Computers & Geosciences

Papers
(The TQCC of Computers & Geosciences is 10. 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.)
ArticleCitations
Integration of convolutional neural network and conventional machine learning classifiers for landslide susceptibility mapping180
Comparative study of landslide susceptibility mapping with different recurrent neural networks167
ResIPy, an intuitive open source software for complex geoelectrical inversion/modeling100
Evaluation of machine learning methods for lithology classification using geophysical data94
A review of Earth Artificial Intelligence78
“sen2r”: An R toolbox for automatically downloading and preprocessing Sentinel-2 satellite data74
PINNeik: Eikonal solution using physics-informed neural networks68
A novel cellular automata model integrated with deep learning for dynamic spatio-temporal land use change simulation66
Recognizing multivariate geochemical anomalies for mineral exploration by combining deep learning and one-class support vector machine63
Strip pooling channel spatial attention network for the segmentation of cloud and cloud shadow62
Deep learning-based method for SEM image segmentation in mineral characterization, an example from Duvernay Shale samples in Western Canada Sedimentary Basin60
A comparative machine learning study for time series oil production forecasting: ARIMA, LSTM, and Prophet57
A new strategy for spatial predictive mapping of mineral prospectivity: Automated hyperparameter tuning of random forest approach53
Combining a class-weighted algorithm and machine learning models in landslide susceptibility mapping: A case study of Wanzhou section of the Three Gorges Reservoir, China50
Knowledge graph construction and application in geosciences: A review48
Hybrid geological modeling: Combining machine learning and multiple-point statistics46
Semantic segmentation of high-resolution remote sensing images based on a class feature attention mechanism fused with Deeplabv3+46
A comparative study of machine learning and Fuzzy-AHP technique to groundwater potential mapping in the data-scarce region45
Deep learning of rock images for intelligent lithology identification45
The effect of calibration data length on the performance of a conceptual hydrological model versus LSTM and GRU: A case study for six basins from the CAMELS dataset45
Developing comprehensive geocomputation tools for landslide susceptibility mapping: LSM tool pack45
Identifying microseismic events in a mining scenario using a convolutional neural network44
Machine learning in ground motion prediction44
Imputation of missing well log data by random forest and its uncertainty analysis41
Deep generative models in inversion: The impact of the generator's nonlinearity and development of a new approach based on a variational autoencoder40
Inversion of 1D frequency- and time-domain electromagnetic data with convolutional neural networks39
A positive and unlabeled learning algorithm for mineral prospectivity mapping39
3D geological structure inversion from Noddy-generated magnetic data using deep learning methods38
A machine learning methodology for multivariate pore-pressure prediction38
Deep convolutional neural network for automatic fault recognition from 3D seismic datasets37
Numerical modelling of deep coaxial borehole heat exchangers in the Cheshire Basin, UK37
A hybrid prediction model of landslide displacement with risk-averse adaptation35
A stacking methodology of machine learning for 3D geological modeling with geological-geophysical datasets, Laochang Sn camp, Gejiu (China)34
Flood monitoring by integration of Remote Sensing technique and Multi-Criteria Decision Making method34
EMagPy: Open-source standalone software for processing, forward modeling and inversion of electromagnetic induction data34
Aboveground biomass estimates of tropical mangrove forest using Sentinel-1 SAR coherence data - The superiority of deep learning over a semi-empirical model34
Spatiotemporal causal convolutional network for forecasting hourly PM2.5 concentrations in Beijing, China33
Real-time water level monitoring using live cameras and computer vision techniques32
Multimodal imaging and machine learning to enhance microscope images of shale32
A new structure for representing and tracking version information in a deep time knowledge graph32
Petrographic microfacies classification with deep convolutional neural networks31
A general approach to seismic inversion with automatic differentiation30
DeepRivWidth : Deep learning based semantic segmentation approach for river identification and width measurement in SAR images of Coastal Karnataka30
Landslide susceptibility prediction based on image semantic segmentation30
A comparative study of wavelet-based ANN and classical techniques for geophysical time-series forecasting29
Principal component analysis (PCA) based hybrid models for the accurate estimation of reservoir water saturation29
3D CNN-PCA: A deep-learning-based parameterization for complex geomodels29
Characterization of pore and grain size distributions in porous geological samples – An image processing workflow27
Deep learning-based image classification for online multi-coal and multi-class sorting27
Application of deep learning for semantic segmentation of sandstone thin sections25
Automated recognition by multiple convolutional neural networks of modern, fossil, intact and damaged pollen grains25
Learning 3D mineral prospectivity from 3D geological models using convolutional neural networks: Application to a structure-controlled hydrothermal gold deposit25
Improving the classification of flood tweets with contextual hydrological information in a multimodal neural network24
Seismic fault detection using convolutional neural networks with focal loss24
Improved estimation of coalbed methane content using the revised estimate of depth and CatBoost algorithm: A case study from southern Sichuan Basin, China23
Automatic picking of multi-mode surface-wave dispersion curves based on machine learning clustering methods23
Landslide susceptibility assessment using weights-of-evidence model and cluster analysis along the highways in the Hubei section of the Three Gorges Reservoir Area23
