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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:

Transfer entropy in continuous time, with applications to jump and neural spiking processes
Richard E. Spinney, Mikhail Prokopenko, Joseph T. Lizier
Physical review. E (2017) Vol. 95, Iss. 3
Open Access | Times Cited: 64

Showing 26-50 of 64 citing articles:

Spike-field Granger causality for hybrid neural data analysis
Xiajing Gong, Wu Li, Hualou Liang
Journal of Neurophysiology (2019) Vol. 122, Iss. 2, pp. 809-822
Open Access | Times Cited: 12
The effect of predation risk on group behaviour and information flow during repeated collective decisions
Matthew J. Hansen, Alicia L. Burns, Christopher T. Monk, et al.
Animal Behaviour (2021) Vol. 173, pp. 215-239
Closed Access | Times Cited: 11
Fourier-domain transfer entropy spectrum
Yang Tian, Yaoyuan Wang, Ziyang Zhang, et al.
Physical Review Research (2021) Vol. 3, Iss. 4
Open Access | Times Cited: 11
Fuzzy permutation entropy derived from a novel distance between segments of time series
Zelin Zhang, Zhengtao Xiang, Yufeng Chen, et al.
AIMS Mathematics (2020) Vol. 5, Iss. 6, pp. 6244-6260
Open Access | Times Cited: 9
Influence of time delay on information exchanges between coupled linear stochastic systems
M. L. Rosinberg, Gilles Tarjus, Toyonori Munakata
Physical review. E (2018) Vol. 98, Iss. 3
Open Access | Times Cited: 9
Estimating Transfer Entropy in Continuous Time Between Neural Spike Trains or Other Event-Based Data
David Shorten, Richard E. Spinney, Joseph T. Lizier
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 8
The structural aspects of neural dynamics and information flow
Junhyuk Woo, Kiri Choi, Soon Ho Kim, et al.
Frontiers in Bioscience-Landmark (2022) Vol. 27, Iss. 1
Open Access | Times Cited: 5
The VMTES: Application to the structural health monitoring and diagnosis of rotating machines
Zhe Wu, Qiang Zhang, Lifeng Cheng, et al.
Renewable Energy (2020) Vol. 162, pp. 2380-2396
Closed Access | Times Cited: 7
Entropy balance and information processing in bipartite and nonbipartite composite systems
Richard E. Spinney, Joseph T. Lizier, Mikhail Prokopenko
Physical review. E (2018) Vol. 98, Iss. 3
Open Access | Times Cited: 6
Information processing in a simple one-step cascade
Mintu Nandi, Ayan Biswas, Suman Kumar Banik, et al.
Physical review. E (2018) Vol. 98, Iss. 4
Open Access | Times Cited: 6
Structure of cross-correlation between stock and oil markets
Shuang Yan, Shan Li, Haiying Wang, et al.
EPL (Europhysics Letters) (2021) Vol. 138, Iss. 6, pp. 61001-61001
Closed Access | Times Cited: 6
Granger causality for compressively sensed sparse signals
Aditi Kathpalia, Nithin Nagaraj
Physical review. E (2023) Vol. 107, Iss. 3
Open Access | Times Cited: 2
Selection entropy: The information hidden within neuronal patterns
Erik D. Fagerholm, Zalina Dezhina, Rosalyn Moran, et al.
Physical Review Research (2023) Vol. 5, Iss. 2
Open Access | Times Cited: 2
Restricted information in a two-step cascade
Mintu Nandi, Suman Kumar Banik, Pinaki Chaudhury
Physical review. E (2019) Vol. 100, Iss. 3
Closed Access | Times Cited: 5
Information-theoretic decomposition of embodied and situated systems
Federico Da Rold
Neural Networks (2018) Vol. 103, pp. 94-107
Closed Access | Times Cited: 4
Neural Information Processing and Computations of Two-Input Synapses
Soon Ho Kim, Junhyuk Woo, Kiri Choi, et al.
Neural Computation (2022) Vol. 34, Iss. 10, pp. 2102-2131
Closed Access | Times Cited: 3
The Consensus Problem in Polities of Agents with Dissimilar Cognitive Architectures
Damian Sowinski, Jonathan Carroll-Nellenback, Jeremy DeSilva, et al.
Entropy (2022) Vol. 24, Iss. 10, pp. 1378-1378
Open Access | Times Cited: 3
Analytic Formula of Schreiber’s Transfer Entropy Rate of Continuous-time Processes
Hirohito Kiwata
Journal of the Physical Society of Japan (2024) Vol. 93, Iss. 8
Closed Access
Feedforward and feedback influences through distinct frequency bands between two spiking-neuron networks
Leonardo Dalla Porta, Daniel M. Castro, Mauro Copelli, et al.
Physical review. E (2021) Vol. 104, Iss. 5
Open Access | Times Cited: 4
Time-separated Mutual Information Reveals Key Characteristics of Asymmetric Leader-Follower Interactions in Golden Shiners
Katherine Daftari, Michael L. Mayo, Bertrand H. Lemasson, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Inference of Causal Interaction Networks of Gut Microbiota Using Transfer Entropy
Chanho Park, Junil Kim, Julian Lee
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Transitions in brain-network level information processing dynamics are driven by alterations in neural gain
Mike Li, Yinuo Han, Matthew J. Aburn, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2019)
Open Access | Times Cited: 3
Some Properties of the WJ Distribution and Implication in Information Theory
Geying Liang, Xue Han, Qiong Jia, et al.
Journal of Physics Conference Series (2019) Vol. 1237, Iss. 2, pp. 022081-022081
Open Access | Times Cited: 2
Gene network reconstruction using single cell transcriptomic data reveals key factors for embryonic stem cell differentiation
Junil Kim, Simon Toftholm Jakobsen, Kedar Nath Natarajan, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2019)
Open Access | Times Cited: 2
Modes of Information Flow in Collective Cohesion
Sulimon Sattari, Udoy S. Basak, Ryan G. James, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 2

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