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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:

Decoding Intracranial EEG With Machine Learning: A Systematic Review
Nykan Mirchi, Nebras M. Warsi, Frederick Zhang, et al.
Frontiers in Human Neuroscience (2022) Vol. 16
Open Access | Times Cited: 14

Showing 14 citing articles:

Machine Learning and Artificial Intelligence Applications to Epilepsy: a Review for the Practicing Epileptologist
Wesley T. Kerr, Katherine N. McFarlane
Current Neurology and Neuroscience Reports (2023) Vol. 23, Iss. 12, pp. 869-879
Closed Access | Times Cited: 20
A Systematic Review of Machine Learning Models in Mental Health Analysis Based on Multi-Channel Multi-Modal Biometric Signals
Jolly Ehiabhi, Haifeng Wang
BioMedInformatics (2023) Vol. 3, Iss. 1, pp. 193-219
Open Access | Times Cited: 11
Dynamic reconstruction of electroencephalogram data using RBF neural networks
Xuan Wang, Congcong Du, Xuebin Ke, et al.
Frontiers in Neuroscience (2025) Vol. 19
Open Access
The value of linear and non-linear quantitative EEG analysis in paediatric epilepsy surgery: a machine learning approach
Mattia Mercier, Chiara Pepi, Giusy Carfì Pavia, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
AI-enhanced EEG signal interpretation: A novel approach using texture analysis with random forests
Jovana Paunović, Svetlana Valjarević, Jelena Cumic, et al.
Medical Hypotheses (2024) Vol. 189, pp. 111405-111405
Closed Access | Times Cited: 2
Graph neural network based on brain inspired forward-forward mechanism for motor imagery classification in brain-computer interfaces
Qiwei Xue, Yuntao Song, Huapeng Wu, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 1
Machine Learning Algorithms for Neurosurgical Preoperative Planning: A Comprehensive Scoping Review
Jhon E. Bocanegra‐Becerra, Julia Sader Neves Ferreira, Gabriel Simoni, et al.
World Neurosurgery (2024)
Open Access | Times Cited: 1
Can Presurgical Interhemispheric EEG Connectivity Predict Outcome in Hemispheric Surgery? A Brain Machine Learning Approach
Chiara Pepi, Mattia Mercier, Giusy Carfì Pavia, et al.
Brain Sciences (2022) Vol. 13, Iss. 1, pp. 71-71
Open Access | Times Cited: 6
A Scalable Framework for Closed-Loop Neuromodulation with Deep Learning
Nigel Gebodh, Vladimir Miskovic, Sarah Laszlo, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Advancing Analytics of EEG Signals
FNU Ruchika, Durga Neupane, Siddharth Shah, et al.
Med Discoveries (2023) Vol. 2, Iss. 4
Closed Access | Times Cited: 2
Enhanced Glioma Disease Prediction Through Ensemble-Optimized Machine Learning
Sathya Prakash Sriramoju, Shilpee Srivastava
(2024), pp. 460-465
Closed Access
Machine Learning Algorithms for Neurosurgical Preoperative Planning: A Comprehensive Scoping Review of the Literature
Jhon E. Bocanegra‐Becerra, Julia Sader Neves Ferreira, Gabriel Simoni, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
ANN Model to Predict Religiosity Based on Social Online Behaviors and Personality Traits
Marta R. Jabłońska, Smruti Rekha Das
Communications in computer and information science (2023), pp. 138-146
Closed Access
The value of linear and non-linear quantitative EEG analysis in paediatric epilepsy surgery: a machine learning approach.
Mattia Mercier, Chiara Pepi, Giusy Carfì Pavia, et al.
Research Square (Research Square) (2023)
Open Access
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