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:

Dynamics of EEG functional connectivity during statistical learning
Brigitta Tóth, Karolina Janacsek, Ádám Takács, et al.
Neurobiology of Learning and Memory (2017) Vol. 144, pp. 216-229
Open Access | Times Cited: 67

Showing 26-50 of 67 citing articles:

EEG is better when cleaning effectively targets artifacts
Neil W. Bailey, Aron T. Hill, Kate Godfrey, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2

Learning and memory processes in behavioural addiction: A systematic review
Ronald Ngetich, Cristina Villalba-García, Yanisha Soborun, et al.
Neuroscience & Biobehavioral Reviews (2024) Vol. 163, pp. 105747-105747
Open Access | Times Cited: 2

Similarity of brain activity patterns during learning and subsequent resting state predicts memory consolidation
Zsófia Zavecz, Karolina Janacsek, Péter Simor, et al.
Cortex (2024) Vol. 179, pp. 168-190
Open Access | Times Cited: 2

Implicit anticipation of probabilistic regularities: Larger CNV emerges for unpredictable events
Andrea Kóbor, Zsófia Kardos, Kata Horváth, et al.
Neuropsychologia (2021) Vol. 156, pp. 107826-107826
Open Access | Times Cited: 16

Retrieval of a well-established skill is resistant to distraction: Evidence from an implicit probabilistic sequence learning task
Teodóra Vékony, Lilla Török, Felipe Pedraza, et al.
PLoS ONE (2020) Vol. 15, Iss. 12, pp. e0243541-e0243541
Open Access | Times Cited: 16

A neurophysiological perspective on the integration between incidental learning and cognitive control
Ádám Takács, Christian Beste
Communications Biology (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 5

Slow oscillation-spindle coupling predicts sequence-based language learning
Zachariah R. Cross, Randolph F. Helfrich, Andrew W. Corcoran, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 14

Error Processing During the Online Retrieval of Probabilistic Sequence Knowledge
Kata Horváth, Zsófia Kardos, Ádám Takács, et al.
Journal of Psychophysiology (2020) Vol. 35, Iss. 2, pp. 61-75
Open Access | Times Cited: 12

Functional connectivity via the dorsolateral prefrontal cortex in the late phase of rest periods predicts offline learning
Ryushin Kawasoe, S Takano, Yui Yasumoto, et al.
Neuroscience Letters (2024) Vol. 822, pp. 137645-137645
Closed Access | Times Cited: 1

Working memory affects anticipatory behavior during implicit pattern learning
Srdan Medimorec, Petar Milin, Dagmar Divjak
Psychological Research (2019) Vol. 85, Iss. 1, pp. 291-301
Open Access | Times Cited: 11

Frontal-midline theta frequency and probabilistic learning: A transcranial alternating current stimulation study
Zsófia Zavecz, Kata Horváth, P. Solymosi, et al.
Behavioural Brain Research (2020) Vol. 393, pp. 112733-112733
Open Access | Times Cited: 11

Potential and efficiency of statistical learning closely intertwined with individuals’ executive functions: a mathematical modeling study
Jungtak Park, Hee-Dong Yoon, tae-hyun yoo, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 11

Explicit instruction differentially affects subcomponents of procedural learning and consolidation
Kata Horváth, Csenge Török, Orsolya Pesthy, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2018), pp. 433243
Open Access | Times Cited: 10

Slow wave-spindle coupling during sleep predicts language learning and associated oscillatory activity
Zachariah R. Cross, Randolph F. Helfrich, Mark Kohler, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 10

Spatiotemporal dynamics of working memory under the influence of emotions based on EEG
Yuanyuan Zhang, Baolin Liu, Xiaorong Gao
Journal of Neural Engineering (2020) Vol. 17, Iss. 2, pp. 026039-026039
Closed Access | Times Cited: 10

Rethinking statistical learning as a continuous dynamic stochastic process, from the motor systems perspective
Anna Vaskevich, Elizabeth B. Torres
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 6

Evidence for a competitive relationship between executive functions and statistical learning
Felipe Pedraza, Bence Csaba Farkas, Teodóra Vékony, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3

Intention to learn differentially affects subprocesses of procedural learning and consolidation: Evidence from a probabilistic sequence learning task
Kata Horváth, Csenge Török, Orsolya Pesthy, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2018)
Closed Access | Times Cited: 9

Assessing the impact of attention fluctuations on statistical learning
Z. Zhang, Monica D. Rosenberg
Attention Perception & Psychophysics (2023) Vol. 86, Iss. 4, pp. 1086-1107
Closed Access | Times Cited: 3

Skill learning can be independent of speed and accuracy instructions
Teodóra Vékony, Hanna Marossy, Anita Must, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2019)
Open Access | Times Cited: 6

Functional Brain Network Analysis of Knowledge Transfer While Engineering Problem-Solving
Fuhua Wang, Zuhua Jiang, Xinyu Li, et al.
Frontiers in Human Neuroscience (2021) Vol. 15
Open Access | Times Cited: 6

Mind wandering enhances predictive processing
Teodóra Vékony, Bence Csaba Farkas, Bianka Brezóczki, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 2

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