
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:
Deep Learning Algorithms in EEG Signal Decoding Application: A Review
Ramesh Babu Vallabhaneni, Pankaj Sharma, Vinit Kumar, et al.
IEEE Access (2021) Vol. 9, pp. 125778-125786
Open Access | Times Cited: 19
Ramesh Babu Vallabhaneni, Pankaj Sharma, Vinit Kumar, et al.
IEEE Access (2021) Vol. 9, pp. 125778-125786
Open Access | Times Cited: 19
Showing 19 citing articles:
Status of deep learning for EEG-based brain–computer interface applications
Khondoker Murad Hossain, Md. Ariful Islam, Shahera Hossain, et al.
Frontiers in Computational Neuroscience (2023) Vol. 16
Open Access | Times Cited: 48
Khondoker Murad Hossain, Md. Ariful Islam, Shahera Hossain, et al.
Frontiers in Computational Neuroscience (2023) Vol. 16
Open Access | Times Cited: 48
Cognitive neuroscience and robotics: Advancements and future research directions
Sichao Liu, Lihui Wang, Robert X. Gao
Robotics and Computer-Integrated Manufacturing (2023) Vol. 85, pp. 102610-102610
Open Access | Times Cited: 46
Sichao Liu, Lihui Wang, Robert X. Gao
Robotics and Computer-Integrated Manufacturing (2023) Vol. 85, pp. 102610-102610
Open Access | Times Cited: 46
Survey on the research direction of EEG-based signal processing
Congzhong Sun, Chaozhou Mou
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 17
Congzhong Sun, Chaozhou Mou
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 17
A systematic comparison of deep learning methods for EEG time series analysis
Dominik Walther, Johannes Viehweg, Jens Haueisen, et al.
Frontiers in Neuroinformatics (2023) Vol. 17
Open Access | Times Cited: 13
Dominik Walther, Johannes Viehweg, Jens Haueisen, et al.
Frontiers in Neuroinformatics (2023) Vol. 17
Open Access | Times Cited: 13
Neural electrodes for brain‐computer interface system: From rigid to soft
Dan Yang, Gongwei Tian, Jianhui Chen, et al.
BMEMat (2025)
Open Access
Dan Yang, Gongwei Tian, Jianhui Chen, et al.
BMEMat (2025)
Open Access
Conditional Denoising Diffusion-based Channel Estimation for Fast Time-Varying MIMO-OFDM Systems
Fu Heng, Weijian Si, Ruizhi Liu
Digital Signal Processing (2025), pp. 105283-105283
Closed Access
Fu Heng, Weijian Si, Ruizhi Liu
Digital Signal Processing (2025), pp. 105283-105283
Closed Access
Enhancing Classification Accuracy with Integrated Contextual Gate Network: Deep Learning Approach for Functional Near-Infrared Spectroscopy Brain–Computer Interface Application
Jamila Akhter, Noman Naseer, Hammad Nazeer, et al.
Sensors (2024) Vol. 24, Iss. 10, pp. 3040-3040
Open Access | Times Cited: 2
Jamila Akhter, Noman Naseer, Hammad Nazeer, et al.
Sensors (2024) Vol. 24, Iss. 10, pp. 3040-3040
Open Access | Times Cited: 2
Decoding the application of deep learning in neuroscience: a bibliometric analysis
Li Yin, Zilong Zhong
Frontiers in Computational Neuroscience (2024) Vol. 18
Open Access | Times Cited: 2
Li Yin, Zilong Zhong
Frontiers in Computational Neuroscience (2024) Vol. 18
Open Access | Times Cited: 2
Flower Identification and Classification applying CNN through Deep Learning Methodologies
Ancha Venkata Sai, M. Sai Veerabhadra Hitesh, Vijaya Chandra Jadala, et al.
2022 International Mobile and Embedded Technology Conference (MECON) (2022), pp. 173-180
Closed Access | Times Cited: 8
Ancha Venkata Sai, M. Sai Veerabhadra Hitesh, Vijaya Chandra Jadala, et al.
