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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:

MIDNN- a classification approach for the EEG based motor imagery tasks using deep neural network
Smita Tiwari, Shivani Goel, Arpit Bhardwaj
Applied Intelligence (2021) Vol. 52, Iss. 5, pp. 4824-4843
Closed Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Status of deep learning for EEG-based brain–computer interface applications
Khondoker Murad Hossain, Md. Ariful Islam, Shahera Hossain, et al.
Frontiers in Computational Neuroscience (2023) Vol. 16
Open Access | Times Cited: 47
A CNN-LSTM hybrid network for automatic seizure detection in EEG signals
Shalini Shanmugam, D. Selvathi
Neural Computing and Applications (2023) Vol. 35, Iss. 28, pp. 20605-20617
Closed Access | Times Cited: 28
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
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
MI-DABAN: A dual-attention-based adversarial network for motor imagery classification
Huiying Li, Dongxue Zhang, Jingmeng Xie
Computers in Biology and Medicine (2022) Vol. 152, pp. 106420-106420
Closed Access | Times Cited: 31
A deep domain adaptation framework with correlation alignment for EEG-based motor imagery classification
Xiao-Cong Zhong, Qisong Wang, Dan Liu, et al.
Computers in Biology and Medicine (2023) Vol. 163, pp. 107235-107235
Open Access | Times Cited: 14
EEG-based motor imagery channel selection and classification using hybrid optimization and two-tier deep learning
Annu Kumari, Damodar Reddy Edla, R Ravinder Reddy, et al.
Journal of Neuroscience Methods (2024) Vol. 409, pp. 110215-110215
Closed Access | Times Cited: 5
Feature Selection Using Extreme Gradient Boosting Bayesian Optimization to upgrade the Classification Performance of Motor Imagery signals for BCI
T. Thenmozhi, R. Helen
Journal of Neuroscience Methods (2021) Vol. 366, pp. 109425-109425
Closed Access | Times Cited: 31
Brain–Computer Interface Based on Steady-State Visual Evoked Potential Using Quick-Response Code Pattern for Wheelchair Control
Nannaphat Siribunyaphat, Yunyong Punsawad
Sensors (2023) Vol. 23, Iss. 4, pp. 2069-2069
Open Access | Times Cited: 12
Lightweight deep neural network from scratch
Hengyi Li, Xuebin Yue, Chengyan Zhao, et al.
Applied Intelligence (2023) Vol. 53, Iss. 15, pp. 18868-18886
Closed Access | Times Cited: 12
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
Classification of motor imagery tasks in brain–computer interface using ensemble learning
Abdülhamit Subaşı, Saeed Mian Qaisar
Elsevier eBooks (2025), pp. 99-120
Closed Access
Classification Analysis of Motor Imagery EEG Signals Using Bidirectional LSTM Model
R. Helen, T. Thenmozhi, S. Mythili, et al.
Lecture notes in electrical engineering (2025), pp. 159-173
Closed Access
A Safe and Efficient Brain–Computer Interface Using Moving Object Trajectories and LED-Controlled Activation
Sefa Aydin, Mesut Melek, Levent GÖKREM
Micromachines (2025) Vol. 16, Iss. 3, pp. 340-340
Open Access
A dual alignment-based multi-source domain adaptation framework for motor imagery EEG classification
Dongqin Xu, Mingai Li
Applied Intelligence (2022) Vol. 53, Iss. 9, pp. 10766-10788
Open Access | Times Cited: 17
Classification of imagined speech of vowels from EEG signals using multi-headed CNNs feature fusion network
Smita Tiwari, Shivani Goel, Arpit Bhardwaj
Digital Signal Processing (2024) Vol. 148, pp. 104447-104447
Closed Access | Times Cited: 3
The Ensemble Machine Learning-Based Classification of Motor Imagery Tasks in Brain-Computer Interface
Abdülhamit Subaşı, Saeed Mian Qaisar
Journal of Healthcare Engineering (2021) Vol. 2021, pp. 1-12
Open Access | Times Cited: 23
Detection of Adulteration in Food Using Recurrent Neural Network with Internet of Things
Vishwesh Nagamalla, B. Muthu Kumar, Neha Janu, et al.
Journal of Food Quality (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 15
An Efficient Hybrid Model for Patient-Independent Seizure Prediction Using Deep Learning
Rowan Ihab Halawa, Sherin M. Youssef, Mazen Nabil Elagamy
Applied Sciences (2022) Vol. 12, Iss. 11, pp. 5516-5516
Open Access | Times Cited: 14
EEG-Based Motor Imagery Recognition Framework via Multisubject Dynamic Transfer and Iterative Self-Training
He Wang, Peiyin Chen, Meng Zhang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 8, pp. 10698-10712
Closed Access | Times Cited: 8
EEGProgress: A fast and lightweight progressive convolution architecture for EEG classification
Zhige Chen, Rui Yang, Mengjie Huang, et al.
Computers in Biology and Medicine (2023) Vol. 169, pp. 107901-107901
Closed Access | Times Cited: 6
Bibliometric analysis on Brain-computer interfaces in a 30-year period
Zichao Yin, Yuehua Wan, Hui Fang, et al.
Applied Intelligence (2022) Vol. 53, Iss. 12, pp. 16205-16225
Closed Access | Times Cited: 9
EEG Signals to Digit Classification Using Deep Learning-Based One-Dimensional Convolutional Neural Network
Smita Tiwari, Shivani Goel, Arpit Bhardwaj
Arabian Journal for Science and Engineering (2022) Vol. 48, Iss. 8, pp. 9675-9691
Closed Access | Times Cited: 6
Identifying optimal channels and features for multi-participant motor imagery experiments across a participant’s multi-day multi-class EEG data
Esra Kaya, İsmail Sarıtaş
Cognitive Neurodynamics (2023) Vol. 18, Iss. 3, pp. 987-1003
Closed Access | Times Cited: 3
Enhanced Nanoelectronic Detection and Classification of Motor Imagery Electroencephalogram Signal Using a Hybrid Framework
Mohammad Khalid Imam Rahmani, Sultan Ahmad, Mohammad Rashid Hussain, et al.
Journal of Nanoelectronics and Optoelectronics (2023) Vol. 18, Iss. 10, pp. 1254-1263
Closed Access | Times Cited: 2
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