Xu Dao

740 total citations
30 papers, 531 citations indexed

About

Xu Dao is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis and Environmental Engineering. According to data from OpenAlex, Xu Dao has authored 30 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Atmospheric Science, 20 papers in Health, Toxicology and Mutagenesis and 9 papers in Environmental Engineering. Recurrent topics in Xu Dao's work include Atmospheric chemistry and aerosols (22 papers), Air Quality and Health Impacts (19 papers) and Air Quality Monitoring and Forecasting (9 papers). Xu Dao is often cited by papers focused on Atmospheric chemistry and aerosols (22 papers), Air Quality and Health Impacts (19 papers) and Air Quality Monitoring and Forecasting (9 papers). Xu Dao collaborates with scholars based in China, United States and Hong Kong. Xu Dao's co-authors include Yonghui Yang, Feng Zhou, Huaicheng Guo, Hui Liu, Sheng Hu, Yanlin Zhang, Fang Cao, Yu‐Chi Lin, Yele Sun and Pingqing Fu and has published in prestigious journals such as Nature Communications, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Xu Dao

27 papers receiving 524 citations

Peers

Xu Dao
R. Tsitouridou Greece
Stephen Vermette United States
Daniela Montanari Migliavacca Osório Brazil
Ágnes Keresztesi Romania
Éric Gardrat France
Yuwen Niu China
Yi-Tang Huang Taiwan
Di Chang China
Junhua Yang China
Rosana Astolfo Brazil
R. Tsitouridou Greece
Xu Dao
Citations per year, relative to Xu Dao Xu Dao (= 1×) peers R. Tsitouridou

Countries citing papers authored by Xu Dao

Since Specialization
Citations

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

Fields of papers citing papers by Xu Dao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xu Dao. 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 Xu Dao. The network helps show where Xu Dao may publish in the future.

Co-authorship network of co-authors of Xu Dao

This figure shows the co-authorship network connecting the top 25 collaborators of Xu Dao. A scholar is included among the top collaborators of Xu Dao 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 Xu Dao. Xu Dao 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.
Du, Huiyun, Jie Li, Gabriele Curci, et al.. (2025). Modeling simulation of aerosol light absorption over the Beijing–Tianjin–Hebei region: the impact of mixing state and aging processes. Atmospheric chemistry and physics. 25(11). 5665–5681. 1 indexed citations
2.
Ding, Ning, Xiao Tang, Huangjian Wu, et al.. (2024). Development of an integrated machine learning model to improve the secondary inorganic aerosol simulation over the Beijing–Tianjin–Hebei region. Atmospheric Environment. 327. 120483–120483. 1 indexed citations
3.
Chen, Qi, Ruqian Miao, Guannan Geng, et al.. (2024). Widespread 2013-2020 decreases and reduction challenges of organic aerosol in China. Nature Communications. 15(1). 4465–4465. 22 indexed citations
4.
Wu, Jing, Yulong Yan, Fangyuan Wang, et al.. (2023). Characteristics of volatile organic compounds in 11 cities along Taihang Mountain, an industrial region in Northern China. Atmospheric Pollution Research. 14(3). 101693–101693. 2 indexed citations
5.
6.
Lian, Xiufeng, Guigang Tang, Xu Dao, et al.. (2022). Seasonal variations of imidazoles in urban areas of Beijing and Guangzhou, China by single particle mass spectrometry. The Science of The Total Environment. 844. 156995–156995. 2 indexed citations
7.
Wu, Zhijun, Dongjie Shang, Shiyi Chen, et al.. (2022). Historically understanding the spatial distributions of particle surface area concentrations over China estimated using a non-parametric machine learning method. The Science of The Total Environment. 824. 153849–153849. 2 indexed citations
8.
Yang, Wenyi, Huiyun Du, Zifa Wang, et al.. (2021). Characteristics of regional transport during two-year wintertime haze episodes in North China megacities. Atmospheric Research. 257. 105582–105582. 10 indexed citations
9.
Zhang, Zirui, Min Hu, Dongjie Shang, et al.. (2021). The evolution trend and typical process characteristics of atmospheric PM<sub>2.5</sub> and O<sub>3</sub> pollution in Beijing from 2013 to 2020. Chinese Science Bulletin (Chinese Version). 67(18). 1995–2007. 3 indexed citations
10.
Dao, Xu, Dongsheng Ji, Xian Zhang, et al.. (2021). Characteristics, sources and health risk assessment of PM2.5 in China's coal and coking heartland: Insights gained from the regional observations during the heating season. Atmospheric Pollution Research. 12(12). 101237–101237. 14 indexed citations
11.
Zhu, Jian, Shanshan Wang, Xu Dao, et al.. (2021). Comparative observation of aerosol vertical profiles in urban and suburban areas: Impacts of local and regional transport. The Science of The Total Environment. 805. 150363–150363. 10 indexed citations
12.
Wu, Zhijun, Dongjie Shang, Zirui Zhang, et al.. (2021). The temporal and spatial distribution of the correlation between PM<sub>2.5</sub> and O<sub>3</sub> contractions in the urban atmosphere of China. Chinese Science Bulletin (Chinese Version). 67(18). 2008–2017. 6 indexed citations
13.
Dao, Xu, Meng Gao, Yu‐Chi Lin, et al.. (2021). Nitrogen isotope characteristics and source apportionment of atmospheric ammonium in urban cities during a haze event in Northern China Plain. Atmospheric Environment. 269. 118800–118800. 23 indexed citations
14.
Dao, Xu, Xian Zhang, Li Wang, et al.. (2021). Composition and sources of particulate matter in the Beijing-Tianjin-Hebei region and its surrounding areas during the heating season. Chemosphere. 291(Pt 1). 132779–132779. 19 indexed citations
15.
Dao, Xu, Yu‐Chi Lin, Fang Cao, et al.. (2020). Urban Haze in the North China Plain: Obervations from NACMON. Bulletin of the American Meteorological Society. 101(1). 53–58. 1 indexed citations
16.
Dao, Xu, Yu‐Chi Lin, Fang Cao, et al.. (2019). Introduction to the National Aerosol Chemical Composition Monitoring Network of China: Objectives, Current Status, and Outlook. Bulletin of the American Meteorological Society. 100(12). ES337–ES351. 43 indexed citations
17.
Zhang, Ting, Yixiang Zhang, Zhenyu Du, et al.. (2019). Determination of 104 volatile organic compounds in air by double column gas chromatography-mass spectrometry/flame ionization detector coupled with electronically controlled cryo-focusing unit. Chinese Journal of Chromatography. 37(4). 418–418. 2 indexed citations
18.
Dao, Xu, et al.. (2014). Determination of hexavalent chromium in atmospheric particles PM 2.5 and PM 10 by ion chromatography with inductively coupled plasma mass spectrometry. Chinese Journal of Chromatography. 32(9). 936–936. 2 indexed citations
19.
Yang, Yonghui, Feng Zhou, Huaicheng Guo, et al.. (2009). Analysis of spatial and temporal water pollution patterns in Lake Dianchi using multivariate statistical methods. Environmental Monitoring and Assessment. 170(1-4). 407–416. 134 indexed citations
20.
Dao, Xu. (2001). Analysis of Frame Lateral Displacement Using Continuum Model. Journal of Hehai University.

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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