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-Based Prediction of Successful Memory Formation During Vocabulary Learning
Taeho Kang, Yiyu Chen, Siamac Fazli, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) Vol. 28, Iss. 11, pp. 2377-2389
Open Access | Times Cited: 9
Taeho Kang, Yiyu Chen, Siamac Fazli, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) Vol. 28, Iss. 11, pp. 2377-2389
Open Access | Times Cited: 9
Showing 9 citing articles:
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
Nuraini Jamil, Abdelkader Nasreddine Belkacem, Sofía Ouhbi, et al.
IEEE Access (2021) Vol. 9, pp. 134122-134147
Open Access | Times Cited: 50
Prediction of Successful Memory Formation during Audiovisual advertising using EEG signals
Vangelis P. Oikonomou, Kostas Geordiadis, Fotis P. Kalaganis, et al.
(2024), pp. 1111-1116
Closed Access | Times Cited: 2
Vangelis P. Oikonomou, Kostas Geordiadis, Fotis P. Kalaganis, et al.
(2024), pp. 1111-1116
Closed Access | Times Cited: 2
Understanding Learning from EEG Data: Combining Machine Learning and Feature Engineering Based on Hidden Markov Models and Mixed Models
Gabriel Rodrigues Palma, Conor Thornberry, Seán Commins, et al.
Neuroinformatics (2024)
Open Access
Gabriel Rodrigues Palma, Conor Thornberry, Seán Commins, et al.
Neuroinformatics (2024)
Open Access
Progress in Non-Invasive Cognitive Brain-Computer Interface and Implications for Mind-Uploading
I Wayan Aswin Dew Astawa, Hindriyanto Dwi Purnomo, Irwan Sembiring
International Journal of Artificial Intelligence Research (2024) Vol. 8, Iss. 1, pp. 30-30
Open Access
I Wayan Aswin Dew Astawa, Hindriyanto Dwi Purnomo, Irwan Sembiring
International Journal of Artificial Intelligence Research (2024) Vol. 8, Iss. 1, pp. 30-30
Open Access
A Science-Based Environment for Lexical Language Learning
Vered Levi Zaydel
Lecture notes in networks and systems (2024), pp. 45-63
Closed Access
Vered Levi Zaydel
Lecture notes in networks and systems (2024), pp. 45-63
Closed Access
Predicting the Transition from Short-term to Long-term Memory based on Deep Neural Network
Gi-Hwan Shin, Young-Seok Kweon, Minji Lee
(2021) Vol. 7, pp. 1-5
Open Access | Times Cited: 2
Gi-Hwan Shin, Young-Seok Kweon, Minji Lee
(2021) Vol. 7, pp. 1-5
Open Access | Times Cited: 2
Predicting the Transition from Short-term to Long-term Memory based on Deep Neural Network
Gi-Hwan Shin, Young-Seok Kweon, Minji Lee
arXiv (Cornell University) (2020)
Open Access | Times Cited: 1
Gi-Hwan Shin, Young-Seok Kweon, Minji Lee
arXiv (Cornell University) (2020)
Open Access | Times Cited: 1
Explainable machine learning for memory-related decoding via TabNet and non-linear features
Maxim Mametkulov, Abay Artykbayev, Darina Koishigarina, et al.
(2022), pp. 1-7
Closed Access | Times Cited: 1
Maxim Mametkulov, Abay Artykbayev, Darina Koishigarina, et al.
(2022), pp. 1-7
Closed Access | Times Cited: 1
Using EEG Brain Signals to Predict Children’s Learning Performance During Technology-assisted Language Learning
Nikolas Nakov, Maryam Alimardani
(2022), pp. 1-5
Closed Access | Times Cited: 1
Nikolas Nakov, Maryam Alimardani
(2022), pp. 1-5
Closed Access | Times Cited: 1
