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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:

Neurological abnormality detection from electroencephalography data: a review
Ashik Mostafa Alvi, Siuly Siuly, Hua Wang
Artificial Intelligence Review (2021) Vol. 55, Iss. 3, pp. 2275-2312
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

A deep learning based framework for diagnosis of mild cognitive impairment
Ashik Mostafa Alvi, Siuly Siuly, Hua Wang, et al.
Knowledge-Based Systems (2022) Vol. 248, pp. 108815-108815
Closed Access | Times Cited: 54
Exploring deep residual network based features for automatic schizophrenia detection from EEG
Siuly Siuly, Yanhui Guo, Ömer Faruk Alçin, et al.
Physical and Engineering Sciences in Medicine (2023) Vol. 46, Iss. 2, pp. 561-574
Open Access | Times Cited: 30
Consumer-Grade Electroencephalogram and Functional Near-Infrared Spectroscopy Neurofeedback Technologies for Mental Health and Wellbeing
Kira Flanagan, Manob Jyoti Saikia
Sensors (2023) Vol. 23, Iss. 20, pp. 8482-8482
Open Access | Times Cited: 17
Spatiotemporal wavelet-domain neuroimaging of chaotic EEG seizure signals in epilepsy diagnosis and prognosis with the use of graph convolutional LSTM networks
Njud S. Alharbi, Stelios Bekiros, Hadi Jahanshahi, et al.
Chaos Solitons & Fractals (2024) Vol. 181, pp. 114675-114675
Closed Access | Times Cited: 6
Early detection of neurological abnormalities using a combined phase space reconstruction and deep learning approach
Amjed Al Fahoum, Ala’a Zyout
Intelligence-Based Medicine (2023) Vol. 8, pp. 100123-100123
Open Access | Times Cited: 16
Unlocking the Potential of EEG in Alzheimer's Disease Research: Current Status and Pathways to Precision Detection
Faisal Akbar, Imran Taj, Syed Muhammad Usman, et al.
Brain Research Bulletin (2025), pp. 111281-111281
Open Access
Enhancing Schizophrenia Diagnosis Through Multi-View EEG Analysis: Integrating Raw Signals and Spectrograms in a Deep Learning Framework
Hasan Zan
Clinical EEG and Neuroscience (2025)
Closed Access
A Greedy Optimized Intelligent Framework for Early Detection of Alzheimer’s Disease Using EEG Signal
R. Swarnalatha
Computational Intelligence and Neuroscience (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 9
Dynamically stabilized recurrent neural network optimized with Artificial Gorilla Troops espoused Alzheimer’s disorder detection using EEG signals
G. Sudha, N. Saravanan, M. Muthalakshmi, et al.
Health Information Science and Systems (2024) Vol. 12, Iss. 1
Closed Access | Times Cited: 3
EEG Data Analysis Techniques for Precision Removal and Enhanced Alzheimer’s Diagnosis: Focusing on Fuzzy and Intuitionistic Fuzzy Logic Techniques
Mario Versaci, Fabio La Foresta
Signals (2024) Vol. 5, Iss. 2, pp. 343-381
Open Access | Times Cited: 3
Brain functional connectivity based on phase lag index of electroencephalography for automated diagnosis of schizophrenia using residual neural networks
Hasan Polat
Journal of Applied Clinical Medical Physics (2023) Vol. 24, Iss. 7
Open Access | Times Cited: 8
Developing a Deep Learning Based Approach for Anomalies Detection from EEG Data
Ashik Mostafa Alvi, Siuly Siuly, Hua Wang
Lecture notes in computer science (2021), pp. 591-602
Closed Access | Times Cited: 11
Data Mining Based Artificial Intelligent Technique for Identifying Abnormalities from Brain Signal Data
Md. Nurul Ahad Tawhid, Siuly Siuly, Kate Wang, et al.
Lecture notes in computer science (2021), pp. 198-206
Closed Access | Times Cited: 10
Future Perspectives for Automated Neurodegenerative Disorders Diagnosis: Challenges and Possible Research Directions
Attuluri Vamsi Kumar, Sunil Kumar, Vivek Kumar Garg, et al.
Cognitive technologies (2023), pp. 255-267
Closed Access | Times Cited: 3
Deep Learning Technologies for Time Series Anomaly Detection in Healthcare: A Review
Xue Yang, Xuejun Qi, Xiaobo Zhou
IEEE Access (2023) Vol. 11, pp. 117788-117799
Open Access | Times Cited: 3
DRAM-Net: A Deep Residual Alzheimer’s Diseases and Mild Cognitive Impairment Detection Network Using EEG Data
Ashik Mostafa Alvi, Siuly Siuly, Maria Cristina De Cola, et al.
Lecture notes in computer science (2022), pp. 42-53
Closed Access | Times Cited: 5
Anisotropic Diffusion-based Analog CNN Architecture for Continuous EEG Monitoring
Khizar Anjum, Dario Pompili
2022 IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems (MASS) (2023), pp. 195-203
Closed Access | Times Cited: 2
Incorporating geometry knowledge into an incremental learning structure for few-shot intent recognition
Xin Zhang, Miao Jiang, Honghui Chen, et al.
Knowledge-Based Systems (2022) Vol. 251, pp. 109296-109296
Closed Access | Times Cited: 4
Review of electric vehicles' charging data anomaly detection based on deep learning
Qi Feng, Hengjie Li, Yun Zhou, et al.
2022 Power System and Green Energy Conference (PSGEC) (2022), pp. 337-341
Closed Access | Times Cited: 4
Challenges in Electroencephalography Data Processing Using Machine Learning Approaches
Ashik Mostafa Alvi, Siuly Siuly, Hua Wang
Lecture notes in computer science (2022), pp. 177-184
Closed Access | Times Cited: 3
Doubled coupling for image emotion distribution learning
Huiyan Wu, Yonggang Huang, Guoshun Nan
Knowledge-Based Systems (2022) Vol. 260, pp. 110107-110107
Closed Access | Times Cited: 3
Deep machine learning for biosignal analysis
Pubudu Theekshana Thilakasiri Dissanayakage
(2024)
Open Access
Battery-Less Implantable Continuous EEG Monitoring via Anisotropic Diffusion
Khizar Anjum, Dario Pompili
IEEE Journal on Selected Areas in Communications (2024) Vol. 42, Iss. 8, pp. 2096-2107
Closed Access
Condition-Based Classification of EEG Signal With Pauli Test Stimuli and Social Media Content Using Discrete Wavelet Transform
Ahmad Muammar Agusti, Intan Sari Areni, Wardi Wardi
(2024), pp. 119-123
Closed Access
Stacked ensemble machine learning approach for electroencephalography based major depressive disorder classification using temporal statistics
N. Ahmed, Tejas Kadengodlu Bhat, Omkar S Powar
Systems Science & Control Engineering (2024) Vol. 12, Iss. 1
Open Access
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