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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:

EEG phase patterns reflect the representation of semantic categories of objects
Mehdi Behroozi, Mohammad Reza Daliri, Babak Shekarchi
Medical & Biological Engineering & Computing (2015) Vol. 54, Iss. 1, pp. 205-221
Closed Access | Times Cited: 22

Showing 22 citing articles:

Characterizing the roles of alpha and theta oscillations in multisensory attention
Arielle S. Keller, Lisa Payne, Robert Sekuler
Neuropsychologia (2017) Vol. 99, pp. 48-63
Open Access | Times Cited: 84
Using event related potentials to identify a user's behavioural intention aroused by product form design
Yi Ding, Fu Guo, Xuefeng Zhang, et al.
Applied Ergonomics (2016) Vol. 55, pp. 117-123
Closed Access | Times Cited: 40
Neural decoding of semantic concepts: a systematic literature review
Milan Rybář, Ian Daly
Journal of Neural Engineering (2022) Vol. 19, Iss. 2, pp. 021002-021002
Open Access | Times Cited: 17
What do you have in mind? ERP markers of visual and auditory imagery
Alice Mado Proverbio, Marta Tacchini, Kaijun Jiang
Brain and Cognition (2023) Vol. 166, pp. 105954-105954
Open Access | Times Cited: 10
Hard-wired feed-forward visual mechanisms of the brain compensate for affine variations in object recognition
Hamid Karimi-Rouzbahani, Nasour Bagheri, Reza Ebrahimpour
Neuroscience (2017) Vol. 349, pp. 48-63
Closed Access | Times Cited: 32
Frequency–amplitude coupling: a new approach for decoding of attended features in covert visual attention task
Saeideh Davoudi, Amirmasoud Ahmadi, Mohammad Reza Daliri
Neural Computing and Applications (2020) Vol. 33, Iss. 8, pp. 3487-3502
Closed Access | Times Cited: 23
Average activity, but not variability, is the dominant factor in the representation of object categories in the brain
Hamid Karimi-Rouzbahani, Nasour Bagheri, Reza Ebrahimpour
Neuroscience (2017) Vol. 346, pp. 14-28
Closed Access | Times Cited: 24
Temporal Variabilities Provide Additional Category-Related Information in Object Category Decoding: A Systematic Comparison of Informative EEG Features
Hamid Karimi-Rouzbahani, Mozhgan Shahmohammadi, Ehsan Vahab, et al.
Neural Computation (2021), pp. 1-46
Open Access | Times Cited: 14
A new method to detect event-related potentials based on Pearson’s correlation
William Giroldini, Luciano Pederzoli, Marco Bilucaglia, et al.
EURASIP Journal on Bioinformatics and Systems Biology (2016) Vol. 2016, Iss. 1
Open Access | Times Cited: 14
Long short‐term memory‐based neural decoding of object categories evoked by natural images
Wei Huang, Hongmei Yan, Chong Wang, et al.
Human Brain Mapping (2020) Vol. 41, Iss. 15, pp. 4442-4453
Open Access | Times Cited: 13
Correlates of Implicit Semantic Processing as Revealed by Representational Similarity Analysis Applied to EEG
Vincent Weber, Simon Ruch, Nicole H Skieresz, et al.
iScience (2024) Vol. 27, Iss. 11, pp. 111149-111149
Closed Access | Times Cited: 1
Using data from cue presentations results in grossly overestimating semantic BCI performance
Milan Rybář, Riccardo Poli, Ian Daly
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Ventral and Dorsal Stream EEG Channels: Key Features for EEG-Based Object Recognition and Identification
Daniel J. Leong, Tien‐Thong Nguyen, Chin‐Teng Lin
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 4862-4870
Open Access | Times Cited: 3
Temporal variabilities provide additional category-related information in object category decoding: a systematic comparison of informative EEG features
Hamid Karimi-Rouzbahani, Mozhgan Shahmohammadi, Ehsan Vahab, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 8
A New Method to Detect Event-Related Potentials Based on Pearson’s Correlation
William Giroldini, Luciano Pederzoli, Marco Bilucaglia, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2015)
Open Access | Times Cited: 5
A hybrid cascade method for EEG classification
Ines Homri, Slim Yacoub
Pattern Analysis and Applications (2018) Vol. 22, Iss. 4, pp. 1505-1516
Closed Access | Times Cited: 5
A New Method to Detect Event-Related Potentials Based on Pearson'S Correlation
William Giroldini, Luciano Pederzoli, Marco Bilucaglia, et al.
SSRN Electronic Journal (2015)
Open Access | Times Cited: 4
Choice-dependent delta-band neural trajectory during semantic category decision making in the human brain
Jongrok Do, Oliver James, Yee‐Joon Kim
iScience (2024) Vol. 27, Iss. 7, pp. 110173-110173
Open Access
The distinction between object recognition and object identification in brain connectivity for brain-computer interface applications
Daniel J. Leong, Tien‐Thong Nguyen, Chin‐Teng Lin
IEEE Transactions on Cognitive and Developmental Systems (2024) Vol. 17, Iss. 1, pp. 89-101
Closed Access
Investigation of the phase feature of low-frequency electroencephalography signals for decoding hand movement parameters
Yuanzi Sun, Hong Zeng, Aiguo Song, et al.
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2017) Vol. 37, pp. 2312-2316
Closed Access | Times Cited: 1
Informative Neural Codes to Separate Object Categories
Mozhgan Shahmohammadi, Ehsan Vahab, Hamid Karimi-Rouzbahani
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Closed Access
How Objects Categorize the Human Brain: EEG and fMRI as Analysis Point.
Rigoberto Cerino, Sergio H. Vergara
(2020) Vol. 149, pp. 43-55
Closed Access
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