Xinxin Zhai

415 total citations
13 papers, 327 citations indexed

About

Xinxin Zhai is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Automotive Engineering. According to data from OpenAlex, Xinxin Zhai has authored 13 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Health, Toxicology and Mutagenesis, 8 papers in Atmospheric Science and 6 papers in Automotive Engineering. Recurrent topics in Xinxin Zhai's work include Air Quality and Health Impacts (12 papers), Atmospheric chemistry and aerosols (8 papers) and Vehicle emissions and performance (6 papers). Xinxin Zhai is often cited by papers focused on Air Quality and Health Impacts (12 papers), Atmospheric chemistry and aerosols (8 papers) and Vehicle emissions and performance (6 papers). Xinxin Zhai collaborates with scholars based in United States, Australia and China. Xinxin Zhai's co-authors include Armistead G. Russell, Matthew J. Strickland, James A. Mulholland, Paige E. Tolbert, Audrey F. Pennington, Lyndsey A. Darrow, Heather A. Holmes, Mariel D. Friberg, Mitchel Klein and Craig Hansen and has published in prestigious journals such as Environmental Science & Technology, Atmospheric Environment and Epidemiology.

In The Last Decade

Xinxin Zhai

13 papers receiving 323 citations

Peers

Xinxin Zhai
Yihui Ge China
Tony Bush United Kingdom
Jonah Lipsitt United States
Sheila Tripathy United States
Thomas Dumyahn United States
Yihui Ge China
Xinxin Zhai
Citations per year, relative to Xinxin Zhai Xinxin Zhai (= 1×) peers Yihui Ge

Countries citing papers authored by Xinxin Zhai

Since Specialization
Citations

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

Fields of papers citing papers by Xinxin Zhai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinxin Zhai

This figure shows the co-authorship network connecting the top 25 collaborators of Xinxin Zhai. A scholar is included among the top collaborators of Xinxin Zhai 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 Xinxin Zhai. Xinxin Zhai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Huang, Ran, Cesunica E. Ivey, Xinxin Zhai, et al.. (2022). Application of an improved gas-constrained source apportionment method using data fused fields: A case study in North Carolina, USA. Atmospheric Environment. 276. 119031–119031. 3 indexed citations
2.
Huang, Zhijiong, Yongtao Hu, Junyu Zheng, Xinxin Zhai, & Ran Huang. (2018). An optimized data fusion method and its application to improve lateral boundary conditions in winter for Pearl River Delta regional PM2.5 modeling, China. Atmospheric Environment. 180. 59–68. 6 indexed citations
3.
Zhai, Xinxin, James A. Mulholland, Mariel D. Friberg, et al.. (2018). Spatial PM2.5mobile source impacts using a calibrated indicator method. Journal of the Air & Waste Management Association. 69(4). 402–414. 3 indexed citations
4.
Bates, Josephine T., Audrey F. Pennington, Xinxin Zhai, et al.. (2018). Application and evaluation of two model fusion approaches to obtain ambient air pollutant concentrations at a fine spatial resolution (250m) in Atlanta. Environmental Modelling & Software. 109. 182–190. 23 indexed citations
5.
Pennington, Audrey F., Lyndsey A. Darrow, Mitchel Klein, et al.. (2018). Associations of mobile source air pollution during the first year of life with childhood pneumonia, bronchiolitis, and otitis media. Environmental Epidemiology. 2(1). e007–e007. 17 indexed citations
7.
Pennington, Audrey F., Matthew J. Strickland, Mitchel Klein, et al.. (2017). Exposure to Mobile Source Air Pollution in Early-life and Childhood Asthma Incidence. Epidemiology. 29(1). 22–30. 63 indexed citations
8.
Zhai, Xinxin, James A. Mulholland, Armistead G. Russell, & Heather A. Holmes. (2017). Spatial and temporal source apportionment of PM 2.5 in Georgia, 2002 to 2013. Atmospheric Environment. 161. 112–121. 21 indexed citations
9.
Huang, Ran, Xinxin Zhai, Cesunica E. Ivey, et al.. (2017). Air pollutant exposure field modeling using air quality model-data fusion methods and comparison with satellite AOD-derived fields: application over North Carolina, USA. Air Quality Atmosphere & Health. 11(1). 11–22. 21 indexed citations
10.
Pennington, Audrey F., Matthew J. Strickland, Mitchel Klein, et al.. (2016). Measurement error in mobile source air pollution exposure estimates due to residential mobility during pregnancy. Journal of Exposure Science & Environmental Epidemiology. 27(5). 513–520. 43 indexed citations
11.
Friberg, Mariel D., Xinxin Zhai, Heather A. Holmes, et al.. (2016). Method for Fusing Observational Data and Chemical Transport Model Simulations To Estimate Spatiotemporally Resolved Ambient Air Pollution. Environmental Science & Technology. 50(7). 3695–3705. 91 indexed citations
13.
Holmes, Heather A., Sivaraman Balachandran, Xinxin Zhai, et al.. (2016). Development and evaluation of a daily temporal interpolation model for fine particulate matter species concentrations and source apportionment. Atmospheric Environment. 140. 529–538. 3 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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