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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:

Neural data science: accelerating the experiment-analysis-theory cycle in large-scale neuroscience
Liam Paninski, JP Cunningham
Current Opinion in Neurobiology (2018) Vol. 50, pp. 232-241
Open Access | Times Cited: 85

Showing 1-25 of 85 citing articles:

Computation Through Neural Population Dynamics
Saurabh Vyas, Matthew D. Golub, David Sussillo, et al.
Annual Review of Neuroscience (2020) Vol. 43, Iss. 1, pp. 249-275
Open Access | Times Cited: 527
Towards the neural population doctrine
Shreya Saxena, John P. Cunningham
Current Opinion in Neurobiology (2019) Vol. 55, pp. 103-111
Closed Access | Times Cited: 279
Interpreting encoding and decoding models
Nikolaus Kriegeskorte, Pamela K. Douglas
Current Opinion in Neurobiology (2019) Vol. 55, pp. 167-179
Open Access | Times Cited: 181
Two views on the cognitive brain
David L. Barack, John W. Krakauer
Nature reviews. Neuroscience (2021) Vol. 22, Iss. 6, pp. 359-371
Closed Access | Times Cited: 170
Two-photon calcium imaging of neuronal activity
Christine Grienberger, Andrea Giovannucci, William Zeiger, et al.
Nature Reviews Methods Primers (2022) Vol. 2, Iss. 1
Open Access | Times Cited: 77
Reconstructing computational system dynamics from neural data with recurrent neural networks
Daniel Durstewitz, Georgia Koppe, Max Ingo Thurm
Nature reviews. Neuroscience (2023) Vol. 24, Iss. 11, pp. 693-710
Closed Access | Times Cited: 45
The roles of supervised machine learning in systems neuroscience
Joshua I. Glaser, Ari S. Benjamin, Roozbeh Farhoodi, et al.
Progress in Neurobiology (2019) Vol. 175, pp. 126-137
Open Access | Times Cited: 129
Cracking the Function of Layers in the Sensory Cortex
Hillel Adesnik, Alexander Naka
Neuron (2018) Vol. 100, Iss. 5, pp. 1028-1043
Open Access | Times Cited: 107
From Brain Science to Artificial Intelligence
Jingtao Fan, Lu Fang, Jiamin Wu, et al.
Engineering (2020) Vol. 6, Iss. 3, pp. 248-252
Open Access | Times Cited: 84
International data governance for neuroscience
Damian Eke, Amy Bernard, Jan G. Bjaalie, et al.
Neuron (2021) Vol. 110, Iss. 4, pp. 600-612
Open Access | Times Cited: 57
Neural Algorithms and Circuits for Motor Planning
H. Inagaki, Susu Chen, Kayvon Daie, et al.
Annual Review of Neuroscience (2022) Vol. 45, Iss. 1, pp. 249-271
Closed Access | Times Cited: 56
Modeling conditional distributions of neural and behavioral data with masked variational autoencoders
Auguste Schulz, Julius Vetter, Richard Gao, et al.
Cell Reports (2025) Vol. 44, Iss. 3, pp. 115338-115338
Open Access | Times Cited: 1
An International Laboratory for Systems and Computational Neuroscience
Larry Abbott, Dora E. Angelaki, Matteo Carandini, et al.
Neuron (2017) Vol. 96, Iss. 6, pp. 1213-1218
Open Access | Times Cited: 76
A roadmap to integrate astrocytes into Systems Neuroscience
Ksenia V. Kastanenka, Rubén Moreno‐Bote, Maurizio De Pittà, et al.
Glia (2019) Vol. 68, Iss. 1, pp. 5-26
Open Access | Times Cited: 74
The biological transformation of industrial manufacturing – Technologies, status and scenarios for a sustainable future of the German manufacturing industry
Robert Miehe, Thomas Bauernhansl, Marc Beckett, et al.
Journal of Manufacturing Systems (2019) Vol. 54, pp. 50-61
Open Access | Times Cited: 59
Probabilistic Encoding Models for Multivariate Neural Data
Marcus A. Triplett, Geoffrey J. Goodhill
Frontiers in Neural Circuits (2019) Vol. 13
Open Access | Times Cited: 58
Neuroscience Cloud Analysis As a Service: An open-source platform for scalable, reproducible data analysis
Taiga Abe, Ian Kinsella, Shreya Saxena, et al.
Neuron (2022) Vol. 110, Iss. 17, pp. 2771-2789.e7
Open Access | Times Cited: 27
An efficient likelihood-free Bayesian inference method based on sequential neural posterior estimation
Yifei Xiong, Xiliang Yang, Sanguo Zhang, et al.
Communications in Statistics - Simulation and Computation (2025), pp. 1-26
Closed Access
Analysis of neuronal ensemble activity reveals the pitfalls and shortcomings of rotation dynamics
Mikhail Lebedev, Alexei Ossadtchi, Nil Adell Mill, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 40
Automatic Posterior Transformation for Likelihood-Free Inference
David S. Greenberg, Marcel Nonnenmacher, Jakob H. Macke
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 36
The quest for interpretable models of neural population activity
Matthew R Whiteway, Daniel A. Butts
Current Opinion in Neurobiology (2019) Vol. 58, pp. 86-93
Open Access | Times Cited: 35
Interrogating theoretical models of neural computation with emergent property inference
Sean R. Bittner, Agostina Palmigiano, Alex T. Piet, et al.
eLife (2021) Vol. 10
Open Access | Times Cited: 24
Improving scalability in systems neuroscience
Zhe Chen, Bijan Pesaran
Neuron (2021) Vol. 109, Iss. 11, pp. 1776-1790
Open Access | Times Cited: 23
Emerging ideas and tools to study the emergent properties of the cortical neural circuits for voluntary motor control in non-human primates
John Kalaska
F1000Research (2019) Vol. 8, pp. 749-749
Open Access | Times Cited: 28
Beyond expectations: residual dynamic mode decomposition and variance for stochastic dynamical systems
Matthew J. Colbrook, Qin Li, Ryan V. Raut, et al.
Nonlinear Dynamics (2023) Vol. 112, Iss. 3, pp. 2037-2061
Open Access | Times Cited: 8
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