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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:

EEGANet: Removal of Ocular Artifacts From the EEG Signal Using Generative Adversarial Networks
Phattarapong Sawangjai, Manatsanan Trakulruangroj, Chiraphat Boonnag, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 10, pp. 4913-4924
Closed Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

Automatic Eyeblink and Muscular Artifact Detection and Removal From EEG Signals Using k-Nearest Neighbor Classifier and Long Short-Term Memory Networks
Rajdeep Ghosh, Souvik Phadikar, Nabamita Deb, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 5, pp. 5422-5436
Closed Access | Times Cited: 52
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: 41
DHCT-GAN: Improving EEG Signal Quality with a Dual-Branch Hybrid CNN–Transformer Network
Yi Cai, Meng Zhao, Dian Huang
Sensors (2025) Vol. 25, Iss. 1, pp. 231-231
Open Access | Times Cited: 2
Identification of autism spectrum disorder based on electroencephalography: A systematic review
Jing Li, Xiangjin Kong, Linlin Sun, et al.
Computers in Biology and Medicine (2024) Vol. 170, pp. 108075-108075
Closed Access | Times Cited: 14
Embedding decomposition for artifacts removal in EEG signals
Junjie Yu, Chenyi Li, Kexin Lou, et al.
Journal of Neural Engineering (2022) Vol. 19, Iss. 2, pp. 026052-026052
Open Access | Times Cited: 29
An End-to-End Deep Learning Framework for Real-Time Denoising of Heart Sounds for Cardiac Disease Detection in Unseen Noise
Shams Nafisa Ali, Samiul Based Shuvo, Muhammad Ishtiaque Sayeed Al-Manzo, et al.
IEEE Access (2023) Vol. 11, pp. 87887-87901
Open Access | Times Cited: 18
Artifacts removal techniques in EEG data for BCI applications: A survey
Srinath Akuthota, Krishan Kumar, Ravichander Janapati
Elsevier eBooks (2024), pp. 195-214
Closed Access | Times Cited: 5
A hybrid network based on multi-scale convolutional neural network and bidirectional gated recurrent unit for EEG denoising
Qiang Li, Yan Zhou, Junxiao Ren, et al.
Neuroscience (2025)
Closed Access
MultiResUNet3+: A Full-Scale Connected Multi-Residual UNet Model to Denoise Electrooculogram and Electromyogram Artifacts from Corrupted Electroencephalogram Signals
Md Shafayet Hossain, Sakib Mahmud, Amith Khandakar, et al.
Bioengineering (2023) Vol. 10, Iss. 5, pp. 579-579
Open Access | Times Cited: 14
A Segmentation-Denoising Network for Artifact Removal From Single-Channel EEG
Y.Z. Li, Aiping Liu, Yin Jin, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 13, pp. 15115-15127
Closed Access | Times Cited: 13
Estimating finger joint angles by surface EMG signal using feature extraction and transformer-based deep learning model
Nur Achmad Sulistyo Putro, Cries Avian, Setya Widyawan Prakosa, et al.
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105447-105447
Closed Access | Times Cited: 13
DTP-Net: Learning to Reconstruct EEG Signals in Time-Frequency Domain by Multi-Scale Feature Reuse
Yan Pei, Jiahui Xu, Qianhao Chen, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 5, pp. 2662-2673
Open Access | Times Cited: 4
Psbd-EWT-EGAN: Heart sound denoising using PSBD-EWT and enhancement generative adversarial network
Jianqiang Hu, Chen Lin, Miao Yang, et al.
Computer Science and Information Systems (2025) Vol. 22, Iss. 1, pp. 239-257
Open Access
FLANet: A multiscale temporal convolution and spatial-spectral attention network for EEG artifact removal with adversarial training
Junkongshuai Wang, Yangjie Luo, Haoran Wang, et al.
Journal of Neural Engineering (2025) Vol. 22, Iss. 1, pp. 016021-016021
Closed Access
Augmenting Brain-Computer Interfaces with ART: An Artifact Removal Transformer for Reconstructing Multichannel EEG Signals
Chun‐Hsiang Chuang, Kong-Yi Chang, Chih-Sheng Huang, et al.
NeuroImage (2025), pp. 121123-121123
Open Access
$$A^{2}$$DM: Enhancing EEG Artifact Removal by Fusing Artifact Representation into the Time-Frequency Domain
Haoran Li, Fan Feng, Jiarong Kang, et al.
Cognitive Computation (2025) Vol. 17, Iss. 2
Open Access
Recent applications of EEG-based brain-computer-interface in the medical field
Xiuyun Liu, Wenlong Wang, Miao Liu, et al.
Military Medical Research (2025) Vol. 12, Iss. 1
Open Access
MLMRS-Net: Electroencephalography (EEG) motion artifacts removal using a multi-layer multi-resolution spatially pooled 1D signal reconstruction network
Sakib Mahmud, Md Shafayet Hossain, Muhammad E. H. Chowdhury, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 11, pp. 8371-8388
Open Access | Times Cited: 19
EEG Reconstruction With a Dual-Scale CNN-LSTM Model for Deep Artifact Removal
Tengfei Gao, Dan Chen, Yunbo Tang, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 27, Iss. 3, pp. 1283-1294
Closed Access | Times Cited: 19
Beyond Supervised Learning for Pervasive Healthcare
Xiao Gu, Fani Deligianni, Jinpei Han, et al.
IEEE Reviews in Biomedical Engineering (2023) Vol. 17, pp. 42-62
Open Access | Times Cited: 12
Semi-Supervised Disease Classification Based on Limited Medical Image Data
Yan Zhang, Chun Li, Zhaoxia Liu, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 3, pp. 1575-1586
Open Access | Times Cited: 2
Optimizing EEG Signal Integrity: A Comprehensive Guide to Ocular Artifact Correction
Vincenzo Ronca, Rossella Capotorto, Gianluca Di Flumeri, et al.
Bioengineering (2024) Vol. 11, Iss. 10, pp. 1018-1018
Open Access | Times Cited: 2
Automated Ocular Artifacts Removal Framework Based on Adaptive Chirp Mode Decomposition
Shivam Sharma, Udit Satija
IEEE Sensors Journal (2022) Vol. 22, Iss. 6, pp. 5806-5814
Closed Access | Times Cited: 11
A Dual-Branch Interactive Fusion Network to Remove Artifacts From Single-Channel EEG
Heng Cui, Chang Li, Aiping Liu, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 73, pp. 1-12
Closed Access | Times Cited: 5
Swarm Intelligence-Based Improved Adaptive Chirp Mode Decomposition Algorithm for Suppression of Ocular Artifacts from EEG Signal
B. V. N. Silpa, Malaya Kumar Hota
IEEE Sensors Journal (2024) Vol. 24, Iss. 6, pp. 8314-8325
Closed Access | Times Cited: 1
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