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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:

Variational Online Learning of Neural Dynamics
Yuan Zhao, Il Memming Park
Frontiers in Computational Neuroscience (2020) Vol. 14
Open Access | Times Cited: 19

Showing 19 citing articles:

A unifying perspective on neural manifolds and circuits for cognition
Christopher Langdon, Mikhail Genkin, Tatiana A. Engel
Nature reviews. Neuroscience (2023) Vol. 24, Iss. 6, pp. 363-377
Closed Access | Times Cited: 117
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: 46
Metastable dynamics of neural circuits and networks
Braden A. W. Brinkman, Han Yan, Arianna Maffei, et al.
Applied Physics Reviews (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 49
Latent circuit inference from heterogeneous neural responses during cognitive tasks
Christopher Langdon, Tatiana A. Engel
Nature Neuroscience (2025)
Open Access | Times Cited: 1
Latent circuit inference from heterogeneous neural responses during cognitive tasks
Christopher Langdon, Tatiana A. Engel
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 23
Gated Recurrent Units Viewed Through the Lens of Continuous Time Dynamical Systems
Ian Jordan, Piotr Sokół, Il Memming Park
Frontiers in Computational Neuroscience (2021) Vol. 15
Open Access | Times Cited: 31
Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity
Felix Pei, Joel Ye, David L. Zoltowski, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 27
A projected nonlinear state-space model for forecasting time series signals
Christian Donner, Anuj Mishra, Hideaki Shimazaki
International Journal of Forecasting (2025)
Open Access
Factorization-Based Online Variational Inference for State-Parameter Estimation of Partially Observable Nonlinear Dynamical Systems
Liliang Wang, Alex Gorodetsky
AIAA SCITECH 2022 Forum (2025)
Closed Access
Ensemble Kalman Filtering Meets Gaussian Process SSM for Non-Mean-Field and Online Inference
Zhidi Lin, Yiyong Sun, Feng Yin, et al.
IEEE Transactions on Signal Processing (2024) Vol. 72, pp. 4286-4301
Open Access | Times Cited: 2
Reconstructing Computational Dynamics from Neural Measurements with Recurrent Neural Networks
Daniel Durstewitz, Georgia Koppe, Max Ingo Thurm
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 5
Identifying nonlinear dynamical systems with multiple time scales and long-range dependencies
Dominik Schmidt, Georgia Koppe, Zahra Monfared, et al.
International Conference on Learning Representations (2021)
Closed Access | Times Cited: 6
Identifying nonlinear dynamical systems with multiple time scales and long-range dependencies
Dominik Schmidt, Georgia Koppe, Zahra Monfared, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 6
Expressive dynamics models with nonlinear injective readouts enable reliable recovery of latent features from neural activity.
Christopher Versteeg, Andrew R. Sedler, Jonathan McCart, et al.
PubMed (2023)
Closed Access | Times Cited: 1
Synergizing Optogenetics and Artificial Intelligence: A Novel Paradigm for Advanced Neuroscience InvestigationsAI and Optogenetics: Advancing Neuroscience
Xueru Wang, Shanshan Li, Xin Jin
(2023) Vol. 200, pp. 997-1003
Closed Access | Times Cited: 1
Learning Dynamical Systems from Noisy Sensor Measurements using Multiple Shooting
Armand Jordana, Justin Carpentier, Ludovic Righetti
arXiv (Cornell University) (2021)
Open Access | Times Cited: 1
Bubblewrap: Online tiling and real-time flow prediction on neural manifolds.
Anne Draelos, Pranjal Gupta, Na Young Jun, et al.
PubMed (2021) Vol. 34, pp. 6062-6074
Closed Access | Times Cited: 1
REAL-TIME VARIATIONAL METHOD FOR LEARNING NEURAL TRAJECTORY AND ITS DYNAMICS.
Matthew Dowling, Yuan Zhao, Il Memming Park
PubMed (2023)
Closed Access
Identifying nonlinear dynamical systems from multi-modal time series data.
Philine Lou Bommer, Daniel R. Kramer, Carlo Tombolini, et al.
arXiv (Cornell University) (2021)
Closed Access
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