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:

A 3D-convolutional neural network framework with ensemble learning techniques for multi-modal emotion recognition
Elham S. Salama, Reda A. El-Khoribi, Mahmoud Shoman, et al.
Egyptian Informatics Journal (2020) Vol. 22, Iss. 2, pp. 167-176
Open Access | Times Cited: 88

Showing 1-25 of 88 citing articles:

Multimodal Emotion Recognition using Deep Learning
Sharmeen M.Saleem Abdullah Abdullah, Siddeeq Y. Ameen, Mohammed A. M. Sadeeq, et al.
Journal of Applied Science and Technology Trends (2021) Vol. 2, Iss. 01, pp. 73-79
Open Access | Times Cited: 220

Automated emotion recognition: Current trends and future perspectives
M. Maithri, U. Raghavendra, Anjan Gudigar, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 215, pp. 106646-106646
Closed Access | Times Cited: 118

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: 79

Emotion Recognition Using Different Sensors, Emotion Models, Methods and Datasets: A Comprehensive Review
Yujian Cai, Xingguang Li, Jinsong Li
Sensors (2023) Vol. 23, Iss. 5, pp. 2455-2455
Open Access | Times Cited: 61

Using transformers for multimodal emotion recognition: Taxonomies and state of the art review
Samira Hazmoune, Fateh Bougamouza
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108339-108339
Closed Access | Times Cited: 20

Machine learning for human emotion recognition: a comprehensive review
Eman M. G. Younis, Someya Mohsen, Essam H. Houssein, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 16, pp. 8901-8947
Open Access | Times Cited: 11

A novel concatenated 1D-CNN model for speech emotion recognition
T. Mary Little Flower, T. Jaya
Biomedical Signal Processing and Control (2024) Vol. 93, pp. 106201-106201
Closed Access | Times Cited: 10

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: 10

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

Wearables for Engagement Detection in Learning Environments: A Review
Maritza Bustos-López, Nicandro Cruz-Ramírez, Alejandro Guerra‐Hernández, et al.
Biosensors (2022) Vol. 12, Iss. 7, pp. 509-509
Open Access | Times Cited: 31

Contextualized Multidimensional Personality Recognition using Combination of Deep Neural Network and Ensemble Learning
Fatemeh Mohades Deilami, Hossein Sadr, Morteza Tarkhan
Neural Processing Letters (2022) Vol. 54, Iss. 5, pp. 3811-3828
Closed Access | Times Cited: 30

Where Deepfakes Gaze at? Spatial-Temporal Gaze Inconsistency Analysis for Video Face Forgery Detection
Chunlei Peng, Zimin Miao, Decheng Liu, et al.
IEEE Transactions on Information Forensics and Security (2024) Vol. 19, pp. 4507-4517
Closed Access | Times Cited: 8

A multimodal emotion recognition model integrating speech, video and MoCAP
Ning Jia, Chunjun Zheng, Wei Sun
Multimedia Tools and Applications (2022) Vol. 81, Iss. 22, pp. 32265-32286
Closed Access | Times Cited: 26

Emotion recognition in EEG signals using the continuous wavelet transform and CNNs
Oscar Almanza-Conejo, Dora-Luz Almanza-Ojeda, Jose Luis Contreras-Hernandez, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 2, pp. 1409-1422
Closed Access | Times Cited: 26

RETRACTED ARTICLE: A review of Deep Learning based methods for Affect Analysis using Physiological Signals
Divya Garg, Gyanendra K. Verma, Awadhesh Kumar Singh
Multimedia Tools and Applications (2023) Vol. 82, Iss. 17, pp. 26089-26134
Closed Access | Times Cited: 13

A Systematic Review on Emotion Recognition System Using Physiological Signals: Data Acquisition and Methodology
K. Tawsif, Nor Azlina Ab. Aziz, J. Emerson Raja, et al.
Emerging Science Journal (2022) Vol. 6, Iss. 5, pp. 1167-1198
Open Access | Times Cited: 21

A Novel Approach for Emotion Recognition Based on EEG Signal Using Deep Learning
Awf Abdulrahman, Muhammet Baykara, Talha Burak Alakuş
Applied Sciences (2022) Vol. 12, Iss. 19, pp. 10028-10028
Open Access | Times Cited: 21

A Systematic Review of Machine Learning Models in Mental Health Analysis Based on Multi-Channel Multi-Modal Biometric Signals
Jolly Ehiabhi, Haifeng Wang
BioMedInformatics (2023) Vol. 3, Iss. 1, pp. 193-219
Open Access | Times Cited: 11

Emotion Detection Using Natural Language Processing by Text Classification
Jyoti Jayal, Vijay Kumar, Paramita Sarkar, et al.
(2025), pp. 425-442
Closed Access

Application of Transfer Learning for Biomedical Signals: A Comprehensive Review of the Last Decade (2014-2024)
Mahboobeh Jafari, Xiaohui Tao, Prabal Datta Barua, et al.
Information Fusion (2025) Vol. 118, pp. 102982-102982
Open Access

Deep Learning-Based Smart Invigilation System for Enhanced Exam Integrity
A. Saravanan
Proceedings of Engineering and Technology Innovation (2025) Vol. 29, pp. 99-115
Open Access

An Assessment of In-the-Wild Datasets for Multimodal Emotion Recognition
Ana Aguilera, Diego Mellado, Felipe Rojas
Sensors (2023) Vol. 23, Iss. 11, pp. 5184-5184
Open Access | Times Cited: 10

A Review of Human Emotion Recognition Using Various Sensors and Techniques
Shruti G. Taley, M. A. Pund
Advances in Science, Technology & Innovation/Advances in science, technology & innovation (2025), pp. 231-235
Closed Access

Gated Cross-Modal Fusion Mechanism for Audio-Video-based Emotion Recognition
Himanshu Kumar, Martin Aruldoss
Engineering Technology & Applied Science Research (2025) Vol. 15, Iss. 2, pp. 20835-20841
Open Access

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