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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:

EEG channel selection strategy for deep learning in emotion recognition
Aleksandra Dura, Agnieszka Wosiak
Procedia Computer Science (2021) Vol. 192, pp. 2789-2796
Open Access | Times Cited: 12

Showing 12 citing articles:

A Survey on EEG-Based Solutions for Emotion Recognition With a Low Number of Channels
Andrea Apicella, Pasquale Arpaïa, Francesco Isgrò, et al.
IEEE Access (2022) Vol. 10, pp. 117411-117428
Open Access | Times Cited: 26
Optimizing 1D-CNN-Based Emotion Recognition Process through Channel and Feature Selection from EEG Signals
Haya Aldawsari, Saad Al-Ahmadi, Farah Muhammad
Diagnostics (2023) Vol. 13, Iss. 16, pp. 2624-2624
Open Access | Times Cited: 13
Feature Pyramid Networks and Long Short-Term Memory for EEG Feature Map-Based Emotion Recognition
Xiaodan Zhang, Yige Li, Jinxiang Du, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1622-1622
Open Access | Times Cited: 10
Real-time EEG-based emotion recognition for neurohumanities: perspectives from principal component analysis and tree-based algorithms
Miguel Alejandro Blanco-Ríos, Milton Osiel Candela-Leal, Cecilia Orozco-Romo, et al.
Frontiers in Human Neuroscience (2024) Vol. 18
Open Access | Times Cited: 2
Interactive multi-agent convolutional broad learning system for EEG emotion recognition
Shuiling Shi, Wenqi Liu
Expert Systems with Applications (2024), pp. 125420-125420
Open Access | Times Cited: 1
Discrete to Continuous Algorithm for Optimal Channel Selection to Detect Alcoholism through EEG Recordings
Hayat Sedrati, Hayat Sedrati, Wajih Rhalem, et al.
Journal of Computer Science (2023) Vol. 19, Iss. 1, pp. 126-144
Open Access | Times Cited: 2
Unsupervised emotional state recognition based on clustering of EEG features
Aleksandra Dura, Agnieszka Wosiak
Procedia Computer Science (2022) Vol. 207, pp. 3093-3102
Open Access | Times Cited: 4
VR-oriented EEG signal classification of motor imagery tasks
Stanisław Zakrzewski, Bartłomiej Stasiak, Tomasz Klepaczka, et al.
Human Technology (2022) Vol. 18, Iss. 1, pp. 29-44
Open Access | Times Cited: 3
Improving Automatic Recognition of Emotional States Using EEG Data Augmentation Techniques
Patrycja Szczakowska, Agnieszka Wosiak, Katarzyna żykwińska
Procedia Computer Science (2023) Vol. 225, pp. 4225-4234
Open Access | Times Cited: 1
Alcoholism Detection in EEG Signals using GLCM-Based Texture Analysis of Image-Converted Signals
Achmad Rizal, Inung Wijayanto, Istiqomah Istiqomah
2022 5th International Conference on Information and Communications Technology (ICOIACT) (2023), pp. 275-279
Closed Access | Times Cited: 1
Collecting Brainwave Signals Using IoT and Analyze Human Emotions
Xuan-Bach Nguyen-Duy, Khiem Nguyen-Thanh, Anh‐Vu Dinh‐Duc
2022 RIVF International Conference on Computing and Communication Technologies (RIVF) (2022), pp. 6-10
Closed Access | Times Cited: 2
Deep LearningBased Emotion Detection from EEG Signals for HumanMachineInteraction
S. Albert Antony Raj, Nitin N. Sakhare, Yogesh Sharma, et al.
(2023), pp. 1-6
Closed Access
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