54 citations as recorded by crossref.

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11. Quantifying the Limitation to World Cereal Production Due To Soil Phosphorus Status M. Kvakić et al. 10.1002/2017GB005754
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23. Recent changes in county-level maize production in the United States: Spatial-temporal patterns, climatic drivers and the implications for crop modelling G. Leng et al. 10.1016/j.scitotenv.2019.06.026
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26. Calibration and validation of SiBcrop Model for simulating LAI and surface heat fluxes of winter wheat in the North China Plain Y. CHEN et al. 10.1016/S2095-3119(20)63178-1
27. Improvement of the Irrigation Scheme in the ORCHIDEE Land Surface Model and Impacts of Irrigation on Regional Water Budgets Over China Z. Yin et al. 10.1029/2019MS001770
28. Field-scale evaluation of a satellite-based terrestrial biosphere model for estimating crop response to management practices and productivity J. Wang et al. 10.1016/j.isprsjprs.2024.11.008
29. Diurnal fluxes of HONO above a crop rotation S. Laufs et al. 10.5194/acp-17-6907-2017
30. Global crop-specific nitrogen fertilization dataset in 1961–2020 W. Adalibieke et al. 10.1038/s41597-023-02526-z
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36. How does management affect soil C sequestration and greenhouse gas fluxes in boreal and temperate forests? – A review R. Mäkipää et al. 10.1016/j.foreco.2022.120637
37. Modeling Perennial Bioenergy Crops in the E3SM Land Model (ELMv2) E. Sinha et al. 10.1029/2022MS003171
38. Irrigation, damming, and streamflow fluctuations of the Yellow River Z. Yin et al. 10.5194/hess-25-1133-2021
39. The Global Gridded Crop Model Intercomparison phase 1 simulation dataset C. Müller et al. 10.1038/s41597-019-0023-8
40. Evaluation of JULES-crop performance against site observations of irrigated maize from Mead, Nebraska K. Williams et al. 10.5194/gmd-10-1291-2017
41. A multi-model analysis of teleconnected crop yield variability in a range of cropping systems M. Heino et al. 10.5194/esd-11-113-2020
42. Responses of Winter Wheat Yields to Warming-Mediated Vernalization Variations Across Temperate Europe X. Wu et al. 10.3389/fevo.2017.00126
43. Improving a Biogeochemical Model to Simulate Surface Energy, Greenhouse Gas Fluxes, and Radiative Forcing for Different Land Use Types in Northeastern United States J. Deng et al. 10.1029/2019GB006520
44. Extreme rainfall reduces one-twelfth of China’s rice yield over the last two decades J. Fu et al. 10.1038/s43016-023-00753-6
45. Modelling fertiliser significance in three major crops B. Parkes et al. 10.1016/j.eja.2017.06.012
46. Recent changes in county-level corn yield variability in the United States from observations and crop models G. Leng 10.1016/j.scitotenv.2017.07.017
47. Coupling the land surface model Noah-MP with the generic crop growth model Gecros: Model description, calibration and validation J. Ingwersen et al. 10.1016/j.agrformet.2018.06.023
48. Quantifying the benefits of reducing synthetic nitrogen application policy on ecosystem carbon sequestration and biodiversity N. Devaraju et al. 10.1038/s41598-022-24794-2
49. Validation of a new global irrigation scheme in the land surface model ORCHIDEE v2.2 P. Arboleda-Obando et al. 10.5194/gmd-17-2141-2024
50. The GGCMI Phase 2 experiment: global gridded crop model simulations under uniform changes in CO<sub>2</sub>, temperature, water, and nitrogen levels (protocol version 1.0) J. Franke et al. 10.5194/gmd-13-2315-2020
51. Evaluating of simulated carbon flux phenology over a cropland ecosystem in a semiarid area of China with SiBcrop Q. Du et al. 10.1007/s00484-016-1207-y
52. Global patterns of crop yield stability under additional nutrient and water inputs C. Müller et al. 10.1371/journal.pone.0198748
53. Management outweighs climate change on affecting length of rice growing period for early rice and single rice in China during 1991–2012 X. Wang et al. 10.1016/j.agrformet.2016.10.016
54. Crop yield sensitivity of global major agricultural countries to droughts and the projected changes in the future G. Leng & J. Hall 10.1016/j.scitotenv.2018.10.434