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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:

Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: a review
Hamdi Altaheri, Ghulam Muhammad, Mansour Alsulaiman, et al.
Neural Computing and Applications (2021) Vol. 35, Iss. 20, pp. 14681-14722
Closed Access | Times Cited: 324

Showing 1-25 of 324 citing articles:

Physics-Informed Attention Temporal Convolutional Network for EEG-Based Motor Imagery Classification
Hamdi Altaheri, Ghulam Muhammad, Mansour Alsulaiman
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 2, pp. 2249-2258
Closed Access | Times Cited: 185
Towards a blockchain-SDN-based secure architecture for cloud computing in smart industrial IoT
Anichur Rahman, Md. Jahidul Islam, Shahab S. Band, et al.
Digital Communications and Networks (2022) Vol. 9, Iss. 2, pp. 411-421
Open Access | Times Cited: 88
Tuberculosis detection in chest radiograph using convolutional neural network architecture and explainable artificial intelligence
Saad I. Nafisah, Ghulam Muhammad
Neural Computing and Applications (2022) Vol. 36, Iss. 1, pp. 111-131
Open Access | Times Cited: 84
A Multi-Branch Convolutional Neural Network with Squeeze-and-Excitation Attention Blocks for EEG-Based Motor Imagery Signals Classification
Ghadir Ali Altuwaijri, Ghulam Muhammad, Hamdi Altaheri, et al.
Diagnostics (2022) Vol. 12, Iss. 4, pp. 995-995
Open Access | Times Cited: 75
A Model Combining Multi Branch Spectral-Temporal CNN, Efficient Channel Attention, and LightGBM for MI-BCI Classification
Hai Jia, Shiqi Yu, Shunjie Yin, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 1311-1320
Open Access | Times Cited: 44
Machine learning and deep learning-based approach in smart healthcare: Recent advances, applications, challenges and opportunities
Anichur Rahman, Tanoy Debnath, Dipanjali Kundu, et al.
AIMS Public Health (2024) Vol. 11, Iss. 1, pp. 58-109
Open Access | Times Cited: 38
Attention-Inception and Long- Short-Term Memory-Based Electroencephalography Classification for Motor Imagery Tasks in Rehabilitation
Syed Umar Amin, Hamdi Altaheri, Ghulam Muhammad, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 8, pp. 5412-5421
Closed Access | Times Cited: 84
A Multibranch of Convolutional Neural Network Models for Electroencephalogram-Based Motor Imagery Classification
Ghadir Ali Altuwaijri, Ghulam Muhammad
Biosensors (2022) Vol. 12, Iss. 1, pp. 22-22
Open Access | Times Cited: 47
A Novel QKD Approach to Enhance IIOT Privacy and Computational Knacks
Kranthi Kumar Singamaneni, Gaurav Dhiman, Sapna Juneja, et al.
Sensors (2022) Vol. 22, Iss. 18, pp. 6741-6741
Open Access | Times Cited: 41
Robust Classification and Detection of Big Medical Data Using Advanced Parallel K-Means Clustering, YOLOv4, and Logistic Regression
Fouad H. Awad, Murtadha M. Hamad, Laith Alzubaidi
Life (2023) Vol. 13, Iss. 3, pp. 691-691
Open Access | Times Cited: 36
Dynamic Convolution With Multilevel Attention for EEG-Based Motor Imagery Decoding
Hamdi Altaheri, Ghulam Muhammad, Mansour Alsulaiman
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 21, pp. 18579-18588
Closed Access | Times Cited: 29
Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX
Xia Chen, Xiangbin Teng, Han Chen, et al.
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105475-105475
Open Access | Times Cited: 29
Deep Learning in EEG-Based BCIs: A Comprehensive Review of Transformer Models, Advantages, Challenges, and Applications
Berdakh Abibullaev, Aigerim Keutayeva, Amin Zollanvari
IEEE Access (2023) Vol. 11, pp. 127271-127301
Open Access | Times Cited: 29
Statistically significant features improve binary and multiple Motor Imagery task predictions from EEGs
Mürşide Değirmenci, Yılmaz Kemal Yüce, Matjaž Perc, et al.
Frontiers in Human Neuroscience (2023) Vol. 17
Open Access | Times Cited: 23
Classification Algorithm for Electroencephalogram-based Motor Imagery Using Hybrid Neural Network with Spatio-temporal Convolution and Multi-head Attention Mechanism
Xingbin Shi, Baojiang Li, Wenlong Wang, et al.
Neuroscience (2023) Vol. 527, pp. 64-73
Closed Access | Times Cited: 23
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
Exploring the frontier: Transformer-based models in EEG signal analysis for brain-computer interfaces
Maximilian Achim Pfeffer, Sai Ho Ling, Johnny Kwok Wai Wong
Computers in Biology and Medicine (2024) Vol. 178, pp. 108705-108705
Open Access | Times Cited: 10
Multiclass classification of motor imagery tasks based on multi-branch convolutional neural network and temporal convolutional network model
Shiqi Yu, Zedong Wang, Fei Wang, et al.
Cerebral Cortex (2024) Vol. 34, Iss. 2
Closed Access | Times Cited: 9
NF-EEG: A generalized CNN model for multi class EEG motor imagery classification without signal preprocessing for brain computer interfaces
Emre Arı, Ertuğrul Taçgın
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 106081-106081
Closed Access | Times Cited: 9
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
IFBCLNet: Spatio-temporal frequency feature extraction-based MI-EEG classification convolutional network
Jianshuai Cao, Guanghui Li, Jiahua Shen, et al.
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 106092-106092
Closed Access | Times Cited: 8
Physics-informed neural network simulation of two-phase flow in heterogeneous and fractured porous media
Xia Yan, Jingqi Lin, Sheng Wang, et al.
Advances in Water Resources (2024) Vol. 189, pp. 104731-104731
Closed Access | Times Cited: 8
A Comprehensive Review on Brain–Computer Interface (BCI)-Based Machine and Deep Learning Algorithms for Stroke Rehabilitation
Walaa H. Elashmawi, A Aly Ayman, Mina Antoun, et al.
Applied Sciences (2024) Vol. 14, Iss. 14, pp. 6347-6347
Open Access | Times Cited: 8
CTNet: a convolutional transformer network for EEG-based motor imagery classification
Wei Zhao, Xiaolu Jiang, Baocan Zhang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 8
Physics-informed radial basis function neural network for efficiently modeling oil–water two-phase Darcy flow
Shuaijun Lv, Daolun Li, Wenshu Zha, et al.
Physics of Fluids (2025) Vol. 37, Iss. 1
Closed Access | Times Cited: 1
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