OOIR: Observatory of International Research

Papers

(The TQCC of Mathematical Geosciences is 5. 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
GANSim: Conditional Facies Simulation Using an Improved Progressive Growing of Generative Adversarial Networks (GANs)	40
Robust Feature Extraction for Geochemical Anomaly Recognition Using a Stacked Convolutional Denoising Autoencoder	39
Graph Deep Learning Model for Mapping Mineral Prospectivity	38
A Coarse-to-Fine Approach for Intelligent Logging Lithology Identification with Extremely Randomized Trees	23
Classical and Robust Regression Analysis with Compositional Data	23
A Physically Constrained Variational Autoencoder for Geochemical Pattern Recognition	23
Fusion of Geochemical and Remote-Sensing Data for Lithological Mapping Using Random Forest Metric Learning	23
Three-Dimensional Structural Geological Modeling Using Graph Neural Networks	22
MIN3P-HPC: A High-Performance Unstructured Grid Code for Subsurface Flow and Reactive Transport Simulation	22
A Truly Spatial Random Forests Algorithm for Geoscience Data Analysis and Modelling	22
Quantifying the Tetrad Effect, Shape Components, and Ce–Eu–Gd Anomalies in Rare Earth Element Patterns	22
One Step at a Time: The Origins of Sequential Simulation and Beyond	20
Contaminant Source Identification in Aquifers: A Critical View	18
Statistical Interpolation of Spatially Varying but Sparsely Measured 3D Geo-Data Using Compressive Sensing and Variational Bayesian Inference	18
Stochastic Modelling of Mineral Exploration Targets	17
Entropy and Information Content of Geostatistical Models	16
Analysing Pairwise Logratios Revisited	15
Variational Autoencoder or Generative Adversarial Networks? A Comparison of Two Deep Learning Methods for Flow and Transport Data Assimilation	14
Finite Difference Implicit Structural Modeling of Geological Structures	14
Special Issue: Geostatistics and Machine Learning	13
Seismic Stratum Segmentation Using an Encoder–Decoder Convolutional Neural Network	13
Contaminant Spill in a Sandbox with Non-Gaussian Conductivities: Simultaneous Identification by the Restart Normal-Score Ensemble Kalman Filter	12
On the Use of Interferometric Synthetic Aperture Radar Data for Monitoring and Forecasting Natural Hazards	12
Bayesian Deep Learning for Spatial Interpolation in the Presence of Auxiliary Information	12
Multiple-Point Statistics Simulation Models: Pretty Pictures or Decision-Making Tools?	12

Compositional Data in Geostatistics: A Log-Ratio Based Framework to Analyze Regionalized Compositions	12
Diagenetic Facies Classification in the Arbuckle Formation Using Deep Neural Networks	11
Multivariate Outlier Detection in Applied Data Analysis: Global, Local, Compositional and Cellwise Outliers	11
Towards Geostatistical Learning for the Geosciences: A Case Study in Improving the Spatial Awareness of Spectral Clustering	11
Comparing Methods and Defining Practical Requirements for Extracting Harmonic Tidal Components from Groundwater Level Measurements	10
Construction and Application of a Knowledge Graph for Iron Deposits Using Text Mining Analytics and a Deep Learning Algorithm	10
Application of Bayesian Generative Adversarial Networks to Geological Facies Modeling	10
Boundary Identification and Surface Updates Using MWD	9
Temperature Dependence of the Permeability of Sandstone Under Loading and Unloading Conditions of Confining Pressure	9
Resource and Grade Control Model Updating for Underground Mining Production Settings	9
Spatiotemporal Precipitation Estimation from Rain Gauges and Meteorological Radar Using Geostatistics	9
Stochastic Inversion of Gravity Data Accounting for Structural Uncertainty	9
Comparison of Recursive Neural Network and Markov Chain Models in Facies Inversion	8
High-Order Data-Driven Spatial Simulation of Categorical Variables	8
A Comparison of Extremal Optimization, Differential Evolution and Particle Swarm Optimization Methods for Well Placement Design in Groundwater Management	8
A Graph Clustering Approach to Localization for Adaptive Covariance Tuning in Data Assimilation Based on State-Observation Mapping	8
Finite Element Solvers for Biot’s Poroelasticity Equations in Porous Media	8
Blind Source Separation for Compositional Time Series	8
Weighted Symmetric Pivot Coordinates for Compositional Data with Geochemical Applications	8
Three-Dimensional Refined Modelling of Deep Structures by Using the Level Set Method: Application to the Zhaoping Detachment Fault, Jiaodong Peninsula, China	8
Discriminant Analysis for Compositional Data Incorporating Cell-Wise Uncertainties	8
Revealing Geochemical Patterns Associated with Mineralization Using t-Distributed Stochastic Neighbor Embedding and Random Forest	7
Automated Machine Learning-Based Landslide Susceptibility Mapping for the Three Gorges Reservoir Area, China	7
Automatic Semivariogram Modeling by Convolutional Neural Network	7
Geological Mapping Using Direct Sampling and a Convolutional Neural Network Based on Geochemical Survey Data	7
Resource Model Updating For Compositional Geometallurgical Variables	7
Stochastic Inverse Modeling and Parametric Uncertainty of Sediment Deposition Processes Across Geologic Time Scales	7
Quantifying Mineral Resources and Their Uncertainty Using Two Existing Machine Learning Methods	7
Training Image Free High-Order Stochastic Simulation Based on Aggregated Kernel Statistics	7
Compositional Scalar-on-Function Regression with Application to Sediment Particle Size Distributions	7
Machine Learning-Based Mapping for Mineral Exploration	6
An Automatic Well Planner for Complex Well Trajectories	6
Enhancing Slope Stability Prediction Using Fuzzy and Neural Frameworks Optimized by Metaheuristic Science	6
Weighting of Parts in Compositional Data Analysis: Advances and Applications	6
Bayesian Decomposition Modelling: An Interpretable Nonlinear Approach for Mineral Prospectivity Mapping	6
Random Noise Attenuation by Self-supervised Learning from Single Seismic Data	6
New Validity Conditions for the Multivariate Matérn Coregionalization Model, with an Application to Exploration Geochemistry	6
Bridging Deep Convolutional Autoencoders and Ensemble Smoothers for Improved Estimation of Channelized Reservoirs	6
Stochastic Local Interaction Model: An Alternative to Kriging for Massive Datasets	6
A Spatial Correlation-Based Anomaly Detection Method for Subsurface Modeling	6
Stochastic Modeling of Subseismic Faults Conditioned on Displacement and Orientation Maps	6
Is Cell-to-Cell Scale Variability Necessary in Reservoir Models?	6
Conditional Simulation for Mineral Resource Classification and Mining Dilution Assessment from the Early 1990s to Now	5
An Interpretable Graph Attention Network for Mineral Prospectivity Mapping	5
Geographically Optimal Similarity	5
The Physical Meaning of the Koval Factor	5
A Hybrid Estimation Technique Using Elliptical Radial Basis Neural Networks and Cokriging	5
Deep Reinforcement Learning for Mineral Prospectivity Mapping	5
Connectivity in Pixel-Based Facies Models	5