Publish or Perish. Now or Never.

E5 Nexus Lab has published XXX peer-reviewed articles (with team members as first or corresponding authors) since YYYY.

Fei Yao has published 20 peer-reviewed articles (10 as first and/or corresponding authors—all JCR Q1, over half in CAS Q1 TOP, three in Nature Index journals). Google Scholar ResearchGate

(* Corresponding author; # co-first author；Group members are shown in bold)

In revision, in review, submitted, in preparation:

21. Liu, J., Zheng, Z., Yao, F.* and Li, W.*, 2025. A multi-view machine learning approach for estimating PM2.5 concentrations from smartphone photographs. Submitted.

Peer-reviewed

20. Yin, K.#, Yao, F.#, Luo, N., Gao, M., Lu, X.* and Yi, B.*, 2025. Substantial reduction of solar photovoltaic potential in China by an extreme dust event. Accepted for publication in Communications Earth & Environment.

19. Wang, H., Maslanka, W., Palmer, P.I.*, Wooster, M.J., Wang, H., Yao, F., Feng, L., Wu, K., Lu, X.* and Fan, S.*, 2025. Using geostationary-satellite-derived sub-daily fire radiative power variability versus prescribed diurnal cycles to assess the impact of African fires on tropospheric ozone. Atmospheric Chemistry and Physics, 25(23), pp.17501-17526. doi: 10.5194/acp-25-17501-2025

18. Yao, F.*, Palmer, P.I., Liu, J., Chen, H. and Wang, Y., 2025. Attribution of Solar Energy Yield Gaps due to Transboundary Particulate Matter Pollution Associated with Trade across Northeast Asia. Environmental Science & Technology, 59(29), pp.15092-15100. doi: 10.1021/acs.est.5c05935

17. Liu, J.#, Yao, F.#, Chen, H.* and Zhao, H.*, 2025. Quantifying the Source–Receptor Relationships of PM2.5 Pollution and Associated Health Impacts among China, South Korea, and Japan: A Dual Perspective and an Interdisciplinary Approach. Environmental Health Perspectives, 133(3-4), p.047011. doi: 10.1289/EHP14550
Environmental Health Perspectives joins the ACS Publications portfolio
EHP was taken down on 1 December 2025 due to a lack of government support. Currently, published EHP articles, including ours, remain available at PubMed Central (PMC).

16. Wang, Y., Wang, H., Yao, F.*, Stouffs, R. and Wu, J.*, 2024. An integrated framework for jointly assessing spatiotemporal dynamics of surface urban heat island intensity and footprint: China, 2003–2020. Sustainable Cities and Society, 112, p.105601. doi: 10.1016/j.scs.2024.105601

15. Marvin, M.R.*, Palmer, P.I., Yao, F., Latif, M.T. and Khan, M.F., 2024. Uncertainties from biomass burning aerosols in air quality models obscure public health impacts in Southeast Asia. Atmospheric Chemistry and Physics, 24(6), pp.3699-3715. doi: 10.5194/acp-24-3699-2024

14. Yao, F.* and Palmer, P.I., 2022. Source Sector Mitigation of Solar Energy Generation Losses Attributable to Particulate Matter Pollution. Environmental Science & Technology, 56(12), pp.8619-8628. doi: 10.1021/acs.est.2c01175

13. Liu, J.*, Li, J. and Yao, F., 2022. Source-receptor relationship of transboundary particulate matter pollution between China, South Korea and Japan: Approaches, current understanding and limitations. Critical Reviews in Environmental Science and Technology, 52(21), pp.3896-3920. doi: 10.1080/10643389.2021.1964308

12. Wu, J.*, Wang, Y., Liang, J. and Yao, F., 2021. Exploring common factors influencing PM2.5 and O3 concentrations in the Pearl River Delta: Tradeoffs and synergies. Environmental Pollution, 285(117138), pp.10-1016. doi: 10.1016/j.envpol.2021.117138

11. Mogno, C.*, Palmer, P.I., Knote, C., Yao, F. and Wallington, T.J., 2021. Seasonal distribution and drivers of surface fine particulate matter and organic aerosol over the Indo-Gangetic Plain. Atmospheric Chemistry and Physics, 21(14), pp.10881-10909. doi: 10.5194/acp-21-10881-2021

10. Yao, F.* and Palmer, P.I., 2021. A model framework to reduce bias in ground-level PM2.5 concentrations inferred from satellite-retrieved AOD. Atmospheric Environment, 248, p.118217. doi: 10.1016/j.atmosenv.2021.118217

9. Guo, H., Zhan, Q., Ho, H.C., Yao, F., Zhou, X., Wu, J. and Li, W.*, 2020. Coupling mobile phone data with machine learning: How misclassification errors in ambient PM2.5 exposure estimates are produced?. Science of The Total Environment, 745, p.141034. doi: 10.1016/j.scitotenv.2020.141034

8. Guo, H., Li, W.*, Yao, F., Wu, J., Zhou, X., Yue, Y. and Yeh, A.G., 2020. Who are more exposed to PM2.5 pollution: A mobile phone data approach. Environment International, 143, p.105821. doi: 10.1016/j.envint.2020.105821

7. Wu, J., Liang, J., Zhou, L., Yao, F. and Peng, J.*, 2019. Impacts of AOD correction and spatial scale on the correlation between high-resolution AOD from Gaofen-1 satellite and In Situ PM2.5 measurements in Shenzhen City, China. Remote Sensing, 11(19), p.2223. doi: 10.3390/rs11192223

6. Yao, F., Wu, J.*, Li, W.* and Peng, J., 2019. A spatially structured adaptive two-stage model for retrieving ground-level PM2.5 concentrations from VIIRS AOD in China. ISPRS Journal of Photogrammetry and Remote Sensing, 151, pp.263-276. doi: 10.1016/j.isprsjprs.2019.03.011

5. Yao, F., Wu, J.*, Li, W. and Peng, J., 2019. Estimating daily PM2.5 concentrations in Beijing using 750-M VIIRS IP AOD retrievals and a nested spatiotemporal statistical model. Remote Sensing, 11(7), p.841. doi: 10.3390/rs11070841

4. Yao, F., Si, M., Li, W.* and Wu, J.*, 2018. A multidimensional comparison between MODIS and VIIRS AOD in estimating ground-level PM2.5 concentrations over a heavily polluted region in China. Science of the Total Environment, 618, pp.819-828. doi: 10.1016/j.scitotenv.2017.08.209

3. Wang, Z., Yao, F., Li, W. and Wu, J.*, 2017. Saturation correction for nighttime lights data based on the relative NDVI. Remote Sensing, 9(7), p.759. doi: 10.3390/rs9070759

2. Wu, J., Yao, F., Li, W.* and Si, M., 2016. VIIRS-based remote sensing estimation of ground-level PM2.5 concentrations in Beijing–Tianjin–Hebei: A spatiotemporal statistical model. Remote Sensing of Environment, 184, pp.316-328. doi: 10.1016/j.rse.2016.07.015
Supervisor as first author.

1. Yao, F., Ye, K. and Zhou, J.*, 2015. Automatic image classification and retrieval by analyzing plant leaf features. Journal of Zhejiang A&F University, 32(3), pp.426-433. doi: 10.11833/j.issn.2095-0756.2015.03.015