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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:

Untangling complex dynamical systems via derivative-variable correlations
Zoran Levnajić, Arkady Pikovsky
Scientific Reports (2014) Vol. 4, Iss. 1
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Reconstructing effective phase connectivity of oscillator networks from observations
Björn Kralemann, Arkady Pikovsky, Michael G. Rosenblum
New Journal of Physics (2014) Vol. 16, Iss. 8, pp. 085013-085013
Open Access | Times Cited: 67
Reconstructing links in directed networks from noisy dynamics
Emily S. C. Ching, Ho‐Man Tam
Physical review. E (2017) Vol. 95, Iss. 1
Open Access | Times Cited: 56
Chimeras in an adaptive neuronal network with burst-timing-dependent plasticity
Zhen Wang, Sara Baruni, Fatemeh Parastesh, et al.
Neurocomputing (2020) Vol. 406, pp. 117-126
Closed Access | Times Cited: 42
Solving the inverse problem of noise-driven dynamic networks
Zhaoyang Zhang, Zhigang Zheng, Haijing Niu, et al.
Physical Review E (2015) Vol. 91, Iss. 1
Open Access | Times Cited: 46
Reconstructing network topology and coupling strengths in directed networks of discrete-time dynamics
Pik‐Yin Lai
Physical review. E (2017) Vol. 95, Iss. 2
Closed Access | Times Cited: 33
Network structure from a characterization of interactions in complex systems
Thorsten Rings, Timo Bröhl, Klaus Lehnertz
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 16
Time-varying coupling functions: Dynamical inference and cause of synchronization transitions
Tomislav Stankovski
Physical review. E (2017) Vol. 95, Iss. 2
Open Access | Times Cited: 20
Reconstructing networks from dynamics with correlated noise
Ho‐Man Tam, Emily S. C. Ching, Pik-Yin Lai
Physica A Statistical Mechanics and its Applications (2018) Vol. 502, pp. 106-122
Closed Access | Times Cited: 19
Reconstruction of noise-driven nonlinear networks from node outputs by using high-order correlations
Yang Chen, Zhaoyang Zhang, Tianyu Chen, et al.
Scientific Reports (2017) Vol. 7, Iss. 1
Open Access | Times Cited: 18
Reconstructing positive and negative couplings in Ising spin networks by sorted local transfer entropy
Felix Goetze, Pik-Yin Lai
Physical review. E (2019) Vol. 100, Iss. 1
Closed Access | Times Cited: 17
Reconstructing dynamical networks via feature ranking
Marc G. Leguia, Zoran Levnajić, Ljupčo Todorovski, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2019) Vol. 29, Iss. 9
Open Access | Times Cited: 15
Depicting network structures from variable data produced by unknown colored-noise driven dynamics
Yang Chen, Shihong Wang, Zhigang Zheng, et al.
EPL (Europhysics Letters) (2016) Vol. 113, Iss. 1, pp. 18005-18005
Closed Access | Times Cited: 13
Revealing directed effective connectivity of cortical neuronal networks from measurements
Chumin Sun, Kangguang Lin, Chun Yip Yeung, et al.
Physical review. E (2022) Vol. 105, Iss. 4
Open Access | Times Cited: 8
Inferring directed networks using a rank-based connectivity measure
Marc G. Leguia, Cristina González Martínez, Irene Malvestio, et al.
Physical review. E (2019) Vol. 99, Iss. 1
Open Access | Times Cited: 13
Using machine learning to assess short term causal dependence and infer network links
Amitava Banerjee, Jaideep Pathak, Rajarshi Roy, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2019) Vol. 29, Iss. 12
Open Access | Times Cited: 13
Reconstruction of noise-driven nonlinear dynamic networks with some hidden nodes
Chen Yang, Chaoyang Zhang, Tianyu Chen, et al.
Science China Physics Mechanics and Astronomy (2017) Vol. 60, Iss. 7
Closed Access | Times Cited: 12
Coupling strength versus coupling impact in nonidentical bidirectionally coupled dynamics
Petroula Laiou, Ralph G. Andrzejak
Physical review. E (2017) Vol. 95, Iss. 1
Open Access | Times Cited: 11
Evolutionary optimization of network reconstruction from derivative-variable correlations
Marc G. Leguia, Ralph G. Andrzejak, Zoran Levnajić
Journal of Physics A Mathematical and Theoretical (2017) Vol. 50, Iss. 33, pp. 334001-334001
Open Access | Times Cited: 11
Detecting network structures from measurable data produced by dynamics with hidden variables
Rundong Shi, Weinuo Jiang, Shihong Wang
Chaos An Interdisciplinary Journal of Nonlinear Science (2020) Vol. 30, Iss. 1
Closed Access | Times Cited: 10
Detecting directed interactions of networks by random variable resetting
Rundong Shi, Changbao Deng, Shihong Wang
EPL (Europhysics Letters) (2018) Vol. 124, Iss. 1, pp. 18002-18002
Open Access | Times Cited: 9
Reconstructing nonlinear networks subject to fast-varying noises by using linearization with expanded variables
Rundong Shi, Gang Hu, Shihong Wang
Communications in Nonlinear Science and Numerical Simulation (2019) Vol. 72, pp. 407-416
Open Access | Times Cited: 8
A practical method for estimating coupling functions in complex dynamical systems
Isao T. Tokuda, Zoran Levnajić, Kazuyoshi Ishimura
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2019) Vol. 377, Iss. 2160, pp. 20190015-20190015
Open Access | Times Cited: 7
Decoupling approximation robustly reconstructs directed dynamical networks
Nikola Simidjievski, Jovan Tanevski, Bernard Ženko, et al.
New Journal of Physics (2018) Vol. 20, Iss. 11, pp. 113003-113003
Open Access | Times Cited: 6
Network structure identification via Koopman analysis and sparse identification
Zhuanglin Mei, Toshiki Oguchi
Nonlinear Theory and Its Applications IEICE (2022) Vol. 13, Iss. 2, pp. 477-492
Open Access | Times Cited: 4
Spectral identification of networks with inputs
Alexandre Mauroy, Julien M. Hendrickx
(2017) Vol. 4, pp. 469-474
Open Access | Times Cited: 4
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