Xuefang Wu

1.3k total citations · 1 hit paper
43 papers, 894 citations indexed

About

Xuefang Wu is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Automotive Engineering. According to data from OpenAlex, Xuefang Wu has authored 43 papers receiving a total of 894 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Health, Toxicology and Mutagenesis, 19 papers in Atmospheric Science and 9 papers in Automotive Engineering. Recurrent topics in Xuefang Wu's work include Air Quality and Health Impacts (20 papers), Atmospheric chemistry and aerosols (18 papers) and Vehicle emissions and performance (9 papers). Xuefang Wu is often cited by papers focused on Air Quality and Health Impacts (20 papers), Atmospheric chemistry and aerosols (18 papers) and Vehicle emissions and performance (9 papers). Xuefang Wu collaborates with scholars based in China, United Kingdom and United States. Xuefang Wu's co-authors include Kuang Cen, Tuan V. Vu, Roy M. Harrison, Zongbo Shi, Thurmon E. Lockhart, Di Liu, Zongshuang Wang, Xiuli Liu, Yang Yu and Yuan Chen and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, The Science of The Total Environment and Chemical Engineering Journal.

In The Last Decade

Xuefang Wu

40 papers receiving 880 citations

Hit Papers

Artificial intelligence i... 2023 2026 2024 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xuefang Wu China 19 516 385 218 115 113 43 894
Hui‐Tsung Hsu Taiwan 19 495 1.0× 165 0.4× 176 0.8× 85 0.7× 27 0.2× 43 785
Shibei Li China 9 243 0.5× 170 0.4× 211 1.0× 79 0.7× 96 0.8× 20 693
Dirk Dahmann Germany 17 633 1.2× 164 0.4× 226 1.0× 63 0.5× 163 1.4× 41 992
Homa Kashani Iran 15 835 1.6× 145 0.4× 265 1.2× 45 0.4× 58 0.5× 37 1.1k
Jianming Xu China 26 1.3k 2.6× 1.3k 3.4× 776 3.6× 635 5.5× 232 2.1× 63 2.0k
Xinyi Niu China 21 922 1.8× 485 1.3× 266 1.2× 112 1.0× 185 1.6× 66 1.3k
Mike Pitz Germany 27 2.0k 3.9× 732 1.9× 731 3.4× 229 2.0× 421 3.7× 46 2.4k
Cristina Colombi Italy 14 558 1.1× 464 1.2× 208 1.0× 155 1.3× 222 2.0× 32 778
Jitendra J. Shah United States 18 422 0.8× 307 0.8× 166 0.8× 111 1.0× 147 1.3× 41 964

Countries citing papers authored by Xuefang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xuefang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuefang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xuefang Wu. A scholar is included among the top collaborators of Xuefang 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 Xuefang Wu. Xuefang 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.
Fang, Yan Ru, et al.. (2025). Optimizing crop straw utilization for enhancing bioenergy production and sustainable development. Renewable Energy. 256. 124212–124212. 3 indexed citations
3.
Wu, Xuefang, et al.. (2024). Study on factors influencing carbon dioxide emissions and carbon peak heterogenous pathways in Chinese provinces. Journal of Environmental Management. 365. 121667–121667. 22 indexed citations
4.
Chu, Mingliang, et al.. (2023). Shikonin Suppresses Cell Tumorigenesis in Gastric Cancer Associatedwith the Inhibition of c-Myc and Yap-1. Combinatorial Chemistry & High Throughput Screening. 27(13). 1919–1929. 3 indexed citations
5.
Cui, Yangyang, Gen Zhang, Wei Wang, et al.. (2022). Ten-year emission characteristics of atmospheric pollutants from incineration of sacrificial offerings in China. Journal of Environmental Sciences. 114. 391–400. 4 indexed citations
6.
Wu, Xuefang, Tuan V. Vu, Roy M. Harrison, et al.. (2022). Long-term characterization of roadside air pollutants in urban Beijing and associated public health implications. Environmental Research. 212(Pt B). 113277–113277. 20 indexed citations
7.
Li, Zhongwen, Hongyun Chen, Xiaomei Yu, et al.. (2022). Artificial intelligence to detect malignant eyelid tumors from photographic images. npj Digital Medicine. 5(1). 23–23. 28 indexed citations
8.
Li, Shaobo, et al.. (2022). An Improved Weighted Differential Evolution Algorithm Based on the Chaotic Mapping and Dynamic Reverse Learning Strategy. Journal of Physics Conference Series. 2400(1). 12054–12054. 3 indexed citations
9.
Xu, Jingsha, Di Liu, Xuefang Wu, et al.. (2021). Source apportionment of fine organic carbon at an urban site of Beijing using a chemical mass balance model. Atmospheric chemistry and physics. 21(9). 7321–7341. 35 indexed citations
10.
Hou, Siqi, Di Liu, Jingsha Xu, et al.. (2021). Source apportionment of carbonaceous aerosols in Beijing with radiocarbon and organic tracers: insight into the differences between urban and rural sites. Atmospheric chemistry and physics. 21(10). 8273–8292. 23 indexed citations
11.
Wu, Xuefang, Chun‐Rong Chen, Tuan V. Vu, et al.. (2020). Source apportionment of fine organic carbon (OC) using receptor modelling at a rural site of Beijing: Insight into seasonal and diurnal variation of source contributions. Environmental Pollution. 266(Pt 1). 115078–115078. 24 indexed citations
12.
Xu, Jingsha, Deepchandra Srivastava, Xuefang Wu, et al.. (2020). An evaluation of source apportionment of fine OC and PM2.5by multiple methods: APHH-Beijing campaigns as a case study. Faraday Discussions. 226. 290–313. 18 indexed citations
13.
Xu, Jingsha, Di Liu, Xuefang Wu, et al.. (2020). Source Apportionment of Fine Aerosol at an Urban Site of Beijing using a Chemical Mass Balance Model. 3 indexed citations
14.
Shi, Zongbo, Mohammed S. Alam, Xuefang Wu, et al.. (2019). Alkanes and aliphatic carbonyl compounds in wintertime PM2.5 in Beijing, China. Atmospheric Environment. 202. 244–255. 33 indexed citations
15.
Shi, Zongbo, Mohammed S. Alam, Xuefang Wu, et al.. (2019). Insight into the composition of organic compounds ( ≥  C 6 ) in PM 2.5 in wintertime in Beijing, China. Atmospheric chemistry and physics. 19(16). 10865–10881. 14 indexed citations
16.
Zhang, Yu, et al.. (2014). [Assessment on the COD discharge status of municipal wastewater treatment plant in a city of China].. PubMed. 35(10). 3998–4002. 2 indexed citations
17.
Wu, Gang, Xin Du, Xuefang Wu, et al.. (2013). Chemical composition, mass closure and sources of atmospheric PM10 from industrial sites in Shenzhen, China. Journal of Environmental Sciences. 25(8). 1626–1635. 20 indexed citations
18.
Wu, Xuefang. (2011). Emission characteristics and control measures of SO_2 from medium and small coal-fired boilers in China. China Environmental Science. 1 indexed citations
19.
Wu, Xuefang. (2010). Comparison between Domestic and International Ambient Air Quality Standards. The Research of Environmental Sciences. 5 indexed citations
20.
Wu, Xuefang. (2010). Observation of Chromosome Meiosis of Locusta Migratoria Manilensis. Chongqing Shifan Daxue xuebao. Ziran kexue ban. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026