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:

Detecting Hidden Units and Network Size from Perceptible Dynamics
Hauke Haehne, Jose Casadiego, Joachim Peinke, et al.
Physical Review Letters (2019) Vol. 122, Iss. 15
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Revealing Higher-Order Interactions in High-Dimensional Complex Systems: A Data-Driven Approach
M. Reza Rahimi Tabar, Farnik Nikakhtar, Laya Parkavousi, et al.
Physical Review X (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Artificial Intelligence and Mathematical Models of Power Grids Driven by Renewable Energy Sources: A Survey
Sabarathinam Srinivasan, Suresh Kumarasamy, Zacharias Andreadakis, et al.
Energies (2023) Vol. 16, Iss. 14, pp. 5383-5383
Open Access | Times Cited: 18
Causal discovery from city data, where urban scaling meets information theory
Tian Gan, Rayan Succar, Simone Macrı̀, et al.
Cities (2025) Vol. 162, pp. 105980-105980
Closed Access
Detecting Directional Coupling in Network Dynamical Systems via Kalman’s Observability
Rayan Succar, Maurizio Porfiri
Physical Review Letters (2025) Vol. 134, Iss. 7
Closed Access
Optimizing self-organized topology of recurrence-based complex networks
Conggai Li, Joseph C. S. Lai, Sebastian Oberst
Chaos An Interdisciplinary Journal of Nonlinear Science (2025) Vol. 35, Iss. 3
Open Access
Discovering dynamics and parameters of nonlinear oscillatory and chaotic systems from partial observations
George Stepaniants, Alasdair Hastewell, Dominic J. Skinner, et al.
Physical Review Research (2024) Vol. 6, Iss. 4
Open Access | Times Cited: 3
Uncovering hidden nodes and hidden links in complex dynamic networks
Zhaoyang Zhang, Xinyu Wang, Haihong Li, et al.
Science China Physics Mechanics and Astronomy (2024) Vol. 67, Iss. 4
Open Access | Times Cited: 2
Building functional networks for complex response analysis in systems of coupled nonlinear oscillators
Charlotte Geier, M. Stender, Norbert Hoffmann
Journal of Sound and Vibration (2024) Vol. 590, pp. 118544-118544
Open Access | Times Cited: 2
RSNET: inferring gene regulatory networks by a redundancy silencing and network enhancement technique
Xiaohan Jiang, Xiujun Zhang
BMC Bioinformatics (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 10
Revealing system dimension from single-variable time series
Georg Börner, Hauke Haehne, Jose Casadiego, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2023) Vol. 33, Iss. 7
Closed Access | Times Cited: 6
Detecting hidden states in stochastic dynamical systems
Rayan Succar, Alain Boldini, Maurizio Porfiri
Physical Review Research (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 1
Physics-inspired machine learning detects “unknown unknowns” in networks: discovering network boundaries from observable dynamics
Moshir Harsh, Leonhard Götz Vulpius, Peter Sollich
Machine Learning Science and Technology (2024) Vol. 5, Iss. 4, pp. 045046-045046
Open Access | Times Cited: 1
Validity and Limitations of the Detection Matrix to Determine Hidden Units and Network Size from Perceptible Dynamics
Maurizio Porfiri
Physical Review Letters (2020) Vol. 124, Iss. 16
Open Access | Times Cited: 10
Network reconstruction from binary-state time series in presence of time delay and hidden nodes
Yuhao Zhang, Huaxun Li, Zhaoyang Zhang, et al.
Chinese Journal of Physics (2020) Vol. 67, pp. 203-211
Closed Access | Times Cited: 9
Reconstructing networks via discrete state dynamical data: A mini-review
Chuang Ma, Huan Wang, Haifeng Zhang
EPL (Europhysics Letters) (2023) Vol. 144, Iss. 2, pp. 21002-21002
Closed Access | Times Cited: 3
Inferring the size of a collective of self-propelled Vicsek particles from the random motion of a single unit
Pietro De Lellis, Maurizio Porfiri
Communications Physics (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 5
Dynamical network size estimation from local observations
Xiuchuan Tang, Wei Huo, Ye Yuan, et al.
New Journal of Physics (2020) Vol. 22, Iss. 9, pp. 093031-093031
Open Access | Times Cited: 7
Tomography of time-dependent quantum Hamiltonians with machine learning
Chen-Di Han, Bryan Glaz, Mulugeta Haile, et al.
Physical review. A/Physical review, A (2021) Vol. 104, Iss. 6
Open Access | Times Cited: 6
Effects of hidden nodes on noisy network dynamics
Beverly Gemao, Pik‐Yin Lai
Physical review. E (2021) Vol. 103, Iss. 6
Closed Access | Times Cited: 5
System size identification from sinusoidal probing in diffusive complex networks
Melvyn Tyloo, Robin Delabays
Journal of Physics Complexity (2021) Vol. 2, Iss. 2, pp. 025016-025016
Open Access | Times Cited: 4
The detection matrix as a model-agnostic tool to estimate the number of degrees of freedom in mechanical systems and engineering structures
Paolo Celli, Maurizio Porfiri
Chaos An Interdisciplinary Journal of Nonlinear Science (2022) Vol. 32, Iss. 3
Open Access | Times Cited: 3
Graph Completion Through Local Pattern Generalization
Zhang Zhang, Ruyi Tao, Yongzai Tao, et al.
Studies in computational intelligence (2024), pp. 260-271
Closed Access
Inferring Topology of Networks With Hidden Dynamic Variables
Raoul Schmidt, Hauke Haehne, Laura Hillmann, et al.
IEEE Access (2022) Vol. 10, pp. 76682-76692
Open Access | Times Cited: 2
Efficient reconstruction of directed networks from noisy dynamics using stochastic force inference
Chi-Ho Cheng, Pik‐Yin Lai
Physical review. E (2022) Vol. 106, Iss. 3
Closed Access | Times Cited: 2
Network reconstruction problem for an epidemic reaction--diffusion system
Louis-Brahim Beaufort, Pierre-Yves Massé, Antonin Reboulet, et al.
Journal of Complex Networks (2022) Vol. 10, Iss. 6
Closed Access | Times Cited: 2
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