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Lee et al. 2019 (Motor Imagery) — EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy

nm000338 · 98 high-confidence citations

  1. EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy

    Min-Ho Lee, Oyeon Kwon, Yong-Jeong Kim, Hong-Kyung Kim, Young-Eun Lee, John Williamson, Siamac Fazli, Seong–Whan Lee · 2019 · GigaScience

    Cites data paper 564 citations

  2. Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: a review

    Hamdi Altaheri, Ghulam Muhammad, Mansour Alsulaiman, Syed Umar Amin, Ghadir Ali Altuwaijri, Wadood Abdul, Mohamed A. Bencherif, Mohammed Faisal · 2021 · Neural Computing and Applications

    Cites data paper 564 citations

  3. Subject-Independent Brain–Computer Interfaces Based on Deep Convolutional Neural Networks

    Oyeon Kwon, Min-Ho Lee, Cuntai Guan, Seong–Whan Lee · 2019 · IEEE Transactions on Neural Networks and Learning Systems

    Cites data paper 356 citations

  4. Brain-Controlled Robotic Arm System Based on Multi-Directional CNN-BiLSTM Network Using EEG Signals

    Ji-Hoon Jeong, Kyung-Hwan Shim, Dong‐Joo Kim, Seong–Whan Lee · 2020 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

    Cites data paper 291 citations

  5. Adaptive transfer learning for EEG motor imagery classification with deep Convolutional Neural Network

    Kaishuo Zhang, Neethu Robinson, Seong‐Whan Lee, Cuntai Guan · 2020 · Neural Networks

    Cites data paper 281 citations

  6. Brain-Computer Interface: Advancement and Challenges

    M. F. Mridha, Sujoy Chandra Das, Md. Mohsin Kabir, Aklima Akter Lima, Md. Rashedul Islam, Yutaka Watanobe · 2021 · Sensors

    Cites data paper 255 citations

  7. BETA: A Large Benchmark Database Toward SSVEP-BCI Application

    Bingchuan Liu, Xiaoshan Huang, Yijun Wang, Xiaogang Chen, Xiaorong Gao · 2020 · Frontiers in Neuroscience

    Cites data paper 197 citations

  8. A Comprehensive Review on Critical Issues and Possible Solutions of Motor Imagery Based Electroencephalography Brain-Computer Interface

    Amardeep Singh, Ali Abdul Hussain, Sunil Pranit Lal, Hans W. Guesgen · 2021 · Sensors

    Cites data paper 176 citations

  9. MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification

    Phairot Autthasan, Rattanaphon Chaisaen, Thapanun Sudhawiyangkul, Phurin Rangpong, Suktipol Kiatthaveephong, Nat Dilokthanakul, Gun Bhakdisongkhram, Huy Phan, Cuntai Guan, Theerawit Wilaiprasitporn · 2021 · IEEE Transactions on Biomedical Engineering

    Cites data paper 175 citations

  10. Spatio-Spectral Feature Representation for Motor Imagery Classification Using Convolutional Neural Networks

    Ji-Seon Bang, Min-Ho Lee, Siamac Fazli, Cuntai Guan, Seong–Whan Lee · 2021 · IEEE Transactions on Neural Networks and Learning Systems

    Cites data paper 165 citations

  11. Neural Decoding of Imagined Speech and Visual Imagery as Intuitive Paradigms for BCI Communication

    Seo‐Hyun Lee, Minji Lee, Seong–Whan Lee · 2020 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

    Cites data paper 159 citations

  12. EEG-ITNet: An Explainable Inception Temporal Convolutional Network for Motor Imagery Classification

    Abbas Salami, Javier Andreu-Pérez, Helge Gillmeister · 2022 · IEEE Access

    Cites data paper 142 citations

  13. FBCNet: A Multi-view Convolutional Neural Network for Brain-Computer Interface

    Ravikiran Mane, Effie Chew, Karen Sui Geok Chua, Kai Keng Ang, Neethu Robinson, A. P. Vinod, Seong–Whan Lee, Cuntai Guan · 2021 · arXiv (Cornell University)

    Cites data paper 126 citations

  14. A Multi-view CNN with Novel Variance Layer for Motor Imagery Brain Computer Interface

    Ravikiran Mane, Neethu Robinson, A. P. Vinod, Seong–Whan Lee, Cuntai Guan · 2020 · n/a

