Qing’e Sha

1.1k total citations
34 papers, 684 citations indexed

About

Qing’e Sha is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Automotive Engineering. According to data from OpenAlex, Qing’e Sha has authored 34 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Health, Toxicology and Mutagenesis, 25 papers in Atmospheric Science and 21 papers in Automotive Engineering. Recurrent topics in Qing’e Sha's work include Atmospheric chemistry and aerosols (25 papers), Air Quality and Health Impacts (23 papers) and Vehicle emissions and performance (21 papers). Qing’e Sha is often cited by papers focused on Atmospheric chemistry and aerosols (25 papers), Air Quality and Health Impacts (23 papers) and Vehicle emissions and performance (21 papers). Qing’e Sha collaborates with scholars based in China, Netherlands and Hong Kong. Qing’e Sha's co-authors include Junyu Zheng, Zhijiong Huang, Zibing Yuan, Cheng Li, Manni Zhu, Junwen Liu, Fei Yu, Songdi Liao, Jiamin Ou and Guanglin Jia and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Environmental Science & Technology and The Science of The Total Environment.

In The Last Decade

Qing’e Sha

31 papers receiving 677 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qing’e Sha China 14 459 439 262 215 68 34 684
Jianwu Shi China 11 568 1.2× 789 1.8× 233 0.9× 186 0.9× 52 0.8× 44 953
Yufang Hao China 16 587 1.3× 620 1.4× 189 0.7× 309 1.4× 39 0.6× 32 838
Neil Passant United Kingdom 12 582 1.3× 496 1.1× 198 0.8× 233 1.1× 42 0.6× 19 822
Barbara Mathews Poland 14 323 0.7× 511 1.2× 134 0.5× 229 1.1× 63 0.9× 32 661
Eduardo Monteiro Martins Brazil 14 280 0.6× 415 0.9× 158 0.6× 212 1.0× 34 0.5× 42 649
Zhaoxin Dong China 14 568 1.2× 657 1.5× 176 0.7× 375 1.7× 50 0.7× 35 926
Fenfen Zhang China 10 359 0.8× 416 0.9× 119 0.5× 213 1.0× 39 0.6× 19 551
Yuanqian Xu China 10 416 0.9× 382 0.9× 195 0.7× 222 1.0× 29 0.4× 23 577
Zhenzhen Niu China 11 316 0.7× 362 0.8× 86 0.3× 159 0.7× 36 0.5× 20 492
Benjamin Golly France 11 439 1.0× 490 1.1× 154 0.6× 220 1.0× 31 0.5× 16 698

Countries citing papers authored by Qing’e Sha

Since Specialization
Citations

This map shows the geographic impact of Qing’e Sha'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 Qing’e Sha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing’e Sha more than expected).

Fields of papers citing papers by Qing’e Sha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qing’e Sha. 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 Qing’e Sha. The network helps show where Qing’e Sha may publish in the future.

Co-authorship network of co-authors of Qing’e Sha

This figure shows the co-authorship network connecting the top 25 collaborators of Qing’e Sha. A scholar is included among the top collaborators of Qing’e Sha 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 Qing’e Sha. Qing’e Sha 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
2.
Liu, Junwen, Fan Jiang, Gan Zhang, et al.. (2025). Substantial reductions in black carbon from both fossil fuels and biomass burning during China’s Clean Air Action. Proceedings of the National Academy of Sciences. 122(35). e2500843122–e2500843122.
3.
4.
Liao, Songdi, et al.. (2024). Emissions of gaseous nitrous acid (HONO) from diesel trucks: Insights from real-driving emission experiments. The Science of The Total Environment. 954. 176425–176425. 1 indexed citations
5.
Wang, Yuzheng, et al.. (2024). Temporal evolution of speciated volatile organic compound (VOC) emissions from solvent use sources in the Pearl River Delta Region, China (2006–2019). The Science of The Total Environment. 933. 172888–172888. 8 indexed citations
6.
Hu, Mingming, Qing’e Sha, Guanglin Jia, et al.. (2023). Assessing the co-benefits of emission reduction measures in transportation sector: A case study in Guangdong, China. Urban Climate. 51. 101619–101619. 3 indexed citations
7.
8.
Yuan, Zibing, Qing’e Sha, Shengrong Lou, et al.. (2022). Direct identification of total and missing OH reactivities from light-duty gasoline vehicle exhaust in China based on LP-LIF measurement. Journal of Environmental Sciences. 133. 107–117. 2 indexed citations
9.
Yuan, Zibing, et al.. (2022). Measurement-based intermediate volatility organic compound emission inventory from on-road vehicle exhaust in China. Environmental Pollution. 310. 119887–119887. 22 indexed citations
10.
Hu, Yanan, Bowen Shi, Xin Yuan, et al.. (2022). VOC emission caps constrained by air quality targets based on response surface model: A case study in the Pearl River Delta Region, China. Journal of Environmental Sciences. 123. 430–445. 6 indexed citations
11.
Wang, Sihang, Bin Yuan, Caihong Wu, et al.. (2022). Oxygenated volatile organic compounds (VOCs) as significant but varied contributors to VOC emissions from vehicles. Atmospheric chemistry and physics. 22(14). 9703–9720. 42 indexed citations
12.
Tao, Jun, Leiming Zhang, Zhen Zhou, et al.. (2022). Fine particulate pollution driven by nitrate in the moisture urban atmospheric environment in the Pearl River Delta region of south China. Journal of Environmental Management. 326(Pt A). 116704–116704. 10 indexed citations
13.
Jia, Guanglin, Zhijiong Huang, Xiao Tang, et al.. (2022). A meteorologically adjusted ensemble Kalman filter approach for inversing daily emissions: A case study in the Pearl River Delta, China. Journal of Environmental Sciences. 114. 233–248. 3 indexed citations
14.
Li, Yingjie, Zibing Yuan, Hongli Wang, et al.. (2021). Identification of two main origins of intermediate-volatility organic compound emissions from vehicles in China through two-phase simultaneous characterization. Environmental Pollution. 281. 117020–117020. 37 indexed citations
15.
Sha, Qing’e, Manni Zhu, Yuzheng Wang, et al.. (2021). A newly integrated dataset of volatile organic compounds (VOCs) source profiles and implications for the future development of VOCs profiles in China. The Science of The Total Environment. 793. 148348–148348. 118 indexed citations
16.
Li, Cheng, Min Cui, Junyu Zheng, et al.. (2021). Variability in real-world emissions and fuel consumption by diesel construction vehicles and policy implications. The Science of The Total Environment. 786. 147256–147256. 28 indexed citations
17.
Zong, Zheng, Leilei Xiao, Chongguo Tian, et al.. (2020). Insight into the Variability of the Nitrogen Isotope Composition of Vehicular NOx in China. Environmental Science & Technology. 54(22). 14246–14253. 27 indexed citations
18.
Yu, Fei, Cheng Li, Junwen Liu, et al.. (2020). Characterization of particulate smoke and the potential chemical fingerprint of non-road construction equipment exhaust emission in China. The Science of The Total Environment. 723. 137967–137967. 29 indexed citations
19.
Sha, Qing’e, Zhijiong Huang, Zibing Yuan, et al.. (2019). Anthropogenic atmospheric toxic metals emission inventory and its spatial characteristics in Guangdong province, China. The Science of The Total Environment. 670. 1146–1158. 53 indexed citations
20.
Sha, Qing’e, Junyu Zheng, Zibing Yuan, et al.. (2017). Sector-based VOCs emission factors and source profiles for the surface coating industry in the Pearl River Delta region of China. The Science of The Total Environment. 583. 19–28. 91 indexed citations

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