OOIR: Observatory of International Research

Papers

(The H4-Index of Agricultural and Forest Meteorology is 43. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)

Article	Citations
Integrating Multi-Source Data for Rice Yield Prediction across China using Machine Learning and Deep Learning Approaches	163
Representativeness of Eddy-Covariance flux footprints for areas surrounding AmeriFlux sites	153
Tree mortality of European beech and Norway spruce induced by 2018-2019 hot droughts in central Germany	120
Increasing Tibetan Plateau terrestrial evapotranspiration primarily driven by precipitation	112
Attribution of climate and human activities to vegetation change in China using machine learning techniques	102
Impact of recent vegetation greening on temperature and precipitation over China	97
An LSTM neural network for improving wheat yield estimates by integrating remote sensing data and meteorological data in the Guanzhong Plain, PR China	88
Evolution of light use efficiency models: Improvement, uncertainties, and implications	86
Contributions of climate change, elevated atmospheric CO2 and human activities to ET and GPP trends in the Three-North Region of China	82
Diffuse solar radiation and canopy photosynthesis in a changing environment	80
NIRv and SIF better estimate phenology than NDVI and EVI: Effects of spring and autumn phenology on ecosystem production of planted forests	80
Moving beyond the incorrect but useful paradigm: reevaluating big-leaf and multilayer plant canopies to model biosphere-atmosphere fluxes – a review	79
Effect of shrub encroachment on land surface temperature in semi-arid areas of temperate regions of the Northern Hemisphere	72
The role of climate change and vegetation greening on evapotranspiration variation in the Yellow River Basin, China	66
Integrating satellite-derived climatic and vegetation indices to predict smallholder maize yield using deep learning	60
Estimation of actual evapotranspiration and its components in an irrigated area by integrating the Shuttleworth-Wallace and surface temperature-vegetation index schemes using the particle swarm optimi	60
Monitoring drought impacts on crop productivity of the U.S. Midwest with solar-induced fluorescence: GOSIF outperforms GOME-2 SIF and MODIS NDVI, EVI, and NIRv	60
Responses of vegetation greenness and carbon cycle to extreme droughts in China	58
Response of vegetation to drought in the Tibetan Plateau: Elevation differentiation and the dominant factors	58
Evaluation of ecosystem resilience to drought based on drought intensity and recovery time	57
Regional contributions to interannual variability of net primary production and climatic attributions	57
Warmer spring alleviated the impacts of 2018 European summer heatwave and drought on vegetation photosynthesis	56
GRACE-based high-resolution propagation threshold from meteorological to groundwater drought	54
Bayesian Multi-modeling of Deep Neural Nets for Probabilistic Crop Yield Prediction	54
Water Availability Impacts on Evapotranspiration Partitioning	53

Machine learning in crop yield modelling: A powerful tool, but no surrogate for science	53
Global spatiotemporal consistency between meteorological and soil moisture drought indices	52
Vegetation structural change and CO2 fertilization more than offset gross primary production decline caused by reduced solar radiation in China	52
Early season prediction of within-field crop yield variability by assimilating CubeSat data into a crop model	52
Water use efficiency and its drivers in four typical agroecosystems based on flux tower measurements	52
Legacy effects of spring phenology on vegetation growth under preseason meteorological drought in the Northern Hemisphere	51
Spatiotemporal patterns of maize drought stress and their effects on biomass in the Northeast and North China Plain from 2000 to 2019	51
Modelling wheat yield with antecedent information, satellite and climate data using machine learning methods in Mexico	50
Divergent impacts of atmospheric water demand on gross primary productivity in three typical ecosystems in China	49
Precipitation dominates the transpiration of both the economic forest (Malus pumila) and ecological forest (Robinia pseudoacacia) on the Loess Plateau after about 15 years of water depletion in deep s	48
Response of global land evapotranspiration to climate change, elevated CO2, and land use change	47
Elevation dependence of drought legacy effects on vegetation greenness over the Tibetan Plateau	45
Assessing bi-directional effects on the diurnal cycle of measured solar-induced chlorophyll fluorescence in crop canopies	45
An Unmanned Aerial System (UAS) for concurrent measurements of solar-induced chlorophyll fluorescence and hyperspectral reflectance toward improving crop monitoring	45
Canopy clumping index (CI): A review of methods, characteristics, and applications	45
Contrasting adaptive strategies by Caragana korshinskii and Salix psammophila in a semiarid revegetated ecosystem	44
A parametric multivariate drought index for drought monitoring and assessment under climate change	44
Combining multi-indicators with machine-learning algorithms for maize yield early prediction at the county-level in China	43
Drought assessment of China in 2002–2017 based on a comprehensive drought index	43
Microclimatic edge-to-interior gradients of European deciduous forests	43