OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Showing 1-25 of 91 citing articles:

Grounding the neurobiology of language in first principles: The necessity of non-language-centric explanations for language comprehension
Uri Hasson, Giovanna Egidi, Marco Marelli, et al.
Cognition (2018) Vol. 180, pp. 135-157
Open Access | Times Cited: 149

Why is the Rescorla-Wagner model so influential?
Fabián A. Soto, Edgar Vögel, Yerco E. Uribe-Bahamonde, et al.
Neurobiology of Learning and Memory (2023) Vol. 204, pp. 107794-107794
Open Access | Times Cited: 23

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

Practice makes perfect: the consequences of lexical proficiency for articulation
Fabian Tomaschek, Benjamin V. Tucker, Matteo Fasiolo, et al.
Linguistics Vanguard (2018) Vol. 4, Iss. s2
Closed Access | Times Cited: 60

The processing of pseudoword form and meaning in production and comprehension: A computational modeling approach using linear discriminative learning
Yu-Ying Chuang, Marie Lenka Vollmer, Elnaz Shafaei-Bajestan, et al.
Behavior Research Methods (2020) Vol. 53, Iss. 3, pp. 945-976
Open Access | Times Cited: 58

Production of Estonian case-inflected nouns shows whole-word frequency and paradigmatic effects
Kaidi Lõo, Juhani Järvikivi, Fabian Tomaschek, et al.
Morphology (2018) Vol. 28, Iss. 1, pp. 71-97
Closed Access | Times Cited: 59

Variation in the speech signal as a window into the cognitive architecture of language production
Audrey Bürki
Psychonomic Bulletin & Review (2018) Vol. 25, Iss. 6, pp. 1973-2004
Open Access | Times Cited: 59

How trial-to-trial learning shapes mappings in the mental lexicon: Modelling lexical decision with linear discriminative learning
Maria Heitmeier, Yu‐Ying Chuang, R. Harald Baayen
Cognitive Psychology (2023) Vol. 146, pp. 101598-101598
Open Access | Times Cited: 15

Spontaneous Speech
Benjamin V. Tucker, Yoichi Mukai
(2023)
Closed Access | Times Cited: 12

Distributional learning is error-driven: the role of surprise in the acquisition of phonetic categories
Paul Olejarczuk, Vsevolod Kapatsinski, R. Harald Baayen
Linguistics Vanguard (2018) Vol. 4, Iss. s2
Closed Access | Times Cited: 34

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

Modeling Morphology With Linear Discriminative Learning: Considerations and Design Choices
Maria Heitmeier, Yu‐Ying Chuang, R. Harald Baayen
Frontiers in Psychology (2021) Vol. 12
Open Access | Times Cited: 24

An exploration of error-driven learning in simple two-layer networks from a discriminative learning perspective
Dorothée B. Hoppe, Petra Hendriks, Michael Ramscar, et al.
Behavior Research Methods (2022) Vol. 54, Iss. 5, pp. 2221-2251
Open Access | Times Cited: 17

Learning mechanisms in cue reweighting
Zara Harmon, Kaori Idemaru, Vsevolod Kapatsinski
Cognition (2019) Vol. 189, pp. 76-88
Closed Access | Times Cited: 27

Psycho-computational modelling of the mental lexicon
Vito Pirrelli, Claudia Marzi, Marcello Ferro, et al.
De Gruyter eBooks (2020), pp. 23-82
Open Access | Times Cited: 25

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

Are baboons learning "orthographic" representations? Probably not
Maja Linke, Franziska Bröker, Michael Ramscar, et al.
PLoS ONE (2017) Vol. 12, Iss. 8, pp. e0183876-e0183876
Open Access | Times Cited: 27

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

Modelling Maltese noun plural classes without morphemes
Jessica Nieder, Fabian Tomaschek, Enum Cohrs, et al.
Language Cognition and Neuroscience (2021) Vol. 37, Iss. 3, pp. 381-402
Open Access | Times Cited: 18

Page 1 - Next Page

Scroll to top