Xingcan Jia

1.1k total citations
37 papers, 766 citations indexed

About

Xingcan Jia is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Xingcan Jia has authored 37 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Atmospheric Science, 30 papers in Global and Planetary Change and 14 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Xingcan Jia's work include Atmospheric chemistry and aerosols (29 papers), Atmospheric aerosols and clouds (28 papers) and Air Quality and Health Impacts (14 papers). Xingcan Jia is often cited by papers focused on Atmospheric chemistry and aerosols (29 papers), Atmospheric aerosols and clouds (28 papers) and Air Quality and Health Impacts (14 papers). Xingcan Jia collaborates with scholars based in China, United States and Iran. Xingcan Jia's co-authors include Yangang Liu, Jiannong Quan, Quan Liu, Xia Li, Chunsong Lu, Shengjie Niu, Yang Gao, Xiaoli Liu, Jiujiang Sheng and Zifa Wang and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and Geophysical Research Letters.

In The Last Decade

Xingcan Jia

35 papers receiving 747 citations

Peers

Xingcan Jia
M. Martin Germany
Myungje Choi South Korea
Shuo Ding China
J.S. Scire United States
Wei You China
Xingcan Jia
Citations per year, relative to Xingcan Jia Xingcan Jia (= 1×) peers Pengfei Tian

Countries citing papers authored by Xingcan Jia

Since Specialization
Citations

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

Fields of papers citing papers by Xingcan Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingcan Jia

This figure shows the co-authorship network connecting the top 25 collaborators of Xingcan Jia. A scholar is included among the top collaborators of Xingcan Jia 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 Xingcan Jia. Xingcan Jia 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.
Quan, Jiannong, Pengkun Ma, Chaofan Lian, et al.. (2024). Strong upwards transport of HONO in daytime over urban area of Beijing, China. The Science of The Total Environment. 951. 175590–175590. 1 indexed citations
2.
Wang, Yongli, et al.. (2024). Mid-resolution regional terrestrial water storage simulation using WRF over Central Asia. Journal of Water and Climate Change. 16(1). 1–13.
3.
Jia, Xingcan, et al.. (2024). Exploring the impact of nocturnal boundary layer stability on wintertime air pollution in a highly polluted basin city using unsupervised learning classification. Atmospheric Pollution Research. 15(10). 102253–102253. 1 indexed citations
4.
Quan, Jiannong, Juntao Huo, Chenglong Zhang, et al.. (2024). High organic aerosol in the low layer over a rural site in the North China Plain (NCP): Observations based on large tethered balloon. The Science of The Total Environment. 915. 170039–170039. 2 indexed citations
5.
Liao, Zhiheng, Meng Gao, Jinqiang Zhang, et al.. (2024). Mixing-layer-height-referenced ozone vertical distribution in the lower troposphere of Chinese megacities: stratification, classification, and meteorological and photochemical mechanisms. Atmospheric chemistry and physics. 24(6). 3541–3557. 6 indexed citations
6.
Ma, Pengkun, Jiannong Quan, Xingcan Jia, et al.. (2023). Observational evidence of the regional transported black carbon in high layer over Beijing. Atmospheric Environment. 311. 120000–120000. 2 indexed citations
7.
Wang, Yuan, Chunsong Lu, Shengjie Niu, et al.. (2023). Diverse Dispersion Effects and Parameterization of Relative Dispersion in Urban Fog in Eastern China. Journal of Geophysical Research Atmospheres. 128(6). 35 indexed citations
8.
Jia, Xingcan, Jiannong Quan, Xiujuan Zhao, et al.. (2023). Regional transport of aerosol above boundary layer and its radiation effect trigger severe haze pollution in Beijing. Atmospheric Research. 298. 107145–107145. 2 indexed citations
9.
Lu, Chunsong, Xingcan Jia, Yuan Wang, et al.. (2023). Radiation fog properties in two consecutive events under polluted and clean conditions in the Yangtze River Delta, China: a simulation study. Atmospheric chemistry and physics. 23(17). 9873–9890. 13 indexed citations
10.
Dou, Youjun, Jiannong Quan, Xingcan Jia, Wang Qian-qian, & Yangang Liu. (2021). Near‐Surface Warming Reduces Dew Frequency in China. Geophysical Research Letters. 48(7). 6 indexed citations
11.
Cheng, Zhigang, Ju Li, Xingcan Jia, et al.. (2021). Assessing the Influence of Aerosol on Radiation and Its Roles in Planetary Boundary Layer Development. Journal of Meteorological Research. 35(2). 384–392.
12.
Quan, Jiannong, Yangang Liu, Xingcan Jia, et al.. (2021). Anthropogenic aerosols prolong fog lifetime in China. Environmental Research Letters. 16(4). 44048–44048. 9 indexed citations
13.
Quan, Jiannong, Wang Qian-qian, Pengkun Ma, et al.. (2021). Secondary aerosol formation in cloud serves as a vital source of aerosol in the troposphere. Atmospheric Environment. 253. 118374–118374. 7 indexed citations
14.
Lu, Chunsong, Yangang Liu, Seong Soo Yum, et al.. (2020). Reconciling Contrasting Relationships Between Relative Dispersion and Volume‐Mean Radius of Cloud Droplet Size Distributions. Journal of Geophysical Research Atmospheres. 125(9). 40 indexed citations
15.
Ding, Shuo, Delong Zhao, Cenlin He, et al.. (2019). Observed Interactions Between Black Carbon and Hydrometeor During Wet Scavenging in Mixed‐Phase Clouds. Geophysical Research Letters. 46(14). 8453–8463. 37 indexed citations
16.
Quan, Jiannong, Youjun Dou, Xiujuan Zhao, et al.. (2019). Regional atmospheric pollutant transport mechanisms over the North China Plain driven by topography and planetary boundary layer processes. Atmospheric Environment. 221. 117098–117098. 50 indexed citations
17.
Jia, Xingcan, Jiannong Quan, Ziyan Zheng, et al.. (2018). Impacts of Anthropogenic Aerosols on Fog in North China Plain. Journal of Geophysical Research Atmospheres. 124(1). 252–265. 35 indexed citations
18.
Liu, Quan, Xingcan Jia, Jiannong Quan, et al.. (2018). New positive feedback mechanism between boundary layer meteorology and secondary aerosol formation during severe haze events. Scientific Reports. 8(1). 6095–6095. 95 indexed citations
19.
Quan, Jiannong, Chunlai Jiang, Xin Jin, et al.. (2018). Evaluation of satellite aerosol retrievals with in situ aircraft and ground measurements: Contribution of relative humidity. Atmospheric Research. 212. 1–5. 6 indexed citations
20.
Jia, Xingcan & Xueliang Guo. (2012). Impacts of Anthropogenic Atmospheric Pollutant on Formation and Development of a Winter Heavy Fog Event. Chinese Journal of Atmospheric Sciences. 36(5). 995–1008. 5 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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