OOIR: Observatory of International Research

Papers

(The H4-Index of Computers & Geosciences is 36. 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 2021-05-01 to 2025-05-01.)

Article	Citations
Imputation of missing values in well log data using k-nearest neighbor collaborative filtering	136
Association Announcement 2023 Felix Chayes Prize	120
A deep learning-based parametric inversion for forecasting water-filled bodies position using electromagnetic method	101
Qmin – A machine learning-based application for processing and analysis of mineral chemistry data	96
Borehole lithology modelling with scarce labels by deep transductive learning	91
Compression of seismic forward modeling wavefield using TuckerMPI	88
Classifying tree species in the plantations of southern China based on wavelet analysis and mathematical morphology	75
An improved extreme learning machine algorithm for transient electromagnetic nonlinear inversion	73
MineralImage5k: A benchmark for zero-shot raw mineral visual recognition and description	73
Learning spatial patterns with variational Gaussian processes: Regression	72
DRR: An open-source multi-platform package for the damped rank-reduction method and its applications in seismology	69
Stochastic Gradient Descent optimization to estimate the power-law fractal index in fracture networks	66
Efficient and robust Levenberg–Marquardt Algorithm based on damping parameters for parameter inversion in underground metal target detection	65
Swin Transformer for simultaneous denoising and interpolation of seismic data	62
Shear wave velocity prediction based on bayesian-optimized multi-head attention mechanism and CNN-BiLSTM	59
Impact of dataset size and convolutional neural network architecture on transfer learning for carbonate rock classification	57
A high-resolution panchromatic-multispectral satellite image fusion method assisted with building segmentation	55
Enhanced lithological mapping in arid crystalline regions using explainable AI and multi-spectral remote sensing data	54
Modified-mean-shift-based noisy label detection for hyperspectral image classification	53
Core-CT: A MATLAB application for the quantitative analysis of sediment and coral cores from X-ray computed tomography (CT)	52
Graph neural network-based topological relationships automatic identification of geological boundaries	52
Enhancing digital rock image resolution with a GAN constrained by prior and perceptual information	51
Adversarial learning of permanent seismic deformation from GNSS coordinate timeseries	49
Asymmetric learning based deep denoiser for nonstationary desert seismic noise suppression	49
Computing dip-angle gathers using Poynting vector for elastic reverse time migration in 2D transversely isotropic media	49

Shale sample permeability estimation using fractal parameters computed from TransUnet-based SEM image segmentation	49
Understanding geological reports based on knowledge graphs using a deep learning approach	46
Is attention all geosciences need? Advancing quantitative petrography with attention-based deep learning	46
genES-MDA: A generic open-source software package to solve inverse problems via the Ensemble Smoother with Multiple Data Assimilation	43
Dimension shifting based intelligent algorithm framework to solve conditional nonlinear optimal perturbation	42
Sample size effects on landslide susceptibility models: A comparative study of heuristic, statistical, machine learning, deep learning and ensemble learning models with SHAP analysis	42
Simulation and reconstruction for 3D elastic wave using multi-GPU and CUDA-aware MPI	41
Validation of a multicomponent reactive-transport model at pore scale based on the coupling of COMSOL and PhreeqC	41
SAIPy: A Python package for single-station earthquake monitoring using deep learning	39
3D edge-based and nodal finite element modeling of magnetotelluric in general anisotropic media	38
Superpixel segmentations for thin sections: Evaluation of methods to enable the generation of machine learning training data sets	37
HPC cluster-based user-defined data integration platform for deep learning in geoscience applications	36