    Cites data paper 123 citations

  15. Decoding EEG Rhythms During Action Observation, Motor Imagery, and Execution for Standing and Sitting

    Rattanaphon Chaisaen, Phairot Autthasan, Nopparada Mingchinda, Pitshaporn Leelaarporn, Narin Kunaseth, Suppakorn Tammajarung, Poramate Manoonpong, Subhas Chandra Mukhopadhyay, Theerawit Wilaiprasitporn · 2020 · IEEE Sensors Journal

    Cites data paper 117 citations

  16. FBMSNet: A Filter-Bank Multi-Scale Convolutional Neural Network for EEG-Based Motor Imagery Decoding

    Ke Liu, Mingzhao Yang, Zhuliang Yu, Guoyin Wang, Wei Wu · 2022 · IEEE Transactions on Biomedical Engineering

    Cites data paper 115 citations

  17. Deep Learning in EEG-Based BCIs: A Comprehensive Review of Transformer Models, Advantages, Challenges, and Applications

    Berdakh Abibullaev, Aigerim Keutayeva, Amin Zollanvari · 2023 · IEEE Access

    Cites data paper 115 citations

  18. Classification of pilots’ mental states using a multimodal deep learning network

    Soo-Yeon Han, No-Sang Kwak, Taegeun Oh, Seong‐Whan Lee · 2019 · Journal of Applied Biomedicine

    Cites data paper 114 citations

  19. Decoding Movement-Related Cortical Potentials Based on Subject-Dependent and Section-Wise Spectral Filtering

    Ji-Hoon Jeong, No-Sang Kwak, Cuntai Guan, Seong–Whan Lee · 2020 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

    Cites data paper 114 citations

  20. IFNet: An Interactive Frequency Convolutional Neural Network for Enhancing Motor Imagery Decoding From EEG

    Jiaheng Wang, Lin Yao, Yueming Wang · 2023 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

    Cites data paper 112 citations

  21. Multi-Scale Neural Network for EEG Representation Learning in BCI

    Wonjun Ko, Eunjin Jeon, Seungwoo Jeong, Heung‐Il Suk · 2021 · IEEE Computational Intelligence Magazine

    Cites data paper 110 citations

  22. NeuroGrasp: Real-Time EEG Classification of High-Level Motor Imagery Tasks Using a Dual-Stage Deep Learning Framework

    Jeong-Hyun Cho, Ji-Hoon Jeong, Seong-Whan Lee · 2021 · IEEE Transactions on Cybernetics

    Cites data paper 106 citations

  23. Classification of motor imagery EEG using deep learning increases performance in inefficient BCI users

    Navneet Tibrewal, Nikki Leeuwis, Maryam Alimardani · 2022 · PLoS ONE

    Cites data paper 103 citations

  24. Classification of Drowsiness Levels Based on a Deep Spatio-Temporal Convolutional Bidirectional LSTM Network Using Electroencephalography Signals

    Ji-Hoon Jeong, Baek-Woon Yu, Dae-Hyeok Lee, Seong–Whan Lee · 2019 · Brain Sciences

    Cites data paper 101 citations

  25. Towards an EEG-based Intuitive BCI Communication System Using Imagined Speech and Visual Imagery

    Seo‐Hyun Lee, Minji Lee, Ji-Hoon Jeong, Seong–Whan Lee · 2019 · n/a

    Cites data paper 98 citations

  26. Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX

    Xia Chen, Xiangbin Teng, Han Chen, Yafeng Pan, Philipp Geyer · 2023 · Biomedical Signal Processing and Control

    Cites data paper 95 citations

  27. Tensor-CSPNet: A Novel Geometric Deep Learning Framework for Motor Imagery Classification

    Ce Ju, Cuntai Guan · 2022 · IEEE Transactions on Neural Networks and Learning Systems

    Cites data paper 90 citations

  28. Toward EEG-Based BCI Applications for Industry 4.0: Challenges and Possible Applications

    Khalida Douibi, Solène Le Bars, Alice Lemontey, Lipsa Nag, Rodrigo Balp, Gabrièle Bréda · 2021 · Frontiers in Human Neuroscience

