Year 2026
12. Zhan, Y. N., Huang, D. D., Gao, Y. Q., Zhou, L. Y., Shen, J. C., Yuan, W., Duan, J., Li, X., Tang, Z. F., Zhong, H. B., Huang, C., Wang, H. L., Huang, R. J.*: Molecular tracking the formation and aging of secondary organic aerosol from benzothiazole photooxidation, Environ. Sci. Technol., 60, 11597–11607, 2026.
13. Duan, J., Zhou, L. Y., Huang, R. J.*, Zhan, Y. N., Qu, J., Liu, J. H., Lin, C. S., Wang, T., Zhong, H. B., Ren, J. Y., Huang, W., Xu, W., Liu, Q, Liu, Z. R., Lou, S. R., Yang, H. N., Huang, D. D., Huang, C., Wang, H. L.: Enhanced secondary organic aerosol formation in humid urban air: The evolution of oxygenated volatile intermediates, Environ. Sci. Technol., 60, 18756-18766, 2026.
14. Zhou, Y., Zhang, W. H., Lang, J. L., Li, X. D., Zheng, X. H., Yang, C. X., Huang, R. J.*, Chen, D. S., Cheng, S. Y.: Spatiotemporal dynamics and key drivers of brown carbon emissions from biomass burning in China: A historical to future perspective (1980–2035), Environ. Sci. Technol., 60, 6177-6187, 2026.
15. Wang, T., Duan, J., Zhou, L. Y., Yang, L., Shen, J. C., Yuan, W., Guo, J., Xu, W., Huang, R. J.*: Molecular-level chromophoric profiles of brown carbon from residential biomass burning and coal combustion, Environ. Sci. Technol. Lett., 13, 373-379, 2026.
16. Wang, T., Zhou, L. Y., Cao, W. J., Cui, H. T., Liu, Y., Yuan, W., Guo, J., Jing, M., Zhang, L. S., Xu, W., Hoffmann, T., Huang, R. J.*: Capturing elusive volatile organics in atmospheric particles via dual-mode solid-phase microextraction coupled with gas chromatography-Orbitrap mass spectrometry, Anal. Chem., 98, 18215-18224, 2026.
17. Lin, C. S., Huang, R. J.*, Duan, J., Qu, J., Liu, J. H., Liu, Y., Luo, Y., Huang, W., Xu, W., Zhan, Y. N., Liu, Z. T., Liu, S. H., Zhang, Q. S., Liu, Q., Liu, Z. R., Lou, S. R., Yang, H. N., Huang, D. D., Huang, C., Wang, H. L.: Growing role of secondary organic aerosol in the North China Plain from 2014 to 2024, Atmos. Chem. Phys., 26, 2635-2647, 2026.
18. Ren, J. Y., Xu, W., Huang, R. J.*, Zhang, F., Wang, Y., Chen, L., Ovadnevaite, J., Ceburnis, D., O'Dowd, C., Sun, Y. L.: Contrasting aerosol mixing states at inland and coastal sites: an entropy-based metric for CCN activity, Atmos. Chem. Phys., 26, 2985-3000, 2026.
19. Ren, J. Y., Zhang, F., Chen, L., Liu, J. Y., Xu, W., Xu, H. H., Wang, Z., Huang, R. J.*: Characterization of hygroscopicity-based mixing state at four sites in China, J. Aerosol Sci., 106868, 10.1016/j.jaerosci.2026.106868, 2026.
20. Yao, P., Holzinger, R., Oyama, B. S., Masalaite, A., Paul, D., Ni, H., Noto, H., Materić, D., Andrade, M. D. F., Huang, R. J., and Dusek, U.: Widespread occurrence of large molecular methylsiloxanes in ambient aerosols, Atmos. Chem. Phys., 26, 5005-5018, 2026.
21. Ren, J., Zou, S., Xu, H., Liu, G., Wang, Z., Zhang, A., Zhao, C., Hu, M., Shang, D., Tang, L., Huang, R.-J., Sun, Y., and Zhang, F.: Machine learning significantly improves the simulation of hourly-to-yearly scale cloud nuclei concentration and radiative forcing in polluted atmosphere, Geosci. Model Dev., 19, 6403-6416, 2026.