OpenAlex Citation Counts

OpenAlex Citations Logo

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-based emotion recognition: Review of commercial EEG devices and machine learning techniques
Didar Dadebayev, Wei Wei Goh, Ee Xion Tan
Journal of King Saud University - Computer and Information Sciences (2021) Vol. 34, Iss. 7, pp. 4385-4401
Open Access | Times Cited: 114

Showing 1-25 of 114 citing articles:

EEG Based Emotion Recognition: A Tutorial and Review
Xiang Li, Yazhou Zhang, Prayag Tiwari, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 4, pp. 1-57
Open Access | Times Cited: 227

Past, Present, and Future of EEG-Based BCI Applications
Kaido Värbu, Naveed Muhammad, Yar Muhammad
Sensors (2022) Vol. 22, Iss. 9, pp. 3331-3331
Open Access | Times Cited: 138

Measuring and Computing Cognitive Statuses of Construction Workers Based on Electroencephalogram: A Critical Review
Baoquan Cheng, Chaojie Fan, Hanliang Fu, et al.
IEEE Transactions on Computational Social Systems (2022) Vol. 9, Iss. 6, pp. 1644-1659
Closed Access | Times Cited: 104

A systematic survey on multimodal emotion recognition using learning algorithms
Naveed Ahmed, Zaher Al Aghbari, Shini Girija
Intelligent Systems with Applications (2023) Vol. 17, pp. 200171-200171
Open Access | Times Cited: 91

Multimodal Emotion Recognition with Deep Learning: Advancements, challenges, and future directions
Geetha Vijayaraghavan, T. Mala, Das P, et al.
Information Fusion (2023) Vol. 105, pp. 102218-102218
Closed Access | Times Cited: 51

A systematic review on automated human emotion recognition using electroencephalogram signals and artificial intelligence
Raveendrababu Vempati, Lakhan Dev Sharma
Results in Engineering (2023) Vol. 18, pp. 101027-101027
Open Access | Times Cited: 44

Exploring Convolutional Neural Network Architectures for EEG Feature Extraction
Ildar Rakhmatulin, Minh-Son Dao, Amir Nassibi, et al.
Sensors (2024) Vol. 24, Iss. 3, pp. 877-877
Open Access | Times Cited: 22

A scoping review on the use of consumer-grade EEG devices for research
Joshua Sabio, Nikolas Williams, Genevieve McArthur, et al.
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0291186-e0291186
Open Access | Times Cited: 15

Advances in Neuroimaging and Deep Learning for Emotion Detection: A Systematic Review of Cognitive Neuroscience and Algorithmic Innovations
Constantinos Halkiopoulos, Evgenia Gkintoni, Anthimos Aroutzidis, et al.
Diagnostics (2025) Vol. 15, Iss. 4, pp. 456-456
Open Access | Times Cited: 3

Recognising situation awareness associated with different workloads using EEG and eye-tracking features in air traffic control tasks
Qinbiao Li, Kam K.H. Ng, S. C. M. Yu, et al.
Knowledge-Based Systems (2022) Vol. 260, pp. 110179-110179
Closed Access | Times Cited: 45

Bringing nature into hospital architecture: Machine learning-based EEG analysis of the biophilia effect in virtual reality
Dawoon Jung, Da In Kim, Nayeon Kim
Journal of Environmental Psychology (2023) Vol. 89, pp. 102033-102033
Open Access | Times Cited: 36

Application of Artificial Intelligence Techniques for Brain–Computer Interface in Mental Fatigue Detection: A Systematic Review (2011–2022)
Hamwira Yaacob, Farhad Hossain, Sharunizam Shari, et al.
IEEE Access (2023) Vol. 11, pp. 74736-74758
Open Access | Times Cited: 31

TorchEEGEMO: A deep learning toolbox towards EEG-based emotion recognition
Zhi Zhang, Sheng-hua Zhong, Yan Liu
Expert Systems with Applications (2024) Vol. 249, pp. 123550-123550
Closed Access | Times Cited: 8

Lobish: Symbolic Language for Interpreting Electroencephalogram Signals in Language Detection Using Channel-Based Transformation and Pattern
Türker Tuncer, Şengül Doğan, İrem Taşçı, et al.
Diagnostics (2024) Vol. 14, Iss. 17, pp. 1987-1987
Open Access | Times Cited: 8

A Transformer Convolutional Network With the Method of Image Segmentation for EEG-Based Emotion Recognition
Xinyi Zhang, Xiankai Cheng
IEEE Signal Processing Letters (2024) Vol. 31, pp. 401-405
Closed Access | Times Cited: 7

Deep BiLSTM neural network model for emotion detection using cross-dataset approach
Vaishali M. Joshi, Rajesh Ghongade, Aditi Joshi, et al.
Biomedical Signal Processing and Control (2021) Vol. 73, pp. 103407-103407
Closed Access | Times Cited: 45

Emotion Recognition Using a Reduced Set of EEG Channels Based on Holographic Feature Maps
Ante Topic, Mladen Russo, Maja Stella, et al.
Sensors (2022) Vol. 22, Iss. 9, pp. 3248-3248
Open Access | Times Cited: 29

Online Learning for Wearable EEG-Based Emotion Classification
Sidratul Moontaha, Franziska Elisabeth Friederike Schumann, Bert Arnrich
Sensors (2023) Vol. 23, Iss. 5, pp. 2387-2387
Open Access | Times Cited: 15

EEG emotion recognition based on the TimesNet fusion model
Luyao Han, Xiangliang Zhang, Jibin Yin
Applied Soft Computing (2024) Vol. 159, pp. 111635-111635
Closed Access | Times Cited: 6

Mini review: Challenges in EEG emotion recognition
Zhihui Zhang, Josep Maria Fort Mir, Lluís Giménez Mateu
Frontiers in Psychology (2024) Vol. 14
Open Access | Times Cited: 5

A comprehensive review of deep learning in EEG-based emotion recognition: classifications, trends, and practical implications
Weizhi Ma, Yujia Zheng, Tianhao Li, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2065-e2065
Open Access | Times Cited: 5

Effective affective EEG-based indicators in emotion-evoking VR environments: an evidence from machine learning
Ivonne Angélica Castiblanco Jiménez, Elena Carlotta Olivetti, Enrico Vezzetti, et al.
Neural Computing and Applications (2024)
Open Access | Times Cited: 5

An EEG-Based Emotion Recognition Method by Fusing Multi-Frequency-Spatial Features Under Multi-Frequency Bands
Qiuyu Chen, Xiaoqian Mao, Yuebin Song, et al.
Journal of Neuroscience Methods (2025) Vol. 415, pp. 110360-110360
Closed Access

Page 1 - Next Page

Scroll to top