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:

IFNet: An Interactive Frequency Convolutional Neural Network for Enhancing Motor Imagery Decoding From EEG
Jiaheng Wang, Lin Yao, Yueming Wang
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 1900-1911
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

ADFCNN: Attention-Based Dual-Scale Fusion Convolutional Neural Network for Motor Imagery Brain–Computer Interface
Tao Wei, Ze Wang, Chi Man Wong, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 32, pp. 154-165
Open Access | Times Cited: 19

A novel deep transfer learning framework integrating general and domain-specific features for EEG-based brain–computer interface
Zilin Liang, Zheng Zheng, Weihai Chen, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106311-106311
Closed Access | Times Cited: 7

Multiclass motor imagery classification with Riemannian geometry and temporal-spectral selection
Zhaohui Li, Xiaohui Tan, Xinyu Li, et al.
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 10, pp. 2961-2973
Closed Access | Times Cited: 5

Data Constraints and Performance Optimization for Transformer-Based Models in EEG-Based Brain-Computer Interfaces: A Survey
Aigerim Keutayeva, Berdakh Abibullaev
IEEE Access (2024) Vol. 12, pp. 62628-62647
Open Access | Times Cited: 4

Stepwise discriminant analysis based optimal frequency band selection and ensemble learning for same limb MI recognition
Yinghui Meng, Nuo Zhu, Duan Li, et al.
Cluster Computing (2025) Vol. 28, Iss. 3
Closed Access

MI‐Mamba: A hybrid motor imagery electroencephalograph classification model with Mamba's global scanning
Meng Guo, Xu Han, Hongxing Liu, et al.
Annals of the New York Academy of Sciences (2025)
Closed Access

A composite improved attention convolutional network for motor imagery EEG classification
Wenzhe Liao, Z.Q. Miao, Shengbin Liang, et al.
Frontiers in Neuroscience (2025) Vol. 19
Open Access

Mitigating Catastrophic Forgetting in Pedaling Motor Imagery Decodification Using Continuous Progressive Neural Network
Javier V. Juan, Rubén Martínez, Eduardo Iáñez, et al.
Biosystems & biorobotics (2025), pp. 89-93
Closed Access

LGL-BCI: A Motor-Imagery-Based Brain-Computer Interface with Geometric Learning
Jianchao Lu, Yuzhe Tian, Yang Zhang, et al.
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2025) Vol. 9, Iss. 1, pp. 1-28
Open Access

Joint spatial feature adaption and confident pseudo-label selection for cross-subject motor imagery EEG signals classification
Siqi Yang, Zhihua Huang, Tian-jian Luo
Expert Systems with Applications (2025), pp. 127312-127312
Closed Access

Advances in brain computer interface for amyotrophic lateral sclerosis communication
Yuchun Wang, Yuee Tang, Qianfeng Wang, et al.
Brain‐X (2025) Vol. 3, Iss. 1
Open Access

Enhancing Robustness of Spatial Filters in Motor Imagery based Brain-Computer Interface via Temporal Learning
Wei Liang, Ren Xu, Xingyu Wang, et al.
Journal of Neuroscience Methods (2025), pp. 110441-110441
Closed Access

Manifold embedded instance selection to suppress negative transfer in motor imagery-based brain–computer interface
Zilin Liang, Zheng Zheng, Weihai Chen, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105556-105556
Closed Access | Times Cited: 10

Exploring EEG-based motor imagery decoding: a dual approach using spatial features and spectro-spatial Deep Learning model IFNet
Javier V. Juan, Rubén Martínez, Eduardo Iáñez, et al.
Frontiers in Neuroinformatics (2024) Vol. 18
Open Access | Times Cited: 3

MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding
Ke Liu, Tao Yang, Zhuliang Yu, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 12, pp. 7126-7137
Closed Access | Times Cited: 3

Adaptive filter of frequency bands based coordinate attention network for EEG-based motor imagery classification
Xiaoli Zhang, Yongxionga Wang, Yiheng Tang, et al.
Health Information Science and Systems (2024) Vol. 12, Iss. 1
Closed Access | Times Cited: 2

Cross-Subject Motor Imagery Decoding by Transfer Learning of Tactile ERD
Yucun Zhong, Lin Yao, Gang Pan, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 662-671
Open Access | Times Cited: 2

Multi-Scale Self-Attention Approach for Analysing Motor Imagery Signals in Brain-Computer Interfaces
Mohammed Wasim Bhatt, Sparsh Sharma
Journal of Neuroscience Methods (2024) Vol. 408, pp. 110182-110182
Closed Access | Times Cited: 2

Diffusion models-based motor imagery EEG sample augmentation via mixup strategy
Tian-jian Luo, Zikun Cai
Expert Systems with Applications (2024) Vol. 262, pp. 125585-125585
Closed Access | Times Cited: 2

Explainable cross-task adaptive transfer learning for motor imagery EEG classification
Minmin Miao, Yang Zhong, Hong Zeng, et al.
Journal of Neural Engineering (2023) Vol. 20, Iss. 6, pp. 066021-066021
Closed Access | Times Cited: 6

Multi-source deep domain adaptation ensemble framework for cross-dataset motor imagery EEG transfer learning
Minmin Miao, Zhongliang Yang, Zhenzhen Sheng, et al.
Physiological Measurement (2024) Vol. 45, Iss. 5, pp. 055024-055024
Closed Access | Times Cited: 1

Dual-Branch Convolution Network With Efficient Channel Attention for EEG-Based Motor Imagery Classification
Kai Zhou, Aierken Haimudula, Wanying Tang
IEEE Access (2024) Vol. 12, pp. 74930-74943
Open Access | Times Cited: 1

STaRNet: A spatio-temporal and Riemannian network for high-performance motor imagery decoding
Xingfu Wang, Wenjie Yang, Wenxia Qi, et al.
Neural Networks (2024) Vol. 178, pp. 106471-106471
Closed Access | Times Cited: 1

Decoding motor imagery based on dipole feature imaging and a hybrid CNN with embedded squeeze-and-excitation block
Linlin Wang, Mingai Li
Journal of Applied Biomedicine (2023) Vol. 43, Iss. 4, pp. 751-762
Closed Access | Times Cited: 2

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