Buying Wang

1.3k total citations · 1 hit paper
9 papers, 1.1k citations indexed

About

Buying Wang is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Buying Wang has authored 9 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Health, Toxicology and Mutagenesis, 3 papers in Atmospheric Science and 3 papers in Environmental Engineering. Recurrent topics in Buying Wang's work include Air Quality and Health Impacts (6 papers), Air Quality Monitoring and Forecasting (3 papers) and Atmospheric chemistry and aerosols (3 papers). Buying Wang is often cited by papers focused on Air Quality and Health Impacts (6 papers), Air Quality Monitoring and Forecasting (3 papers) and Atmospheric chemistry and aerosols (3 papers). Buying Wang collaborates with scholars based in China, United States and Canada. Buying Wang's co-authors include Jingkun Jiang, Jianhuo Fang, Geng Tian, Jidong Lang, Wenjun Jiang, Ting Zhu, Chen Cao, Kebin He, Wei Zhou and Qianqian Zhang and has published in prestigious journals such as Environmental Science & Technology, Nature Protocols and Journal of Geophysical Research Atmospheres.

In The Last Decade

Buying Wang

9 papers receiving 1.0k citations

Hit Papers

Inhalable Microorganisms in Beijing’s PM2.5 and PM10 Poll... 2014 2026 2018 2022 2014 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Buying Wang China 5 806 460 255 243 89 9 1.1k
Arun Srivastava India 20 1.1k 1.4× 549 1.2× 425 1.7× 333 1.4× 195 2.2× 56 1.6k
H. Bauer Austria 10 471 0.6× 566 1.2× 124 0.5× 254 1.0× 56 0.6× 14 819
Jin Young Kim South Korea 22 741 0.9× 831 1.8× 294 1.2× 338 1.4× 69 0.8× 59 1.4k
Chia‐Pin Chio Taiwan 21 808 1.0× 232 0.5× 177 0.7× 110 0.5× 171 1.9× 54 1.4k
Chen Cao China 4 468 0.6× 124 0.3× 135 0.5× 75 0.3× 51 0.6× 6 605
Kabindra M. Shakya United States 20 559 0.7× 394 0.9× 183 0.7× 151 0.6× 83 0.9× 39 919
Franziska Zibuschka Austria 7 439 0.5× 315 0.7× 69 0.3× 104 0.4× 50 0.6× 9 676
J.S. Pastuszka Poland 23 1.4k 1.8× 335 0.7× 418 1.6× 61 0.3× 91 1.0× 72 1.7k
Inbo Oh South Korea 17 429 0.5× 340 0.7× 236 0.9× 144 0.6× 34 0.4× 76 908
Yaling Zeng China 19 632 0.8× 617 1.3× 141 0.6× 136 0.6× 83 0.9× 55 1.1k

Countries citing papers authored by Buying Wang

Since Specialization
Citations

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

Fields of papers citing papers by Buying Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Buying Wang

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

All Works

9 of 9 papers shown
1.
Wang, Zhanshan, et al.. (2018). [Variation of O3 Concentration in Different Regions of Beijing from 2006-2015].. PubMed. 39(1). 1–8. 4 indexed citations
2.
Wang, Buying, et al.. (2017). [Impact of Gusty Northwesterly Winds on Biological Particles in Winter in Beijing].. PubMed. 38(9). 3561–3568. 2 indexed citations
3.
Li, Yunting, et al.. (2017). Analysis on air quality in Beijing during the military parade period in 2015.. China Environmental Science. 37(5). 1628–1636. 3 indexed citations
4.
Cheng, Nianliang, Yunting Li, Feng Sun, et al.. (2017). Ground-Level NO2 in Urban Beijing: Trends, Distribution, and Effects of Emission Reduction Measures. Aerosol and Air Quality Research. 18(2). 343–356. 38 indexed citations
5.
Cheng, Nianliang, Yunting Li, Dawei Zhang, et al.. (2016). [Characteristics of Ozone Background Concentration in Beijing from 2004 to 2015].. PubMed. 37(8). 2847–2854. 3 indexed citations
6.
Jiang, Wenjun, Peng Liang, Buying Wang, et al.. (2015). Optimized DNA extraction and metagenomic sequencing of airborne microbial communities. Nature Protocols. 10(5). 768–779. 114 indexed citations
7.
Cheng, Zhen, Jingkun Jiang, Changhong Chen, et al.. (2014). Estimation of Aerosol Mass Scattering Efficiencies under High Mass Loading: Case Study for the Megacity of Shanghai, China. Environmental Science & Technology. 49(2). 831–838. 34 indexed citations
8.
Cao, Chen, Wenjun Jiang, Buying Wang, et al.. (2014). Inhalable Microorganisms in Beijing’s PM2.5 and PM10 Pollutants during a Severe Smog Event. Environmental Science & Technology. 48(3). 1499–1507. 574 indexed citations breakdown →
9.
Wang, Yuxuan, Qianqian Zhang, Jingkun Jiang, et al.. (2014). Enhanced sulfate formation during China's severe winter haze episode in January 2013 missing from current models. Journal of Geophysical Research Atmospheres. 119(17). 283 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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