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:

A novel multi-branch hybrid neural network for motor imagery EEG signal classification
Weifeng Ma, Haojie Xue, Xiaoyong Sun, et al.
Biomedical Signal Processing and Control (2022) Vol. 77, pp. 103718-103718
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Sample-Based Data Augmentation Based on Electroencephalogram Intrinsic Characteristics
Ruilin Li, Lipo Wang, Ponnuthurai Nagaratnam Suganthan, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 10, pp. 4996-5003
Closed Access | Times Cited: 44

Selective multi–view time–frequency decomposed spatial feature matrix for motor imagery EEG classification
Tian-jian Luo
Expert Systems with Applications (2024) Vol. 247, pp. 123239-123239
Closed Access | Times Cited: 12

Multi-branch spatial-temporal-spectral convolutional neural networks for multi-task motor imagery EEG classification
Zikun Cai, Tian-jian Luo, Xuan Cao
Biomedical Signal Processing and Control (2024) Vol. 93, pp. 106156-106156
Closed Access | Times Cited: 9

Multiscale Convolutional Transformer for EEG Classification of Mental Imagery in Different Modalities
Hyung-Ju Ahn, Dae-Hyeok Lee, Ji-Hoon Jeong, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 31, pp. 646-656
Open Access | Times Cited: 31

Recent Trends in EEG-Based Motor Imagery Signal Analysis and Recognition: A Comprehensive Review
Neha Sharma, Manoj Sharma, Amit Singhal, et al.
IEEE Access (2023) Vol. 11, pp. 80518-80542
Open Access | Times Cited: 14

Application and Development of EEG Acquisition and Feedback Technology: A Review
Yong Qin, Yanpeng Zhang, Zhang Yan, et al.
Biosensors (2023) Vol. 13, Iss. 10, pp. 930-930
Open Access | Times Cited: 14

A robust multi-branch multi-attention-mechanism EEGNet for motor imagery BCI decoding
Haodong Deng, Mengfan Li, Jundi Li, et al.
Journal of Neuroscience Methods (2024) Vol. 405, pp. 110108-110108
Closed Access | Times Cited: 5

A multi-branch, multi-scale, and multi-view CNN with lightweight temporal attention mechanism for EEG-based motor imagery decoding
Lei Zhu, Yunsheng Wang, Aiai Huang, et al.
Computer Methods in Biomechanics & Biomedical Engineering (2025), pp. 1-15
Closed Access

EEG based over-complete rational dilation wavelet transform coupled with autoregressive for motor imagery classification
Hadi Ratham Al Ghayab, Yan Li, Mohammed Diykh, et al.
Expert Systems with Applications (2025), pp. 126433-126433
Open Access

An improved multi-scale convolution and transformer network for EEG-based motor imagery decoding
Lei Zhu, Yunsheng Wang, Aiai Huang, et al.
International Journal of Machine Learning and Cybernetics (2025)
Closed Access

MS-HyFS: A novel multiscale hybrid framework with Scalable electrodes for motor imagery classification
Ziheng Guo, Yuan Feng, Ming Ma, et al.
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107706-107706
Closed Access

CCLNet: multiclass motor imagery EEG decoding through extended common spatial patterns and CNN-LSTM hybrid network
Kamal Jeet Singh, Nitin Singha, Swati Bhalaik
The Journal of Supercomputing (2025) Vol. 81, Iss. 7
Closed Access

Modeling Nonlinear Dynamics in Human–Machine Interaction
Adriano Scibilia, Nicola Pedrocchi, Luigi Fortuna
IEEE Access (2023) Vol. 11, pp. 58664-58678
Open Access | Times Cited: 10

Deep temporal networks for EEG-based motor imagery recognition
Neha Sharma, Avinash Upadhyay, Manoj Kumar Sharma, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 10

Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training
Georgios Zoumpourlis, Ioannis Patras
(2024), pp. 1-8
Open Access | Times Cited: 3

EEG-CDILNet: a lightweight and accurate CNN network using circular dilated convolution for motor imagery classification
Tie Liang, Xionghui Yu, Xiaoguang Liu, et al.
Journal of Neural Engineering (2023) Vol. 20, Iss. 4, pp. 046031-046031
Closed Access | Times Cited: 7

MI-MBFT: Superior Motor Imagery Decoding of Raw EEG Data Based on a Multi-Branch and Fusion Transformer Framework
Jingjing Luo, Qiying Cheng, Hongbo Wang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 21, pp. 34879-34891
Closed Access | Times Cited: 2

Enhancing motor imagery classification: a novel CNN with self-attention using local and global features of filtered EEG data
Arun Reddy, Rajeev Sharma
Connection Science (2024) Vol. 36, Iss. 1
Closed Access | Times Cited: 2

A novel approach for communicating with patients suffering from completely locked-in-syndrome (CLIS) via thoughts: Brain computer interface system using EEG signals and artificial intelligence
Sharmila Majumdar, Amin Al‐Habaibeh, Ahmet Omurtag, et al.
Neuroscience Informatics (2023) Vol. 3, Iss. 2, pp. 100126-100126
Open Access | Times Cited: 6

An Intelligent Motor Imagery Detection System Using Electroencephalography with Adaptive Wavelets
Smith K. Khare, Nikhil Gaikwad, Neeraj Dhanraj Bokde
Sensors (2022) Vol. 22, Iss. 21, pp. 8128-8128
Open Access | Times Cited: 9

Attention-Based Multiscale Spatial-Temporal Convolutional Network for Motor Imagery EEG Decoding
Yu Zhang, Penghai Li, Longlong Cheng, et al.
IEEE Transactions on Consumer Electronics (2023) Vol. 70, Iss. 1, pp. 2423-2434
Closed Access | Times Cited: 5

Cloud-Based Human Emotion Classification Model from EEG Signals
Suhaima Jamal, Meenalosini Vimal Cruz, Jongyeop Kim
2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) (2023), pp. 0057-0064
Closed Access | Times Cited: 4

A novel multi-scale fusion convolutional neural network for EEG-based motor imagery classification
Guangyu Yang, Jinguo Liu
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106645-106645
Closed Access | Times Cited: 1

A parallel-hierarchical neural network (PHNN) for motor imagery EEG signal classification
K. Lu, Hao Guo, Zhihao Gu, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105621-105621
Closed Access | Times Cited: 3

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