    Cites data paper 84 citations

  29. A shallow mirror transformer for subject-independent motor imagery BCI

    Jing Luo, Yaojie Wang, Shuxiang Xia, Na Lu, Xiaoyong Ren, Zhenghao Shi, Xinhong Hei · 2023 · Computers in Biology and Medicine

    Cites data paper 81 citations

  30. A large EEG dataset for studying cross-session variability in motor imagery brain-computer interface

    Jun Ma, Banghua Yang, Wenzheng Qiu, Yunzhe Li, Shouwei Gao, Xinxing Xia · 2022 · Scientific Data

    Cites data paper 81 citations

  31. Multimodal signal dataset for 11 intuitive movement tasks from single upper extremity during multiple recording sessions

    Ji-Hoon Jeong, Jeong-Hyun Cho, Kyung-Hwan Shim, Byoung-Hee Kwon, Byeong-Hoo Lee, Do-Yeun Lee, Dae-Hyeok Lee, Seong–Whan Lee · 2020 · GigaScience

    Cites data paper 77 citations

  32. ADFCNN: Attention-Based Dual-Scale Fusion Convolutional Neural Network for Motor Imagery Brain–Computer Interface

    Tao Wei, Ze Wang, Chi Man Wong, Ziyu Jia, Chang Li, Xun Chen, C. L. Philip Chen, Feng Wan · 2023 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

    Cites data paper 77 citations

  33. EEGSym: Overcoming Inter-Subject Variability in Motor Imagery Based BCIs With Deep Learning

    Sergio Pérez-Velasco, Eduardo Santamaría-Vázquez, Víctor Martínez-Cagigal, Diego Marcos-Martínez, Roberto Hornero · 2022 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

    Cites data paper 76 citations

  34. A Temporal Dependency Learning CNN With Attention Mechanism for MI-EEG Decoding

    Xinzhi Ma, Weihai Chen, Zhongcai Pei, Jingmeng Liu, Bin Huang, Jianer Chen · 2023 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

    Cites data paper 76 citations

  35. EEG-Transformer: Self-attention from Transformer Architecture for Decoding EEG of Imagined Speech

    Young-Eun Lee, Seo‐Hyun Lee · 2022 · n/a

    Cites data paper 76 citations

  36. Filter Bank Convolutional Neural Network for Short Time-Window Steady-State Visual Evoked Potential Classification

    Wenlong Ding, Jianhua Shan, Bin Fang, Chengyin Wang, Fuchun Sun, Xinyue Li · 2021 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

    Cites data paper 69 citations

  37. EEG Dataset for RSVP and P300 Speller Brain-Computer Interfaces

    Kyungho Won, Moonyoung Kwon, Minkyu Ahn, Sung Chan Jun · 2022 · Scientific Data

    Cites data paper 62 citations

  38. Decoding Imagined Speech Based on Deep Metric Learning for Intuitive BCI Communication

    Dong-Yeon Lee, Minji Lee, Seong–Whan Lee · 2021 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

    Cites data paper 62 citations

  39. Functional Connectivity Analysis in Motor-Imagery Brain Computer Interfaces

    Nikki Leeuwis, Sue Yoon, Maryam Alimardani · 2021 · Frontiers in Human Neuroscience

    Cites data paper 59 citations

  40. A Multi-Domain Convolutional Neural Network for EEG-Based Motor Imagery Decoding

    Hongyi Zhi, Zhuliang Yu, Tianyou Yu, Zhenghui Gu, Jian Yang · 2023 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

    Cites data paper 57 citations

  41. Discrepancy between inter- and intra-subject variability in EEG-based motor imagery brain-computer interface: Evidence from multiple perspectives

    Gan Huang, Zhiheng Zhao, Shaorong Zhang, Zhenxing Hu, Jiaming Fan, Meisong Fu, Jiale Chen, Yaqiong Xiao, Jun Wang, Dan Guo · 2023 · Frontiers in Neuroscience

    Cites data paper 57 citations

  42. An EEG motor imagery dataset for brain computer interface in acute stroke patients

    Haijie Liu, Penghu Wei, Haochong Wang, Xiaodong Lv, Wei Duan, Meijie Li, Yan Zhao, Qingmei Wang, Xinyuan Chen, Gaige Shi, Bo Han, Junwei Hao · 2024 · Scientific Data

