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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:

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

Showing 1-25 of 31 citing articles:

Flexible multitask computation in recurrent networks utilizes shared dynamical motifs
Laura N. Driscoll, Krishna V. Shenoy, David Sussillo
Nature Neuroscience (2024) Vol. 27, Iss. 7, pp. 1349-1363
Open Access | Times Cited: 45
Neural Controlled Differential Equations for Irregular Time Series
Patrick Kidger, James Morrill, James Foster, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 117
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
DGMSCL: A dynamic graph mixed supervised contrastive learning approach for class imbalanced multivariate time series classification
Lipeng Qian, Qiong Zuo, Dahu Li, et al.
Neural Networks (2025) Vol. 185, pp. 107131-107131
Closed Access | Times Cited: 1
Stimulus-Driven and Spontaneous Dynamics in Excitatory-Inhibitory Recurrent Neural Networks for Sequence Representation
Alfred Ajay Aureate Rajakumar, John Rinzel, Zhe Chen
Neural Computation (2021) Vol. 33, Iss. 10, pp. 2603-2645
Open Access | Times Cited: 15
Universality and individuality in neural dynamics across large populations of recurrent networks
Niru Maheswaranathan, Alex H. Williams, Matthew D. Golub, et al.
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 14
Attentive neural controlled differential equations for time-series classification and forecasting
Sheo Yon Jhin, Heejoo Shin, Sujie Kim, et al.
Knowledge and Information Systems (2023)
Closed Access | Times Cited: 4
Input-to-State Representation in Linear Reservoirs Dynamics
Pietro Verzelli, Cesare Alippi, Lorenzo Livi, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 9, pp. 4598-4609
Open Access | Times Cited: 10
How recurrent networks implement contextual processing in sentiment analysis
Niru Maheswaranathan, David Sussillo
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 10
Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting
Sheo Yon Jhin, Heejoo Shin, Seoyoung Hong, et al.
2021 IEEE International Conference on Data Mining (ICDM) (2021), pp. 250-259
Open Access | Times Cited: 9
Learnable Path in Neural Controlled Differential Equations
Sheo Yon Jhin, Minju Jo, Seungji Kook, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 7, pp. 8014-8022
Open Access | Times Cited: 3
Long Short-Term Memory Neural Networks for Modeling Dynamical Processes and Predictive Control: A Hybrid Physics-Informed Approach
Krzysztof Zarzycki, Maciej Ławryńczuk
Sensors (2023) Vol. 23, Iss. 21, pp. 8898-8898
Open Access | Times Cited: 3
Birhythmic Analog Circuit Maze: A Nonlinear Neurostimulation Testbed
Ian Jordan, Il Memming Park
Entropy (2020) Vol. 22, Iss. 5, pp. 537-537
Open Access | Times Cited: 8
Input representation in recurrent neural networks dynamics.
Pietro Verzelli, Cesare Alippi, Lorenzo Livi, et al.
(2020)
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.
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
A Nonautonomous Equation Discovery Method for Time Signal Classification
Ryeongkyung Yoon, Harish S. Bhat, Braxton Osting
SIAM Journal on Applied Dynamical Systems (2022) Vol. 21, Iss. 1, pp. 33-59
Open Access | Times Cited: 3
Adaptive modeling of systems with uncertain dynamics via continuous long-short term memories
Alejandro Macias-Hernandez, Daniela F. Orozco-Granados, Isaac Chaírez
Neurocomputing (2024) Vol. 599, pp. 127955-127955
Closed Access
Gating creates slow modes and controls phase-space complexity in GRUs and LSTMs
Tankut Can, Kamesh Krishnamurthy, David J. Schwab
arXiv (Cornell University) (2020)
Open Access | Times Cited: 3
Reverse engineering learned optimizers reveals known and novel mechanisms
Niru Maheswaranathan, David Sussillo, Luke Metz, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 2
The geometry of integration in text classification RNNs
Kyle Aitken, Vinay Ramasesh, Ankush Garg, et al.
International Conference on Learning Representations (2021)
Closed Access | Times Cited: 2
Adjoint Dynamics of Stable Limit Cycle Neural Networks
Piotr Sokół, Ian Jordan, Eben Kadile, et al.
(2019), pp. 884-887
Closed Access | Times Cited: 1
Transformation of ReLU-based recurrent neural networks from discrete-time to continuous-time
Zahra Monfared, Daniel Durstewitz
arXiv (Cornell University) (2020)
Open Access | Times Cited: 1
Category learning in a recurrent neural network with reinforcement learning
Ying Zhang, Xiaochuan Pan, Yihong Wang
Frontiers in Psychiatry (2022) Vol. 13
Open Access | Times Cited: 1
Deep Efficient Continuous Manifold Learning for Time Series Modeling
Seungwoo Jeong, Wonjun Ko, Ahmad Wisnu Mulyadi, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 1
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