Li, Y., Sha, Z., Tang, A., Goulding, K. W. T. and Liu, X. 2023. The application of machine learning to air pollution research: A bibliometric analysis. Ecotoxicology and Environmental Safety. 257 (1 June), p. 114911. https://doi.org/10.1016/j.ecoenv.2023.114911
Cui, E., Fan, X., Hu, C., Neal, A. L., Cui, B., Liu, C. and Gao, F. 2022. Reduction effect of individual N, P, K fertilization on antibiotic resistance genes in reclaimed water irrigated soil . Ecotoxicology and Environmental Safety. 231, p. 113185. https://doi.org/10.1016/j.ecoenv.2022.113185
Hass, J., Zaworra, M., Glaubitz, J., Hertlein, G., Kohler, M., Lagojda, A., Lueke, B., Maus, C., Almanza, M-T., Davies, T. G. E., Bass, C. and Nauen, R. 2021. A toxicogenomics approach reveals characteristics supporting the honey bee (Apis mellifera L.) safety profile of the butenolide insecticide flupyradifurone. Ecotoxicology and Environmental Safety. 217 (1 July), p. 112247. https://doi.org/10.1016/j.ecoenv.2021.112247
Gomes, N. C. M., Landi, L., Smalla, K., Nannipieri, P., Brookes, P. C. and Renella, G. 2010. Effects of Cd- and Zn-enriched sewage sludge on soil bacterial and fungal communities. Ecotoxicology and Environmental Safety. 73, pp. 1255-1263. https://doi.org/10.1016/j.ecoenv.2010.07.027