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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:

Automated classification of pain perception using high-density electroencephalography data
Gaurav Misra, Wei‐en Wang, Derek B. Archer, et al.
Journal of Neurophysiology (2016) Vol. 117, Iss. 2, pp. 786-795
Open Access | Times Cited: 72

Showing 1-25 of 72 citing articles:

Role of the Prefrontal Cortex in Pain Processing
Wei‐Yi Ong, Christian S. Stohler, Deron R. Herr
Molecular Neurobiology (2018) Vol. 56, Iss. 2, pp. 1137-1166
Open Access | Times Cited: 565
Automatic Recognition Methods Supporting Pain Assessment: A Survey
Philipp Werner, Daniel Lopez-Martinez, Steffen Walter, et al.
IEEE Transactions on Affective Computing (2019) Vol. 13, Iss. 1, pp. 530-552
Open Access | Times Cited: 181
Machine learning in pain research
Jörn Lötsch, Alfred Ultsch
Pain (2017) Vol. 159, Iss. 4, pp. 623-630
Open Access | Times Cited: 180
Resting-state electroencephalography (EEG) biomarkers of chronic neuropathic pain. A systematic review
Thibaut Mussigmann, Benjamin Bardel, Jean‐Pascal Lefaucheur
NeuroImage (2022) Vol. 258, pp. 119351-119351
Open Access | Times Cited: 78
Artificial Intelligence for Automatic Pain Assessment: Research Methods and Perspectives
Marco Cascella, Daniela Schiavo, Arturo Cuomo, et al.
Pain Research and Management (2023) Vol. 2023, pp. 1-13
Open Access | Times Cited: 47
Neuroimaging-based biomarkers for pain: state of the field and current directions
Maite M. van der Miesen, Martin A. Lindquist, Tor D. Wager
PAIN Reports (2019) Vol. 4, Iss. 4, pp. e751-e751
Open Access | Times Cited: 120
Gamma-band oscillations of pain and nociception: A systematic review and meta-analysis of human and rodent studies
Zhenjiang Li, Libo Zhang, Yuxuan Zeng, et al.
Neuroscience & Biobehavioral Reviews (2023) Vol. 146, pp. 105062-105062
Closed Access | Times Cited: 31
A systematic review of neurophysiological sensing for the assessment of acute pain
Raul Fernandez Rojas, Nicholas A. T. Brown, Gordon Waddington, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 23
Electroencephalography and magnetoencephalography in pain research—current state and future perspectives
Markus Ploner, Elisabeth S. May
Pain (2017) Vol. 159, Iss. 2, pp. 206-211
Closed Access | Times Cited: 83
Quantifying and Characterizing Tonic Thermal Pain Across Subjects From EEG Data Using Random Forest Models
Vishal Vijayakumar, Michelle Case, Sina Shirinpour, et al.
IEEE Transactions on Biomedical Engineering (2017) Vol. 64, Iss. 12, pp. 2988-2996
Open Access | Times Cited: 72
Artificial intelligence for image interpretation in ultrasound‐guided regional anaesthesia
James Bowness, Kariem El‐Boghdadly, David Burckett-St Laurent
Anaesthesia (2020) Vol. 76, Iss. 5, pp. 602-607
Open Access | Times Cited: 64
Neural Oscillations: Understanding a Neural Code of Pain
Junseok A. Kim, Karen D. Davis
The Neuroscientist (2020) Vol. 27, Iss. 5, pp. 544-570
Closed Access | Times Cited: 58
Scalp EEG-Based Pain Detection Using Convolutional Neural Network
Duo Chen, Haihong Zhang, Perumpadappil Thomas Kavitha, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 274-285
Open Access | Times Cited: 30
Development of a binary classifier model from extended facial codes toward video-based pain recognition in cancer patients
Marco Cascella, Vincenzo Norman Vitale, Fábio Edson Mariani, et al.
Scandinavian Journal of Pain (2023) Vol. 23, Iss. 4, pp. 638-645
Closed Access | Times Cited: 16
Pain phenotypes classified by machine learning using electroencephalography features
Joshua Levitt, Muhammad Muzzammil Edhi, Ryan Thorpe, et al.
NeuroImage (2020) Vol. 223, pp. 117256-117256
Open Access | Times Cited: 45
Neural response associated with the modulation of temporal summation of second pain by affective touch
Elley Wakui, Fabrizia Fidanza, Matteo Martini
Journal of Pain (2025) Vol. 29, pp. 105349-105349
Open Access
Physiological Sensor Modality Sensitivity Test for Pain Intensity Classification in Quantitative Sensory Testing
Wenchao Zhu, Yingzi Lin
Sensors (2025) Vol. 25, Iss. 7, pp. 2086-2086
Open Access
Nociception and the neonatal brain
Deniz Gursul, Caroline Hartley, Rebeccah Slater
Seminars in Fetal and Neonatal Medicine (2019) Vol. 24, Iss. 4, pp. 101016-101016
Open Access | Times Cited: 38
A novel channel selection approach for human neonate’s pain EEG data analysis
Safa Talebi, Javad Frounchi, Behzad Mozaffari Tazehkand
Signal Image and Video Processing (2025) Vol. 19, Iss. 5
Closed Access
Metabolite activity in the anterior cingulate cortex during a painful stimulus using functional MRS
Jessica Archibald, Erin L. MacMillan, Carina Graf, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 29
In search of a composite biomarker for chronic pain by way of EEG and machine learning: where do we currently stand?
Mika M. Rockholt, George Kenefati, Lisa Doan, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 9
Altered Neuromagnetic Activity in the Default Mode Network in Migraine and Its Subgroups (Episodic Migraine and Chronic Migraine)
Xiaofang Zhang, Fengyuan Xu, Di Wu, et al.
Journal of Integrative Neuroscience (2024) Vol. 23, Iss. 1, pp. 19-19
Open Access | Times Cited: 3
EEG changes reflecting pain: is alpha suppression better than gamma enhancement?
Florian Chouchou, C. Perchet, L. García‐Larrea
Neurophysiologie Clinique (2021) Vol. 51, Iss. 3, pp. 209-218
Open Access | Times Cited: 20
Changes in alpha, theta, and gamma oscillations in distinct cortical areas are associated with altered acute pain responses in chronic low back pain patients
George Kenefati, Mika M. Rockholt, Deborah Ok, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 8
Systematic Review of the Effectiveness of Machine Learning Algorithms for Classifying Pain Intensity, Phenotype or Treatment Outcomes Using Electroencephalogram Data
Tyler Mari, J.R. Henderson, Michelle Maden, et al.
Journal of Pain (2021) Vol. 23, Iss. 3, pp. 349-369
Open Access | Times Cited: 19
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