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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:

Games, Gameplay, and BCI: The State of the Art
David Marshall, Damien Coyle, Shane Wilson, et al.
IEEE Transactions on Computational Intelligence and AI in Games (2013) Vol. 5, Iss. 2, pp. 82-99
Closed Access | Times Cited: 211

Showing 1-25 of 211 citing articles:

Current Status, Challenges, and Possible Solutions of EEG-Based Brain-Computer Interface: A Comprehensive Review
Mamunur Rashid, Norizam Sulaiman, Anwar P. P. Abdul Majeed, et al.
Frontiers in Neurorobotics (2020) Vol. 14
Open Access | Times Cited: 341
Transfer Learning for EEG-Based Brain–Computer Interfaces: A Review of Progress Made Since 2016
Dongrui Wu, Yifan Xu, Bao‐Liang Lu
IEEE Transactions on Cognitive and Developmental Systems (2020) Vol. 14, Iss. 1, pp. 4-19
Open Access | Times Cited: 257
Brain computer interface based applications for training and rehabilitation of students with neurodevelopmental disorders. A literature review
George Papanastasiou, Athanasios Drigas, Charalabos Skianis, et al.
Heliyon (2020) Vol. 6, Iss. 9, pp. e04250-e04250
Open Access | Times Cited: 144
A new technology perspective of the Metaverse: Its essence, framework and challenges
Feifei Shi, Huansheng Ning, Xiaohong Zhang, et al.
Digital Communications and Networks (2023)
Open Access | Times Cited: 79
Role of machine learning and deep learning techniques in EEG-based BCI emotion recognition system: a review
Priyadarsini Samal, Mohammad Farukh Hashmi
Artificial Intelligence Review (2024) Vol. 57, Iss. 3
Open Access | Times Cited: 23
A Human-Centric Metaverse Enabled by Brain-Computer Interface: A Survey
Howe Yuan Zhu, Nguyen Quang Hieu, Dinh Thai Hoang, et al.
IEEE Communications Surveys & Tutorials (2024) Vol. 26, Iss. 3, pp. 2120-2145
Open Access | Times Cited: 17
A Review of Brain-Computer Interface Games and an Opinion Survey from Researchers, Developers and Users
Minkyu Ahn, Mi-Jin Lee, Jinyoung Choi, et al.
Sensors (2014) Vol. 14, Iss. 8, pp. 14601-14633
Open Access | Times Cited: 176
EEG-based BCI and video games: a progress report
Bojan Kerouš, Filip Škola, Fotis Liarokapis
Virtual Reality (2017) Vol. 22, Iss. 2, pp. 119-135
Closed Access | Times Cited: 167
DARPA-funded efforts in the development of novel brain–computer interface technologies
Robbin A. Miranda, William D. Casebeer, Amy M. Hein, et al.
Journal of Neuroscience Methods (2014) Vol. 244, pp. 52-67
Open Access | Times Cited: 166
Brain–Computer Interface Games Based on Consumer-Grade EEG Devices: A Systematic Literature Review
Gabriel Alves Mendes Vasiljevic, Leonardo Cunha de Miranda
International Journal of Human-Computer Interaction (2019) Vol. 36, Iss. 2, pp. 105-142
Closed Access | Times Cited: 136
A hybrid BCI based on EEG and fNIRS signals improves the performance of decoding motor imagery of both force and speed of hand clenching
Xuxian Yin, Baolei Xu, Changhao Jiang, et al.
Journal of Neural Engineering (2015) Vol. 12, Iss. 3, pp. 036004-036004
Closed Access | Times Cited: 122
Quantum Neural Network-Based EEG Filtering for a Brain–Computer Interface
Vaibhav Gandhi, Girijesh Prasad, Damien Coyle, et al.
IEEE Transactions on Neural Networks and Learning Systems (2013) Vol. 25, Iss. 2, pp. 278-288
Closed Access | Times Cited: 107
A 1D CNN for high accuracy classification and transfer learning in motor imagery EEG-based brain-computer interface
F. Mattioli, Camillo Porcaro, Gianluca Baldassarre
Journal of Neural Engineering (2021) Vol. 18, Iss. 6, pp. 066053-066053
Open Access | Times Cited: 100
Ten challenges for EEG-based affective computing
Xin Hu, Jingjing Chen, Fei Wang, et al.
Brain Science Advances (2019) Vol. 5, Iss. 1, pp. 1-20
Open Access | Times Cited: 88
A review of user training methods in brain computer interfaces based on mental tasks
Aline Roc, Léa Pillette, Jelena Mladenović, et al.
Journal of Neural Engineering (2020) Vol. 18, Iss. 1, pp. 011002-011002
Open Access | Times Cited: 80
Evaluation of Hyperparameter Optimization in Machine and Deep Learning Methods for Decoding Imagined Speech EEG
Ciaran Cooney, Attila Korik, Raffaella Folli, et al.
Sensors (2020) Vol. 20, Iss. 16, pp. 4629-4629
Open Access | Times Cited: 77
Affective Brain–Computer Interfaces (aBCIs): A Tutorial
Dongrui Wu, Bao‐Liang Lu, Bin Hu, et al.
Proceedings of the IEEE (2023) Vol. 111, Iss. 10, pp. 1314-1332
Closed Access | Times Cited: 38
Deep Learning in EEG-Based BCIs: A Comprehensive Review of Transformer Models, Advantages, Challenges, and Applications
Berdakh Abibullaev, Aigerim Keutayeva, Amin Zollanvari
IEEE Access (2023) Vol. 11, pp. 127271-127301
Open Access | Times Cited: 29
Electroencephalogram based brain-computer interface: Applications, challenges, and opportunities
Hitesh Yadav, Surita Maini
Multimedia Tools and Applications (2023) Vol. 82, Iss. 30, pp. 47003-47047
Open Access | Times Cited: 28
Emotion recognition with EEG-based brain-computer interfaces: a systematic literature review
Kübra Erat, Elif Bilge Şahin, Furkan Doğan, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 33, pp. 79647-79694
Open Access | Times Cited: 10
Electroencephalography (EEG)‐Based Brain–Computer Interfaces
Fabien Lotte, Laurent Bougrain, Maureen Clerc
Wiley Encyclopedia of Electrical and Electronics Engineering (2015), pp. 1-20
Open Access | Times Cited: 79
An embedded implementation based on adaptive filter bank for brain–computer interface systems
Kais Belwafi, Olivier Romain, Sofien Gannouni, et al.
Journal of Neuroscience Methods (2018) Vol. 305, pp. 1-16
Closed Access | Times Cited: 68
Towards a Hybrid BCI Gaming Paradigm Based on Motor Imagery and SSVEP
Zhihua Wang, Yang Yu, Ming Xu, et al.
International Journal of Human-Computer Interaction (2018) Vol. 35, Iss. 3, pp. 197-205
Closed Access | Times Cited: 67
"Let's Get Physiological, Physiological!"
Raquel Robinson, Katelyn Wiley, Amir Rezaeivahdati, et al.
(2020), pp. 132-147
Closed Access | Times Cited: 59
Cognitive and Affective Brain–Computer Interfaces for Improving Learning Strategies and Enhancing Student Capabilities: A Systematic Literature Review
Nuraini Jamil, Abdelkader Nasreddine Belkacem, Sofía Ouhbi, et al.
IEEE Access (2021) Vol. 9, pp. 134122-134147
Open Access | Times Cited: 50
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