Open Access Helper

OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

DeepAstroUDA: Semi-Supervised Universal Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection
Aleksandra Ćiprijanović, Ashia Lewis, K. Pedro, et al.
Machine Learning Science and Technology (2023) Vol. 4, Iss. 2, pp. 025013-025013
Open Access | Times Cited: 9

Showing 9 citing articles:

Evaluation of the Impact of Morphological Differences on Scale Effects in Green Tide Area Estimation
Ke Wu, Tao Xie, Jian Li, et al.
Remote Sensing (2025) Vol. 17, Iss. 2, pp. 326-326
Open Access
Enhancing Yarn Quality Wavelength Spectrogram Analysis: A Semi-Supervised Anomaly Detection Approach with Convolutional Autoencoder
H Wang, Zhongze Han, Xiaoshuang Xiong, et al.
Machines (2024) Vol. 12, Iss. 5, pp. 309-309
Open Access | Times Cited: 3
A brief review of contrastive learning applied to astrophysics
Marc Huertas-Company, Regina Sarmiento, J. H. Knapen
RAS Techniques and Instruments (2023) Vol. 2, Iss. 1, pp. 441-452
Open Access | Times Cited: 7
Data compression and inference in cosmology with self-supervised machine learning
Aizhan Akhmetzhanova, Siddharth Mishra-Sharma, Cora Dvorkin
Monthly Notices of the Royal Astronomical Society (2023) Vol. 527, Iss. 3, pp. 7459-7481
Open Access | Times Cited: 7
From images to features: unbiased morphology classification via variational auto-encoders and domain adaptation
Quanfeng Xu, Shiyin Shen, Rafael S. de Souza, et al.
Monthly Notices of the Royal Astronomical Society (2023) Vol. 526, Iss. 4, pp. 6391-6400
Open Access | Times Cited: 5
Ask the machine: systematic detection of wind-type outflows in low-mass X-ray binaries
D. Mata Sánchez, T. Muñoz‐Darias, J. Casares, et al.
Monthly Notices of the Royal Astronomical Society (2023) Vol. 524, Iss. 1, pp. 338-350
Open Access | Times Cited: 5
Exploring the Universe with SNAD: Anomaly Detection in Astronomy
A. Volnova, P. Aleo, Anastasia Lavrukhina, et al.
Communications in computer and information science (2024), pp. 195-208
Open Access | Times Cited: 1
Deep learning cosmic ray transport from density maps of simulated, turbulent gas
Chad Bustard, John F. Wu
Machine Learning Science and Technology (2024) Vol. 5, Iss. 1, pp. 015028-015028
Open Access
Machine learning methods for extracting cosmological information
Natalí S. M. de Santi
(2024)
Open Access
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