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:

DWT and CNN based multi-class motor imagery electroencephalographic signal recognition
Xunguang Ma, Dashuai Wang, Danhua Liu, et al.
Journal of Neural Engineering (2020) Vol. 17, Iss. 1, pp. 016073-016073
Closed Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

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: 321

A 2D CNN-LSTM hybrid algorithm using time series segments of EEG data for motor imagery classification
Jialing Wang, Shiwei Cheng, Jieming Tian, et al.
Biomedical Signal Processing and Control (2023) Vol. 83, pp. 104627-104627
Closed Access | Times Cited: 44

Review of brain encoding and decoding mechanisms for EEG-based brain–computer interface
Lichao Xu, Minpeng Xu, Tzyy‐Ping Jung, et al.
Cognitive Neurodynamics (2021) Vol. 15, Iss. 4, pp. 569-584
Open Access | Times Cited: 65

Source Aware Deep Learning Framework for Hand Kinematic Reconstruction Using EEG Signal
Sidharth Pancholi, Amita Giri, Anant Jain, et al.
IEEE Transactions on Cybernetics (2022) Vol. 53, Iss. 7, pp. 4094-4106
Open Access | Times Cited: 45

Motor imagery EEG classification based on flexible analytic wavelet transform
Yang You, Wanzhong Chen, Tao Zhang
Biomedical Signal Processing and Control (2020) Vol. 62, pp. 102069-102069
Closed Access | Times Cited: 62

Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification
Xiuling Liu, Linyang Lv, Yonglong Shen, et al.
Journal of Neural Engineering (2021) Vol. 18, Iss. 2, pp. 026003-026003
Closed Access | Times Cited: 41

Unsupervised feature extraction with autoencoders for EEG based multiclass motor imagery BCI
Souvik Phadikar, Nidul Sinha, Rajdeep Ghosh
Expert Systems with Applications (2022) Vol. 213, pp. 118901-118901
Open Access | Times Cited: 35

Enhanced grasshopper optimization algorithm with extreme learning machines for motor‐imagery classification
Kavitha Rani Balmuri, Srinivasa Rao Madala, B D Parameshachari, et al.
Asian Journal of Control (2022) Vol. 25, Iss. 4, pp. 3015-3028
Closed Access | Times Cited: 33

Machine learning techniques for electroencephalogram based brain-computer interface: A systematic literature review
Pawan Pawan, Rohtash Dhiman
Measurement Sensors (2023) Vol. 28, pp. 100823-100823
Open Access | Times Cited: 20

Classification of Motor Imagery EEG Signals Based on Data Augmentation and Convolutional Neural Networks
Yu Xie, Stefan Oniga
Sensors (2023) Vol. 23, Iss. 4, pp. 1932-1932
Open Access | Times Cited: 18

A Local-Ascending-Global Learning Strategy for Brain-Computer Interface
Dongrui Gao, Haokai Zhang, Pengrui Li, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 9, pp. 10039-10047
Open Access | Times Cited: 7

CNN based classification of motor imaginary using variational mode decomposed EEG-spectrum image
K. Keerthi Krishnan, K. P. Soman
Biomedical Engineering Letters (2021) Vol. 11, Iss. 3, pp. 235-247
Open Access | Times Cited: 39

Deep learning in motor imagery EEG signal decoding: A Systematic Review
Aurora Saibene, Hafez Ghaemi, Eda Dağdevır
Neurocomputing (2024) Vol. 610, pp. 128577-128577
Closed Access | Times Cited: 4

A triple-shallow CNN with genetic algorithm channel selection method for classifying EEG complex limb movements
Beenish Khalid, Ali Hassan, Muhammad Yasin, et al.
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107541-107541
Closed Access

Harnessing the synergy of statistics and deep learning for BCI competition 4 dataset 4: a novel approach
Gauttam Jangir, Nisheeth Joshi, Gaurav Purohit
Brain Informatics (2025) Vol. 12, Iss. 1
Open Access

Energy based denoising convolutional neural network for image enhancement
V. Karthikeyan, R. Elangovan, D. Pradeep
The Imaging Science Journal (2023) Vol. 72, Iss. 1, pp. 105-120
Closed Access | Times Cited: 9

Multi-class motor imagery EEG classification method with high accuracy and low individual differences based on hybrid neural network
Jinzhen Liu, Fangfang Ye, Hui Xiong
Journal of Neural Engineering (2021) Vol. 18, Iss. 4, pp. 0460f1-0460f1
Closed Access | Times Cited: 23

Enhancing transfer performance across datasets for brain-computer interfaces using a combination of alignment strategies and adaptive batch normalization
Lichao Xu, Minpeng Xu, Zhen Ma, et al.
Journal of Neural Engineering (2021) Vol. 18, Iss. 4, pp. 0460e5-0460e5
Closed Access | Times Cited: 21

A comprehensive review of the movement imaginary brain-computer interface methods: Challenges and future directions
Sadaf Khademi, Mehrnoosh Neghabi, Morteza Farahi, et al.
Elsevier eBooks (2022), pp. 23-74
Closed Access | Times Cited: 10

3D Convolution neural network with multiscale spatial and temporal cues for motor imagery EEG classification
Xiuling Liu, Kaidong Wang, Fengshuang Liu, et al.
Cognitive Neurodynamics (2022) Vol. 17, Iss. 5, pp. 1357-1380
Open Access | Times Cited: 9

Motor imagery classification using sparse nonnegative matrix factorization and convolutional neural networks
Poonam Chaudhary, Yash Vardhan Varshney, Gautam Srivastava, et al.
Neural Computing and Applications (2022) Vol. 36, Iss. 1, pp. 213-223
Closed Access | Times Cited: 8

DENOISING CONVOLUTIONAL NEURAL NETWORK WITH ENERGY-BASED ATTENTION FOR IMAGE ENHANCEMENT
V. Karthikeyan, R. Elangovan, K. Gurumoorthy
Journal of Applied Analysis & Computation (2024) Vol. 14, Iss. 4, pp. 1893-1914
Open Access | Times Cited: 1

Modeling Source and System Features Through Multi-channel Convolutional Neural Network for Improving Intelligibility Assessment of Dysarthric Speech
Md. Talib Ahmad, Gayadhar Pradhan, Jyoti Singh
Circuits Systems and Signal Processing (2024) Vol. 43, Iss. 10, pp. 6332-6350
Closed Access | Times Cited: 1

Compact convolutional transformer for subject-independent motor imagery EEG-based BCIs
Aigerim Keutayeva, Nail Fakhrutdinov, Berdakh Abibullaev
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1

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