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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:

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

Showing 22 citing articles:

Fractional Langevin equation far from equilibrium: Riemann-Liouville fractional Brownian motion, spurious nonergodicity, and aging
Qing Wei, Wei Wang, Yifa Tang, et al.
Physical review. E (2025) Vol. 111, Iss. 1
Open Access | Times Cited: 1
Directedeness, correlations, and daily cycles in springbok motion: From data via stochastic models to movement prediction
Philipp G. Meyer, Andrey G. Cherstvy, Henrik Seckler, et al.
Physical Review Research (2023) Vol. 5, Iss. 4
Open Access | Times Cited: 19
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
A guide to single-particle tracking
François Simon, Lucien E. Weiss, Sven van Teeffelen
Nature Reviews Methods Primers (2024) Vol. 4, Iss. 1
Closed Access | Times Cited: 6
Time scales in the dynamics of political opinions and the voter model
Philipp G. Meyer, Ralf Metzler
New Journal of Physics (2024) Vol. 26, Iss. 2, pp. 023040-023040
Open Access | Times Cited: 5
Multifractal spectral features enhance classification of anomalous diffusion
Henrik Seckler, Ralf Metzler, Damian G. Kelty‐Stephen, et al.
Physical review. E (2024) Vol. 109, Iss. 4
Open Access | Times Cited: 5
Distinguishing between fractional Brownian motion with random and constant Hurst exponent using sample autocovariance-based statistics
Aleksandra Grzesiek, Janusz Gajda, Samudrajit Thapa, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2024) Vol. 34, Iss. 4
Closed Access | Times Cited: 4
Regular and anomalous diffusion: I. Foundations
Iddo Eliazar
Journal of Physics A Mathematical and Theoretical (2024) Vol. 57, Iss. 23, pp. 233002-233002
Open Access | Times Cited: 4
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
Enhancing daily reference evapotranspiration (ETref) prediction across diverse climatic zones: A pattern mining approach with DIRECTORS model
Maryam Amiri, Saeed Sharafi, Mehdi Mohammadi Ghaleni
Journal of Hydrology (2025), pp. 133045-133045
Closed Access
Modelling intermittent anomalous diffusion with switching fractional Brownian motion
Michał Balcerek, Agnieszka Wyłomańska, Krzysztof Burnecki, et al.
New Journal of Physics (2023) Vol. 25, Iss. 10, pp. 103031-103031
Open Access | Times Cited: 11
Aging and confinement in subordinated fractional Brownian motion
Yingjie Liang, Wei Wang, Ralf Metzler
Physical review. E (2024) Vol. 109, Iss. 6
Closed Access | Times Cited: 3
Machine-learning classification with additivity and diverse multifractal pathways in multiplicativity
Madhur Mangalam, Henrik Seckler, Damian G. Kelty‐Stephen
Physical Review Research (2024) Vol. 6, Iss. 3
Open Access | Times Cited: 3
Predicting an Optimal Medication/Prescription Regimen for Patient Discordant Chronic Comorbidities Using Multi-Output Models
Ichchha Pradeep Sharma, Tam Nguyen, Shruti Ajay Singh, et al.
Information (2024) Vol. 15, Iss. 1, pp. 31-31
Open Access | Times Cited: 2
Change-point detection in anomalous-diffusion trajectories utilising machine-learning-based uncertainty estimates
Henrik Seckler, Ralf Metzler
Journal of Physics Photonics (2024) Vol. 6, Iss. 4, pp. 045025-045025
Open Access | Times Cited: 2
Predictive deep learning models for analyzing discrete fractional dynamics from noisy and incomplete data
Òscar Garibo‐i‐Orts, Carlos Lizama, Ali Akgül, et al.
Chinese Journal of Physics (2024) Vol. 89, pp. 1276-1285
Open Access | Times Cited: 1
High fidelity predictions of diffusion in the brain microenvironment
Nels Schimek, Thomas R. Wood, David A. C. Beck, et al.
Biophysical Journal (2024) Vol. 123, Iss. 22, pp. 3935-3950
Closed Access | Times Cited: 1
Parameter estimation of the fractional Ornstein–Uhlenbeck process based on quadratic variation
Joanna Janczura, Marcin Magdziarz, Ralf Metzler
Chaos An Interdisciplinary Journal of Nonlinear Science (2023) Vol. 33, Iss. 10
Closed Access | Times Cited: 3
Trajectory Analysis in Single-Particle Tracking: From Mean Squared Displacement to Machine Learning Approaches
Chiara Schirripa Spagnolo, Stefano Luin
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 16, pp. 8660-8660
Open Access
Innovative fast and low-cost method for the detection of living bacteria based on trajectory
Paul Perronno, Julie Claudinon, Carmen Senin, et al.
Research Square (Research Square) (2024)
Open Access
A machine learning ride in the physics theme park: from quantum to biophysics
Borja Requena
(2024)
Open Access
Local structure and mobility in melts of ionic liquids-selected primary and secondary alcohols
N. Atamas, K. S. Yablochkova, V. Yu. Malyshev, et al.
Journal of Molecular Liquids (2024) Vol. 416, pp. 126481-126481
Closed Access
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