Mineral prospectivity mapping using a joint singularity-based weighting method and long short-term memory network22
Probabilistic logging lithology characterization with random forest probability estimation22
Ontology-driven representation of knowledge for geological maps22
A geologically-constrained deep learning algorithm for recognizing geochemical anomalies22
Dynamic committee machine with fuzzy-c-means clustering for total organic carbon content prediction from wireline logs22
Dune migration and volume change from airborne LiDAR, terrestrial LiDAR and Structure from Motion-Multi View Stereo22
Applications of data augmentation in mineral prospectivity prediction based on convolutional neural networks21
Random noise attenuation in seismic data using Hankel sparse low-rank approximation21
Explainable artificial intelligence in geoscience: A glimpse into the future of landslide susceptibility modeling21
ENN-SA: A novel neuro-annealing model for multi-station drought prediction21
An open-source multiphysics simulation code for coupled problems in porous media21
A hybrid approach for El Niño prediction based on Empirical Mode Decomposition and convolutional LSTM Encoder-Decoder21
Impact of dataset size and convolutional neural network architecture on transfer learning for carbonate rock classification21
3D model generated from UAV photogrammetry and semi-automated rock mass characterization20
MudrockNet: Semantic segmentation of mudrock SEM images through deep learning20
BP neural network and improved differential evolution for transient electromagnetic inversion20
Rock thin sections identification based on improved squeeze-and-Excitation Networks model19
Bagging-based positive-unlabeled learning algorithm with Bayesian hyperparameter optimization for three-dimensional mineral potential mapping19
PDAL: An open source library for the processing and analysis of point clouds19
Discontinuity interpretation and identification of potential rockfalls for high-steep slopes based on UAV nap-of-the-object photogrammetry19
Improved well log classification using semisupervised Gaussian mixture models and a new hyper-parameter selection strategy19
3D modeling of ground-penetrating radar data across a realistic sedimentary model19
A comparison of isometric and amalgamation logratio balances in compositional data analysis19
3D lithological mapping of borehole descriptions using word embeddings19
SMART mineral mapping: Synchrotron-based machine learning approach for 2D characterization with coupled micro XRF-XRD19
powdR: An R package for quantitative mineralogy using full pattern summation of X-ray powder diffraction data18
Deep learning in denoising of micro-computed tomography images of rock samples18
Web-based machine learning tool that determines the origin of natural gases18
Study on offshore seabed sediment classification based on particle size parameters using XGBoost algorithm18
Random forests-based error-correction of streamflow from a large-scale hydrological model: Using model state variables to estimate error terms18
Hybrid parallel framework for multiple-point geostatistics on Tianhe-2: A robust solution for large-scale simulation18
Well-to-well correlation and identifying lithological boundaries by principal component analysis of well-logs18
1D geological imaging of the subsurface from geophysical data with Bayesian Evidential Learning17
Optimization of support vector machine parameters in modeling of Iju deposit mineralization and alteration zones using particle swarm optimization algorithm and grid search method17
A tutorial and open source software for the efficient evaluation of gravity and magnetic kernels17
A locally conservative mixed finite element framework for coupled hydro-mechanical–chemical processes in heterogeneous porous media17
Mapping Phenological Functional Types (PhFT) in the Indian Eastern Himalayas using machine learning algorithm in Google Earth Engine17
PICOSS: Python Interface for the Classification of Seismic Signals17
Application of group decision-making AHP of confidence index and cloud model for rock slope stability evaluation17
GravPSO2D: A Matlab package for 2D gravity inversion in sedimentary basins using the Particle Swarm Optimization algorithm17
A statistical analysis of lossily compressed climate model data17
Direct forecasting of global and spatial model parameters from dynamic data17
GeospatialVR: A web-based virtual reality framework for collaborative environmental simulations16
A critical review of discontinuity plane extraction from 3D point cloud data of rock mass surfaces16
Classification of earthquakes, explosions and mining-induced earthquakes based on XGBoost algorithm16
Modeling transport of charged species in pore networks: Solution of the Nernst–Planck equations coupled with fluid flow and charge conservation equations16
Mapping Himalayan leucogranites using a hybrid method of metric learning and support vector machine16
Random-forest based adjusting method for wind forecast of WRF model16
Joint event location and velocity model update in real-time for downhole microseismic monitoring: A deep learning approach16
Disaster damage assessment based on fine-grained topics in social media15
DeepQuake — An application of CNN for seismo-acoustic event classification in The Netherlands15
A partial convolution-based deep-learning network for seismic data regularization115
atakrig: An R package for multivariate area-to-area and area-to-point kriging predictions15
Understanding geological reports based on knowledge graphs using a deep learning approach15
SupPhreeqc: A program for generating customized Phreeqc thermodynamic datasets from Supcrtbl and extending calculations to elevated pressures and temperatures14
Automated crater detection with human level performance14
SeisElastic2D: An open-source package for multiparameter full-waveform inversion in isotropic-, anisotropic- and visco-elastic media14
Enhancing digital rock image resolution with a GAN constrained by prior and perceptual information14
