Cheng Wu

3.6k total citations
60 papers, 2.1k citations indexed

About

Cheng Wu is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis and Environmental Engineering. According to data from OpenAlex, Cheng Wu has authored 60 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Atmospheric Science, 38 papers in Health, Toxicology and Mutagenesis and 15 papers in Environmental Engineering. Recurrent topics in Cheng Wu's work include Atmospheric chemistry and aerosols (41 papers), Air Quality and Health Impacts (37 papers) and Atmospheric Ozone and Climate (21 papers). Cheng Wu is often cited by papers focused on Atmospheric chemistry and aerosols (41 papers), Air Quality and Health Impacts (37 papers) and Atmospheric Ozone and Climate (21 papers). Cheng Wu collaborates with scholars based in China, Hong Kong and Macao. Cheng Wu's co-authors include Jian Zhen Yu, Dui Wu, Yongjie Li, Tao Deng, Chak K. Chan, Wai Man Ng, Mei Li, Peng Cheng, Nan Ma and Stephen M. Griffith and has published in prestigious journals such as ACS Nano, The Science of The Total Environment and Journal of Agricultural and Food Chemistry.

In The Last Decade

Cheng Wu

57 papers receiving 2.0k 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 28 1.7k 1.4k 695 502 296 60 2.1k
Luka Drinovec Slovenia 21 1.5k 0.9× 1.5k 1.1× 608 0.9× 455 0.9× 552 1.9× 58 2.2k
Jordan Krechmer United States 29 2.3k 1.4× 1.5k 1.1× 566 0.8× 546 1.1× 201 0.7× 67 2.7k
Lea Hildebrandt Ruiz United States 23 1.6k 1.0× 1.5k 1.1× 630 0.9× 628 1.3× 225 0.8× 59 2.1k
Mengyu Huang China 28 2.0k 1.2× 1.1k 0.8× 1.4k 2.1× 380 0.8× 149 0.5× 75 2.2k
Jin‐Seok Han South Korea 19 656 0.4× 559 0.4× 247 0.4× 242 0.5× 181 0.6× 106 1.1k
Robert L. Seila United States 19 885 0.5× 926 0.7× 228 0.3× 357 0.7× 403 1.4× 31 1.3k
Shuyu Zhao China 26 1.3k 0.8× 940 0.7× 664 1.0× 315 0.6× 166 0.6× 64 1.7k
Roland Sarda‐Estève France 24 1.8k 1.1× 1.3k 1.0× 592 0.9× 597 1.2× 333 1.1× 63 2.1k
Julia Burkart Canada 24 1.1k 0.6× 484 0.3× 795 1.1× 180 0.4× 81 0.3× 44 1.5k
Véronique Jacob France 19 903 0.5× 729 0.5× 293 0.4× 306 0.6× 190 0.6× 40 1.3k

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.
Kopaczek, Jan, S.M. Masum Ahmed, Cheng Wu, et al.. (2025). Controllable synthesis of environmentally stable vdW antiferromagnetic oxyhalide CrOCl. Nanoscale. 17(9). 5472–5480.
2.
Xu, Yongjiang, Zaihua Wang, Chenglei Pei, et al.. (2024). Single particle mass spectral signatures from on-road and non-road vehicle exhaust particles and their application in refined source apportionment using deep learning. The Science of The Total Environment. 930. 172822–172822. 3 indexed citations
3.
Cheng, Peng, Cheng Wu, Mei Li, et al.. (2024). Light Absorption Properties of Brown Carbon Aerosol During Winter at a Polluted Rural Site in the North China Plain. Atmosphere. 15(11). 1294–1294. 1 indexed citations
4.
5.
Wu, Boxi, Cheng Wu, Chenglei Pei, et al.. (2024). Long-term hourly air quality data bridging of neighboring sites using automated machine learning: A case study in the Greater Bay area of China. Atmospheric Environment. 321. 120347–120347. 7 indexed citations
6.
Li, Tao, Zhen Zhou, Jun Tao, et al.. (2023). High contribution of new particle formation to ultrafine particles in four seasons in an urban atmosphere in south China. The Science of The Total Environment. 889. 164202–164202. 8 indexed citations
7.
Cheng, Peng, Yongjie Li, Jianwei Gu, et al.. (2022). The association of chemical composition particularly the heavy metals with the oxidative potential of ambient PM2.5 in a megacity (Guangzhou) of southern China. Environmental Research. 213. 113489–113489. 29 indexed citations
8.
9.
Kuang, Ye, Yao He, Wanyun Xu, et al.. (2020). Distinct diurnal variation in organic aerosol hygroscopicity and its relationship with oxygenated organic aerosol. Atmospheric chemistry and physics. 20(2). 865–880. 54 indexed citations
10.
Liang, Yue, Cheng Wu, Yongjie Li, et al.. (2020). Field comparison of electrochemical gas sensor data correction algorithms for ambient air measurements. Sensors and Actuators B Chemical. 327. 128897–128897. 46 indexed citations
11.
Wu, Cheng, Dui Wu, Ben Liu, et al.. (2020). Time-resolved black carbon aerosol vertical distribution measurements using a 356-m meteorological tower in Shenzhen. Theoretical and Applied Climatology. 140(3-4). 1263–1276. 20 indexed citations
12.
Sun, Yele, Yao He, Ye Kuang, et al.. (2020). Chemical Differences Between PM1 and PM2.5 in Highly Polluted Environment and Implications in Air Pollution Studies. Geophysical Research Letters. 47(5). 87 indexed citations
13.
Sun, Jia, Cheng Wu, Dui Wu, et al.. (2020). Amplification of black carbon light absorption induced by atmospheric aging: temporal variation at seasonal and diel scales in urban Guangzhou. Atmospheric chemistry and physics. 20(4). 2445–2470. 47 indexed citations
14.
Wang, Qiyuan, Yongming Han, Jianhuai Ye, et al.. (2019). High Contribution of Secondary Brown Carbon to Aerosol Light Absorption in the Southeastern Margin of Tibetan Plateau. Geophysical Research Letters. 46(9). 4962–4970. 97 indexed citations
15.
Wu, Cheng, Dui Wu, & Jian Zhen Yu. (2018). Quantifying black carbon light absorption enhancement with a novel statistical approach. Atmospheric chemistry and physics. 18(1). 289–309. 104 indexed citations
16.
Qin, Yiming, Hao Tan, Yongjie Li, et al.. (2018). Chemical characteristics of brown carbon in atmospheric particles at a suburban site near Guangzhou, China. Atmospheric chemistry and physics. 18(22). 16409–16418. 98 indexed citations
17.
Wang, Qiongqiong, X. H. Hilda Huang, Xiaxia Zhang, et al.. (2018). Source apportionment of fine particulate matter in Macao, China with and without organic tracers: A comparative study using positive matrix factorization. Atmospheric Environment. 198. 183–193. 47 indexed citations
18.
Wu, Cheng, X. H. Hilda Huang, Wai Man Ng, Stephen M. Griffith, & Jian Zhen Yu. (2016). Inter-comparison of NIOSH and IMPROVE protocols for OC and EC determination:implications for inter-protocol data conversion. Atmospheric measurement techniques. 9(9). 4547–4560. 47 indexed citations
19.
20.
Wu, Dui, et al.. (2012). Investigation on hazy weather during the Guangzhou 2010 Asian Games. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 32(3). 521. 2 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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