144 citations as recorded by crossref.

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9. Extreme climate increased crop nitrogen surplus in the United States J. Zhang et al. 10.1016/j.agrformet.2021.108632
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20. Coupling machine learning and crop modeling improves crop yield prediction in the US Corn Belt M. Shahhosseini et al. 10.1038/s41598-020-80820-1
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26. Key enablers for carbon dioxide removal through the application of biochar to agricultural soils: Evidence from three historical analogues C. Roberts et al. 10.1016/j.techfore.2023.122704
27. The model structure of the copper-dependent ammonia monooxygenase F. Musiani et al. 10.1007/s00775-020-01820-0
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31. Land cover, stream discharge, and wastewater effluent impacts on baseflow sediment and nutrient concentrations in SW Ohio streams R. Spahr et al. 10.1002/rra.4248
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33. Characterization and Remediation Potential of Sorghum and Rice Straw-Derived Biochars on Incubated Spent-Oil Contaminated Soil O. Ogunremi et al. 10.1016/j.sciaf.2023.e01921
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36. Trends of carbon emissions from applications of nitrogen fertiliser and crop residues to agricultural soils in South Africa M. Tongwane et al. 10.1016/j.jenvman.2020.111056
37. Nutrient Budgeting — A Robust Indicator of Soil–Water–Air Contamination Monitoring and Prevention S. Bhattacharyya et al. 10.1016/j.eti.2021.101944
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41. Urea Is Both a Carbon and Nitrogen Source for Microcystis aeruginosa: Tracking 13C Incorporation at Bloom pH Conditions L. Krausfeldt et al. 10.3389/fmicb.2019.01064
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51. Half‐Century History of Crop Nitrogen Budget in the Conterminous United States: Variations Over Time, Space and Crop Types J. Zhang et al. 10.1029/2020GB006876
52. Optimizing the spatial pattern of land use types in a mountainous area to minimize non-point nitrogen losses X. Lai et al. 10.1016/j.geoderma.2019.114016
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54. Seasonally dynamic nutrient modeling quantifies storage lags and time-varying reactivity across large river basins N. Schmadel et al. 10.1088/1748-9326/ac1af4
55. Improved Estimates of Ammonia Emissions from Global Croplands X. Zhan et al. 10.1021/acs.est.0c05149
56. Running the numbers on plant synthetic biology solutions to global problems K. Van Gelder et al. 10.1016/j.plantsci.2023.111815
57. Projecting global fertilizer consumption under shared socioeconomic pathway (SSP) scenarios using an approach of ensemble machine learning Y. Gao et al. 10.1016/j.scitotenv.2023.169130
58. Has agricultural intensification impacted maize root traits and rhizosphere interactions related to organic N acquisition? J. Schmidt et al. 10.1093/aobpla/plaa026
59. Preserving local biodiversity through crop diversification E. Strobl 10.1111/ajae.12265
60. Thirty years of regional groundwater-quality trend studies in the United States: Major findings and lessons learned B. Lindsey et al. 10.1016/j.jhydrol.2023.130427
61. Climate vs Energy Security: Quantifying the Trade-offs of BECCS Deployment and Overcoming Opportunity Costs on Set-Aside Land E. Blanc-Betes et al. 10.1021/acs.est.3c05240
62. Evaluating Cropland N2O Emissions and Fertilizer Plant Greenhouse Gas Emissions With Airborne Observations A. Gvakharia et al. 10.1029/2020JD032815
63. Effects of biochar and TUAT-1 bio-inoculant on grain yield and nitrogen efficiency of forage rice ‘Monster rice 1’ under different N application modes K. Win et al. 10.1080/03650340.2021.1928089
64. How does uncertainty of soil organic carbon stock affect the calculation of carbon budgets and soil carbon credits for croplands in the U.S. Midwest? W. Zhou et al. 10.1016/j.geoderma.2022.116254
65. Matching of Nitrogen Enhancement and Photosynthetic Efficiency by Arbuscular Mycorrhiza in Maize (Zea mays L.) in Relation to Organic Fertilizer Type S. Yooyongwech et al. 10.3390/plants11030369
66. Assessing the impacts of pre-growing-season weather conditions on soil nitrogen dynamics and corn productivity in the U.S. Midwest Z. Li et al. 10.1016/j.fcr.2022.108563
67. A nonlinear autoregressive exogenous (NARX) model to predict nitrate concentration in rivers F. Di Nunno et al. 10.1007/s11356-021-18221-8
68. Developing county-level data of nitrogen fertilizer and manure inputs for corn production in the United States Y. Xia et al. 10.1016/j.jclepro.2021.126957
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78. Environmental Impact and Carbon Footprint Assessment of Taiwanese Agricultural Products: A Case Study on Taiwanese Dongshan Tea A. Hu et al. 10.3390/en12010138
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85. Late Split-Application with Reduced Nitrogen Fertilizer Increases Yield by Mediating Source–Sink Relations during the Grain Filling Stage in Summer Maize T. Deng et al. 10.3390/plants12030625
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