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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:

Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks
Siavash Sakhavi, Cuntai Guan, Shuicheng Yan
IEEE Transactions on Neural Networks and Learning Systems (2018) Vol. 29, Iss. 11, pp. 5619-5629
Open Access | Times Cited: 561

Showing 1-25 of 561 citing articles:

Deep learning for electroencephalogram (EEG) classification tasks: a review
Alexander Craik, Yongtian He, José L. Contreras-Vidal
Journal of Neural Engineering (2019) Vol. 16, Iss. 3, pp. 031001-031001
Open Access | Times Cited: 1218
Artificial intelligence for the metaverse: A survey
Thien Huynh‐The, Quoc‐Viet Pham, Xuan‐Qui Pham, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 117, pp. 105581-105581
Open Access | Times Cited: 475
Deep Learning for EEG motor imagery classification based on multi-layer CNNs feature fusion
Syed Umar Amin, Mansour Alsulaiman, Ghulam Muhammad, et al.
Future Generation Computer Systems (2019) Vol. 101, pp. 542-554
Closed Access | Times Cited: 425
EEG-Based Spatio–Temporal Convolutional Neural Network for Driver Fatigue Evaluation
Zhongke Gao, Xinmin Wang, Yuxuan Yang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2019) Vol. 30, Iss. 9, pp. 2755-2763
Closed Access | Times Cited: 383
CNN-RNN Based Intelligent Recommendation for Online Medical Pre-Diagnosis Support
Xiaokang Zhou, Yue Li, Wei Liang
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2020) Vol. 18, Iss. 3, pp. 912-921
Open Access | Times Cited: 383
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
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: 311
Subject-Independent Brain–Computer Interfaces Based on Deep Convolutional Neural Networks
Oyeon Kwon, Min-Ho Lee, Cuntai Guan, et al.
IEEE Transactions on Neural Networks and Learning Systems (2019) Vol. 31, Iss. 10, pp. 3839-3852
Open Access | Times Cited: 303
EEG-Based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and Their Applications
Xiaotong Gu, Zehong Cao, Alireza Jolfaei, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021) Vol. 18, Iss. 5, pp. 1645-1666
Open Access | Times Cited: 273
A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification
Xinqiao Zhao, Hongmiao Zhang, Guilin Zhu, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2019) Vol. 27, Iss. 10, pp. 2164-2177
Closed Access | Times Cited: 248
EEG Conformer: Convolutional Transformer for EEG Decoding and Visualization
Yonghao Song, Qingqing Zheng, Bingchuan Liu, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 31, pp. 710-719
Open Access | Times Cited: 244
Brain-Controlled Robotic Arm System Based on Multi-Directional CNN-BiLSTM Network Using EEG Signals
Ji-Hoon Jeong, Kyung-Hwan Shim, Dong‐Joo Kim, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) Vol. 28, Iss. 5, pp. 1226-1238
Closed Access | Times Cited: 242
Inter-subject transfer learning with an end-to-end deep convolutional neural network for EEG-based BCI
Fatemeh Fahimi, Zhuo Zhang, Wooi Boon Goh, et al.
Journal of Neural Engineering (2018) Vol. 16, Iss. 2, pp. 026007-026007
Open Access | Times Cited: 225
Adaptive transfer learning for EEG motor imagery classification with deep Convolutional Neural Network
Kaishuo Zhang, Neethu Robinson, Seong‐Whan Lee, et al.
Neural Networks (2020) Vol. 136, pp. 1-10
Open Access | Times Cited: 209
Signal processing techniques for motor imagery brain computer interface: A review
Swati Aggarwal, Nupur Chugh
Array (2019) Vol. 1-2, pp. 100003-100003
Open Access | Times Cited: 192
A Channel-Projection Mixed-Scale Convolutional Neural Network for Motor Imagery EEG Decoding
Yang Li, Xian-Rui Zhang, Bin Zhang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2019) Vol. 27, Iss. 6, pp. 1170-1180
Closed Access | Times Cited: 189
Deep Learning in Physiological Signal Data: A Survey
Beanbonyka Rim, Nak-Jun Sung, Se Dong Min, et al.
Sensors (2020) Vol. 20, Iss. 4, pp. 969-969
Open Access | Times Cited: 189
Multilevel Weighted Feature Fusion Using Convolutional Neural Networks for EEG Motor Imagery Classification
Syed Umar Amin, Mansour Alsulaiman, Ghulam Muhammad, et al.
IEEE Access (2019) Vol. 7, pp. 18940-18950
Open Access | Times Cited: 186
Validating Deep Neural Networks for Online Decoding of Motor Imagery Movements from EEG Signals
Zied Tayeb, Juri Fedjaev, Nejla Ghaboosi, et al.
Sensors (2019) Vol. 19, Iss. 1, pp. 210-210
Open Access | Times Cited: 182
Generative Adversarial Networks-Based Data Augmentation for Brain–Computer Interface
Fatemeh Fahimi, Strahinja Došen, Kai Keng Ang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2020) Vol. 32, Iss. 9, pp. 4039-4051
Open Access | Times Cited: 164
Deep Learning in the Biomedical Applications: Recent and Future Status
Ryad Zemouri, Noureddine Zerhouni, Daniel Racoceanu
Applied Sciences (2019) Vol. 9, Iss. 8, pp. 1526-1526
Open Access | Times Cited: 161
A novel hybrid deep learning scheme for four-class motor imagery classification
Ruilong Zhang, Qun Zong, Liqian Dou, et al.
Journal of Neural Engineering (2019) Vol. 16, Iss. 6, pp. 066004-066004
Closed Access | Times Cited: 159
Complex networks and deep learning for EEG signal analysis
Zhongke Gao, Weidong Dang, Xinmin Wang, et al.
Cognitive Neurodynamics (2020) Vol. 15, Iss. 3, pp. 369-388
Open Access | Times Cited: 158
TSception: Capturing Temporal Dynamics and Spatial Asymmetry From EEG for Emotion Recognition
Yi Ding, Neethu Robinson, Su Zhang, et al.
IEEE Transactions on Affective Computing (2022) Vol. 14, Iss. 3, pp. 2238-2250
Open Access | Times Cited: 149
Brain-Computer Interface: Advancement and Challenges
M. F. Mridha, Sujoy Chandra Das, Md. Mohsin Kabir, et al.
Sensors (2021) Vol. 21, Iss. 17, pp. 5746-5746
Open Access | Times Cited: 149
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