Pingqing Fu

27.7k total citations · 3 hit papers
430 papers, 17.8k citations indexed

About

Pingqing Fu is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis and Global and Planetary Change. According to data from OpenAlex, Pingqing Fu has authored 430 papers receiving a total of 17.8k indexed citations (citations by other indexed papers that have themselves been cited), including 352 papers in Atmospheric Science, 272 papers in Health, Toxicology and Mutagenesis and 167 papers in Global and Planetary Change. Recurrent topics in Pingqing Fu's work include Atmospheric chemistry and aerosols (339 papers), Air Quality and Health Impacts (235 papers) and Atmospheric Ozone and Climate (130 papers). Pingqing Fu is often cited by papers focused on Atmospheric chemistry and aerosols (339 papers), Air Quality and Health Impacts (235 papers) and Atmospheric Ozone and Climate (130 papers). Pingqing Fu collaborates with scholars based in China, Japan and United States. Pingqing Fu's co-authors include Kimitaka Kawamura, Yele Sun, Zifa Wang, Jie Li, Qi Jiang, Ting Yang, Weiqi Xu, Douglas R. Worsnop, Wei Du and Qingqing Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

Pingqing Fu

418 papers receiving 17.6k citations

Hit Papers

Investigation of the sour... 2013 2026 2017 2021 2014 2013 2022 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Pingqing Fu 13.6k 11.7k 6.1k 3.2k 1.5k 430 17.8k
Yuesi Wang 14.2k 1.0× 11.3k 1.0× 8.1k 1.3× 5.4k 1.7× 2.0k 1.3× 513 21.0k
N. Mihalopoulos 14.0k 1.0× 8.7k 0.7× 7.5k 1.2× 3.3k 1.0× 1.4k 0.9× 382 17.2k
Tami C. Bond 15.2k 1.1× 9.2k 0.8× 9.6k 1.6× 1.7k 0.5× 2.6k 1.7× 112 19.3k
Lin Zhang 7.7k 0.6× 5.2k 0.4× 4.5k 0.7× 2.7k 0.8× 913 0.6× 337 12.6k
Athanasios Nenes 21.4k 1.6× 10.5k 0.9× 14.8k 2.4× 3.0k 0.9× 1.2k 0.8× 395 23.8k
Zifa Wang 14.0k 1.0× 10.7k 0.9× 7.6k 1.2× 3.9k 1.2× 1.7k 1.1× 499 16.9k
Hajime Akimoto 12.5k 0.9× 5.7k 0.5× 6.4k 1.1× 2.3k 0.7× 1.2k 0.8× 392 16.8k
J. A. de Gouw 18.8k 1.4× 11.5k 1.0× 8.1k 1.3× 4.3k 1.3× 2.6k 1.8× 324 23.2k
Allen H. Goldstein 17.8k 1.3× 11.1k 1.0× 11.3k 1.9× 4.4k 1.4× 2.5k 1.7× 386 27.2k
Richard G. Derwent 11.9k 0.9× 6.0k 0.5× 6.0k 1.0× 2.5k 0.8× 1.7k 1.2× 284 16.0k

