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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 Brief Review of Facial Emotion Recognition Based on Visual Information
Byoung Chul Ko
Sensors (2018) Vol. 18, Iss. 2, pp. 401-401
Open Access | Times Cited: 596

Showing 1-25 of 596 citing articles:

Artificial intelligence in the creative industries: a review
Nantheera Anantrasirichai, David Bull
Artificial Intelligence Review (2021) Vol. 55, Iss. 1, pp. 589-656
Open Access | Times Cited: 381
Extended deep neural network for facial emotion recognition
Deepak Kumar Jain, Pourya Shamsolmoali, Paramjit Sehdev
Pattern Recognition Letters (2019) Vol. 120, pp. 69-74
Closed Access | Times Cited: 353
A systematic review on affective computing: emotion models, databases, and recent advances
Yan Wang, Wei Song, Wei Tao, et al.
Information Fusion (2022) Vol. 83-84, pp. 19-52
Open Access | Times Cited: 288
Deep learning-based PM2.5 prediction considering the spatiotemporal correlations: A case study of Beijing, China
Unjin Pak, Jun Ma, Unsok Ryu, et al.
The Science of The Total Environment (2019) Vol. 699, pp. 133561-133561
Closed Access | Times Cited: 274
EEG-Based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and Their Applications
Xiaotong Gu, Zehong Cao, Alireza Jolfaei, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021) Vol. 18, Iss. 5, pp. 1645-1666
Open Access | Times Cited: 270
Facial Emotion Recognition Using Transfer Learning in the Deep CNN
M. A. H. Akhand, Shuvendu Roy, Nazmul Siddique, et al.
Electronics (2021) Vol. 10, Iss. 9, pp. 1036-1036
Open Access | Times Cited: 211
Comparing Recognition Performance and Robustness of Multimodal Deep Learning Models for Multimodal Emotion Recognition
Wei Liu, Jielin Qiu, Wei‐Long Zheng, et al.
IEEE Transactions on Cognitive and Developmental Systems (2022) Vol. 14, Iss. 2, pp. 715-729
Closed Access | Times Cited: 200
A Review on Automatic Facial Expression Recognition Systems Assisted by Multimodal Sensor Data
Najmeh Samadiani, Guangyan Huang, Borui Cai, et al.
Sensors (2019) Vol. 19, Iss. 8, pp. 1863-1863
Open Access | Times Cited: 173
Emotion Recognition for Human-Robot Interaction: Recent Advances and Future Perspectives
Matteo Spezialetti, Giuseppe Placidi, Silvia Rossi
Frontiers in Robotics and AI (2020) Vol. 7
Open Access | Times Cited: 162
Investigating EEG-based functional connectivity patterns for multimodal emotion recognition
Xun Wu, Wei‐Long Zheng, Ziyi Li, et al.
Journal of Neural Engineering (2022) Vol. 19, Iss. 1, pp. 016012-016012
Open Access | Times Cited: 139
Facial Expression Recognition Using Residual Masking Network
Luan Pham, The Huynh Vu, Tuan Anh Tran
2022 26th International Conference on Pattern Recognition (ICPR) (2021), pp. 4513-4519
Closed Access | Times Cited: 127
Facial Emotion Recognition Using Conventional Machine Learning and Deep Learning Methods: Current Achievements, Analysis and Remaining Challenges
Amjad Rehman
Information (2022) Vol. 13, Iss. 6, pp. 268-268
Open Access | Times Cited: 78
Potential Applications of Social Robots in Robot-Assisted Interventions for Social Anxiety
Samira Rasouli, Garima Gupta, Elizabeth S. Nilsen, et al.
International Journal of Social Robotics (2022) Vol. 14, Iss. 5, pp. 1-32
Open Access | Times Cited: 70
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
Masked Face Emotion Recognition Based on Facial Landmarks and Deep Learning Approaches for Visually Impaired People
Mukhriddin Mukhiddinov, Oybek Djuraev, Farkhod Akhmedov, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1080-1080
Open Access | Times Cited: 56
Facial expression and body gesture emotion recognition: A systematic review on the use of visual data in affective computing
Sze Chit Leong, Yuk Ming Tang, Chung Hin Lai, et al.
Computer Science Review (2023) Vol. 48, pp. 100545-100545
Closed Access | Times Cited: 42
Harmonizing Emotions: An AI-Driven Sound Therapy System Design for Enhancing Mental Health of Older Adults
Yichao Shi, Changda Ma, Chunlan Wang, et al.
Lecture notes in computer science (2024), pp. 439-455
Closed Access | Times Cited: 18
Towards symbolic XAI – explanation through human understandable logical relationships between features
Thomas Schnake, Farnoush Rezaei Jafari, Jonas Lederer, et al.
Information Fusion (2025), pp. 102923-102923
Open Access | Times Cited: 1
TheraSense: Deep Learning for Facial Emotion Analysis in Mental Health Teleconsultation
Hayette Hadjar, Binh Vu, Matthias Hemmje
Electronics (2025) Vol. 14, Iss. 3, pp. 422-422
Open Access | Times Cited: 1
Driver’s Facial Expression Recognition in Real-Time for Safe Driving
Mira Jeong, Byoung Chul Ko
Sensors (2018) Vol. 18, Iss. 12, pp. 4270-4270
Open Access | Times Cited: 145
Employing PCA and t-statistical approach for feature extraction and classification of emotion from multichannel EEG signal
Md. Asadur Rahman, Md. Foisal Hossain, M.Mokarrom Hossain, et al.
Egyptian Informatics Journal (2019) Vol. 21, Iss. 1, pp. 23-35
Open Access | Times Cited: 138
Deep convolution network based emotion analysis towards mental health care
Zixiang Fei, Erfu Yang, David Li, et al.
Neurocomputing (2020) Vol. 388, pp. 212-227
Open Access | Times Cited: 126
A hybrid model based on convolutional neural networks and long short-term memory for ozone concentration prediction
Unjin Pak, Chungsong Kim, Unsok Ryu, et al.
Air Quality Atmosphere & Health (2018) Vol. 11, Iss. 8, pp. 883-895
Closed Access | Times Cited: 124
The Accuracy of Digital Face Scans Obtained from 3D Scanners: An In Vitro Study
Pokpong Amornvit, Sasiwimol Sanohkan
International Journal of Environmental Research and Public Health (2019) Vol. 16, Iss. 24, pp. 5061-5061
Open Access | Times Cited: 114
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: 87
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