OOIR: Observatory of International Research

Papers

(The H4-Index of Journal of Hydrology is 74. 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 2020-06-01 to 2024-06-01.)

Article	Citations
A survey on river water quality modelling using artificial intelligence models: 2000–2020	330
Short-term runoff prediction with GRU and LSTM networks without requiring time step optimization during sample generation	321
A review of remote sensing applications in agriculture for food security: Crop growth and yield, irrigation, and crop losses	239
Ensemble machine learning paradigms in hydrology: A review	237
Spatial prediction of groundwater potential mapping based on convolutional neural network (CNN) and support vector regression (SVR)	205
Evaluation of the ERA5 reanalysis precipitation dataset over Chinese Mainland	205
Cotransport of heavy metals and SiO2 particles at different temperatures by seepage	201
Least square support vector machine and multivariate adaptive regression splines for streamflow prediction in mountainous basin using hydro-meteorological data as inputs	163
A review of remote sensing applications for water security: Quantity, quality, and extremes	162
Flood susceptibility mapping with machine learning, multi-criteria decision analysis and ensemble using Dempster Shafer Theory	157
Acid mine drainage from coal mining in the United States – An overview	150
Long lead-time daily and monthly streamflow forecasting using machine learning methods	144
Decomposition ensemble model based on variational mode decomposition and long short-term memory for streamflow forecasting	140
Estimating daily reference evapotranspiration based on limited meteorological data using deep learning and classical machine learning methods	135
XGBoost-based method for flash flood risk assessment	134
A deep convolutional neural network model for rapid prediction of fluvial flood inundation	133
Research on particle swarm optimization in LSTM neural networks for rainfall-runoff simulation	128
A hybrid runoff generation modelling framework based on spatial combination of three runoff generation schemes for semi-humid and semi-arid watersheds	122
Wavelet based hybrid ANN-ARIMA models for meteorological drought forecasting	121
Real-time probabilistic forecasting of river water quality under data missing situation: Deep learning plus post-processing techniques	120
Predicting flood susceptibility using LSTM neural networks	119
Groundwater system and climate change: Present status and future considerations	115
Streamflow forecasting using extreme gradient boosting model coupled with Gaussian mixture model	115
Climate change impact on short-duration extreme precipitation and intensity–duration–frequency curves over Europe	106
Flood risk assessment using hybrid artificial intelligence models integrated with multi-criteria decision analysis in Quang Nam Province, Vietnam	106

Global data assessment and analysis of drought characteristics based on CMIP6	105
Coupling a hybrid CNN-LSTM deep learning model with a Boundary Corrected Maximal Overlap Discrete Wavelet Transform for multiscale Lake water level forecasting	104
Causes and implications of groundwater depletion in India: A review	104
A physical process and machine learning combined hydrological model for daily streamflow simulations of large watersheds with limited observation data	102
CatBoost: A new approach for estimating daily reference crop evapotranspiration in arid and semi-arid regions of Northern China	100
Rainfall-runoff modelling using improved machine learning methods: Harris hawks optimizer vs. particle swarm optimization	99
Coupling analysis of the heat-water dynamics and frozen depth in a seasonally frozen zone	99
Using an improved SWAT model to simulate hydrological responses to land use change: A case study of a catchment in tropical Australia	99
Convolutional neural network approach for spatial prediction of flood hazard at national scale of Iran	98
Improving streamflow prediction in the WRF-Hydro model with LSTM networks	98
Root zone soil moisture estimation with Random Forest	97
Novel hybrid intelligence models for flood-susceptibility prediction: Meta optimization of the GMDH and SVR models with the genetic algorithm and harmony search	96
Root-induced changes of soil hydraulic properties – A review	96
Forecasting of water level in multiple temperate lakes using machine learning models	95
A comparative analysis of statistical and machine learning techniques for mapping the spatial distribution of groundwater salinity in a coastal aquifer	95
Flash flood susceptibility modelling using functional tree and hybrid ensemble techniques	94
Water quality prediction using SWAT-ANN coupled approach	93
Do ERA5 and ERA5-land precipitation estimates outperform satellite-based precipitation products? A comprehensive comparison between state-of-the-art model-based and satellite-based precipitation produ	93
Evolutionary computational intelligence algorithm coupled with self-tuning predictive model for water quality index determination	90
A novel attention-based LSTM cell post-processor coupled with bayesian optimization for streamflow prediction	90
Climate change impacts on water resources in the Upper Blue Nile (Abay) River Basin, Ethiopia	89
Evaluating the performance of random forest for large-scale flood discharge simulation	88
Flood hazard mapping methods: A review	87
Merging multiple satellite-based precipitation products and gauge observations using a novel double machine learning approach	87
Investigating the impacts of climate change and human activities on hydrological drought using non-stationary approaches	86
Intensification of extreme precipitation in arid Central Asia	85
The key drivers for the changes in global water scarcity: Water withdrawal versus water availability	85
Using machine learning models, remote sensing, and GIS to investigate the effects of changing climates and land uses on flood probability	84
Radial basis function artificial neural network (RBF ANN) as well as the hybrid method of RBF ANN and grey relational analysis able to well predict trihalomethanes levels in tap water	83
Utilizing GRACE-based groundwater drought index for drought characterization and teleconnection factors analysis in the North China Plain	83
Adequacy of Satellite-derived Precipitation Estimate for Hydrological Modeling in Vietnam Basins	83
Regional hydrological frequency analysis at ungauged sites with random forest regression	82
Modelling of daily lake surface water temperature from air temperature: Extremely randomized trees (ERT) versus Air2Water, MARS, M5Tree, RF and MLPNN	81
Application of extreme gradient boosting and parallel random forest algorithms for assessing groundwater spring potential using DEM-derived factors	81
Spatial predicting of flood potential areas using novel hybridizations of fuzzy decision-making, bivariate statistics, and machine learning	80
Impact of land uses, drought, flood, wildfire, and cascading events on water quality and microbial communities: A review and analysis	79
Long-term rainfall prediction using atmospheric synoptic patterns in semi-arid climates with statistical and machine learning methods	79
Runoff changes in the major river basins of China and their responses to potential driving forces	79
Neurocomputing in surface water hydrology and hydraulics: A review of two decades retrospective, current status and future prospects	78
Understanding the effects of Digital Elevation Model resolution in urban fluvial flood modelling	77
Impacts of climate change and reservoir operation on streamflow and flood characteristics in the Lancang-Mekong River Basin	77
Evidence of shorter more extreme rainfalls and increased flood variability under climate change	77
A review of the effects of tunnel excavation on the hydrology, ecology, and environment in karst areas: Current status, challenges, and perspectives	77
Extreme value analysis dilemma for climate change impact assessment on global flood and extreme precipitation	77
Sub-regional groundwater storage recovery in North China Plain after the South-to-North water diversion project	76
Reference evapotranspiration estimating based on optimal input combination and hybrid artificial intelligent model: Hybridization of artificial neural network with grey wolf optimizer algorithm	76
Spatial-temporal variations in blue and green water resources, water footprints and water scarcities in a large river basin: A case for the Yellow River basin	75
Modelling the impacts of climate and land use change on water security in a semi-arid forested watershed using InVEST	75
Drought hazard transferability from meteorological to hydrological propagation	74