2022 International Mobile and Embedded Technology Conference (MECON) (2022), pp. 173-180
Closed Access | Times Cited: 8
A brain functional network feature extraction method based on directed transfer function and graph theory for MI-BCI decoding tasks
Pengfei Ma, Chaoyi Dong, Ruijing Lin, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 1
Pengfei Ma, Chaoyi Dong, Ruijing Lin, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 1
Identification of perceived sentences using deep neural networks in EEG
Carlos Hernández García del Valle, Carolina Méndez‐Orellana, Christian Herff, et al.
Journal of Neural Engineering (2024) Vol. 21, Iss. 5, pp. 056044-056044
Closed Access | Times Cited: 1
Carlos Hernández García del Valle, Carolina Méndez‐Orellana, Christian Herff, et al.
Journal of Neural Engineering (2024) Vol. 21, Iss. 5, pp. 056044-056044
Closed Access | Times Cited: 1
Compact convolutional transformer for subject-independent motor imagery EEG-based BCIs
Aigerim Keutayeva, Nail Fakhrutdinov, Berdakh Abibullaev
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Aigerim Keutayeva, Nail Fakhrutdinov, Berdakh Abibullaev
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Adaptive spatiotemporal encoding network for cognitive assessment using resting state EEG
Jingnan Sun, Anruo Shen, Yike Sun, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 1
Jingnan Sun, Anruo Shen, Yike Sun, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 1
Clinical tools to detect Postpartum Depression based on Machine learning and EEG: A Review
Anagha Acharya, Ramya Ramesh, T.H. Hema A. Ayesha Fathima, et al.
(2023), pp. 1-8
Closed Access | Times Cited: 2
Anagha Acharya, Ramya Ramesh, T.H. Hema A. Ayesha Fathima, et al.
(2023), pp. 1-8
Closed Access | Times Cited: 2
A conceptual analysis for the measurement of stress intensity by deep learning using EEG signals
A.Nithya Nikhil, Nitish N Banakar, Pranav Jagadeesh, et al.
2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) (2022), pp. 1-5
Closed Access | Times Cited: 4
A.Nithya Nikhil, Nitish N Banakar, Pranav Jagadeesh, et al.
2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) (2022), pp. 1-5
Closed Access | Times Cited: 4
BCI based Robotic Arm Control using MI-EEG and Spiking Neural Network
J. Joshua Alfred, S Harshavardhan, John Sahaya Rani Alex
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2022), pp. 1-6
Closed Access | Times Cited: 3
J. Joshua Alfred, S Harshavardhan, John Sahaya Rani Alex
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2022), pp. 1-6
Closed Access | Times Cited: 3
A deep neural network and transfer learning combined method for cross-task classification of error-related potentials
Guihong Ren, Akshay Kumar, Seedahmed S. Mahmoud, et al.
Frontiers in Human Neuroscience (2024) Vol. 18
Open Access
Guihong Ren, Akshay Kumar, Seedahmed S. Mahmoud, et al.
Frontiers in Human Neuroscience (2024) Vol. 18
Open Access
Modulation Mode Recognition Method with Multi-feature Fusion under a Complex Noise Floor
Haoran Su, Fan Zhou, Pengfei Lv
(2024), pp. 126-130
Closed Access
Haoran Su, Fan Zhou, Pengfei Lv
(2024), pp. 126-130
Closed Access
Brain Computer Interface for Intelligent Prosthesis
P R Abhijith, Mukund C Menon, Rihaz Zahir, et al.
2021 IEEE 18th India Council International Conference (INDICON) (2022), pp. 1-6
Closed Access | Times Cited: 1
P R Abhijith, Mukund C Menon, Rihaz Zahir, et al.
2021 IEEE 18th India Council International Conference (INDICON) (2022), pp. 1-6
Closed Access | Times Cited: 1
Performance comparison of classical neural network algorithms in emotion recognition
Jiaqi Dong, Kaichen Yu
(2022), pp. 364-368
Closed Access | Times Cited: 1
Jiaqi Dong, Kaichen Yu
(2022), pp. 364-368
Closed Access | Times Cited: 1