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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:

Learning Orthographic Structure With Sequential Generative Neural Networks
Alberto Testolin, Ivilin Stoianov, Alessandro Sperduti, et al.
Cognitive Science (2015) Vol. 40, Iss. 3, pp. 579-606
Open Access | Times Cited: 18

Showing 18 citing articles:

Explaining human performance in psycholinguistic tasks with models of semantic similarity based on prediction and counting: A review and empirical validation
Paweł Mandera, Emmanuel Keuleers, Marc Brysbaert
Journal of Memory and Language (2016) Vol. 92, pp. 57-78
Closed Access | Times Cited: 411
Cognition-Based Networks: A New Perspective on Network Optimization Using Learning and Distributed Intelligence
Michele Zorzi, Andréa Zanella, Alberto Testolin, et al.
IEEE Access (2015) Vol. 3, pp. 1512-1530
Open Access | Times Cited: 112
Letter perception emerges from unsupervised deep learning and recycling of natural image features
Alberto Testolin, Ivilin Stoianov, Marco Zorzi
Nature Human Behaviour (2017) Vol. 1, Iss. 9, pp. 657-664
Closed Access | Times Cited: 59
Probabilistic Models and Generative Neural Networks: Towards an Unified Framework for Modeling Normal and Impaired Neurocognitive Functions
Alberto Testolin, Marco Zorzi
Frontiers in Computational Neuroscience (2016) Vol. 10
Open Access | Times Cited: 54
Visual sense of number vs. sense of magnitude in humans and machines
Alberto Testolin, Serena Dolfi, Mathijs Rochus, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 48
Abstractive morphological learning with a recurrent neural network
Robert Malouf
Morphology (2017) Vol. 27, Iss. 4, pp. 431-458
Closed Access | Times Cited: 44
Steady state visual evoked potentials in reading aloud: Effects of lexicality, frequency and orthographic familiarity
Veronica Montani, Valérie Chanoine, Ivilin Stoianov, et al.
Brain and Language (2019) Vol. 192, pp. 1-14
Open Access | Times Cited: 23
QoE Multi-Stage Machine Learning for Dynamic Video Streaming
Michele De Filippo De Grazia, Daniel Zucchetto, Alberto Testolin, et al.
IEEE Transactions on Cognitive Communications and Networking (2017) Vol. 4, Iss. 1, pp. 146-161
Closed Access | Times Cited: 22
Comparing Character-level Neural Language Models Using a Lexical Decision Task
Gaël Le Godais, Tal Linzen, Emmanuel Dupoux
(2017), pp. 125-130
Open Access | Times Cited: 19
The Role of Architectural and Learning Constraints in Neural Network Models: A Case Study on Visual Space Coding
Alberto Testolin, Michele De Filippo De Grazia, Marco Zorzi
Frontiers in Computational Neuroscience (2017) Vol. 11
Open Access | Times Cited: 13
Integration of blockchain and machine learning for safe and efficient autonomous car systems: A survey
Hussam Alkashto, Abdullah Elewi
Turkish Journal of Engineering (2024) Vol. 8, Iss. 2, pp. 282-299
Open Access | Times Cited: 1
Learning representation hierarchies by sharing visual features: a computational investigation of Persian character recognition with unsupervised deep learning
Zahra Sadeghi, Alberto Testolin
Cognitive Processing (2017) Vol. 18, Iss. 3, pp. 273-284
Closed Access | Times Cited: 12
Emergence of Network Motifs in Deep Neural Networks
Matteo Zambra, Amos Maritan, Alberto Testolin
Entropy (2020) Vol. 22, Iss. 2, pp. 204-204
Open Access | Times Cited: 11
Frequency-tagged visual evoked responses track syllable effects in visual word recognition
Veronica Montani, Valérie Chanoine, Jonathan Grainger, et al.
Cortex (2019) Vol. 121, pp. 60-77
Open Access | Times Cited: 8
Adults’ sensitivity to graphotactic differences within the English vocabulary
Rebecca Treiman, Kristina M. Decker, Brett Kessler
Applied Psycholinguistics (2018) Vol. 40, Iss. 1, pp. 167-182
Closed Access | Times Cited: 6
On the difficulty of learning and predicting the long-term dynamics of bouncing objects.
Alberto Cenzato, Alberto Testolin, Marco Zorzi
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 4
Long-Term Prediction of Physical Interactions: A Challenge for Deep Generative Models
Alberto Cenzato, Alberto Testolin, Marco Zorzi
Lecture notes in computer science (2020), pp. 83-94
Closed Access | Times Cited: 3
Words in the CLOUD: How orthographic similarity and bilingual experience facilitate foreign vocabulary learning
José Aguasvivas, Alberto Testolin, Marco Zorzi, et al.
(2021)
Open Access
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