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:
Advancements in EEG Emotion Recognition: Leveraging Multi-Modal Database Integration
Ahmed Roshdy, Abdullah S. Karar, Samer Al Kork, et al.
Applied Sciences (2024) Vol. 14, Iss. 6, pp. 2487-2487
Open Access | Times Cited: 7
Ahmed Roshdy, Abdullah S. Karar, Samer Al Kork, et al.
Applied Sciences (2024) Vol. 14, Iss. 6, pp. 2487-2487
Open Access | Times Cited: 7
Showing 7 citing articles:
Multimodal Emotion Recognition Using Visual, Vocal and Physiological Signals: A Review
Gustave Udahemuka, Karim Djouani, Anish Kurien
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 8071-8071
Open Access | Times Cited: 5
Gustave Udahemuka, Karim Djouani, Anish Kurien
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 8071-8071
Open Access | Times Cited: 5
A novel lightweight dynamic focusing convolutional neural network LAND-FCNN for EEG emotion recognition
Shuo Zhai, Xiaoliang Guo
Measurement (2024) Vol. 234, pp. 114862-114862
Closed Access | Times Cited: 3
Shuo Zhai, Xiaoliang Guo
Measurement (2024) Vol. 234, pp. 114862-114862
Closed Access | Times Cited: 3
Not in My Face: Challenges and Ethical Considerations in Automatic Face Emotion Recognition Technology
Martina Mattioli, Federico Cabitza
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 4, pp. 2201-2231
Open Access | Times Cited: 3
Martina Mattioli, Federico Cabitza
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 4, pp. 2201-2231
Open Access | Times Cited: 3
Emotion Detection from EEG Signals Using Machine Deep Learning Models
João Vitor Marques Rabelo Fernandes, Auzuir Ripardo de Alexandria, João Alexandre Lôbo Marques, et al.
Bioengineering (2024) Vol. 11, Iss. 8, pp. 782-782
Open Access | Times Cited: 1
João Vitor Marques Rabelo Fernandes, Auzuir Ripardo de Alexandria, João Alexandre Lôbo Marques, et al.
Bioengineering (2024) Vol. 11, Iss. 8, pp. 782-782
Open Access | Times Cited: 1
An Audiovisual Correlation Matching Method Based on Fine-Grained Emotion and Feature Fusion
Zhibin Su, Yiming Feng, Jinyu Liu, et al.
Sensors (2024) Vol. 24, Iss. 17, pp. 5681-5681
Open Access | Times Cited: 1
Zhibin Su, Yiming Feng, Jinyu Liu, et al.
Sensors (2024) Vol. 24, Iss. 17, pp. 5681-5681
Open Access | Times Cited: 1
A novel multimodal EEG-image fusion approach for emotion recognition: introducing a multimodal KMED dataset
Bahar Hatipoğlu Yılmqz, Cemal Köse, Çağatay Murat Yılmaz
Neural Computing and Applications (2024)
Closed Access | Times Cited: 1
Bahar Hatipoğlu Yılmqz, Cemal Köse, Çağatay Murat Yılmaz
Neural Computing and Applications (2024)
Closed Access | Times Cited: 1
Integrating Heart Rate, Gyro, and Accelero Data for Enhanced Emotion Detection Post-Movie, Post-Music, and While-Music
Hendy Setyawan, Rifki Wijaya, Gamma Kosala
JURNAL MEDIA INFORMATIKA BUDIDARMA (2024) Vol. 8, Iss. 2, pp. 1141-1141
Open Access
Hendy Setyawan, Rifki Wijaya, Gamma Kosala
JURNAL MEDIA INFORMATIKA BUDIDARMA (2024) Vol. 8, Iss. 2, pp. 1141-1141
Open Access
