OOIR: Observatory of International Research

Papers

(The H4-Index of Advances in Water Resources is 34. 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 2020-04-01 to 2024-04-01.)

Article	Citations
Machine learning in geo- and environmental sciences: From small to large scale	140
Prediction of droughts over Pakistan using machine learning algorithms	139
A review of SWAT applications, performance and future needs for simulation of hydro-climatic extremes	138
Physics-informed neural networks for multiphysics data assimilation with application to subsurface transport	138
PoreFlow-Net: A 3D convolutional neural network to predict fluid flow through porous media	124
Multiscale groundwater level forecasting: Coupling new machine learning approaches with wavelet transforms	108
Contact angle measurement for hydrogen/brine/sandstone system using captive-bubble method relevant for underground hydrogen storage	107
U-FNO—An enhanced Fourier neural operator-based deep-learning model for multiphase flow	88
Combining statistical machine learning models with ARIMA for water level forecasting: The case of the Red river	77
Sustainability of the blue water footprint of crops	65
Potential of satellite and reanalysis evaporation datasets for hydrological modelling under various model calibration strategies	62
Deep reinforcement learning for the real time control of stormwater systems	62
Generating high-resolution daily soil moisture by using spatial downscaling techniques: a comparison of six machine learning algorithms	62
Verification benchmarks for single-phase flow in three-dimensional fractured porous media	59
Urban pluvial flooding prediction by machine learning approaches – a case study of Shenzhen city, China	54
Beyond marsh drowning: The many faces of marsh loss (and gain)	52
A corrected cubic law for single-phase laminar flow through rough-walled fractures	50
A comparative study for H2	49
Pore-scale dynamics for underground porous media hydrogen storage	49
Identifying groundwater contaminant sources based on a KELM surrogate model together with four heuristic optimization algorithms	48
Multivariate remotely sensed and in-situ data assimilation for enhancing community WRF-Hydro model forecasting	47
DeePore: A deep learning workflow for rapid and comprehensive characterization of porous materials	46
A genetic programming-based model for drag coefficient of emergent vegetation in open channel flows	44
A coupled bio-chemo-hydraulic model to predict porosity and permeability reduction during microbially induced calcite precipitation	41
Improved pore network models to simulate single-phase flow in porous media by coupling with lattice Boltzmann method	40

A long Short-Term memory cyclic model with mutual information for hydrology forecasting: A Case study in the xixian basin	39
SPH modelling of turbulent open channel flow over and within natural gravel beds with rough interfacial boundaries	39
Predicting water retention of biochar-amended soil from independent measurements of biochar and soil properties	37
Pore-scale imaging with measurement of relative permeability and capillary pressure on the same reservoir sandstone sample under water-wet and mixed-wet conditions	37
Discontinuous and continuous Galerkin methods for compressible single-phase and two-phase flow in fractured porous media	36
An advanced discrete fracture model for variably saturated flow in fractured porous media	36
Improving watershed-based pore-network extraction method using maximum inscribed ball pore-body positioning	36
Many-objective optimization with improved shuffled frog leaping algorithm for inter-basin water transfers	34
Petrophysical characterization of deep saline aquifers for CO2 storage using ensemble smoother and deep convolutional autoencoder	34