14 citations as recorded by crossref.

1. Development of a Process‐Based N2O Emission Model for Natural Forest and Grassland Ecosystems M. Ma et al. https://doi.org/10.1029/2021MS002460
2. Modelling nitrous oxide emissions: comparing algorithms in six widely used agro-ecological models H. Xing et al. https://doi.org/10.1071/SR22009
3. Predicting Grassland Fire-Occurrence Probability in Inner Mongolia Autonomous Region, China C. Chang et al. https://doi.org/10.3390/rs15122999
4. Molecular and ecological perspectives of nitrous oxide producing microbial communities in agro-ecosystems A. Kumar et al. https://doi.org/10.1007/s11157-020-09554-w
5. Characterization of atmospheric nitrous oxide emissions from global agricultural soils V. Aneja et al. https://doi.org/10.1007/s42452-019-1688-5
6. Nitrogen fertilizers and the future of sustainable agriculture: a deep dive into production, pollution, and mitigation measures M. Tufail et al. https://doi.org/10.1080/00380768.2024.2361068
7. Microbial Controls on the Biogeochemical Dynamics in the Subsurface M. Thullner & P. Regnier https://doi.org/10.2138/rmg.2019.85.9
8. Can We Use Functional Genetics to Predict the Fate of Nitrogen in Estuaries? E. Raes et al. https://doi.org/10.3389/fmicb.2020.01261
9. Projected background nitrous oxide emissions from cultivable maize and rice farmland in China Y. Zhang & H. Niu https://doi.org/10.1016/j.apr.2020.08.018
10. New approach for predicting nitrification and its fraction of N2O emissions in global terrestrial ecosystems B. Pan et al. https://doi.org/10.1088/1748-9326/abe4f5
11. Predicting the Ratio of Nitrification to Immobilization to Reflect the Potential Risk of Nitrogen Loss Worldwide Y. Zhang et al. https://doi.org/10.1021/acs.est.0c08514
12. Improving an agroecosystem model to better simulate crop-soil interactions and N2O emissions Y. Chen & F. Tao https://doi.org/10.1016/j.agrformet.2025.110522
13. In-depth characterization of denitrifier communities across different soil ecosystems in the tundra I. Pessi et al. https://doi.org/10.1186/s40793-022-00424-2
14. Modeling biological nitrogen fixation in global natural terrestrial ecosystems T. Yu & Q. Zhuang https://doi.org/10.5194/bg-17-3643-2020