    Cites data paper 56 citations

  43. An Open Dataset for Wearable SSVEP-Based Brain-Computer Interfaces

    Fangkun Zhu, Lu Jiang, Guoya Dong, Xiaorong Gao, Yijun Wang · 2021 · Sensors

    Cites data paper 55 citations

  44. Predicting Motor Imagery Performance From Resting-State EEG Using Dynamic Causal Modeling

    Minji Lee, Jae-Geun Yoon, Seong-Whan Lee · 2020 · Frontiers in Human Neuroscience

    Cites data paper 54 citations

  45. <i>WeDea:</i> A New EEG-Based Framework for Emotion Recognition

    Sun-Hee Kim, Hyung-Jeong Yang, Ngoc Anh Thi Nguyen, Sunil Kumar Prabhakar, Seong-Whan Lee · 2021 · IEEE Journal of Biomedical and Health Informatics

    Cites data paper 52 citations

  46. Effects of Virtual Reality Cognitive Training on Neuroplasticity: A Quasi-Randomized Clinical Trial in Patients with Stroke

    Antonio Gangemi, Rosaria De Luca, Rosa Angela Fabio, Paola Lauria, Carmela Rifici, Patrizia Pollicino, Angela Marra, Antonella Olivo, Angelo Quartarone, Rocco Salvatore Calabrò · 2023 · Biomedicines

    Cites data paper 51 citations

  47. A Spectrally-Dense Encoding Method for Designing a High-Speed SSVEP-BCI With 120 Stimuli

    Xiaogang Chen, Bingchuan Liu, Yijun Wang, Xiaorong Gao · 2022 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

    Cites data paper 50 citations

  48. Similarity-constrained task-related component analysis for enhancing SSVEP detection

    Qiang Sun, Minyou Chen, Li Zhang, Changsheng Li, Wenfa Kang · 2021 · Journal of Neural Engineering

    Cites data paper 50 citations

  49. An Analysis of Deep Learning Models in SSVEP-Based BCI: A Survey

    Dongcen Xu, Fengzhen Tang, Yiping Li, Qifeng Zhang, Xisheng Feng · 2023 · Brain Sciences

    Cites data paper 48 citations

  50. MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding

    Ke Liu, Tao Yang, Zhuliang Yu, Weibo Yi, Hong Yu, Guoyin Wang, Wei Wu · 2024 · IEEE Journal of Biomedical and Health Informatics

    Cites data paper 48 citations

  51. Vividness of Visual Imagery and Personality Impact Motor-Imagery Brain Computer Interfaces

    Nikki Leeuwis, Alissa Paas, Maryam Alimardani · 2021 · Frontiers in Human Neuroscience

    Cites data paper 47 citations

  52. Towards Voice Reconstruction from EEG during Imagined Speech

    Young-Eun Lee, Seo‐Hyun Lee, Sangho Kim, Seong–Whan Lee · 2023 · Proceedings of the AAAI Conference on Artificial Intelligence

    Cites data paper 47 citations

  53. Transformers in biosignal analysis: A review

    Ayman Anwar, Yassin Khalifa, James L. Coyle, Ervin Sejdić · 2024 · Information Fusion

    Cites data paper 46 citations

  54. REVE: A Foundation Model for EEG - Adapting to Any Setup with Large-Scale Pretraining on 25,000 Subjects

    Yassine El Ouahidi, Jonathan Lys, Philipp Thölke, Nicolas Farrugia, B. Pasdeloup, Vincent Gripon, Karim Jerbi, Giulia Lioi · 2025 · ArXiv

    Cites data paper 46 citations

  55. MDTL: A Novel and Model-Agnostic Transfer Learning Strategy for Cross-Subject Motor Imagery BCI

    Ang Li, Zhenyu Wang, Xi Zhao, Tianheng Xu, Ting Zhou, Honglin Hu · 2023 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

    Cites data paper 43 citations

  56. Subject inefficiency phenomenon of motor imagery brain-computer interface: Influence factors and potential solutions

    Rui Zhang, Fali Li, Tao Zhang, Dezhong Yao, Peng Xu · 2020 · Brain Science Advances

    Cites data paper 43 citations

  57. Spectral Analysis of EEG Signals for Automatic Imagined Speech Recognition

    Ashwin Kamble, Pradnya Ghare, Vinay Kumar, Ashwin Kothari, Avinash G. Keskar · 2023 · IEEE Transactions on Instrumentation and Measurement

