Update: 2023/02/08 Full list see Google Scholar.

Working papers (# co-first author, * corresponding author)

Song, C.*, Zhang, J., Tong, H., Xu, J., Shi, Z., Coe, H., and Mao, H.* (2022). Two-step Machine Learning Reveals Near-road Polycyclic Aromatic Hydrocarbons (PAHs) in Individual Particles from Biomass Burning, Coal Combustion and Vehicle Emissions. (In preparation)

Published papers (# co-first author, * corresponding author)

2017 2018 2019 2020 2021 2022 2023


Song, C., Liu, B., Cheng K., Cole, M., Dai, Q.*, Elliott, R., Shi, Z.*. (2023). Attribution of Air Quality Benefits to Clean Winter Heating Polices in China: Combining Machine Learning with Causal Inference. Environmental Science & Technology. ASAP. [pdf]

Brean, J.*, Beddows, D. C. S., Harrison, R. M., Song, C., Tunved, P., Ström, J., Krejci, R., Freud, E., Massling, A., Skov, H., Asmi, E., Lupi, A., and Dall’Osto, M.*. (2023). Collective geographical ecoregions and precursor sources driving Arctic new particle formation, Atmos. Chem. Phys., 23, 2183–2198,

Zhang, Q., Liu, J., Wei, N., Song, C., Peng, J., Wu, L., Mao, H. (2023). Identify the contribution of vehicle non-exhaust emissions: a single particle aerosol mass spectrometer test case at typical road environment. Front. Environ. Sci. Eng. 17(5): 62. [pdf]


Song, C.*, Becagli, S., Beddows, D., Brean, j., Browse, J., Dai, Q., Dall’Osto, M., Ferracci, V., Harrison, R., Harris, N., Li, W., Jones, A., Kirchgäßner, A., Kramawijaya, A., Kurganskiy, A., Lupi, A., Mazzola M., Severi, M., Traversi, R., and Shi, S.*. (2022). Understanding Sources and Drivers of Size-Resolved Aerosol in the High Arctic Islands of Svalbard Using a Receptor Model Coupled with Machine Learning. Environmental Science & Technology, 56 (16), 11189-11198.[pdf]

Hou, L., Dai, Q.*, Song, C., Liu, B., Guo, F., Dai, T., Li, L., Liu, B., Bi, X., Zhang, Y. and Feng, Y. (2022). Revealing Drivers of Haze Pollution by Explainable Machine Learning. Environmental Science & Technology Letters, 9 (2), 112-119. [pdf]

Xu, J.*, Harrison, R.M., Song, C., Hou, S., Wei, L., Fu, P., Li, H., Li, W. and Shi, Z.* (2022). PM2.5-bound silicon-containing secondary organic aerosols (Si-SOA) in Beijing ambient air. Chemosphere, 288, p.132377. [pdf]

Singh, A.*, Bartington, S.E., Song, C., Ghaffarpasand, O., Kraftl, M., Shi, Z., Pope, F.D., Stacey, B., Hall, J., Thomas, G.N. and Bloss, W.J. (2022). Impacts of emergency health protection measures upon air quality, traffic and public health: evidence from Oxford, UK. Environmental Pollution, 293, p.118584. [pdf]


Shi, Z.#1,*, Song, C.#1,*, Liu, B., Lu, G., Xu, J., Van Vu, T., Elliott, R., Li, W., Bloss, W., & Harrison, R. (2021). Abrupt but smaller than expected changes in surface air quality attributable to COVID-19 lockdowns [ESI Highly Cited Paper]. Science Advances, 7(3). [pdf]

Song, C., Dallosto, M.*, Lupi, A., Mazzola, M., Traversi, R., Becagli, S., Gilardoni, S., Vratolis, S., Yttri, K., Beddows, D., Schmale, J., Brean, J., Kramawijaya, A., Harrison, R., & Shi, Z.* (2021). Differentiation of coarse-mode anthropogenic, marine and dust particles in the high arctic islands of svalbard. Atmospheric Chemistry and Physics, 21(14), 11317–11335. [pdf]

Dai, Q., Ding, J., Hou, L., Li, L., Cai, Z., Liu, B., Song, C., Bi, X., Wu, J., Zhang, Y.* and Feng, Y. (2021). Haze episodes before and during the COVID-19 shutdown in Tianjin, China: Contribution of fireworks and residential burning. Environmental Pollution, 286, p.117252.

