Astronomy and Computing

Papers
(The TQCC of Astronomy and Computing is 3. 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 2021-03-01 to 2025-03-01.)
ArticleCitations
The statistical OPEA models indicate an anomaly in the solar X-ray flare energy levels51
Search for the edge-on galaxies using an artificial neural network29
OPTICAM triple-channel astronomical image acquisition control software and external triggering synchronization system26
Calibration and testing strategies to correct atmospheric effects on star tracking algorithms25
DUG Insight: A software package for big-data analysis and visualisation, and its demonstration for passive radar space situational awareness using radio telescopes23
Editorial Board22
Deployment of a programming framework based on microservices and containers with application to the astrophysical domain21
Proving “new physics” by measuring cosmic ray fluxes20
Data-driven templates with dictionary learning and sparse representations for photometric redshift estimation19
STARFIRE: An algorithm for estimating radio frequency interference in orbits around Earth19
Stellar parameter estimation in O-type stars using artificial neural networks18
An UBVRI calibration method based on Pan-STARRS photometric survey17
A Real Time Processing system for big data in astronomy: Applications to HERA16
Astronomical source finding services for the CIRASA visual analytic platform16
Evolution of CMB temperature in a Chaplygin gas model from deep learning perspective16
Editorial Board15
Editorial Board13
The data center construction of the Xinjiang Astronomical Observatory based on virtual observatory standards12
TULIPS: A Tool for Understanding the Lives, Interiors, and Physics of Stars11
HiSS-Cube: A scalable framework for Hierarchical Semi-Sparse Cubes preserving uncertainties11
Editorial Board11
Automatic classification of eclipsing binary stars using deep learning methods11
Validation of denoising system using non-harmonic analysis and denoising convolutional neural network for removal of Gaussian noise from gravitational waves observed by LIGO11
A GPU-accelerated viewer for HEALPix maps10
A novel greedy approach to harmonic summing using GPUs10
β-SGP: Scaled Gradient Projection with 9
Towards asteroid detection in microlensing surveys with deep learning9
Synthetic light curves of exoplanet transit using nanosatellite data8
qrpca: A package for fast principal component analysis with GPU acceleration8
Detection of radio frequency interference using an improved generative adversarial network8
RUNMON-RIFT: Adaptive configuration and healing for large-scale parameter inference7
Addressing type Ia supernova color variability with a linear spectral template7
Sensitivity estimation for dark matter subhalos in synthetic Gaia DR2 using deep learning7
Improvement of pulsars detection using dataset balancing methods and symbolic classification ensemble6
Orbit classification in a galaxy model with a biaxial dark matter halo6
RFI-DRUnet: Restoring dynamic spectra corrupted by radio frequency interference—Application to pulsar observations6
Extended black hole solutions in Rastall theory of gravity6
Construct a realistic stellar model with polytropic relation6
Photometry+: Development of a photometric pipeline for the Great Basin Observatory robotic telescope5
Machine learning techniques applied to solar flares forecasting5
Photometric data-driven classification of Type Ia supernovae in the open Supernova Catalog5
CoLiTecVS software for the automated reduction of photometric observations in CCD-frames5
Orbital dynamics of a binary system composed of a massive star and a black hole companion5
Bulirsh–Stoer algorithm in the planar restricted three-body problem5
Observational constraints in modified Chaplygin gas cosmological model5
A proof-of-concept neural network for inferring parameters of a black hole from partial interferometric images of its shadow5
Effective detection of variable celestial objects using machine learning-based periodic analysis5
The astorb database at Lowell Observatory5
Multi-dimensional time-series subsequence clustering for visual feature analysis of blazar observation datasets5
A machine learning approach to the detection of ghosting and scattered light artifacts in dark energy survey images5
TheHaloMod: An online calculator for the halo model5
Systematic biases when using deep neural networks for annotating large catalogs of astronomical images5
Editorial Board5
Observational constraints on Hubble parameter in Sáez Ballester theory5
Characterization of ground-based telescope control systems: A systematic mapping study4
Editorial Board4
Galaxy morphology classification using neural ordinary differential equations4
Cosmic voids in GAN-generated maps of large-scale structure4
Machine learning methods for the search for L&T brown dwarfs in the data of modern sky surveys4
Editorial Board4
Accelerating universe in f(R4
Galmoss: A package for GPU-accelerated galaxy profile fitting4
The AGILEScience mobile application for the AGILE space mission4
A fast and time-efficient glitch classification method: A deep learning-based visual feature extractor for machine learning algorithms4
A robust fitness function and genetic algorithm to morphologically constrain the dynamics of interacting galaxies4
Determining research priorities using machine learning4
An investigation of the relationship between the CME and the Geomagnetic Storm4
Description of a RFI mitigation pipeline for the FAST 19-beam receiver4
An innovative tool for automating classification of stellar variability through nonlinear data analytics4
GEPINN: An innovative hybrid method for a symbolic solution to the Lane–Emden type equation based on grammatical evolution and physics-informed neural networks4
Machine Learning methods in Astronomy4
Study on outliers in the big stellar spectral dataset of the fifth data release (DR5) of the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST)4
Late time phantom characteristic of the model in f(4
Machine learning-based seeing estimation and prediction using multi-layer meteorological data at Dome A, Antarctica4
Analysis of thermal geometries on slowly rotating black holes in 4D Gauss–Bonnet gravity3
Low mass X-ray binary simulation data release3
On the equilibrium points of the collinear restricted 4-body problem with non-spherical bodies3
Interaction of bodies in the circular restricted 3-body problem with variable mass3
Classification algorithms applied to structure formation simulations3
Removing aliases in time-series photometry3
Continuous Simulation Data Stream: A dynamical timescale-dependent output scheme for simulations3
Graph Theoretical Analysis of local ultraluminous infrared galaxies and quasars3
GPU-enabled searches for periodic signals of unknown shape3
Score-matching neural networks for improved multi-band source separation3
Cosmic analysis of a model in higher-order gravity theory3
Rosetta: A container-centric science platform for resource-intensive, interactive data analysis3
Investigating the suitability of data-driven methods for extracting physical parameters in cosmological models3
Dark Matter Subhalo interpretations using machine learning: The fourth Fermi-LAT catalog3
Spiral-Elliptical automated galaxy morphology classification from telescope images3
Editorial Board3
Kernel-based emulator for the 3D matter power spectrum from CLASS3
A robust model for flux density calculations of radio halos in galaxy clusters: Halo-FDCA3
Pytearcat: PYthon TEnsor AlgebRa calCulATor A python package for general relativity and tensor calculus3
On detection of BaO molecular lines in sunspot spectrum3
Deep Learning LSTM-based approaches for 10.7 cm solar radio flux forecasting up to 45-days3
DarsakX: A Python package for designing and analyzing imaging performance of X-ray telescopes3
CELEBI: The CRAFT Effortless Localisation and Enhanced Burst Inspection pipeline3
Planetary orbital mapping and mosaicking (POMM) integrated open source software environment3
Detection of extragalactic Ultra-compact dwarfs and Globular Clusters using Explainable AI techniques3
The Locus Algorithm: The design, implementation and performance characterisation of a software and grid computing system to optimise the quality of fields of view for differential photometry3
Microlensing model inference with normalising flows and reversible jump MCMC3
Editorial Board3
Estimation of orbital parameters from (u,3
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