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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:

Convolutional Neural Network Based Approach Towards Motor Imagery Tasks EEG Signals Classification
Shalu Chaudhary, Sachin Taran, Varun Bajaj, et al.
IEEE Sensors Journal (2019) Vol. 19, Iss. 12, pp. 4494-4500
Closed Access | Times Cited: 199

Showing 1-25 of 199 citing articles:

Current Status, Challenges, and Possible Solutions of EEG-Based Brain-Computer Interface: A Comprehensive Review
Mamunur Rashid, Norizam Sulaiman, Anwar P. P. Abdul Majeed, et al.
Frontiers in Neurorobotics (2020) Vol. 14
Open Access | Times Cited: 335
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: 313
Deep learning for motor imagery EEG-based classification: A review
Ali Al-Saegh, Shefa A. Dawwd, Jassim M. Abdul-Jabbar
Biomedical Signal Processing and Control (2020) Vol. 63, pp. 102172-102172
Closed Access | Times Cited: 308
A comparative analysis of signal processing and classification methods for different applications based on EEG signals
Ashima Khosla, Padmavati Khandnor, Trilok Chand
Journal of Applied Biomedicine (2020) Vol. 40, Iss. 2, pp. 649-690
Closed Access | Times Cited: 205
SPWVD-CNN for Automated Detection of Schizophrenia Patients Using EEG Signals
Smith K. Khare, Varun Bajaj, U. Rajendra Acharya
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-9
Closed Access | Times Cited: 132
Emotion Recognition From EEG Signal Focusing on Deep Learning and Shallow Learning Techniques
Md. Rabiul Islam, Mohammad Ali Moni, Md. Milon Islam, et al.
IEEE Access (2021) Vol. 9, pp. 94601-94624
Open Access | Times Cited: 130
A Driving Fatigue Feature Detection Method Based on Multifractal Theory
Fuwang Wang, Hao Wang, Xin Zhou, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 19, pp. 19046-19059
Closed Access | Times Cited: 96
GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-Resolved EEG Motor Imagery Signals
Yimin Hou, Shuyue Jia, Xiangmin Lun, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 6, pp. 7312-7323
Open Access | Times Cited: 92
Exploiting pretrained CNN models for the development of an EEG-based robust BCI framework
Muhammad Tariq Sadiq, Muhammad Zulkifal Aziz, Ahmad Almogren, et al.
Computers in Biology and Medicine (2022) Vol. 143, pp. 105242-105242
Closed Access | Times Cited: 71
A systematic review on automated human emotion recognition using electroencephalogram signals and artificial intelligence
Raveendrababu Vempati, Lakhan Dev Sharma
Results in Engineering (2023) Vol. 18, pp. 101027-101027
Open Access | Times Cited: 44
Deep Learning Models for Diagnosis of Schizophrenia Using EEG Signals: Emerging Trends, Challenges, and Prospects
Rakesh Ranjan, Bikash Chandra Sahana, Ashish Kumar Bhandari
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 4, pp. 2345-2384
Closed Access | Times Cited: 16
Major depressive disorder diagnosis based on effective connectivity in EEG signals: a convolutional neural network and long short-term memory approach
Abdolkarim Saeedi, Maryam Saeedi, Arash Maghsoudi, et al.
Cognitive Neurodynamics (2020) Vol. 15, Iss. 2, pp. 239-252
Open Access | Times Cited: 126
Transfer learning with deep convolutional neural network for automated detection of schizophrenia from EEG signals
Ahmad Shalbaf, Sara Bagherzadeh, Arash Maghsoudi
Physical and Engineering Sciences in Medicine (2020) Vol. 43, Iss. 4, pp. 1229-1239
Closed Access | Times Cited: 124
Data Augmentation for Motor Imagery Signal Classification Based on a Hybrid Neural Network
Kai Zhang, Guanghua Xu, Zezhen Han, et al.
Sensors (2020) Vol. 20, Iss. 16, pp. 4485-4485
Open Access | Times Cited: 98
CWT Based Transfer Learning for Motor Imagery Classification for Brain computer Interfaces
Piyush Kant, Shahedul Haque Laskar, Jupitara Hazarika, et al.
Journal of Neuroscience Methods (2020) Vol. 345, pp. 108886-108886
Closed Access | Times Cited: 85
How to successfully classify EEG in motor imagery BCI: a metrological analysis of the state of the art
Pasquale Arpaïa, Antonio Espósito, Angela Natalizio, et al.
Journal of Neural Engineering (2022) Vol. 19, Iss. 3, pp. 031002-031002
Closed Access | Times Cited: 61
A new automatic bearing fault size diagnosis using time-frequency images of CWT and deep transfer learning methods
Yılmaz Kaya, FATMA KUNCAN, HÜSEYİN METİN ERTUNÇ
TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES (2022) Vol. 30, Iss. 5, pp. 1851-1867
Open Access | Times Cited: 54
Emotion recognition using effective connectivity and pre-trained convolutional neural networks in EEG signals
Sara Bagherzadeh, Keivan Maghooli, Ahmad Shalbaf, et al.
Cognitive Neurodynamics (2022) Vol. 16, Iss. 5, pp. 1087-1106
Open Access | Times Cited: 41
Classification of Motor Imagery EEG Signals Based on Deep Autoencoder and Convolutional Neural Network Approach
Jamal F. Hwaidi, Tom Chen
IEEE Access (2022) Vol. 10, pp. 48071-48081
Open Access | Times Cited: 39
Enhancement of SSVEPs Classification in BCI-Based Wearable Instrumentation Through Machine Learning Techniques
Andrea Apicella, Pasquale Arpaïa, Egidio De Benedetto, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 9, pp. 9087-9094
Closed Access | Times Cited: 37
Convolutional Neural Network-Based EEG Signal Analysis: A Systematic Review
Swati Rajwal, Swati Aggarwal
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 6, pp. 3585-3615
Closed Access | Times Cited: 22
Novel Mixed Domain Hand-Crafted Features for Skin Disease Recognition Using Multiheaded CNN
Anurodh Kumar, Amit Vishwakarma, Varun Bajaj, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-13
Closed Access | Times Cited: 7
V-Net Deep Imaging Method for Electrical Resistance Tomography
Feng Li, Chao Tan, Feng Dong, et al.
IEEE Sensors Journal (2020) Vol. 20, Iss. 12, pp. 6460-6469
Closed Access | Times Cited: 61
Wireless Soft Scalp Electronics and Virtual Reality System for Motor Imagery‐Based Brain–Machine Interfaces
Musa Mahmood, Shinjae Kwon, Hojoong Kim, et al.
Advanced Science (2021) Vol. 8, Iss. 19
Open Access | Times Cited: 51
An optimized convolutional neural network for chatter detection in the milling of thin-walled parts
Weiguo Zhu, Jichao Zhuang, Baosu Guo, et al.
The International Journal of Advanced Manufacturing Technology (2020) Vol. 106, Iss. 9-10, pp. 3881-3895
Closed Access | Times Cited: 50
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