    Cites data paper 43 citations

  58. 2020 International brain–computer interface competition: A review

    Ji-Hoon Jeong, Jeong-Hyun Cho, Young-Eun Lee, Seo‐Hyun Lee, Seo-Hyun Lee, Gi-Hwan Shin, Young-Seok Kweon, José del R. Millán, Klaus‐Robert Müller, Seong-Whan Lee, Seong-Whan Lee · 2022 · Frontiers in Human Neuroscience

    Cites data paper 43 citations

  59. A hybrid steady-state visual evoked response-based brain-computer interface with MEG and EEG

    Xiang Li, Jingjing Chen, Nanlin Shi, Chen Yang, Puze Gao, Xiaogang Chen, Yijun Wang, Shangkai Gao, Xiaorong Gao · 2023 · Expert Systems with Applications

    Cites data paper 42 citations

  60. Deep learning in motor imagery EEG signal decoding: A Systematic Review

    Aurora Saibene, Hafez Ghaemi, Eda Dağdevır · 2024 · Neurocomputing

    Cites data paper 42 citations

  61. Comparative analysis of spectral and temporal combinations in CSP-based methods for decoding hand motor imagery tasks

    Cristian Felipe Blanco-Díaz, Javier M. Antelis, Andrés F. Ruíz-Olaya · 2022 · Journal of Neuroscience Methods

    Cites data paper 41 citations

  62. A Benchmark Dataset for RSVP-Based Brain–Computer Interfaces

    Shangen Zhang, Yijun Wang, Lijian Zhang, Xiaorong Gao · 2020 · Frontiers in Neuroscience

    Cites data paper 41 citations

  63. Subject-independent meta-learning framework towards optimal training of EEG-based classifiers

    H.W. Ng, Cuntai Guan · 2024 · Neural Networks

    Cites data paper 37 citations

  64. Multi-scale convolutional transformer network for motor imagery brain-computer interface

    Wei Zhao, Baocan Zhang, Haifeng Zhou, Dezhi Wei, Chenxi Huang, Quan Lan · 2025 · Scientific Reports

    Cites data paper 36 citations

  65. Improving Motor Imagery-Based Brain-Computer Interface Performance Based on Sensory Stimulation Training: An Approach Focused on Poorly Performing Users

    Sangin Park, Jihyeon Ha, Da‐Hye Kim, Laehyun Kim · 2021 · Frontiers in Neuroscience

    Cites data paper 36 citations

  66. GITGAN: Generative inter-subject transfer for EEG motor imagery analysis

    Kang Yin, Elissa Yanting Lim, Seong–Whan Lee · 2023 · Pattern Recognition

    Cites data paper 35 citations

  67. Session Invariant EEG Signatures using Elicitation Protocol Fusion and Convolutional Neural Network

    Essam Debie, Nour Moustafa, Athanasios V. Vasilakos · 2021 · IEEE Transactions on Dependable and Secure Computing

    Cites data paper 35 citations

  68. Artificial Intelligence Algorithms in Visual Evoked Potential-Based Brain-Computer Interfaces for Motor Rehabilitation Applications: Systematic Review and Future Directions

    Josefina Gutiérrez-Martínez, Jorge A. Mercado-Gutiérrez, Blanca E. Carvajal-Gámez, Jorge L. Rosas‐Trigueros, Adrian E. Contreras-Martinez · 2021 · Frontiers in Human Neuroscience

    Cites data paper 35 citations

  69. EEG Representation in Deep Convolutional Neural Networks for Classification of Motor Imagery

    Neethu Robinson, Seong–Whan Lee, Cuntai Guan · 2019 · n/a

    Cites data paper 34 citations

  70. Filter bank sinc-convolutional network with channel self-attention for high performance motor imagery decoding

    Jiaming Chen, Dan Wang, Weibo Yi, Meng Xu, Xiyue Tan · 2023 · Journal of Neural Engineering

    Cites data paper 33 citations

  71. EEG motor imagery classification using deep learning approaches in naïve BCI users

    Cristian David Guerrero-Méndez, Cristian Felipe Blanco-Díaz, Andrés F. Ruíz-Olaya, Alberto López-Delis, Sebastián Jaramillo-Isaza, Rafhael M. Andrade, Alberto F. De Souza, Denis Delisle-Rodríguez, Anselmo Frizera, Teodiano Bastos-Filho · 2023 · Biomedical Physics & Engineering Express

