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:

Variational inference of fractional Brownian motion with linear computational complexity
Hippolyte Verdier, François Laurent, Alhassan Cassé, et al.
Physical review. E (2022) Vol. 106, Iss. 5
Open Access | Times Cited: 11

Showing 11 citing articles:

Anomalous diffusion, nonergodicity, non-Gaussianity, and aging of fractional Brownian motion with nonlinear clocks
Yingjie Liang, Wei Wang, Ralf Metzler, et al.
Physical review. E (2023) Vol. 108, Iss. 3
Closed Access | Times Cited: 33
Machine-Learning Solutions for the Analysis of Single-Particle Diffusion Trajectories
Henrik Seckler, Janusz Szwabiński, Ralf Metzler
The Journal of Physical Chemistry Letters (2023) Vol. 14, Iss. 35, pp. 7910-7923
Open Access | Times Cited: 22
Semantic segmentation of anomalous diffusion using deep convolutional networks
Xiang Qu, Yi Hu, Wenjie Cai, et al.
Physical Review Research (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 7
Inferring pointwise diffusion properties of single trajectories with deep learning
Borja Requena, Sergi Masó-Orriols, J. Bertrán, et al.
Biophysical Journal (2023) Vol. 122, Iss. 22, pp. 4360-4369
Open Access | Times Cited: 12
Machine learning analysis of anomalous diffusion
Wenjie Cai, Yi Hu, Xiang Qu, et al.
The European Physical Journal Plus (2025) Vol. 140, Iss. 3
Open Access
BayesFlow: Amortized Bayesian Workflows With Neural Networks
Stefan T. Radev, Marvin Schmitt, Lukas Schumacher, et al.
The Journal of Open Source Software (2023) Vol. 8, Iss. 89, pp. 5702-5702
Open Access | Times Cited: 9
Simulation-based inference for non-parametric statistical comparison of biomolecule dynamics
Hippolyte Verdier, François Laurent, Alhassan Cassé, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 2, pp. e1010088-e1010088
Open Access | Times Cited: 5
A machine learning ride in the physics theme park: from quantum to biophysics
Borja Requena
(2024)
Open Access
Confinement energy landscape classification reveals membrane receptor nano-organization mechanisms
Chao Yu, Maximilian U. Richly, Thi Thuy Hoang, et al.
Biophysical Journal (2024) Vol. 123, Iss. 13, pp. 1882-1895
Closed Access
Inferring pointwise diffusion properties of single trajectories with deep learning
Borja Requena, Sergi Masó, J. Bertrán, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
Quantifying the diversity of multiple time series with an ordinal symbolic approach
Luciano Zunino, Miguel C. Soriano
Physical review. E (2023) Vol. 108, Iss. 6
Open Access | Times Cited: 1
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