Tuan V. Vu

3.5k total citations · 3 hit papers
48 papers, 2.0k citations indexed

About

Tuan V. Vu is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Tuan V. Vu has authored 48 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Health, Toxicology and Mutagenesis, 30 papers in Atmospheric Science and 21 papers in Environmental Engineering. Recurrent topics in Tuan V. Vu's work include Air Quality and Health Impacts (44 papers), Atmospheric chemistry and aerosols (30 papers) and Air Quality Monitoring and Forecasting (21 papers). Tuan V. Vu is often cited by papers focused on Air Quality and Health Impacts (44 papers), Atmospheric chemistry and aerosols (30 papers) and Air Quality Monitoring and Forecasting (21 papers). Tuan V. Vu collaborates with scholars based in United Kingdom, China and Saudi Arabia. Tuan V. Vu's co-authors include Roy M. Harrison, Zongbo Shi, Juana María Delgado-Saborit, Kebin He, Qiang Zhang, Shuxiao Wang, Jing Cheng, Jingsha Xu, Deepchandra Srivastava and Weijun Li and has published in prestigious journals such as Environmental Science & Technology, Journal of Hazardous Materials and Chemical Engineering Journal.

In The Last Decade

Tuan V. Vu

46 papers receiving 1.9k citations

Hit Papers

Assessing the impact of clean air action on air quality t... 2019 2026 2021 2023 2019 2021 2022 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Assessing the impact of clean air action on air quality trends in Beijing using a machine learning technique
    2019 286 citations Tuan V. Vu, Zongbo Shi et al. Atmospheric chemistry and physics profile →
  2. Abrupt but smaller than expected changes in surface air quality attributable to COVID-19 lockdowns
    2021 275 citations Zongbo Shi, Congbo Song et al. Science Advances profile →
  3. Formation of secondary organic aerosols from anthropogenic precursors in laboratory studies
    2022 134 citations Deepchandra Srivastava, Tuan V. Vu et al. npj Climate and Atmospheric Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tuan V. Vu United Kingdom 21 1.6k 1.1k 836 499 382 48 2.0k
Nathan M. Kreisberg United States 30 2.0k 1.3× 2.2k 2.0× 621 0.7× 608 1.2× 517 1.4× 64 2.9k
Josephine T. Bates United States 13 1.4k 0.9× 719 0.7× 770 0.9× 228 0.5× 253 0.7× 15 1.7k
Zhen Cheng China 18 1.6k 1.0× 1.4k 1.3× 702 0.8× 609 1.2× 384 1.0× 44 2.1k
Leigh R. Crilley United Kingdom 20 1000 0.6× 777 0.7× 705 0.8× 263 0.5× 308 0.8× 56 1.4k
Naděžda Zíková Czechia 21 1.1k 0.7× 578 0.5× 587 0.7× 260 0.5× 226 0.6× 45 1.4k
Erika von Schneidemesser Germany 23 1.8k 1.1× 2.0k 1.8× 884 1.1× 978 2.0× 384 1.0× 56 3.0k
Jürgen Schnelle‐Kreis Germany 32 2.3k 1.4× 1.9k 1.7× 759 0.9× 419 0.8× 791 2.1× 98 3.1k
Jongbae Heo South Korea 26 1.7k 1.1× 1.0k 0.9× 711 0.9× 261 0.5× 343 0.9× 56 2.0k
Xiaopu Lyu Hong Kong 28 2.1k 1.3× 2.2k 2.1× 1.3k 1.5× 404 0.8× 405 1.1× 74 2.7k
Stefania Squizzato Italy 28 2.0k 1.3× 1.3k 1.2× 786 0.9× 354 0.7× 479 1.3× 55 2.4k

Countries citing papers authored by Tuan V. Vu

Since Specialization
Citations

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

Fields of papers citing papers by Tuan V. Vu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tuan V. Vu. 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 Tuan V. Vu. The network helps show where Tuan V. Vu may publish in the future.

Co-authorship network of co-authors of Tuan V. Vu

This figure shows the co-authorship network connecting the top 25 collaborators of Tuan V. Vu. A scholar is included among the top collaborators of Tuan V. Vu 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 Tuan V. Vu. Tuan V. Vu 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.
Wood, D. L., Dimitris Evangelopoulos, Nutthida Kitwiroon, et al.. (2025). Personalised estimation of exposure to ambient air pollution and application in a longitudinal cohort analysis of cognitive function in London-dwelling older adults. Journal of Exposure Science & Environmental Epidemiology. 36(1). 33–40. 1 indexed citations
2.
Beddows, Andrew, Gregor Stewart, Mike Holland, et al.. (2025). What Impact Does Net Zero Action on Road Transport and Building Heating Have on Exposure to UK Air Pollution?. Environmental Science & Technology. 59(2). 1274–1286. 1 indexed citations
3.
Srivastava, Deepchandra, Tuan V. Vu, Shengrui Tong, Zongbo Shi, & Roy M. Harrison. (2022). Formation of secondary organic aerosols from anthropogenic precursors in laboratory studies. npj Climate and Atmospheric Science. 5(1). 134 indexed citations breakdown →
4.
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
5.
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
6.
Shi, Zongbo, Congbo Song, Bowen Liu, et al.. (2021). Abrupt but smaller than expected changes in surface air quality attributable to COVID-19 lockdowns. Science Advances. 7(3). 275 indexed citations breakdown →
7.
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
8.
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
9.
Lu, Gongda, Eloïse A. Marais, Tuan V. Vu, et al.. (2021). Assessment of strict autumn-winter emission controls on air quality in the Beijing-Tianjin-Hebei region. 1 indexed citations
10.
Vu, Tuan V., Zongbo Shi, & Roy M. Harrison. (2021). Estimation of hygroscopic growth properties of source-related sub-micrometre particle types in a mixed urban aerosol. npj Climate and Atmospheric Science. 4(1). 14 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.
Ly, Bich-Thuy, Yutaka Matsumi, Tuan V. Vu, et al.. (2020). The effects of meteorological conditions and long-range transport on PM2.5 levels in Hanoi revealed from multi-site measurement using compact sensors and machine learning approach. Journal of Aerosol Science. 152. 105716–105716. 37 indexed citations
13.
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
14.
Steimer, Sarah S., Daniel J. Patton, Tuan V. Vu, et al.. (2020). Differences in the composition of organic aerosols between winter and summer in Beijing: a study by direct-infusion ultrahigh-resolution mass spectrometry. Atmospheric chemistry and physics. 20(21). 13303–13318. 21 indexed citations
15.
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
16.
He, Lizhi, et al.. (2019). Chemical Composition and Source Apportionment of PM2.5 in Urban Areas of Xiangtan, Central South China. International Journal of Environmental Research and Public Health. 16(4). 539–539. 18 indexed citations
17.
Vu, Tuan V., Zongbo Shi, Jing Cheng, et al.. (2019). Assessing the impact of clean air action on air quality trends in Beijing using a machine learning technique. Atmospheric chemistry and physics. 19(17). 11303–11314. 286 indexed citations breakdown →
18.
19.
Masiol, Mauro, Roy M. Harrison, Tuan V. Vu, & David C. S. Beddows. (2017). Sources of sub-micrometre particles near a major international airport. Atmospheric chemistry and physics. 17(20). 12379–12403. 51 indexed citations
20.
Fonseca, Ana Sofia, Jaroslav Schwarz, Jakub Ondráček, et al.. (2016). Intercomparison of four different cascade impactors for fine and ultrafine particle sampling in two European locations. 12 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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