Multi-domain diffraction identification: A supervised deep learning technique for seismic diffraction classification14
Siamese Adversarial Network for image classification of heavy mineral grains14
De-aliased seismic data interpolation using conditional Wasserstein generative adversarial networks14
Magnetic anomaly detection of adjacent parallel pipelines using deep learning neural networks14
Gravity inversion of basement relief using Particle Swarm Optimization by automated parameter selection of Fourier coefficients14
Automated extraction of in situ contact angles from micro-computed tomography images of porous media14
Multi-layer perceptron-based tectonic discrimination of basaltic rocks and an application on the Paleoproterozoic Xiong'er volcanic province in the North China Craton14
Quality control of microseismic P-phase arrival picks in coal mine based on machine learning14
Segmentation of ore and waste rocks in borehole images using the multi-module densely connected U-net14
3D magnetotelluric modeling using high-order tetrahedral Nédélec elements on massively parallel computing platforms14
A spatial-compositional feature fusion convolutional autoencoder for multivariate geochemical anomaly recognition13
Tree segmentation and change detection of large urban areas based on airborne LiDAR13
Complex-valued neural networks for machine learning on non-stationary physical data13
Image-based rock typing using grain geometry features13
Coupled physics-deep learning inversion13
Analyzing continuous infrasound from Stromboli volcano, Italy using unsupervised machine learning13
Recursive convolutional neural networks in a multiple-point statistics framework13
Effective training strategies for deep-learning-based precipitation nowcasting and estimation13
3D rock fabric analysis using micro-tomography: An introduction to the open-source TomoFab MATLAB code12
Accelerating geostatistical modeling using geostatistics-informed machine Learning12
Application of multivariate geostatistics for local-scale lithological mapping – case study of pelagic surface sediments from the Clarion-Clipperton Fracture Zone, north-eastern equatorial Pacific (In12
Modified-mean-shift-based noisy label detection for hyperspectral image classification12
A tracer-based algorithm for automatic generation of seafloor age grids from plate tectonic reconstructions12
GPU acceleration of MPAS microphysics WSM6 using OpenACC directives: Performance and verification12
PSO-WELLSVM: An integrated method and its application in urban waterlogging susceptibility assessment in the central Wuhan, China12
Spatial modelling of hydrothermal mineralization-related geochemical patterns using INLA+SPDE and local singularity analysis12
Deep geothermal energy in northern England: Insights from 3D finite difference temperature modelling12
Identifying microseismic events using a dual-channel CNN with wavelet packets decomposition coefficients12
Numerical dispersion and dissipation of the triangle-based discontinuous Galerkin method for acoustic and elastic velocity-stress equations12
LinkClimate: An interoperable knowledge graph platform for climate data12
Inferring fracture forming processes by characterizing fracture network patterns with persistent homology12
Integrating scientific knowledge into machine learning using interactive decision trees12
Spatial prediction of oil and gas distribution using Tree Augmented Bayesian network11
Three-dimensional magnetotelluric modeling using the finite element model reduction algorithm11
Accelerating the Lagrangian particle tracking of residence time distributions and source water mixing towards large scales11
Acoustic Sediment Estimation Toolbox (ASET): A software package for calibrating and processing TRDI ADCP data to compute suspended-sediment transport in sandy rivers11
Reliable Euler deconvolution estimates throughout the vertical derivatives of the total-field anomaly11
TITIPy: A Python tool for the calculation and mapping of topside ionosphere turbulence indices11
Fractal dimension of India using multicore parallel processing11
Noise suppression method based on multi-scale Dilated Convolution Network in desert seismic data11
Automated segmentation of textured dust storms on mars remote sensing images using an encoder-decoder type convolutional neural network11
The application of machine learning methods to aggregate geochemistry predicts quarry source location: An example from Ireland11
AnalyZr: A Python application for zircon grain image segmentation and shape analysis11
Semi-supervised label propagation for multi-source remote sensing image change detection11
GROOPS: A software toolkit for gravity field recovery and GNSS processing11
Classification, segmentation and correlation of zoned minerals11
Reconstructing porous media using generative flow networks11
Land use/land cover recognition in arid zone using A multi-dimensional multi-grained residual Forest☆10
Design of an expert distance metric for climate clustering: The case of rainfall in the Lesser Antilles10
Automatic detection of Ionospheric Alfvén Resonances in magnetic spectrograms using U-net10
MLFC-net: A multi-level feature combination attention model for remote sensing scene classification10
Grav3CH_inv: A GUI-based MATLAB code for estimating the 3-D basement depth structure of sedimentary basins with vertical and horizontal density variation10
A geostatistical implicit modeling framework for uncertainty quantification of 3D geo-domain boundaries: Application to lithological domains from a porphyry copper deposit10
Upgraded software for structural gravity inversion and application to El Hierro (Canary Islands)10
A Reinforcement Learning approach to the location of the non-circular critical slip surface of slopes10
Three-dimensional magnetotelluric modeling in general anisotropic media using nodal-based unstructured finite element method10
New Fuzzy-AHP Matlab based graphical user interface (GUI) for a broad range of users: Sample applications in the environmental field10
An improved extreme learning machine algorithm for transient electromagnetic nonlinear inversion10
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