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:

DeepSphere: Efficient spherical convolutional neural network with HEALPix sampling for cosmological applications
Nathanaël Perraudin, Michaël Defferrard, T. Kacprzak, et al.
Astronomy and Computing (2019) Vol. 27, pp. 130-146
Open Access | Times Cited: 86

Showing 1-25 of 86 citing articles:

WeatherBench: A Benchmark Data Set for Data‐Driven Weather Forecasting
Stephan Rasp, Peter Dueben, Sebastian Scher, et al.
Journal of Advances in Modeling Earth Systems (2020) Vol. 12, Iss. 11
Open Access | Times Cited: 399

Learning to predict the cosmological structure formation
Siyu He, Yin Li, Yu Feng, et al.
Proceedings of the National Academy of Sciences (2019) Vol. 116, Iss. 28, pp. 13825-13832
Open Access | Times Cited: 192

Gauge Equivariant Convolutional Networks and the Icosahedral CNN
Taco Cohen, Maurice Weiler, Berkay Kicanaoglu, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 173

Cosmological constraints with deep learning from KiDS-450 weak lensing maps
Janis Fluri, Tomasz Kacprzak, Aurélien Lucchi, et al.
Physical review. D/Physical review. D. (2019) Vol. 100, Iss. 6
Open Access | Times Cited: 125

Weak lensing cosmology with convolutional neural networks on noisy data
Dezső Ribli, Bálint Pataki, José Manuel Zorrilla Matilla, et al.
Monthly Notices of the Royal Astronomical Society (2019) Vol. 490, Iss. 2, pp. 1843-1860
Open Access | Times Cited: 89

Applications and Techniques for Fast Machine Learning in Science
A. M. Deiana, Nhan Viet Tran, Joshua Agar, et al.
Frontiers in Big Data (2022) Vol. 5
Open Access | Times Cited: 49

Conditional Local Convolution for Spatio-Temporal Meteorological Forecasting
Haitao Lin, Zhangyang Gao, Yongjie Xu, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 7, pp. 7470-7478
Open Access | Times Cited: 49

Geometric deep learning and equivariant neural networks
Jan E. Gerken, Jimmy Aronsson, Oscar Carlsson, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 12, pp. 14605-14662
Open Access | Times Cited: 25

DeepCMB: Lensing reconstruction of the cosmic microwave background with deep neural networks
João Caldeira, W. L. K. Wu, B. Nord, et al.
Astronomy and Computing (2019) Vol. 28, pp. 100307-100307
Open Access | Times Cited: 74

CNN Architectures for Geometric Transformation-Invariant Feature Representation in Computer Vision: A Review
Alhassan Mumuni, Fuseini Mumuni
SN Computer Science (2021) Vol. 2, Iss. 5
Closed Access | Times Cited: 45

Parameter estimation for the cosmic microwave background with Bayesian neural networks
Héctor J. Hortúa, Riccardo Volpi, Dimitri Marinelli, et al.
Physical review. D/Physical review. D. (2020) Vol. 102, Iss. 10
Open Access | Times Cited: 46

A Hybrid Deep Learning Approach to Cosmological Constraints from Galaxy Redshift Surveys
Michelle Ntampaka, Daniel J. Eisenstein, Sihan Yuan, et al.
The Astrophysical Journal (2020) Vol. 889, Iss. 2, pp. 151-151
Open Access | Times Cited: 45

DeepSphere: a graph-based spherical CNN
Michaël Defferrard, Martino Milani, Frédérick Gusset, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 44

Galactic Center Excess in a New Light: Disentangling the γ -Ray Sky with Bayesian Graph Convolutional Neural Networks
Florian List, Nicholas L. Rodd, Geraint F. Lewis, et al.
Physical Review Letters (2020) Vol. 125, Iss. 24
Open Access | Times Cited: 42

Vertex and energy reconstruction in JUNO with machine learning methods
Z. Qian, V. Belavin, V. L. Bokov, et al.
Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment (2021) Vol. 1010, pp. 165527-165527
Open Access | Times Cited: 39

Labeling lateral prefrontal sulci using spherical data augmentation and context-aware training
Ilwoo Lyu, Shunxing Bao, Lingyan Hao, et al.
NeuroImage (2021) Vol. 229, pp. 117758-117758
Open Access | Times Cited: 36

Large Scale Graph Learning from Smooth Signals
Vassilis Kalofolias, Nathanaël Perraudin
arXiv (Cornell University) (2017)
Open Access | Times Cited: 41

HexagDLy—Processing hexagonally sampled data with CNNs in PyTorch
Constantin Steppa, T. L. Holch
SoftwareX (2019) Vol. 9, pp. 193-198
Open Access | Times Cited: 38

Rotation Equivariant Graph Convolutional Network for Spherical Image Classification
Qin Yang, Chenglin Li, Wenrui Dai, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 4302-4311
Closed Access | Times Cited: 36

The OmniScape Dataset
Ahmed Rida Sekkat, Yohan Dupuis, Pascal Vasseur, et al.
(2020), pp. 1603-1608
Open Access | Times Cited: 36

Cosmological parameter estimation from large-scale structure deep learning
Shuyang Pan, Miaoxin Liu, J. E. Forero-Romero, et al.
Science China Physics Mechanics and Astronomy (2020) Vol. 63, Iss. 11
Open Access | Times Cited: 35

Natural Graph Networks
Pim de Haan, Taco Cohen, Max Welling
arXiv (Cornell University) (2020)
Open Access | Times Cited: 30

Convolutional neural networks on the HEALPix sphere: a pixel-based algorithm and its application to CMB data analysis
N. Krachmalnicoff, M. Tomasi
Astronomy and Astrophysics (2019) Vol. 628, pp. A129-A129
Open Access | Times Cited: 26

Power of halometry
Siddharth Mishra-Sharma, Ken Van Tilburg, Neal Weiner
Physical review. D/Physical review. D. (2020) Vol. 102, Iss. 2
Open Access | Times Cited: 26

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