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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:

Open Access Dataset for EEG+NIRS Single-Trial Classification
Jaeyoung Shin, Alexander von Lühmann, Benjamin Blankertz, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2016) Vol. 25, Iss. 10, pp. 1735-1745
Closed Access | Times Cited: 202

Showing 1-25 of 202 citing articles:

Deep learning for hybrid EEG-fNIRS brain–computer interface: application to motor imagery classification
Antonio Maria Chiarelli, Pierpaolo Croce, Arcangelo Merla, et al.
Journal of Neural Engineering (2018) Vol. 15, Iss. 3, pp. 036028-036028
Closed Access | Times Cited: 172
Simultaneous acquisition of EEG and NIRS during cognitive tasks for an open access dataset
Jaeyoung Shin, Alexander von Lühmann, Do-Won Kim, et al.
Scientific Data (2018) Vol. 5, Iss. 1
Open Access | Times Cited: 163
STEW: Simultaneous Task EEG Workload Data Set
Wei Lun Lim, Olga Sourina, Lipo Wang
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2018) Vol. 26, Iss. 11, pp. 2106-2114
Closed Access | Times Cited: 139
MOABB: trustworthy algorithm benchmarking for BCIs
Vinay Jayaram, Alexandre Barachant
Journal of Neural Engineering (2018) Vol. 15, Iss. 6, pp. 066011-066011
Open Access | Times Cited: 139
Parallel Transport on the Cone Manifold of SPD Matrices for Domain Adaptation
Or Yair, Mirela Ben‐Chen, Ronen Talmon
IEEE Transactions on Signal Processing (2019) Vol. 67, Iss. 7, pp. 1797-1811
Open Access | Times Cited: 101
The KIMORE Dataset: KInematic Assessment of MOvement and Clinical Scores for Remote Monitoring of Physical REhabilitation
Marianna Capecci, Maria Gabriella Ceravolo, Francesco Ferracuti, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2019) Vol. 27, Iss. 7, pp. 1436-1448
Closed Access | Times Cited: 95
A Ternary Hybrid EEG-NIRS Brain-Computer Interface for the Classification of Brain Activation Patterns during Mental Arithmetic, Motor Imagery, and Idle State
Jaeyoung Shin, Jinuk Kwon, Chang‐Hwan Im
Frontiers in Neuroinformatics (2018) Vol. 12
Open Access | Times Cited: 85
FGANet: fNIRS-Guided Attention Network for Hybrid EEG-fNIRS Brain-Computer Interfaces
Youngchul Kwak, Woo‐Jin Song, Seong‐Eun Kim
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 329-339
Open Access | Times Cited: 55
Transformer Model for Functional Near-Infrared Spectroscopy Classification
Zenghui Wang, Jun Zhang, Xiaochu Zhang, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 6, pp. 2559-2569
Closed Access | Times Cited: 49
Early-stage fusion of EEG and fNIRS improves classification of motor imagery
Yang Li, Xin Zhang, Dong Ming
Frontiers in Neuroscience (2023) Vol. 16
Open Access | Times Cited: 22
EF-Net: Mental State Recognition by Analyzing Multimodal EEG-fNIRS via CNN
Aniqa Arif, Yihe Wang, Rui Yin, et al.
Sensors (2024) Vol. 24, Iss. 6, pp. 1889-1889
Open Access | Times Cited: 10
Improved dilation CapsuleNet for motor imagery and mental arithmetic classification based on fNIRS
Yu Li, Tao Xu, Junhua Li, et al.
Brain-Apparatus Communication A Journal of Bacomics (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 10
An EEG motor imagery dataset for brain computer interface in acute stroke patients
Haijie Liu, Penghu Wei, Haochong Wang, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 8
Hybrid EEG-fNIRS decoding with dynamic graph convolutional-capsule networks for motor imagery/execution
Hongtao Wang, Zhiwen Yuan, Haiyan Zhang, et al.
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107570-107570
Closed Access | Times Cited: 1
Multimodal Multitask Neural Network for Motor Imagery Classification With EEG and fNIRS Signals
Qun He, Lufeng Feng, Guoqian Jiang, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 21, pp. 20695-20706
Closed Access | Times Cited: 34
Hybrid EEG-fNIRS Brain Computer Interface Based on Common Spatial Pattern by Using EEG-Informed General Linear Model
Yunyuan Gao, Biao Jia, Michael Houston, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-10
Closed Access | Times Cited: 21
fNIRS-EEG BCIs for Motor Rehabilitation: A Review
Jianan Chen, Yunjia Xia, Xinkai Zhou, et al.
Bioengineering (2023) Vol. 10, Iss. 12, pp. 1393-1393
Open Access | Times Cited: 20
A Hybrid GCN and Filter-Based Framework for Channel and Feature Selection: An fNIRS-BCI Study
Amad Zafar, Karam Dad Kallu, M. Atif Yaqub, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-14
Open Access | Times Cited: 16
Aggregating intrinsic information to enhance BCI performance through federated learning
Rui Liu, Yuanyuan Chen, Anran Li, et al.
Neural Networks (2024) Vol. 172, pp. 106100-106100
Open Access | Times Cited: 7
Performance enhancement of a brain-computer interface using high-density multi-distance NIRS
Jaeyoung Shin, Jinuk Kwon, JongKwan Choi, et al.
Scientific Reports (2017) Vol. 7, Iss. 1
Open Access | Times Cited: 56
A new blind source separation framework for signal analysis and artifact rejection in functional Near-Infrared Spectroscopy
Alexander von Lühmann, Zois Boukouvalas, Klaus‐Robert Müller, et al.
NeuroImage (2019) Vol. 200, pp. 72-88
Open Access | Times Cited: 52
Open-Access fNIRS Dataset for Classification of Unilateral Finger- and Foot-Tapping
SuJin Bak, Jinwoo Park, Jaeyoung Shin, et al.
Electronics (2019) Vol. 8, Iss. 12, pp. 1486-1486
Open Access | Times Cited: 48
Assessing Time-Resolved fNIRS for Brain-Computer Interface Applications of Mental Communication
Androu Abdalmalak, Daniel Milej, Lawrence C. M. Yip, et al.
Frontiers in Neuroscience (2020) Vol. 14
Open Access | Times Cited: 45
Toward a compact hybrid brain-computer interface (BCI): Performance evaluation of multi-class hybrid EEG-fNIRS BCIs with limited number of channels
Jinuk Kwon, Jaeyoung Shin, Chang‐Hwan Im
PLoS ONE (2020) Vol. 15, Iss. 3, pp. e0230491-e0230491
Open Access | Times Cited: 44
A Novel Multimodal Approach for Hybrid Brain–Computer Interface
Zhe Sun, Zihao Huang, Feng Duan, et al.
IEEE Access (2020) Vol. 8, pp. 89909-89918
Open Access | Times Cited: 44
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