Diao, L., Zhang, H., Liu, B.*, Dai, C., Zhang, Y., Dai, Q., Bi, X., Zhang, L., Song, C., & Feng, Y. (2021). Health risks of inhaled selected toxic elements during the haze episodes in shijiazhuang, China: Insight into critical risk sources. Environmental Pollution, 276.

Liu, L., Zhang, J., Du, R., Teng, X., Hu, R., Yuan, Q., Tang, S., Ren, C., Huang, X., Xu, L., Zhang, Y., Zhang, X., Song, C., Liu, B., Lu, G., Shi, Z., & Li, W.* (2021). Chemistry of atmospheric fine particles during the COVID-19 pandemic in a megacity of eastern China [ESI Highly Cited Paper]. Geophysical Research Letters, 48(2).

Luo, L., Zhu, R.-G., Song, C., Peng, J.-F., Guo, W., Liu, Y., Zheng, N., Xiao, H.*, & Xiao, H.-Y.* (2021). Changes in nitrate accumulation mechanisms as PM2.5 levels increase on the north China plain: A perspective from the dual isotopic compositions of nitrate. Chemosphere, 263.

Wang, Y., Liu, B.*, Zhang, Y., Dai, Q., Song, C., Duan, L., Guo, L., Zhao, J., Xue, Z., Bi, X., & Feng, Y. (2021). Potential health risks of inhaled toxic elements and risk sources during different covid-19 lockdown stages in linfen, China. Environmental Pollution, 284.


Song, C., Liu, Y., Sun, L., Zhang, Q., & Mao, H.* (2020). Emissions of volatile organic compounds (VOCs) from gasoline- and liquified natural gas (LNG)-fueled vehicles in tunnel studies. Atmospheric Environment, 234. [pdf]

Gu, Y., Liu, B.*, Li, Y., Zhang, Y., Bi, X., Wu, J., Song, C., Dai, Q., Han, Y., Ren, G., & Feng, Y. (2020). Multi-scale volatile organic compound (VOC) source apportionment in tianjin, China, using a receptor model coupled with 1-hr resolution data. Environmental Pollution, 265.

Li, Y., Liu, B.*, Xue, Z., Zhang, Y., Sun, X., Song, C., Dai, Q., Fu, R., Tai, Y., Gao, J., Zheng, Y., & Feng, Y. (2020). Chemical characteristics and source apportionment of PM2.5 using pmf modelling coupled with 1-hr resolution online air pollutant dataset for linfen, China. Environmental Pollution, 263.

Wang, L., Guo, P., Tong, H., Wang, A., Chang, Y., Guo, X., Gong, J., Song, C., Wu, L., Wang, T., Hopke, P., Chen, X.*, Tang, N.-J.*, & Mao, H.* (2020). Traffic-related metrics and adverse birth outcomes: A systematic review and meta-analysis. Environmental Research, 188.

Xu, J., Song, S., Harrison, R., Song, C., Wei, L., Zhang, Q., Sun, Y., Lei, L., Zhang, C., Yao, X., Chen, D., Li, W., Wu, M., Tian, H., Luo, L., Tong, S., Li, W., Wang, J., Shi, G., . . . Shi, Z.* (2020). An interlaboratory comparison of aerosol inorganic ion measurements by ion chromatography: Implications for aerosol pH estimate. Atmospheric Measurement Techniques, 13(11), 6325–6341.

Xu, L., Zhang, J., Sun, X., Xu, S., Shan, M., Yuan, Q., Liu, L., Du, Z., Liu, D., Xu, D., Song, C., Liu, B., Lu, G., Shi, Z., & Li, W.* (2020). Variation in concentration and sources of black carbon in a megacity of China during the COVID-19 pandemic. Geophysical Research Letters, 47(23).

Zhang, J., Peng, J., Song, C., Ma, C., Men, Z., Wu, J., Wu, L., Wang, T., Zhang, X., Tao, S., Gao, S., Hopke, P., & Mao, H.* (2020). Vehicular non-exhaust particulate emissions in chinese megacities: Source profiles, real-world emission factors, and inventories. Environmental Pollution, 266.