    Cites data paper 33 citations

  72. Adaptable and Robust EEG Bad Channel Detection Using Local Outlier Factor (LOF)

    Velu Prabhakar Kumaravel, M. Buiatti, Eugenio Parise, Elisabetta Farella · 2022 · Sensors

    Cites data paper 32 citations

  73. Toward Imagined Speech based Smart Communication System: Potential Applications on Metaverse Conditions

    Seo‐Hyun Lee, Young-Eun Lee, Seong–Whan Lee · 2022 · n/a

    Cites data paper 31 citations

  74. M3CV: A multi-subject, multi-session, and multi-task database for EEG-based biometrics challenge

    Gan Huang, Zhenxing Hu, Weize Chen, Shaorong Zhang, Zhen Liang, Linling Li, Li Zhang, Zhiguo Zhang · 2022 · NeuroImage

    Cites data paper 31 citations

  75. Multi-channel EEG signals classification via CNN and multi-head self-attention on evidence theory

    Lang Zhang, Fuyuan Xiao, Zehong Cao · 2023 · Information Sciences

    Cites data paper 31 citations

  76. A multi-day and multi-band dataset for a steady-state visual-evoked potential–based brain-computer interface

    Ga-Young Choi, Chang Hee Han, Young–Jin Jung, Han-Jeong Hwang · 2019 · GigaScience

    Cites data paper 31 citations

  77. Domain Generalization for Session-Independent Brain-Computer Interface

    Dong‐Kyun Han, Ji-Hoon Jeong · 2021 · n/a

    Cites data paper 30 citations

  78. EEG-DG: A Multi-Source Domain Generalization Framework for Motor Imagery EEG Classification

    Xiao-Cong Zhong, Qisong Wang, Dan Liu, Zhihuang Chen, Jing-Xiao Liao, Jinwei Sun, Yudong Zhang, Fenglei Fan · 2024 · IEEE Journal of Biomedical and Health Informatics

    Cites data paper 30 citations

  79. Deep Comparisons of Neural Networks from the EEGNet Family

    Csaba Márton Köllőd, András Adolf, Kristóf Iván, Gergely Márton, István Ulbert · 2023 · Electronics

    Cites data paper 30 citations

  80. A Real-Time Movement Artifact Removal Method for Ambulatory Brain-Computer Interfaces

    Young-Eun Lee, No-Sang Kwak, Seong–Whan Lee · 2020 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

    Cites data paper 30 citations

  81. Multi-branch spatial-temporal-spectral convolutional neural networks for multi-task motor imagery EEG classification

    Zikun Cai, Tian-jian Luo, Xuan Cao · 2024 · Biomedical Signal Processing and Control

    Cites data paper 29 citations

  82. A Multi-Source Transfer Joint Matching Method for Inter-Subject Motor Imagery Decoding

    Fulin Wei, Xueyuan Xu, Tianyuan Jia, Daoqiang Zhang, Xia Wu · 2023 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

    Cites data paper 29 citations

  83. Mobile BCI dataset of scalp- and ear-EEGs with ERP and SSVEP paradigms while standing, walking, and running

    Young-Eun Lee, Gi-Hwan Shin, Minji Lee, Seong–Whan Lee · 2021 · Scientific Data

    Cites data paper 28 citations

  84. An open dataset for human SSVEPs in the frequency range of 1-60 Hz

    Meng Gu, Weihua Pei, Xiaorong Gao, Yijun Wang · 2024 · Scientific Data

    Cites data paper 28 citations

  85. Hierarchical Transformer for Motor Imagery-Based Brain Computer Interface

    Permana Deny, S.H.Cheon Cheon, Hayoung Son, Kae Won Choi · 2023 · IEEE Journal of Biomedical and Health Informatics

    Cites data paper 28 citations

  86. A hybrid P300-SSVEP brain-computer interface speller with a frequency enhanced row and column paradigm

    Xin Bai, Minglun Li, Shouliang Qi, Anna Ching Mei Ng, Tit Ng, Wei Qian · 2023 · Frontiers in Neuroscience

    Cites data paper 28 citations

  87. SASDL and RBATQ: Sparse Autoencoder With Swarm Based Deep Learning and Reinforcement Based Q-Learning for EEG Classification

