Jun Tao

9.0k total citations · 1 hit paper
134 papers, 6.8k citations indexed

About

Jun Tao is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis and Global and Planetary Change. According to data from OpenAlex, Jun Tao has authored 134 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Atmospheric Science, 100 papers in Health, Toxicology and Mutagenesis and 52 papers in Global and Planetary Change. Recurrent topics in Jun Tao's work include Atmospheric chemistry and aerosols (104 papers), Air Quality and Health Impacts (96 papers) and Atmospheric aerosols and clouds (45 papers). Jun Tao is often cited by papers focused on Atmospheric chemistry and aerosols (104 papers), Air Quality and Health Impacts (96 papers) and Atmospheric aerosols and clouds (45 papers). Jun Tao collaborates with scholars based in China, Canada and United States. Jun Tao's co-authors include Renjian Zhang, Junji Cao, Leiming Zhang, Zhisheng Zhang, Gehui Wang, Jiwu Jing, Yunfei Wu, C LEE, Yibing Zhao and Zexiang Shen and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Geophysical Research Letters.

In The Last Decade

Jun Tao

130 papers receiving 6.8k citations

Hit Papers

Chemical characterization and source apportionment of PM ... 2013 2026 2017 2021 2013 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Tao China 46 5.4k 5.0k 2.1k 1.9k 1.1k 134 6.8k
Fengkui Duan China 39 5.5k 1.0× 5.8k 1.2× 2.4k 1.1× 2.1k 1.1× 920 0.9× 116 7.2k
Zirui Liu China 50 5.5k 1.0× 5.9k 1.2× 2.9k 1.4× 2.5k 1.3× 894 0.8× 243 8.2k
Jianlin Hu China 49 5.9k 1.1× 4.3k 0.9× 1.7k 0.8× 2.8k 1.5× 1.1k 1.1× 139 7.3k
Jintai Lin China 45 3.7k 0.7× 4.2k 0.8× 2.8k 1.3× 2.2k 1.2× 587 0.6× 148 7.2k
Jorge Pey Spain 47 5.4k 1.0× 4.8k 1.0× 2.2k 1.0× 2.1k 1.1× 1.7k 1.6× 101 7.2k
Noemí Pérez Spain 41 3.8k 0.7× 3.2k 0.6× 1.4k 0.7× 1.7k 0.9× 1.2k 1.2× 99 5.3k
Yuanhang Zhang China 48 5.3k 1.0× 5.6k 1.1× 2.0k 0.9× 2.4k 1.3× 1.2k 1.2× 159 7.7k
Xin Jin China 50 4.6k 0.9× 6.4k 1.3× 4.2k 2.0× 2.0k 1.0× 720 0.7× 243 7.7k
Yu Song China 51 6.5k 1.2× 8.2k 1.6× 4.2k 2.0× 3.2k 1.7× 1.5k 1.4× 174 10.8k
Konstantinos Eleftheriadis Greece 48 4.1k 0.8× 3.8k 0.8× 2.0k 1.0× 1.6k 0.9× 979 0.9× 214 6.4k

Countries citing papers authored by Jun Tao

Since Specialization
Citations

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

Fields of papers citing papers by Jun Tao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Tao

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Tao. A scholar is included among the top collaborators of Jun Tao 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 Jun Tao. Jun Tao 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.
Lu, Song, et al.. (2025). Insight into C6F12O fire suppression mechanism on coaxial n-heptane flame: Combined experimental and ReaxFF molecular dynamics simulation. Process Safety and Environmental Protection. 200. 107383–107383. 1 indexed citations
2.
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
3.
Tao, Jun, Zhisheng Zhang, Leiming Zhang, et al.. (2023). Characterization and sources of water-soluble organic species in PM2.5 in a remote mountain environment in Southeastern China. Atmospheric Environment. 313. 120057–120057. 5 indexed citations
5.
Tao, Jun, Zhisheng Zhang, Yunfei Wu, et al.. (2019). Impact of particle number and mass size distributions of major chemical components on particle mass scattering efficiency in urban Guangzhou in southern China. Atmospheric chemistry and physics. 19(13). 8471–8490. 31 indexed citations
7.
Wu, Yunfei, Xiaojia Wang, Jun Tao, et al.. (2017). Size distribution and source of black carbon aerosol in urban Beijing during winter haze episodes. Atmospheric chemistry and physics. 17(12). 7965–7975. 46 indexed citations
8.
Tao, Jun, Leiming Zhang, Junji Cao, & Renjian Zhang. (2017). A review of current knowledge concerning PM 2. 5 chemical composition, aerosol optical properties and their relationships across China. Atmospheric chemistry and physics. 17(15). 9485–9518. 306 indexed citations
9.
Tao, Jun, et al.. (2016). Analysis of spatiotemporal characteristics of sea ice disaster in the Bohai Sea since 2004. 25(5). 87. 1 indexed citations
10.
Leng, Chunpeng, Chen Xu, Hefeng Zhang, et al.. (2016). Insights into a historic severe haze event in Shanghai: synoptic situation,boundary layer and pollutants. Atmospheric chemistry and physics. 16(14). 9221–9234. 67 indexed citations
11.
Tao, Jun, Hao Zhang, Chen Xu, et al.. (2014). Impacts of new particle formation on aerosol cloud condensation nuclei (CCN) activity in Shanghai: case study. Atmospheric chemistry and physics. 14(20). 11353–11365. 36 indexed citations
12.
Wang, Gehui, Chunlei Cheng, Yao Huang, et al.. (2014). Evolution of aerosol chemistry in Xi'an, inland China, during the dust storm period of 2013 – Part 1: Sources, chemical forms and formation mechanisms of nitrate and sulfate. Atmospheric chemistry and physics. 14(21). 11571–11585. 54 indexed citations
13.
Tao, Jun, Fahe Chai, Jianhua Yue, et al.. (2013). Impact of relative humidity and particles number size distribution on aerosol light extinction in the urban area of Guangzhou. Atmospheric chemistry and physics. 13(3). 1115–1128. 44 indexed citations
14.
Wang, Gehui, Baowen Zhou, Chunlei Cheng, et al.. (2013). Impact of Gobi desert dust on aerosol chemistry of Xi'an, inland China during spring 2009: differences in composition and size distribution between the urban ground surface and the mountain atmosphere. Atmospheric chemistry and physics. 13(2). 819–835. 104 indexed citations
15.
Zhang, Renjian, Jiwu Jing, Jun Tao, et al.. (2013). Chemical characterization and source apportionment of PM 2.5 in Beijing: seasonal perspective. Atmospheric chemistry and physics. 13(14). 7053–7074. 1043 indexed citations breakdown →
16.
Tao, Jun. (2011). Continuous observation of PM_(2.5) and black carbon aerosol during summer in Beijing suburb. 2 indexed citations
17.
Tao, Jun. (2010). CHARACTERISTICS OF ELEMENTS IN PM_(2.5) DURING NORMAL AND HAZE PERIOD IN CHENGDU. Environmental Chemistry. 4 indexed citations
18.
Tao, Jun. (2010). Analysis on Reliability and Efficiency of Assessment Scale on Children's TCM Indicators of Physiological State. Zhonghua zhongyiyao xuekan. 2 indexed citations
19.
Tao, Jun. (2006). Sources Apportionment of TSP in Chongqing. 4 indexed citations
20.
Tao, Jun. (2002). Reliability Enhancement Testing and Accelerated Life Testing:An Introductory Review. Journal of National University of Defense Technology. 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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