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:

Virtual reality and machine learning in the automatic photoparoxysmal response detection
Fernando Moncada Martins, Sofía Martín, Víctor M. González, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 8, pp. 5643-5659
Open Access | Times Cited: 12

Showing 12 citing articles:

Neural Applications Using Immersive Virtual Reality: A Review on EEG Studies
Jin Woo Choi, Haram Kwon, Jae-Hoon Choi, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 1645-1658
Open Access | Times Cited: 31

Self-powered wearable Internet of Things sensors for human-machine interfaces: A systematic literature review and science mapping analysis
Qihan Jiang, Maxwell Fordjour Antwi‐Afari, Sina Fadaie, et al.
Nano Energy (2024), pp. 110252-110252
Open Access | Times Cited: 7

Data Augmentation Effects on Highly Imbalanced EEG Datasets for Automatic Detection of Photoparoxysmal Responses
Fernando Moncada Martins, Víctor M. González, José R. Villar, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 2312-2312
Open Access | Times Cited: 15

Biomarkers of Immersion in Virtual Reality Based on Features Extracted from the EEG Signals: A Machine Learning Approach
Hamed Tadayyoni, Michael S. Ramirez Campos, Álvaro Uribe-Quevedo, et al.
Brain Sciences (2024) Vol. 14, Iss. 5, pp. 470-470
Open Access | Times Cited: 2

Neuropsychological and Neurophysiological Mechanisms behind Flickering Light Stimulus Processing
Natalia D. Mankowska, Małgorzata Grzywińska, Paweł J. Winklewski, et al.
Biology (2022) Vol. 11, Iss. 12, pp. 1720-1720
Open Access | Times Cited: 9

A Machine Learning Approach to Classifying EEG Data Collected with or without Haptic Feedback during a Simulated Drilling Task
Michael S. Ramirez Campos, Heather S. McCracken, Álvaro Uribe-Quevedo, et al.
Brain Sciences (2024) Vol. 14, Iss. 9, pp. 894-894
Open Access | Times Cited: 1

Enhancing Learning Through the Unity Virtual Reality Platform: Analyzing and Classifying Learner Profiles
Ghalia Mdaghri-Alaoui, Abdelhamid Zouhair, El Mokhtar En-Naimi
Lecture notes in networks and systems (2024), pp. 58-68
Closed Access

International Guidelines for Photosensitive Epilepsy: Gap Analysis and Recommendations
J. Bern Jordan, Gregg Vanderheiden
ACM Transactions on Accessible Computing (2024) Vol. 17, Iss. 3, pp. 1-35
Closed Access

Batch-Balancing Improvement with Data Augmentation Techniques for Clinical Electroencephalographic Data
David Fernández-Madera González, Fernando Moncada Martins, Víctor M. González, et al.
Lecture notes in computer science (2024), pp. 16-28
Closed Access

A Comparison of Machine Learning Techniques for the Detection of Type-4 PhotoParoxysmal Responses in Electroencephalographic Signals
Fernando Moncada Martins, Víctor M. González, Beatriz García López, et al.
Lecture notes in computer science (2022), pp. 3-13
Closed Access | Times Cited: 2

Analysis of Frequency Bands in Electroencephalograms for Automatic Detection of Photoparoxysmal Responses
Fernando Moncada Martins, Víctor M. González, José R. Villar, et al.
Lecture notes in computer science (2023), pp. 743-754
Closed Access

Computational-based biomarkers for mental and emotional health
José R. Villar, Ainhoa Yera, Beatriz López
Neural Computing and Applications (2022) Vol. 35, Iss. 8, pp. 5601-5602
Open Access

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