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 2020-11-01 to 2024-11-01.)

Article	Citations
Graph Deep Learning Model for Mapping Mineral Prospectivity	55
Robust Feature Extraction for Geochemical Anomaly Recognition Using a Stacked Convolutional Denoising Autoencoder	46
GANSim: Conditional Facies Simulation Using an Improved Progressive Growing of Generative Adversarial Networks (GANs)	46
A Physically Constrained Variational Autoencoder for Geochemical Pattern Recognition	36
A Truly Spatial Random Forests Algorithm for Geoscience Data Analysis and Modelling	29
Contaminant Source Identification in Aquifers: A Critical View	28
Quantifying the Tetrad Effect, Shape Components, and Ce–Eu–Gd Anomalies in Rare Earth Element Patterns	28
Three-Dimensional Structural Geological Modeling Using Graph Neural Networks	25
Stochastic Modelling of Mineral Exploration Targets	21
Automated Machine Learning-Based Landslide Susceptibility Mapping for the Three Gorges Reservoir Area, China	20
Variational Autoencoder or Generative Adversarial Networks? A Comparison of Two Deep Learning Methods for Flow and Transport Data Assimilation	20
Bayesian Deep Learning for Spatial Interpolation in the Presence of Auxiliary Information	19
One Step at a Time: The Origins of Sequential Simulation and Beyond	19
Statistical Interpolation of Spatially Varying but Sparsely Measured 3D Geo-Data Using Compressive Sensing and Variational Bayesian Inference	19
Analysing Pairwise Logratios Revisited	18
Construction and Application of a Knowledge Graph for Iron Deposits Using Text Mining Analytics and a Deep Learning Algorithm	17
An Interpretable Graph Attention Network for Mineral Prospectivity Mapping	16
Special Issue: Geostatistics and Machine Learning	15
Seismic Stratum Segmentation Using an Encoder–Decoder Convolutional Neural Network	14
Application of Bayesian Generative Adversarial Networks to Geological Facies Modeling	14
Geographically Optimal Similarity	14
Multiple-Point Statistics Simulation Models: Pretty Pictures or Decision-Making Tools?	14
Contaminant Spill in a Sandbox with Non-Gaussian Conductivities: Simultaneous Identification by the Restart Normal-Score Ensemble Kalman Filter	14
On the Use of Interferometric Synthetic Aperture Radar Data for Monitoring and Forecasting Natural Hazards	14
Comparing Methods and Defining Practical Requirements for Extracting Harmonic Tidal Components from Groundwater Level Measurements	13

Three-Dimensional Refined Modelling of Deep Structures by Using the Level Set Method: Application to the Zhaoping Detachment Fault, Jiaodong Peninsula, China	12
Diagenetic Facies Classification in the Arbuckle Formation Using Deep Neural Networks	12
Machine Learning-Based Mapping for Mineral Exploration	12
High-Order Data-Driven Spatial Simulation of Categorical Variables	11
A Graph Clustering Approach to Localization for Adaptive Covariance Tuning in Data Assimilation Based on State-Observation Mapping	11
Revealing Geochemical Patterns Associated with Mineralization Using t-Distributed Stochastic Neighbor Embedding and Random Forest	10
Stochastic Inversion of Gravity Data Accounting for Structural Uncertainty	10
Geological Mapping Using Direct Sampling and a Convolutional Neural Network Based on Geochemical Survey Data	10
Compositional Scalar-on-Function Regression with Application to Sediment Particle Size Distributions	10
Enhancing Slope Stability Prediction Using Fuzzy and Neural Frameworks Optimized by Metaheuristic Science	10
Quantifying Mineral Resources and Their Uncertainty Using Two Existing Machine Learning Methods	9
Comparison of Recursive Neural Network and Markov Chain Models in Facies Inversion	9
Stochastic Local Interaction Model: An Alternative to Kriging for Massive Datasets	8
Automatic Semivariogram Modeling by Convolutional Neural Network	8
Training Image Free High-Order Stochastic Simulation Based on Aggregated Kernel Statistics	8
Deep Reinforcement Learning for Mineral Prospectivity Mapping	8
Bayesian Decomposition Modelling: An Interpretable Nonlinear Approach for Mineral Prospectivity Mapping	8
Missing Rainfall Daily Data: A Comparison Among Gap-Filling Approaches	8
Special Issue: Data-Driven Discovery in Geosciences: Opportunities and Challenges	7
New Validity Conditions for the Multivariate Matérn Coregionalization Model, with an Application to Exploration Geochemistry	7
A Monte Carlo-based Workflow for Geochemical Anomaly Identification Under Uncertainty and Global Sensitivity Analysis of Model Parameters	7
Conditional Simulation for Mineral Resource Classification and Mining Dilution Assessment from the Early 1990s to Now	7
Stochastic Inverse Modeling and Parametric Uncertainty of Sediment Deposition Processes Across Geologic Time Scales	7
Stochastic Modeling of Subseismic Faults Conditioned on Displacement and Orientation Maps	7
Advanced KNN Approaches for Explainable Seismic-Volcanic Signal Classification	7
Weighting of Parts in Compositional Data Analysis: Advances and Applications	7
Bridging Deep Convolutional Autoencoders and Ensemble Smoothers for Improved Estimation of Channelized Reservoirs	7
An Automatic Well Planner for Complex Well Trajectories	6
Prestack Bayesian Linearized Inversion with Decorrelated Prior Information	6
A Three-Dimensional Geological Structure Modeling Framework and Its Application in Machine Learning	6
Random Noise Attenuation by Self-supervised Learning from Single Seismic Data	6
Projection Pursuit Random Forest for Mineral Prospectivity Mapping	6
Crucial Geochemical Signal Identification for Cu-Fertile Magmas in Paleo-Tethyan Arc Based on Machine Learning	6
Supervised Mineral Prospectivity Mapping via Class-Balanced Focal Loss Function on Imbalanced Geoscience Datasets	6
Optimization of Subsurface Flow Operations Using a Dynamic Proxy Strategy	6
Space–Time Landslide Susceptibility Modeling Based on Data-Driven Methods	5
Modeling of the Correlation Between Mineral Size and Shale Pore Structure at Meso- and Macroscales	5
A Rapid Updating Method to Predict Grade Heterogeneity at Smaller Scales	5
A Hybrid Estimation Technique Using Elliptical Radial Basis Neural Networks and Cokriging	5
Connectivity in Pixel-Based Facies Models	5
Sensitivity Analysis of Discrete Fracture Network Connectivity Characteristics	5
Geostatistical Rock Physics Inversion for Predicting the Spatial Distribution of Porosity and Saturation in the Critical Zone	5
A Machine Learning Approach for Material Type Logging and Chemical Assaying from Autonomous Measure-While-Drilling (MWD) Data	5