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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:

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

Showing 1-25 of 91 citing articles:

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
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: 18
AI‐Based Emotion Detection System in Healthcare for Patient
Ati Jain, Ankur Jain
(2025), pp. 455-470
Closed Access | Times Cited: 1
Multimodal Emotion Detection via Attention-Based Fusion of Extracted Facial and Speech Features
Dilnoza Mamieva, Akmalbek Abdusalomov, Alpamis Kutlimuratov, et al.
Sensors (2023) Vol. 23, Iss. 12, pp. 5475-5475
Open Access | Times Cited: 29
A survey of multimodal hybrid deep learning for computer vision: Architectures, applications, trends, and challenges
Khaled Bayoudh
Information Fusion (2023) Vol. 105, pp. 102217-102217
Closed Access | Times Cited: 29
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
Exploring contactless techniques in multimodal emotion recognition: insights into diverse applications, challenges, solutions, and prospects
Umair Ali Khan, Qianru Xu, Yang Liu, et al.
Multimedia Systems (2024) Vol. 30, Iss. 3
Open Access | Times Cited: 7
Affective Computing and the Road to an Emotionally Intelligent Metaverse
Farrukh Pervez, Moazzam Shoukat, Muhammad Usama, et al.
IEEE Open Journal of the Computer Society (2024) Vol. 5, pp. 195-214
Open Access | Times Cited: 6
A systematic review of trimodal affective computing approaches: Text, audio, and visual integration in emotion recognition and sentiment analysis
Hussein Farooq Tayeb Al-Saadawi, Bihter Daş, Resul Daş
Expert Systems with Applications (2024) Vol. 255, pp. 124852-124852
Closed Access | Times Cited: 6
Comprehensive review and comparative analysis of transformer models in sentiment analysis
Hadis Bashiri, Hassan Naderi
Knowledge and Information Systems (2024)
Closed Access | Times Cited: 5
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
Efficient audio-visual emotion recognition approach
Areej Alasiry, Majd Mohammed Al-Hussain, Monia Turki-Hadj Alouane, et al.
Multimedia Tools and Applications (2025)
Closed Access
Research Challenges Along the Data Analysis Chain for Emotional AI
Elena Vildjiounaite, Julia Kantorovitch, Johanna Kallio, et al.
Law, governance and technology series (2025), pp. 31-48
Closed Access
High-order similarity learning based domain adaptation for speech emotion recognition
Hao Wang, Y. Y. Ji, Peng Song, et al.
Applied Acoustics (2025) Vol. 231, pp. 110555-110555
Closed Access
Book Topic and Emotion Classification by Child Readers in a Library in Taiwan
Ko-Chiu Wu, Tzu‐Heng Chiu, Chun-Ching Chen, et al.
International Journal of Human-Computer Interaction (2025), pp. 1-27
Closed Access
Decoding emotions through personalized multi-modal fNIRS-EEG Systems: Exploring deterministic fusion techniques
Alireza Farrokhi Nia, Vanessa Tang, Gonzalo D. Maso Talou, et al.
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107632-107632
Open Access
Deep multimodal emotion recognition using modality-aware attention and proxy-based multimodal loss
Sungpil Woo, Muhammad Zubair, Sunhwan Lim, et al.
Internet of Things (2025) Vol. 31, pp. 101562-101562
Open Access
A neural approach to the Turing Test: The role of emotions
Rita Pizzi, Hao Quan, Matteo Matteucci, et al.
Neural Networks (2025), pp. 107362-107362
Closed Access
Multimodal Emotion Recognition via Convolutional Neural Networks: Comparison of different strategies on two multimodal datasets
Umberto Bilotti, Carmen Bisogni, Maria De Marsico, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107708-107708
Open Access | Times Cited: 12
Layer-wise Fusion with Modality Independence Modeling for Multi-modal Emotion Recognition
Jun Sun, Shoukang Han, Yu-Ping Ruan, et al.
(2023)
Open Access | Times Cited: 10
Introduction to Emotion Detection and Predictive Psychology in the Age of Technology
Vaibhav Vasani, Umesh Chandra, Gayatri Sahu, et al.
Advances in psychology, mental health, and behavioral studies (APMHBS) book series (2024), pp. 1-16
Closed Access | Times Cited: 3
Artificial Intelligence in Emotion Quantification : A Prospective Overview
Feng Liu
CAAI Artificial Intelligence Research (2024), pp. 9150040-9150040
Open Access | Times Cited: 3
MMFN: Emotion recognition by fusing touch gesture and facial expression information
Yunkai Li, Qing‐Hao Meng, Yaxin Wang, et al.
Expert Systems with Applications (2023) Vol. 228, pp. 120469-120469
Closed Access | Times Cited: 9
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: 9
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