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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:

A Dynamic Filtering DF-RNN Deep-Learning-Based Approach for EEG-Based Neurological Disorders Diagnosis
Ghaith Bouallegue, Ridha Djemal, Saleh A. Alshebeili, et al.
IEEE Access (2020) Vol. 8, pp. 206992-207007
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review
Marjane Khodatars, Afshin Shoeibi, Delaram Sadeghi, et al.
Computers in Biology and Medicine (2021) Vol. 139, pp. 104949-104949
Closed Access | Times Cited: 217
Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states
Alexander E. Hramov, Vladimir Maksimenko, Alexander N. Pisarchik
Physics Reports (2021) Vol. 918, pp. 1-133
Closed Access | Times Cited: 153
Deep Learning in EEG: Advance of the Last Ten-Year Critical Period
Shu Gong, Kaibo Xing, Andrzej Cichocki, et al.
IEEE Transactions on Cognitive and Developmental Systems (2021) Vol. 14, Iss. 2, pp. 348-365
Open Access | Times Cited: 72
A Comprehensive Survey on the Detection, Classification, and Challenges of Neurological Disorders
Aklima Akter Lima, M. F. Mridha, Sujoy Chandra Das, et al.
Biology (2022) Vol. 11, Iss. 3, pp. 469-469
Open Access | Times Cited: 62
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works
Afshin Shoeibi, Parisa Moridian, Marjane Khodatars, et al.
Computers in Biology and Medicine (2022) Vol. 149, pp. 106053-106053
Open Access | Times Cited: 56
A deep learning based model using RNN-LSTM for the Detection of Schizophrenia from EEG data
Rinku Supakar, Parthasarathi Satvaya, Prąsun Chakrabarti
Computers in Biology and Medicine (2022) Vol. 151, pp. 106225-106225
Closed Access | Times Cited: 54
Data leakage in deep learning studies of translational EEG
Geoffrey Brookshire, Jake Kasper, Nicholas M. Blauch, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 7
Personalized Deep Bi-LSTM RNN Based Model for Pain Intensity Classification Using EDA Signal
Fatemeh Pouromran, Yingzi Lin, Sagar Kamarthi
Sensors (2022) Vol. 22, Iss. 21, pp. 8087-8087
Open Access | Times Cited: 22
Respiratory Condition Detection Using Audio Analysis and Convolutional Neural Networks Optimized by Modified Metaheuristics
Nebojša Bačanin, Luka Jovanovic, Ruxandra Stoean, et al.
Axioms (2024) Vol. 13, Iss. 5, pp. 335-335
Open Access | Times Cited: 5
Introduction to Explainable AI in EEG Signal Processing
Parag Puranik, Rahul Pethe
(2025), pp. 79-104
Closed Access
EEG Innovations in Neurological Disorder Diagnostics: A Five-Year Review
Madhuchhanda Basak, Diptadip Maiti, Debashis Das
Asian Journal of Research in Computer Science (2024) Vol. 17, Iss. 6, pp. 226-249
Open Access | Times Cited: 4
Applications of Epileptic Seizures Detection in Neuroimaging Modalities Using Deep Learning Techniques: Methods, Challenges, and Future Works.
Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 25
Autism spectrum disorder prediction using bidirectional stacked gated recurrent unit with time-distributor wrapper: an EEG study
Tanu Wadhera, Jatin Bedi, Saurabh Sharma
Neural Computing and Applications (2023) Vol. 35, Iss. 13, pp. 9803-9818
Closed Access | Times Cited: 10
Analysis of region of interest (RoI) of brain for detection of depression using EEG signal
Shalini Mahato, Sanchita Paul
Multimedia Tools and Applications (2023) Vol. 83, Iss. 1, pp. 763-786
Closed Access | Times Cited: 8
A Detailed Study on IIR-FIR Filters and Design of a Graphical User Interface for Simulation of EEG Signals
Dipannita Mondal, Mukil Alagirisamy
Deleted Journal (2023) Vol. 4, Iss. 2, pp. 216-225
Open Access | Times Cited: 8
Recording brain activity while listening to music using wearable EEG devices combined with Bidirectional Long Short-Term Memory Networks
Jingyi Wang, Zhi­qun Wang, Guiran Liu
Alexandria Engineering Journal (2024) Vol. 109, pp. 1-10
Open Access | Times Cited: 2
Channels and Features Identification: A Review and a Machine-Learning Based Model With Large Scale Feature Extraction for Emotions and ASD Classification
Abdul Rehman Aslam, Nauman Hafeez, Hadi Heidari, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 12
Functional connectivity and power spectral density analysis of EEG signals in trained practitioners of Bhramari pranayama
Nitesh Singh Malan, Aayushi Khajuria, Rishabh Bajpai, et al.
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 105003-105003
Closed Access | Times Cited: 6
IoHT-based deep learning controlled robot vehicle for paralyzed patients of smart cities
M. Hanefi Calp, Resul BÜTÜNER, Utku Köse, et al.
The Journal of Supercomputing (2022) Vol. 78, Iss. 9, pp. 11373-11408
Closed Access | Times Cited: 9
Spatial characterization of functional neural activity during lower limb motion through functional connectivity
Aurora Espinoza-Valdez, G. Quiroz, Andrés A. González‐Garrido, et al.
Journal of Applied Biomedicine (2024) Vol. 44, Iss. 1, pp. 183-196
Closed Access | Times Cited: 1
Aggregated Pattern Classification Method for improving neural disorder stage detection
Mohd Anjum, Sana Shahab, Shabir Ahmad, et al.
Brain and Behavior (2024) Vol. 14, Iss. 8
Open Access | Times Cited: 1
Hybrid similarity based feature selection and Cascade deep maxout fuzzy network for Autism Spectrum Disorder detection using EEG signal
Joy Karan Singh, Deepti Kakkar
Computational Biology and Chemistry (2024) Vol. 113, pp. 108177-108177
Closed Access | Times Cited: 1
Artificial intelligence for brain disease diagnosis using electroencephalogram signals
Shunuo Shang, Yingqian Shi, Yajie Zhang, et al.
Journal of Zhejiang University SCIENCE B (2024) Vol. 25, Iss. 10, pp. 914-940
Closed Access | Times Cited: 1
System identification methods for dynamic models of brain activity
Tristan D. Griffith, James E. Hubbard
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102765-102765
Closed Access | Times Cited: 10
Differentiating Brain Connectivity Networks in ADHD and Normal Children using EEG
Roqaie Moqadam, Nazila Loghmani, Alireza Khorrami Moghaddam, et al.
2022 30th International Conference on Electrical Engineering (ICEE) (2022), pp. 231-235
Closed Access | Times Cited: 6
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