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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:

Deep Learning based Prediction of EEG Motor Imagery of Stroke Patients’ for Neuro-Rehabilitation Application
Haider Raza, Anirban Chowdhury, Saugat Bhattacharyya
2022 International Joint Conference on Neural Networks (IJCNN) (2020), pp. 1-8
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

A Sliding Window Common Spatial Pattern for Enhancing Motor Imagery Classification in EEG-BCI
Pramod Gaur, Harsh Gupta, Anirban Chowdhury, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-9
Open Access | Times Cited: 187
Review of challenges associated with the EEG artifact removal methods
Wajid Mumtaz, Suleman Rasheed, Alina Irfan
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102741-102741
Closed Access | Times Cited: 116
Single-Source to Single-Target Cross-Subject Motor Imagery Classification Based on Multisubdomain Adaptation Network
Yi Chen, Rui Yang, Mengjie Huang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 1992-2002
Open Access | Times Cited: 38
A Review of Online Classification Performance in Motor Imagery-Based Brain–Computer Interfaces for Stroke Neurorehabilitation
Athanasios Vavoulis, Patrícia Figueiredo, Athanasios Vourvopoulos
Signals (2023) Vol. 4, Iss. 1, pp. 73-86
Open Access | Times Cited: 22
Towards Transforming Neurorehabilitation: The Impact of Artificial Intelligence on Diagnosis and Treatment of Neurological Disorders
Andrea Calderone, Dèsiréè Latella, Mirjam Bonanno, et al.
Biomedicines (2024) Vol. 12, Iss. 10, pp. 2415-2415
Open Access | Times Cited: 11
Sliding Window Along With EEGNet-Based Prediction of EEG Motor Imagery
Pabba Saideepthi, Anirban Chowdhury, Pramod Gaur, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 15, pp. 17703-17713
Open Access | Times Cited: 20
ADFCNN: Attention-Based Dual-Scale Fusion Convolutional Neural Network for Motor Imagery Brain–Computer Interface
Tao Wei, Ze Wang, Chi Man Wong, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 32, pp. 154-165
Open Access | Times Cited: 16
SCSP-3: A Spectrally Augmented Common Spatial Pattern Approach for Robust Motor Imagery-Based Brain–Computer Interface
Sunreet Khanna, Anirban Chowdhury, Ashish Dutta, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 5, pp. 6634-6642
Open Access | Times Cited: 6
An Automatic Method for Epileptic Seizure Detection Based on Deep Metric Learning
Lijuan Duan, Zeyu Wang, Yuanhua Qiao, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 5, pp. 2147-2157
Closed Access | Times Cited: 34
Deep Adversarial Domain Adaptation With Few-Shot Learning for Motor-Imagery Brain-Computer Interface
Chatrin Phunruangsakao, David Achanccaray, Mitsuhiro Hayashibe
IEEE Access (2022) Vol. 10, pp. 57255-57265
Open Access | Times Cited: 22
Diagonal loading common spatial patterns with Pearson correlation coefficient based feature selection for efficient motor imagery classification
Hanaa S. Ali, Asmaa I. Ismail, El‐Sayed M. El‐Rabaie, et al.
Computer Methods in Biomechanics & Biomedical Engineering (2025), pp. 1-15
Closed Access
Brain Wave Behaviours and Brain Stroke Prediction Using Deep Learning Techniques
R. Parvathi, V. Pattabiraman, Xiaohui Yuan
Advances in medical education, research, and ethics (AMERE) book series (2025), pp. 147-188
Closed Access
A transfer learning framework based on motor imagery rehabilitation for stroke
Fangzhou Xu, Yunjing Miao, Yanan Sun, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 32
Logistic Regression With Tangent Space-Based Cross-Subject Learning for Enhancing Motor Imagery Classification
Pramod Gaur, Anirban Chowdhury, Karl McCreadie, et al.
IEEE Transactions on Cognitive and Developmental Systems (2021) Vol. 14, Iss. 3, pp. 1188-1197
Open Access | Times Cited: 27
Determining optimal mobile neurofeedback methods for motor neurorehabilitation in children and adults with non-progressive neurological disorders: a scoping review
Ahad Behboodi, Walker A. Lee, Victoria S. Hinchberger, et al.
Journal of NeuroEngineering and Rehabilitation (2022) Vol. 19, Iss. 1
Open Access | Times Cited: 17
Deep Learning and Artificial Intelligence in Action (2019–2023): A Review on Brain Stroke Detection, Diagnosis, and Intelligent Post-Stroke Rehabilitation Management
Jyotismita Chaki, Marcin Woźniak
IEEE Access (2024) Vol. 12, pp. 52161-52181
Open Access | Times Cited: 3
Multi-Task Heterogeneous Ensemble Learning-Based Cross-Subject EEG Classification Under Stroke Patients
Minji Lee, Hyeong-Yeong Park, Wanjoo Park, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 1767-1778
Open Access | Times Cited: 3
Decoding Finger Tapping With the Affected Hand in Chronic Stroke Patients During Motor Imagery and Execution
Minji Lee, Ji-Hoon Jeong, Yun‐Hee Kim, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021) Vol. 29, pp. 1099-1109
Open Access | Times Cited: 20
Clinical Brain–Computer Interface Challenge 2020 (CBCIC at WCCI2020): Overview, Methods and Results
Anirban Chowdhury, Javier Andreu-Pérez
IEEE Transactions on Medical Robotics and Bionics (2021) Vol. 3, Iss. 3, pp. 661-670
Open Access | Times Cited: 18
Improving cross-subject classification performance of motor imagery signals: a data augmentation-focused deep learning framework
Enes Ozelbas, Emine Elif Tülay, Serhat Özekes
Machine Learning Science and Technology (2024) Vol. 5, Iss. 1, pp. 015021-015021
Open Access | Times Cited: 2
Transferring a deep learning model from healthy subjects to stroke patients in a motor imagery brain-computer interface
Aarthy Nagarajan, Neethu Robinson, Kai Keng Ang, et al.
Journal of Neural Engineering (2023) Vol. 21, Iss. 1, pp. 016007-016007
Closed Access | Times Cited: 5
BiCurNet: Premovement EEG-Based Neural Decoder for Biceps Curl Trajectory Estimation
Manali Saini, Anant Jain, Suriya Prakash Muthukrishnan, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 73, pp. 1-11
Closed Access | Times Cited: 5
A novel AI-driven EEG generalized classification model for cross-subject and cross-scene analysis
Jingjing Li, Ching‐Hung Lee, Yanhong Zhou, et al.
Advanced Engineering Informatics (2024) Vol. 63, pp. 102971-102971
Closed Access | Times Cited: 1
Automated detection of clinical depression based on convolution neural network model
Dandan Yan, Lulu Zhao, Xinwang Song, et al.
Biomedical Engineering / Biomedizinische Technik (2022) Vol. 67, Iss. 2, pp. 131-142
Closed Access | Times Cited: 5
Evolutionary Reinforcement Learning for Automated Hyperparameter Optimization in EEG Classification
Dong-Hee Shin, Dong-Hee Ko, Ji-Wung Han, et al.
(2022), pp. 1-5
Closed Access | Times Cited: 5
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