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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:

Wide Learning for Auditory Comprehension
Elnaz Shafaei-Bajestan, R. Harald Baayen
Interspeech 2022 (2018)
Open Access | Times Cited: 25

Showing 25 citing articles:

The Discriminative Lexicon: A Unified Computational Model for the Lexicon and Lexical Processing in Comprehension and Production Grounded Not in (De)Composition but in Linear Discriminative Learning
R. Harald Baayen, Yu‐Ying Chuang, Elnaz Shafaei-Bajestan, et al.
Complexity (2019) Vol. 2019, Iss. 1
Open Access | Times Cited: 189
Of mice and men: Speech sound acquisition as discriminative learning from prediction error, not just statistical tracking
Jessie S. Nixon
Cognition (2020) Vol. 197, pp. 104081-104081
Open Access | Times Cited: 98
Inflectional morphology with linear mappings
R. Harald Baayen, Yu‐Ying Chuang, James P. Blevins
The Mental Lexicon (2018) Vol. 13, Iss. 2, pp. 230-268
Open Access | Times Cited: 74
Phonetic effects of morphology and context: Modeling the duration of word-final S in English with naïve discriminative learning
Fabian Tomaschek, Ingo Plag, Mirjam Ernestus, et al.
Journal of Linguistics (2019) Vol. 57, Iss. 1, pp. 123-161
Open Access | Times Cited: 70
CiwGAN and fiwGAN: Encoding information in acoustic data to model lexical learning with Generative Adversarial Networks
Gašper Beguš
Neural Networks (2021) Vol. 139, pp. 305-325
Open Access | Times Cited: 28
Modeling Morphological Priming in German With Naive Discriminative Learning
R. Harald Baayen, Eva Smolka
Frontiers in Communication (2020) Vol. 5
Open Access | Times Cited: 31
Prediction and error in early infant speech learning: A speech acquisition model
Jessie S. Nixon, Fabian Tomaschek
Cognition (2021) Vol. 212, pp. 104697-104697
Open Access | Times Cited: 27
LDL-AURIS: a computational model, grounded in error-driven learning, for the comprehension of single spoken words
Elnaz Shafaei-Bajestan, Masoumeh Moradipour-Tari, Peter Uhrig, et al.
Language Cognition and Neuroscience (2021) Vol. 38, Iss. 4, pp. 509-536
Open Access | Times Cited: 22
The Keys to the Future? An Examination of Statistical Versus Discriminative Accounts of Serial Pattern Learning
Fabian Tomaschek, Michael Ramscar, Jessie S. Nixon
Cognitive Science (2024) Vol. 48, Iss. 2
Open Access | Times Cited: 3
Bilingual and Multilingual Mental Lexicon: A Modeling Study With Linear Discriminative Learning
Yu‐Ying Chuang, Melanie J. Bell, Isabelle Banke, et al.
Language Learning (2020) Vol. 71, Iss. S1, pp. 219-292
Open Access | Times Cited: 16
Modeling the Duration of Word-Final S in English with Naive Discriminative Learning
Fabian Tomaschek, Ingo Plag, Mirjam Ernestus, et al.
(2019)
Open Access | Times Cited: 15
Simulating phonological and semantic impairment of English tense inflection with linear discriminative learning
Maria Heitmeier, R. Harald Baayen
The Mental Lexicon (2020) Vol. 15, Iss. 3, pp. 385-421
Open Access | Times Cited: 12
Modeling morphological priming in German with naive discriminative learning
R. Harald Baayen, Eva Smolka
(2019)
Open Access | Times Cited: 11
LDL-AURIS: A computational model, grounded in error-driven learning, for the comprehension of single spoken words
Elnaz Shafaei-Bajestan, Masoumeh Moradipour-Tari, Peter Uhrig, et al.
(2020)
Open Access | Times Cited: 9
pyndl: Naïve Discriminative Learning in Python
Konstantin Sering, Marc Weitz, Elnaz Shafaei-Bajestan, et al.
The Journal of Open Source Software (2022) Vol. 7, Iss. 80, pp. 4515-4515
Open Access | Times Cited: 6
Introduction to the special issue emergence of speech and language from prediction error: error-driven language models
Jessie S. Nixon, Fabian Tomaschek
Language Cognition and Neuroscience (2023) Vol. 38, Iss. 4, pp. 411-418
Open Access | Times Cited: 3
Prediction and error in early infant speech learning: a speech acquisition model
Jessie S. Nixon, Fabian Tomaschek
(2021)
Open Access | Times Cited: 7
Simulating phonological and semantic impairment of English tense inflection with linear discriminative learning
Maria Heitmeier, R. Harald Baayen
(2020)
Open Access | Times Cited: 5
WILDA: Wide Learning of Diverse Architectures for Classification of Large Datasets
Rui P.R. Cardoso, Emma Hart, David Burth Kurka, et al.
Lecture notes in computer science (2021), pp. 649-664
Closed Access | Times Cited: 4
CiwGAN and fiwGAN: Encoding information in acoustic data to model lexical learning with Generative Adversarial Networks
Gašper Beguš
(2020)
Open Access | Times Cited: 4
Bilingual and multilingual mental lexicon: a modeling study with Linear Discriminative Learning
Yu‐Ying Chuang, Melanie J. Bell, Isabelle, et al.
(2020)
Open Access | Times Cited: 3
The keys to the future? An examination of associative versus discriminative accounts of Serial Pattern Learning
Fabian Tomaschek, Michael Ramscar, Jessie S. Nixon
(2022)
Open Access | Times Cited: 2
On the Use/Misuse of the Term 'Phoneme'
Roger K. Moore, Lucy Skidmore
arXiv (Cornell University) (2019)
Closed Access
Brain Mapping: Location of the Words Through EEG
Omar Cano-Garcia, María Hernández-Rizo, Lorena Malinalli López-Medina, et al.
IFMBE proceedings (2022), pp. 342-351
Closed Access
Strati cation without morphological strata, syllable counting without counts - modelling English stress assignment with Naive Discriminative Learning
Sabine Arndt‐Lappe, Robin Schrecklinger, Fabian Tomaschek
(2021)
Closed Access
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