Countries citing papers authored by Pingqing Fu

Since Specialization
Citations

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

Fields of papers citing papers by Pingqing Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pingqing Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Pingqing Fu. A scholar is included among the top collaborators of Pingqing Fu 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 Pingqing Fu. Pingqing Fu 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.
Liu, Rui, Ning Yang, Xiaoli Fu, et al.. (2025). Insights into the Stabilization of Atmospheric Iron(II) by Water-Soluble Organic Matter: Role of Aliphatic Organosulfates. Environmental Science & Technology Letters. 12(5). 535–543.
2.
3.
Fu, Pingqing, et al.. (2025). Trends and drivers of soluble iron deposition from East Asian dust to the Northwest Pacific: a springtime analysis (2001–2017). Atmospheric chemistry and physics. 25(10). 5175–5197.
4.
Wang, Qingqing, Wei Du, Wei Zhou, et al.. (2024). Characteristics of sub-micron aerosols above the urban canopy in Beijing during warm seasons. The Science of The Total Environment. 926. 171989–171989. 2 indexed citations
5.
Li, Yao, Hong Ren, Shengzhen Zhou, et al.. (2024). Tower-based profiles of wintertime secondary organic aerosols in the urban boundary layer over Guangzhou. The Science of The Total Environment. 950. 175326–175326. 1 indexed citations
6.
Zhang, Xinwei, et al.. (2024). Nanosensor detection of reactive oxygen and nitrogen species leakage in frustrated phagocytosis of nanofibres. Nature Nanotechnology. 19(4). 524–533. 35 indexed citations
7.
Liu, Di, Yunchao Lang, Shengjie Hou, et al.. (2023). Size distributions of molecular markers for biogenic secondary organic aerosol in urban Beijing. Environmental Pollution. 327. 121569–121569. 4 indexed citations
8.
Liu, Dandan, Yun Zhang, Shujun Zhong, et al.. (2023). Large differences of highly oxygenated organic molecules (HOMs) and low-volatile species in secondary organic aerosols (SOAs) formed from ozonolysis of β -pinene and limonene. Atmospheric chemistry and physics. 23(14). 8383–8402. 11 indexed citations
9.
Zhang, Wenxin, Wei Hu, Quan‐Fei Zhu, et al.. (2023). Hydroxy fatty acids in the surface Earth system. The Science of The Total Environment. 906. 167358–167358. 6 indexed citations
10.
Zhang, Qiang, Wei Hu, Hong Ren, et al.. (2023). Diurnal variations in primary and secondary organic aerosols in an eastern China coastal city: The impact of land-sea breezes. Environmental Pollution. 319. 121016–121016. 12 indexed citations
11.
Duan, Jing, Yong Chen, Xiaopeng Zhang, et al.. (2023). Influence of aerosol physicochemical properties on CCN activation during the Asian winter monsoon at the summit of Mt. Lu, China. Atmospheric Environment. 296. 119592–119592. 2 indexed citations
12.
Srivastava, Deepchandra, Jingsha Xu, Tuan V. Vu, et al.. (2021). Insight into PM 2.5 sources by applying positive matrix factorization (PMF) at urban and rural sites of Beijing. Atmospheric chemistry and physics. 21(19). 14703–14724. 61 indexed citations
15.
Yang, Jing, Wanyu Zhao, Lianfang Wei, et al.. (2020). Molecular and spatial distributions of dicarboxylic acids, oxocarboxylic acids, and α -dicarbonyls in marine aerosols from the South China Sea to the eastern Indian Ocean. Atmospheric chemistry and physics. 20(11). 6841–6860. 18 indexed citations
16.
Bloss, William J., Louisa J. Kramer, Leigh R. Crilley, et al.. (2020). Insights into air pollution chemistry and sulphate formation from nitrous acid (HONO) measurements during haze events in Beijing. Faraday Discussions. 226. 223–238. 10 indexed citations
17.
Ren, Lujie, Yiyun Wang, Kimitaka Kawamura, et al.. (2020). Source forensics of n-alkanes and n-fatty acids in urban aerosols using compound specific radiocarbon/stable carbon isotopic composition. Environmental Research Letters. 15(7). 74007–74007. 17 indexed citations
18.
Kang, Ronghua, Weixing Zhu, Linlin Song, et al.. (2020). δ15N of Nitric Oxide Produced Under Aerobic or Anaerobic Conditions From Seven Soils and Their Associated N Isotope Fractionations. Journal of Geophysical Research Biogeosciences. 125(9). 11 indexed citations
19.
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
20.
Li, Weijun, Jiaxing Sun, Liang Xu, et al.. (2016). A conceptual framework for mixing structures in individual aerosol particles. Journal of Geophysical Research Atmospheres. 121(22). 120 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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