Cheng Wu

1.5k total citations
30 papers, 514 citations indexed

About

Cheng Wu is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis and Global and Planetary Change. According to data from OpenAlex, Cheng Wu has authored 30 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Atmospheric Science, 9 papers in Health, Toxicology and Mutagenesis and 7 papers in Global and Planetary Change. Recurrent topics in Cheng Wu's work include Atmospheric chemistry and aerosols (17 papers), Atmospheric Ozone and Climate (10 papers) and Air Quality and Health Impacts (9 papers). Cheng Wu is often cited by papers focused on Atmospheric chemistry and aerosols (17 papers), Atmospheric Ozone and Climate (10 papers) and Air Quality and Health Impacts (9 papers). Cheng Wu collaborates with scholars based in China, Sweden and Finland. Cheng Wu's co-authors include Thomas F. Mentel, Astrid Kiendler‐Scharr, E. Kleist, Ralf Tillmann, Defeng Zhao, Yiping Wang, Yadong Deng, Min Liu, Iida Pullinen and Jürgen Wildt and has published in prestigious journals such as Nature Communications, Atmospheric Environment and The Journal of Physical Chemistry A.

In The Last Decade

Cheng Wu

27 papers receiving 508 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cheng Wu China 12 315 196 86 85 69 30 514
Zhihong Liu China 10 72 0.2× 51 0.3× 48 0.6× 55 0.6× 36 0.5× 58 387
Soon-Young Park South Korea 12 213 0.7× 123 0.6× 137 1.6× 107 1.3× 16 0.2× 61 443
Tommaso Francesco Villa Australia 8 185 0.6× 175 0.9× 155 1.8× 273 3.2× 39 0.6× 10 665
Matteo Reggente Sweden 14 138 0.4× 243 1.2× 55 0.6× 242 2.8× 11 0.2× 25 702
Tao Ren China 16 60 0.2× 18 0.1× 105 1.2× 23 0.3× 36 0.5× 50 555
Jordi Badosa France 18 222 0.7× 61 0.3× 235 2.7× 71 0.8× 139 2.0× 48 807
Deping Li China 11 338 1.1× 103 0.5× 307 3.6× 64 0.8× 5 0.1× 35 566
Chang Chang Taiwan 11 46 0.1× 19 0.1× 39 0.5× 24 0.3× 64 0.9× 83 447
Zhiqiang Li China 13 46 0.1× 22 0.1× 45 0.5× 33 0.4× 68 1.0× 64 496

Countries citing papers authored by Cheng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Wu. A scholar is included among the top collaborators of Cheng Wu 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 Cheng Wu. Cheng Wu 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.
Kang, Sungah, J. Wildt, Iida Pullinen, et al.. (2025). Formation of highly oxygenated organic molecules from α -pinene photooxidation: evidence for the importance of highly oxygenated alkoxy radicals. Atmospheric chemistry and physics. 25(22). 15715–15740.
2.
Kong, Xiangrui, Cheng Wu, Yuxin Hao, et al.. (2024). Impact of SO2 and light on chemical morphology and hygroscopicity of natural salt aerosols. Atmospheric Environment. 322. 120373–120373. 1 indexed citations
3.
Li, Linjie, Ditte Thomsen, Cheng Wu, et al.. (2024). Gas-to-Particle Partitioning of Products from Ozonolysis of Δ3-Carene and the Effect of Temperature and Relative Humidity. The Journal of Physical Chemistry A. 128(5). 918–928. 5 indexed citations
4.
Huang, Wei, Cheng Wu, Sophie L. Haslett, et al.. (2024). Variation in chemical composition and volatility of oxygenated organic aerosol in different rural, urban, and mountain environments. Atmospheric chemistry and physics. 24(4). 2607–2624. 3 indexed citations
5.
Liu, Ziyang, Chaokun Wang, Liqun Yang, et al.. (2024). Incorporating Dynamic Temperature Estimation into Contrastive Learning on Graphs. 2889–2903.
6.
Hyttinen, Noora, Linjie Li, Mattias Hallquist, & Cheng Wu. (2024). Machine Learning Model to Predict Saturation Vapor Pressures of Atmospheric Aerosol Constituents. ACS ES&T Air. 1(9). 1156–1163. 3 indexed citations
7.
Cai, Jing, Kaspar R. Daellenbach, Cheng Wu, et al.. (2023). Characterization of offline analysis of particulate matter with FIGAERO-CIMS. Atmospheric measurement techniques. 16(5). 1147–1165. 14 indexed citations
8.
Zha, Qiaozhi, Wei Huang, Diego Aliaga, et al.. (2023). Measurement report: Molecular-level investigation of atmospheric cluster ions at the tropical high-altitude research station Chacaltaya (5240 m a.s.l.) in the Bolivian Andes. Atmospheric chemistry and physics. 23(7). 4559–4576. 4 indexed citations
9.
Wu, Cheng, David M. Bell, Amélie Bertrand, et al.. (2023). Volatility of aerosol particles from NO 3 oxidation of various biogenic organic precursors. Atmospheric chemistry and physics. 23(13). 7347–7362. 8 indexed citations
10.
Cai, Jing, Cheng Wu, Jiandong Wang, et al.. (2022). Influence of organic aerosol molecular composition on particle absorptive properties in autumn Beijing. Atmospheric chemistry and physics. 22(2). 1251–1269. 15 indexed citations
11.
Bell, David M., Cheng Wu, Amélie Bertrand, et al.. (2022). Particle-phase processing of α -pinene NO 3 secondary organic aerosol in the dark. Atmospheric chemistry and physics. 22(19). 13167–13182. 18 indexed citations
13.
Bell, David M., Cheng Wu, Amélie Bertrand, et al.. (2021). Particle-phase processing of α-pinene NO 3 secondary organic aerosol in the dark. 5 indexed citations
14.
Wu, Cheng, David M. Bell, Sophie L. Haslett, et al.. (2021). Photolytically induced changes in composition and volatility of biogenic secondary organic aerosol from nitrate radical oxidation during night-to-day transition. Atmospheric chemistry and physics. 21(19). 14907–14925. 20 indexed citations
15.
Pullinen, Iida, Sebastian H. Schmitt, Sungah Kang, et al.. (2020). Impact of NO x on secondary organic aerosol (SOA) formation from α -pinene and β -pinene photooxidation: the role of highly oxygenated organic nitrates. Atmospheric chemistry and physics. 20(17). 10125–10147. 52 indexed citations
17.
Wildt, Jürgen, Iida Pullinen, Monika Springer, et al.. (2016). Impact of NO x and OH on secondary organic aerosol formation from β -pinene photooxidation. Atmospheric chemistry and physics. 16(17). 11237–11248. 98 indexed citations
18.
Wu, Cheng, Iida Pullinen, S. Andres, et al.. (2015). Impacts of soil moisture on de novo monoterpene emissions from European beech, Holm oak, Scots pine, and Norway spruce. Biogeosciences. 12(1). 177–191. 37 indexed citations
19.
Zhang, Yuli, et al.. (2012). Dynamic Programming and Heuristic for Stochastic Uncapacitated Lot‐Sizing Problems with Incremental Quantity Discount. Mathematical Problems in Engineering. 2012(1). 4 indexed citations
20.
Yu, Jian Zhen, Alexis K.H. Lau, Cheng Wu, et al.. (2010). Temporal and Spatial Patterns of PM2.5 at Three Sites in the Pearl River Delta, China: One-Year Observations. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 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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