Open Access Helper

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:

Cross-Subject Multimodal Emotion Recognition Based on Hybrid Fusion
Yücel Çimtay, Erhan Ekmekcioǧlu, Seyma Caglar‐Ozhan
IEEE Access (2020) Vol. 8, pp. 168865-168878
Open Access | Times Cited: 129

Showing 1-25 of 129 citing articles:

Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations
Smith K. Khare, Victoria Blanes‐Vidal, Esmaeil S. Nadimi, et al.
Information Fusion (2023) Vol. 102, pp. 102019-102019
Open Access | Times Cited: 116
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
Emotion recognition in EEG signals using deep learning methods: A review
Mahboobeh Jafari, Afshin Shoeibi, Marjane Khodatars, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107450-107450
Open Access | Times Cited: 74
A Review on Methods and Applications in Multimodal Deep Learning
Jabeen Summaira, Xi Li, Muhammad Shoib Amin, et al.
ACM Transactions on Multimedia Computing Communications and Applications (2022) Vol. 19, Iss. 2s, pp. 1-41
Open Access | Times Cited: 69
Emotion recognition from unimodal to multimodal analysis: A review
Kaouther Ezzameli, Hela Mahersia
Information Fusion (2023) Vol. 99, pp. 101847-101847
Closed Access | Times Cited: 64
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 novel facial emotion recognition model using segmentation VGG-19 architecture
S. Vignesh, M. Savithadevi, M. Srıdevı, et al.
International Journal of Information Technology (2023) Vol. 15, Iss. 4, pp. 1777-1787
Closed Access | Times Cited: 43
A Review of Key Technologies for Emotion Analysis Using Multimodal Information
Xianxun Zhu, Chaopeng Guo, Heyang Feng, et al.
Cognitive Computation (2024) Vol. 16, Iss. 4, pp. 1504-1530
Closed Access | Times Cited: 19
Emotion Recognition from EEG Signals Using Advanced Transformations and Deep Learning
Jonathan Axel Cruz-Vazquez, J. Yaljá Montiel-Pérez, Rodolfo Romero Herrera, et al.
Mathematics (2025) Vol. 13, Iss. 2, pp. 254-254
Open Access | Times Cited: 1
Multimodal Emotion Recognition Using a Hierarchical Fusion Convolutional Neural Network
Yong Zhang, Cheng Cheng, Yidie Zhang
IEEE Access (2021) Vol. 9, pp. 7943-7951
Open Access | Times Cited: 59
A Systematic Review on Multimodal Emotion Recognition: Building Blocks, Current State, Applications, and Challenges
Sepideh Kalateh, Luis A. Estrada-Jimenez, Sanaz Nikghadam-Hojjati, et al.
IEEE Access (2024) Vol. 12, pp. 103976-104019
Open Access | Times Cited: 12
Multimodal Emotion Recognition Using Bi-LG-GCN for MELD Dataset
Hussein Farooq Tayeb Al-Saadawi, Resul Daş
Balkan Journal of Electrical and Computer Engineering (2024) Vol. 12, Iss. 1, pp. 36-46
Open Access | Times Cited: 9
EEG-Based Multimodal Emotion Recognition: A Machine Learning Perspective
Huan Liu, Tianyu Lou, Yuzhe Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-29
Closed Access | Times Cited: 8
A Survey on Physiological Signal-Based Emotion Recognition
Zeeshan Ahmad, Naimul Khan
Bioengineering (2022) Vol. 9, Iss. 11, pp. 688-688
Open Access | Times Cited: 32
A Bimodal Emotion Recognition Approach through the Fusion of Electroencephalography and Facial Sequences
Farah Muhammad, Muhammad Hussain, Hatim Aboalsamh
Diagnostics (2023) Vol. 13, Iss. 5, pp. 977-977
Open Access | Times Cited: 18
Multimodality in online education: a comparative study
Praneeta Immadisetty, Pooja Rajesh, Akshita Gupta, et al.
Multimedia Tools and Applications (2025)
Open Access
Toward the Construction of Affective Brain-Computer Interface: A Systematic Review
Huayu Chen, Junxiang Li, Huanhuan He, et al.
ACM Computing Surveys (2025)
Closed Access
Multi-modal learning-based algae phyla identification using image and particle modalities
Do Hyuck Kwon, Min Jun Lee, Heewon Jeong, et al.
Water Research (2025) Vol. 275, pp. 123172-123172
Closed Access
Enhancing Turkish Music Emotion Prediction: A Comparative Analysis of Machine Learning Techniques
Siva Sai Susmitha Katta, Siva Kumar Katta, Junali Jasmine Jena, et al.
Communications in computer and information science (2025), pp. 43-52
Closed Access
A review on EEG-based multimodal learning for emotion recognition
Rajasekhar Pillalamarri, S. Udhayakumar
Artificial Intelligence Review (2025) Vol. 58, Iss. 5
Open Access
Self-attention-based 1DCNN model for multiclass EEG emotion classification
Satyam Raikwar, A. V. R. Mayuri
The Journal of Supercomputing (2025) Vol. 81, Iss. 4
Closed Access
Capsule neural networks on spatio-temporal EEG frames for cross-subject emotion recognition
Gopal Chandra Jana, Anshuman Sabath, Anupam Agrawal
Biomedical Signal Processing and Control (2021) Vol. 72, pp. 103361-103361
Closed Access | Times Cited: 39
Human emotion recognition based on brain signal analysis using fuzzy neural network
Mubarak Alruwaili, Raed AlRuwaili, U. Arun Kumar, et al.
Soft Computing (2023)
Closed Access | Times Cited: 12
A Hybrid Multimodal Emotion Recognition Framework for UX Evaluation Using Generalized Mixture Functions
Muhammad Asif Razzaq, Jamil Hussain, Jaehun Bang, et al.
Sensors (2023) Vol. 23, Iss. 9, pp. 4373-4373
Open Access | Times Cited: 12
Tools in Marketing Research: Exploring Emotional Responses to Stimuli
Ahmed H. Alsharif, Ahmad Khraiwish
Scientific Annals of Economics and Business (2024) Vol. 71, Iss. 2, pp. 173-192
Open Access | Times Cited: 4
Page 1 - Next Page

Scroll to top