Quan Liu

4.3k total citations · 1 hit paper
131 papers, 3.0k citations indexed

About

Quan Liu is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Quan Liu has authored 131 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Atmospheric Science, 52 papers in Global and Planetary Change and 48 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Quan Liu's work include Atmospheric chemistry and aerosols (65 papers), Air Quality and Health Impacts (45 papers) and Atmospheric aerosols and clouds (39 papers). Quan Liu is often cited by papers focused on Atmospheric chemistry and aerosols (65 papers), Air Quality and Health Impacts (45 papers) and Atmospheric aerosols and clouds (39 papers). Quan Liu collaborates with scholars based in China, United Kingdom and United States. Quan Liu's co-authors include Jiannong Quan, Xia Li, Delong Zhao, Yang Gao, Xuexi Tie, Qiang Zhang, Leonard V. Interrante, Xingcan Jia, Yangang Liu and Deping Ding and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and Environmental Science & Technology.

In The Last Decade

Quan Liu

123 papers receiving 3.0k citations

Hit Papers

20.2% Efficiency Organic Photovoltaics Employing a π‐Exte... 2024 2026 2025 2024 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Quan Liu China 30 1.7k 1.3k 1.1k 452 350 131 3.0k
Ilan Levy Israel 32 728 0.4× 979 0.7× 508 0.5× 658 1.5× 198 0.6× 66 2.6k
Pasi Yli‐Pirilä Finland 26 1.4k 0.8× 1.1k 0.9× 587 0.5× 249 0.6× 79 0.2× 57 2.3k
Ronald A. Susott United States 23 1.7k 1.0× 459 0.4× 1.8k 1.7× 105 0.2× 34 0.1× 35 2.7k
S. C. Hsu Taiwan 16 1.0k 0.6× 1.0k 0.8× 336 0.3× 456 1.0× 128 0.4× 28 2.3k
Donghai Zhang China 26 255 0.1× 154 0.1× 550 0.5× 241 0.5× 415 1.2× 92 2.1k
Mingxu Liu China 25 1.2k 0.7× 684 0.5× 674 0.6× 428 0.9× 97 0.3× 88 2.1k
A. K. Srivastava India 42 3.6k 2.1× 2.5k 1.9× 2.7k 2.5× 1.1k 2.3× 712 2.0× 167 5.4k
Gediminas Mainelis United States 38 221 0.1× 2.2k 1.7× 139 0.1× 789 1.7× 448 1.3× 144 3.8k
Wenjuan Li China 30 337 0.2× 195 0.1× 798 0.7× 643 1.4× 150 0.4× 134 2.8k
Seoung Soo Lee South Korea 25 1.0k 0.6× 135 0.1× 1.0k 0.9× 137 0.3× 159 0.5× 106 1.9k

Countries citing papers authored by Quan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Quan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quan Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Quan Liu. A scholar is included among the top collaborators of Quan Liu 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 Quan Liu. Quan Liu 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, Jun, Yonghong Wang, Biwu Chu, et al.. (2025). Machine Learning‐Driven Identification of Factors Governing Secondary Organic Aerosol Formation During Autumn in Beijing. Geophysical Research Letters. 52(24).
2.
Chen, Zhenyu, Jinfeng Ge, Wei Song, et al.. (2024). 20.2% Efficiency Organic Photovoltaics Employing a π‐Extension Quinoxaline‐Based Acceptor with Ordered Arrangement. Advanced Materials. 36(33). e2406690–e2406690. 189 indexed citations breakdown →
3.
Hu, X., Quan Liu, Yangmei Zhang, et al.. (2023). Significant influence of nitrate on light absorption enhancement of refractory black carbon in the winter of 2022 in Beijing. Atmospheric Environment. 319. 120311–120311. 2 indexed citations
4.
Wang, Qingqing, Yang Zhou, Ondřej Mašek, et al.. (2023). Rhizosphere effect on the relationship between dissolved organic matter and functional genes in contaminated soil. Journal of Environmental Management. 342. 118118–118118. 5 indexed citations
7.
Duan, Jing, Ru‐Jin Huang, Yifang Gu, et al.. (2022). Measurement report: Large contribution of biomass burning and aqueous-phase processes to the wintertime secondary organic aerosol formation in Xi'an, Northwest China. Atmospheric chemistry and physics. 22(15). 10139–10153. 24 indexed citations
8.
Liu, Dantong, Shaofei Kong, Yangzhou Wu, et al.. (2022). Evolution of source attributed organic aerosols and gases in a megacity of central China. Atmospheric chemistry and physics. 22(10). 6937–6951. 14 indexed citations
9.
Hu, Dawei, Dantong Liu, Shaofei Kong, et al.. (2021). Direct Quantification of Droplet Activation of Ambient Black Carbon Under Water Supersaturation. Journal of Geophysical Research Atmospheres. 126(13). 13 indexed citations
10.
Guo, Jiachen, et al.. (2021). Numerical analysis and experimental verification of the induced waveform characteristics for aeroengine gas path debris electrostatic sensor. Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering. 235(13). 1854–1867. 4 indexed citations
11.
Li, Siyuan, Dantong Liu, Dawei Hu, et al.. (2021). Evolution of Organic Aerosol From Wood Smoke Influenced by Burning Phase and Solar Radiation. Journal of Geophysical Research Atmospheres. 126(8). 18 indexed citations
12.
Hu, Dawei, Dantong Liu, Delong Zhao, et al.. (2020). Closure Investigation on Cloud Condensation Nuclei Ability of Processed Anthropogenic Aerosols. Journal of Geophysical Research Atmospheres. 125(15). 16 indexed citations
13.
Liu, Dantong, Shuo Ding, Delong Zhao, et al.. (2020). Black Carbon Emission and Wet Scavenging From Surface to the Top of Boundary Layer Over Beijing Region. Journal of Geophysical Research Atmospheres. 125(17). 27 indexed citations
14.
Tian, Ping, Dantong Liu, Delong Zhao, et al.. (2020). In situ vertical characteristics of optical properties and heating rates of aerosol over Beijing. Atmospheric chemistry and physics. 20(4). 2603–2622. 32 indexed citations
15.
Liu, Quan, Dantong Liu, Qian Gao, et al.. (2020). Vertical characteristics of aerosol hygroscopicity and impacts on optical properties over the North China Plain during winter. Atmospheric chemistry and physics. 20(6). 3931–3944. 33 indexed citations
16.
Bi, Kai, G. R. McMeeking, Deping Ding, et al.. (2019). Measurements of Ice Nucleating Particles in Beijing, China. Journal of Geophysical Research Atmospheres. 124(14). 8065–8075. 38 indexed citations
17.
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
18.
Zhao, Delong, Mengyu Huang, Dantong Liu, et al.. (2018). Aircraft measurements of black carbon in the boundary layer over the North China Plain. Biogeosciences (European Geosciences Union). 5 indexed citations
19.
Liu, Quan, Deping Ding, Mengyu Huang, et al.. (2018). A study of elevated pollution layer over the North China Plain using aircraft measurements. Atmospheric Environment. 190. 188–194. 29 indexed citations
20.
Liu, Quan. (2006). Study on wetland restoration based on utilization of flood resources. Shuili shuidian ke-ji jinzhan. 1 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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