 373 208 193 49 901
Yufang Hao China 16 620 0.9× 587 0.9× 309 0.8× 189 0.9× 104 0.5× 32 838
Liquan Yao China 16 602 0.9× 480 0.7× 285 0.8× 109 0.5× 259 1.3× 29 829
Zhaoxin Dong China 14 657 1.0× 568 0.9× 375 1.0× 176 0.8× 181 0.9× 35 926
Yujie Zhang China 21 807 1.2× 841 1.3× 489 1.3× 182 0.9× 128 0.7× 39 1.2k
N. Kumar Switzerland 10 503 0.7× 536 0.8× 190 0.5× 185 0.9× 154 0.8× 17 771
Lirong Hui China 9 706 1.0× 743 1.2× 438 1.2× 218 1.0× 108 0.6× 14 927
Neil Passant United Kingdom 12 496 0.7× 582 0.9× 233 0.6× 198 1.0× 109 0.6× 19 822
Daocheng Gong China 13 544 0.8× 613 1.0× 305 0.8× 133 0.6× 111 0.6× 41 780
Madeleine Strum United States 14 615 0.9× 573 0.9× 315 0.8× 167 0.8× 210 1.1× 20 915
Huanjia Liu China 16 956 1.4× 736 1.1× 393 1.1× 313 1.5× 223 1.2× 16 1.2k

Countries citing papers authored by Xiaoqi Wang

Since Specialization
Citations

This map shows the geographic impact of Xiaoqi Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xiaoqi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoqi Wang more than expected).

Fields of papers citing papers by Xiaoqi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaoqi Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xiaoqi Wang. The network helps show where Xiaoqi Wang may publish in the future.

Co-authorship network of co-authors of Xiaoqi Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoqi Wang. A scholar is included among the top collaborators of Xiaoqi Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaoqi Wang. Xiaoqi Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yue, Jun, et al.. (2025). A novel HTO@PAN/CS membrane for efficient Li+ recovery from gas field water. Separation and Purification Technology. 362. 131643–131643. 2 indexed citations
2.
Wang, Xiaoqi, et al.. (2024). Provenance composition and evolution of marine black shales in the Yangtze platform from Ediacaran to Silurian. Marine and Petroleum Geology. 167. 107003–107003. 1 indexed citations
3.
Potter, Henry, et al.. (2024). An empirical study of the influences of gustiness on vertical mixing at the air-sea boundary. npj Climate and Atmospheric Science. 7(1). 2 indexed citations
4.
Potter, Henry, et al.. (2023). The Impacts of Gustiness on the Evolution of Surface Gravity Waves. Geophysical Research Letters. 50(12). 4 indexed citations
5.
Chen, Kang, Wei Wei, Chunyan Zhou, et al.. (2023). Spatiotemporal mapping of atmospheric aldehydes over Beijing in summer during 2019–2021 via their source apportionment study. Atmospheric Research. 288. 106723–106723. 4 indexed citations
6.
Zhang, Man, et al.. (2023). A 3D Spatial Diagnostic Framework of Sustainable Historic and Cultural District Preservation: A Case Study in Henan, China. Buildings. 13(5). 1344–1344. 10 indexed citations
7.
Duan, Wenjiao, et al.. (2023). A new scheme of PM2.5 and O3 control strategies with the integration of SOM, GA and WRF-CAMx. Journal of Environmental Sciences. 138. 249–265. 11 indexed citations
8.
Lv, Zhe, Xiaoqi Wang, Wei Wei, et al.. (2022). Aerosol-radiation interaction and its variation in North China within 2015–2019 period under continuous PM2.5 improvements. Journal of Environmental Sciences. 136. 81–94. 2 indexed citations
9.
Wang, Kai, et al.. (2022). National emissions inventory and future trends in greenhouse gases and other air pollutants from civil airports in China. Environmental Science and Pollution Research. 29(54). 81703–81712. 12 indexed citations
10.
11.
Wang, Xiaoqi, et al.. (2021). Evaluation of continuous emission reduction effect on PM2.5 pollution improvement through 2013–2018 in Beijing. Atmospheric Pollution Research. 12(5). 101055–101055. 8 indexed citations
12.
Wang, Xiaoqi, et al.. (2020). Temporal and spatial characteristics of PM2.5 transport fluxes of typical inland and coastal cities in China. Journal of Environmental Sciences. 103. 229–245. 17 indexed citations
13.
14.
Lv, Zhe, et al.. (2020). Meteorological characteristics within boundary layer and its influence on PM2.5 pollution in six cities of North China based on WRF-Chem. Atmospheric Environment. 228. 117417–117417. 29 indexed citations
15.
Wang, Xiaoqi, Wei Wei, Shuiyuan Cheng, Hanyu Zhang, & Sen Yao. (2019). Source estimation of SO42− and NO3− based on monitoring-modeling approach during winter and summer seasons in Beijing and Tangshan, China. Atmospheric Environment. 214. 116849–116849. 6 indexed citations
16.
Zhang, Hanyu, Shuiyuan Cheng, Jianbing Li, Sen Yao, & Xiaoqi Wang. (2018). Investigating the aerosol mass and chemical components characteristics and feedback effects on the meteorological factors in the Beijing-Tianjin-Hebei region, China. Environmental Pollution. 244. 495–502. 63 indexed citations
17.
Cheng, Long, et al.. (2018). Effect of ammonia emission from agriculture in Beijing-Tianjin-Hebei on PM2.5.. China Environmental Science. 38(4). 1579–1588. 1 indexed citations
18.
Wen, Wei, Xiaodong He, Xin Ma, et al.. (2018). Understanding the Regional Transport Contributions of Primary and Secondary PM2.5 Components over Beijing during a Severe Pollution Episodes. Aerosol and Air Quality Research. 18(7). 1720–1733. 20 indexed citations
19.
Wang, Gang, Shuiyuan Cheng, Wei Wei, et al.. (2017). Characteristics and emission-reduction measures evaluation of PM 2.5 during the two major events: APEC and Parade. The Science of The Total Environment. 595. 81–92. 78 indexed citations
20.
Zhou, Ying, Shuiyuan Cheng, Dongsheng Chen, et al.. (2015). Temporal and Spatial Characteristics of Ambient Air Quality in Beijing, China. Aerosol and Air Quality Research. 15(5). 1868–1880. 46 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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