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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:

BCI-Based Consumers' Choice Prediction From EEG Signals: An Intelligent Neuromarketing Framework
Fazla Rabbi Mashrur, Khandoker Mahmudur Rahman, Mohammad Tohidul Islam Miya, et al.
Frontiers in Human Neuroscience (2022) Vol. 16
Open Access | Times Cited: 22

Showing 22 citing articles:

Brain–computer interface: trend, challenges, and threats
Baraka Maiseli, Abdi T. Abdalla, Libe Valentine Massawe, et al.
Brain Informatics (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 53
A systematic review on EEG-based neuromarketing: recent trends and analyzing techniques
Md. Fazlul Karim Khondakar, Md. Hasib Sarowar, Mehdi Hasan Chowdhury, et al.
Brain Informatics (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 7
ODL-BCI: Optimal deep learning model for brain-computer interface to classify students confusion via hyperparameter tuning
Md Ochiuddin Miah, Umme Habiba, Md Faisal Kabir
Brain Disorders (2024) Vol. 13, pp. 100121-100121
Open Access | Times Cited: 5
Brain–computer interfaces for security and authentication
Moumita Chanda, Olive Mazumder, Souvik Paul, et al.
Elsevier eBooks (2025), pp. 205-225
Closed Access
A systematic review of the prediction of consumer preference using EEG measures and machine-learning in neuromarketing research
Adam Byrne, Emma Bonfiglio, Colin Rigby, et al.
Brain Informatics (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 22
A Review on the Use of EEG for the Investigation of the Factors that Affect Consumer’s Behavior
Antiopi Panteli, Eirini Kalaitzi, Christos Fidas
Physiology & Behavior (2024) Vol. 278, pp. 114509-114509
Closed Access | Times Cited: 4
Intelligent neuromarketing framework for consumers' preference prediction from electroencephalography signals and eye tracking
Fazla Rabbi Mashrur, Khandoker Mahmudur Rahman, Mohammad Tohidul Islam Miya, et al.
Journal of Consumer Behaviour (2023) Vol. 23, Iss. 3, pp. 1146-1157
Closed Access | Times Cited: 9
Enhancing learning experiences: EEG-based passive BCI system adapts learning speed to cognitive load in real-time, with motivation as catalyst
Noémie Beauchemin, Patrick Charland, Alexander J. Karran, et al.
Frontiers in Human Neuroscience (2024) Vol. 18
Open Access | Times Cited: 2
Neural mechanisms of expert persuasion on willingness to pay for sugar
Ioannis Ntoumanis, Alina Davydova, Julia Sheronova, et al.
Frontiers in Behavioral Neuroscience (2023) Vol. 17
Open Access | Times Cited: 6
Artificial Intelligence and Behavioral Economics: A Bibliographic Analysis of Research Field
Zakaria Aoujil, Mohamed Hanine, Emmanuel Soriano Flores, et al.
IEEE Access (2023) Vol. 11, pp. 139367-139394
Open Access | Times Cited: 6
Electroencephalography Studies on Marketing Stimuli: A Literature Review and Future Research Agenda
Ahmed H. Alsharif, Salmi Mohd Isa
International Journal of Consumer Studies (2024) Vol. 49, Iss. 1
Closed Access | Times Cited: 1
Discrimination of Customers Decision-Making in a Like/Dislike Shopping Activity Based on Genders: A Neuromarketing Study
Atefe Hassani, Amin Hekmatmanesh, Ali Motie Nasrabadi
IEEE Access (2022) Vol. 10, pp. 92454-92466
Open Access | Times Cited: 6
AI-based Consumers' Preference Prediction Using a Research-grade BCI and a Commercial-grade BCI for Neuromarketing: A Systematic Comparison
Farhan Ishtiaque, Fazla Rabbi Mashrur, Mohammad Tohidul Islam Miya, et al.
(2023)
Closed Access | Times Cited: 3
Human behavior in free search online shopping scenarios can be predicted from EEG activation using Hjorth parameters
Ninja K. Horr, Bijan Mousavi, Keren Han, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 2
Preference detection of the humanoid robot face based on EEG and eye movement
Pengchao Wang, Wei Mu, Gege Zhan, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 19, pp. 11603-11621
Closed Access
Neuromarketing Intelligence to Understand Customer Behaviour
Arabinda Bhandari
Advances in marketing, customer relationship management, and e-services book series (2024), pp. 123-154
Closed Access
Leveraging Neuromarketing Technologies to Enhance Agile Marketing Strategies
Shashank Mittal, Ashutosh Pandey, Ajay Chandel, et al.
Advances in marketing, customer relationship management, and e-services book series (2024), pp. 275-302
Closed Access
Multiclass classification of Autism Spectrum Disorder, attention deficit hyperactivity disorder, and typically developed individuals using fMRI functional connectivity analysis
Caroline L. Alves, Tiago Martinelli, Loriz Francisco Sallum, et al.
PLoS ONE (2024) Vol. 19, Iss. 10, pp. e0305630-e0305630
Open Access
RACE: A Real-Time Architecture for Cognitive State Estimation, Development Overview and Study in Progress
Noémie Beauchemin, Alexander J. Karran, Jared Boasen, et al.
Lecture notes in information systems and organisation (2024), pp. 9-20
Closed Access
ODL-BCI: Optimal deep learning model for brain-computer interface to classify students confusion via hyperparameter tuning
Md Ochiuddin Miah, Umme Habiba, Md Faisal Kabir
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
BCI-based Consumers’ Preference Prediction using Single Channel Commercial EEG Device
Farhan Ishtiaque, Fazla Rabbi Mashrur, Mohammad Touhidul Islam Miya, et al.
(2022), pp. 43-48
Closed Access | Times Cited: 1
Analysis of Consumer Coffee Brand Preferences Using Brain-Computer Interface and Deep Learning
Mounika Maram, Mohammad Affan Khalil, Kiran George
(2023), pp. 227-232
Closed Access
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