Song, C., Liu, B., Dai, Q., Li, H., & Mao, H.* (2019). Temperature dependence and source apportionment of volatile organic compounds (VOCs) at an urban site on the north China plain. Atmospheric Environment, 207, 167–181. [pdf][One of the most cited articles from Atmospheric Environment published since 2020]

Dai, Q., Bi, X.*, Huangfu, Y., Yang, J., Li, T., Khan, J., Song, C., Xu, J., Wu, J., Zhang, Y., & Feng, Y. (2019). A size-resolved chemical mass balance (sr-cmb) approach for source apportionment of ambient particulate matter by single element analysis. Atmospheric Environment, 197, 45–52.

Dai, Q., Bi, X.*, Song, W., Li, T., Liu, B., Ding, J., Xu, J., Song, C., Yang, N., Schulze, B., Zhang, Y., Feng, Y., & Hopke, P. (2019). Residential coal combustion as a source of primary sulfate in Xi’an, China. Atmospheric Environment, 196, 66–76. [One of the most cited articles from Atmospheric Environment published since 2020]

Sun, L.-N., Liu, Y., Zhao, J.-B., Sun, S.-D., Song, C., Zhang, J., Li, Y.-N., Lin, Y.-C., Wang, T., & Mao, H.-J.* (2019). Pollution characteristics and emission factors of VOCs from vehicle emissions in the tianjin tunnel. Huanjing Kexue/Environmental Science, 40(1), 104–113.


Song, C., Ma, C., Zhang, Y., Wang, T., Wu, L.*, Wang, P., Liu, Y., Li, Q., Zhang, J., Dai, Q., Zou, C., Sun, L., & Mao, H.* (2018). Heavy-duty diesel vehicles dominate vehicle emissions in a tunnel study in northern China. Science of the Total Environment, 637-638, 431–442. [pdf]

Dai, Q., Bi, X.*, Liu, B., Li, L., Ding, J., Song, W., Bi, S., Schulze, B., Song, C., Wu, J., Zhang, Y., Feng, Y., & Hopke, P. (2018). Chemical nature of PM2.5 and PM10 in Xi’an, China: Insights into primary emissions and secondary particle formation. Environmental Pollution, 240, 155–166.

Wang, A.-X., Chen, X., Song, C., Ying, S.-M., Li, Q., Wu, L., & Mao, H.-J.* (2018). Association between fine particulate matter and asthma hospital outpatient visits in Hangzhou. Huanjing Kexue/Environmental Science, 39(10), 4457–4462.


Song, C., He, J.*, Wu, L., Jin, T., Chen, X., Li, R., Ren, P., Zhang, L., & Mao, H.* (2017). Health burden attributable to ambient PM2.5 in China [ESI Highly Cited Paper]. Environmental Pollution, 223, 575–586. [pdf]

Song, C., Wu, L., Xie, Y., He, J., Chen, X., Wang, T., Lin, Y., Jin, T., Wang, A., Liu, Y., Dai, Q., Liu, B., Wang, Y.-N., & Mao, H.* (2017). Air pollution in China: status and spatiotemporal variations [ESI Highly Cited Paper]. Environmental Pollution, 227, 334–347. [pdf]

Fang, X.-Z., Wu, L., Zhang, J., Li, H.-R., Mao, H.-J.*, & Song, C. (2017). Characteristics of particulate matter and carbonaceous species in ambient air at different air quality levels. Huanjing Kexue/Environmental Science, 38(9), 3569–3574.

He, J., Gong, S., Liu, H.*, An, X., Yu, Y., Zhao, S., Wu, L., Song, C., Zhou, C., Wang, J., Yin, C., & Yu, L. (2017). Influences of meteorological conditions on interannual variations of particulate matter pollution during winter in the beijing–tianjin–hebei area. Journal of Meteorological Research, 31(6), 1062–1069.

He, J.*, Gong, S., Yu, Y., Yu, L., Wu, L., Mao, H., Song, C., Zhao, S., Liu, H., Li, X., & Li, R. (2017). Air pollution characteristics and their relation to meteorological conditions during 2014–2015 in major chinese cities [ESI Highly Cited Paper]. Environmental Pollution, 223, 484–496.