    Sunil Kumar Prabhakar, Seong–Whan Lee · 2022 · IEEE Open Journal of Engineering in Medicine and Biology

    Cites data paper 28 citations

  88. Relevance-based channel selection in motor imagery brain–computer interface

    Aarthy Nagarajan, Neethu Robinson, Cuntai Guan · 2022 · Journal of Neural Engineering

    Cites data paper 27 citations

  89. Effects of the concentration level, eye fatigue and coffee consumption on the performance of a BCI system based on visual ERP-P300

    Cristian Felipe Blanco-Díaz, Cristian David Guerrero-Méndez, Teodiano Bastos-Filho, Sebastián Jaramillo-Isaza, Andrés F. Ruíz-Olaya · 2022 · Journal of Neuroscience Methods

    Cites data paper 27 citations

  90. Decoding EEG rhythms offline and online during motor imagery for standing and sitting based on a brain-computer interface

    Nayid Triana-Guzman, Álvaro D. Orjuela-Cañón, Andrés L. Jutinico, Omar Mendoza-Montoya, Javier M. Antelis · 2022 · Frontiers in Neuroinformatics

    Cites data paper 27 citations

  91. Current Trends, Challenges, and Future Research Directions of Hybrid and Deep Learning Techniques for Motor Imagery Brain–Computer Interface

    Emmanouil Lionakis, Konstantinos Κarampidis, Giorgos Papadourakis · 2023 · Multimodal Technologies and Interaction

    Cites data paper 26 citations

  92. A novel deep transfer learning framework integrating general and domain-specific features for EEG-based brain–computer interface

    Zilin Liang, Zheng Zheng, Weihai Chen, Zhongcai Pei, Jianhua Wang, Jianer Chen · 2024 · Biomedical Signal Processing and Control

    Cites data paper 26 citations

  93. A Novel Hybrid Brain-Computer Interface Combining Motor Imagery and Intermodulation Steady-State Visual Evoked Potential

    Xinyi Chi, Chunxiao Wan, Chunyan Wang, Yong Zhang, Xiaogang Chen, Hongyan Cui · 2022 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

    Cites data paper 26 citations

  94. User Biometric Identification Methodology via EEG-Based Motor Imagery Signals

    SuJin Bak, Jichai Jeong · 2023 · IEEE Access

    Cites data paper 25 citations

  95. A BCI based Smart Home System Combined with Event-related Potentials and Speech Imagery Task

    Hyeong-Jin Kim, Min-Ho Lee, Minji Lee · 2020 · n/a

    Cites data paper 25 citations

  96. MARS: Multiagent Reinforcement Learning for Spatial—Spectral and Temporal Feature Selection in EEG-Based BCI

    Dong-Hee Shin, Young-Han Son, Jun-Mo Kim, Hee-Jun Ahn, Jun‐Ho Seo, Chang-Hoon Ji, Ji-Wung Han, Byung-Jun Lee, Dong-Ok Won, Tae‐Eui Kam · 2024 · IEEE Transactions on Systems Man and Cybernetics Systems

    Cites data paper 25 citations

  97. Robust decoding for MI-EEG: a hybrid transformer network using multi-perspective collaborative attention and dynamic hyperbolic tangent

    Mei Wang, Zhibo Gong, Y Q Li, Yuancheng Li, Yu Zheng · 2026 · Cognitive Neurodynamics

    Cites data paper

  98. Faculty Opinions recommendation of EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy.

    Klaus‐Robert Müller · 2019 · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature

    Cites data paper

4 lower-confidence citations (not counted)
  1. Possible Effect of Binaural Beat Combined With Autonomous Sensory Meridian Response for Inducing Sleep

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    Cites data paper 107 citations

  2. Leaf-inspired homeostatic cellulose biosensors

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    Cites data paper 62 citations

  3. Comprehensive review of Transformer‐based models in neuroscience, neurology, and psychiatry

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    Cites data paper 42 citations

  4. Dynamic decomposition graph convolutional neural network for SSVEP-based brain–computer interface

    Shubin Zhang, Dong An, Jincun Liu, Jiannan Chen, Yaoguang Wei, Fuchun Sun · 2023 · Neural Networks

    Cites data paper 25 citations