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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:

A Bayesian generative neural network framework for epidemic inference problems
Indaco Biazzo, Alfredo Braunstein, Luca Dall’Asta, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 14

Showing 14 citing articles:

Learning nonequilibrium statistical mechanics and dynamical phase transitions
Ying Tang, Jing Liu, Jiang Zhang, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 10
New trends on the systems approach to modeling SARS-CoV-2 pandemics in a globally connected planet
Giulia Bertaglia, Andrea Bondesan, Diletta Burini, et al.
Mathematical Models and Methods in Applied Sciences (2024) Vol. 34, Iss. 11, pp. 1995-2054
Open Access | Times Cited: 8
Machine learning stochastic dynamics
Ying Tang
Zhongguo kexue. Wulixue Lixue Tianwenxue (2025) Vol. 55, Iss. 10, pp. 100501-100501
Closed Access
The autoregressive neural network architecture of the Boltzmann distribution of pairwise interacting spins systems
Indaco Biazzo
Communications Physics (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 4
Inference in conditioned dynamics through causality restoration
Alfredo Braunstein, Giovanni Catania, Luca Dall’Asta, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 3
Bayes-optimal inference for spreading processes on random networks
Davide Ghio, Antoine L. M. Aragon, Indaco Biazzo, et al.
Physical review. E (2023) Vol. 108, Iss. 4
Open Access | Times Cited: 3
Learning of networked spreading models from noisy and incomplete data
Mateusz Wiliński, Andrey Y. Lokhov
Physical review. E (2024) Vol. 110, Iss. 5
Open Access
Sparse Autoregressive Neural Networks for Classical Spin Systems
Indaco Biazzo, Dian Wu, Giuseppe Carleo
Machine Learning Science and Technology (2024) Vol. 5, Iss. 2, pp. 025074-025074
Open Access
Estimating the parameters of epidemic spread on two-layer random graphs: a classical and a neural network approach
Ágnes Backhausz, Edit Bognár, Villő Csiszár, et al.
Journal of Statistical Theory and Practice (2024) Vol. 18, Iss. 4
Open Access
Bayes-optimal inference for spreading processes on random networks
Davide Ghio, Antoine L. M. Aragon, Indaco Biazzo, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
Statistical mechanics of inference in epidemic spreading
Alfredo Braunstein, Louise Budzynski, Matteo Mariani
Physical review. E (2023) Vol. 108, Iss. 6
Closed Access | Times Cited: 1
Inference in conditioned dynamics through causality restoration
Alfredo Braunstein, Giovanni Catania, Luca Dall’Asta, et al.
Research Square (Research Square) (2023)
Open Access
Statistical Mechanics of Inference in Epidemic Spreading
Alfredo Braunstein, Louise Budzynski, Matteo Mariani
arXiv (Cornell University) (2023)
Open Access
The autoregressive neural network architecture of the Boltzmann distribution of pairwise interacting spins systems
Indaco Biazzo
Research Square (Research Square) (2023)
Open Access
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