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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:

Facial Expression Recognition Based on Squeeze Vision Transformer
Sangwon Kim, Jae-Yeal Nam, Byoung Chul Ko
Sensors (2022) Vol. 22, Iss. 10, pp. 3729-3729
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

POSTER++: A simpler and stronger facial expression recognition network
Jiawei Mao, Rui Xu, Xuesong Yin, et al.
Pattern Recognition (2024) Vol. 157, pp. 110951-110951
Open Access | Times Cited: 15
Innovative Framework for Historical Architectural Recognition in China: Integrating Swin Transformer and Global Channel–Spatial Attention Mechanism
Jiade Wu, Yang Ying, Yigao Tan, et al.
Buildings (2025) Vol. 15, Iss. 2, pp. 176-176
Open Access
Application of Multiple Deep Learning Architectures for Emotion Classification Based on Facial Expressions
Cheng Qian, João Alexandre Lôbo Marques, Auzuir Ripardo de Alexandria, et al.
Sensors (2025) Vol. 25, Iss. 5, pp. 1478-1478
Open Access
STT-Net: Simplified Temporal Transformer for Emotion Recognition
Mustaqeem Khan, Abdulmotaleb El Saddik, Mohamed Deriche, et al.
IEEE Access (2024) Vol. 12, pp. 86220-86231
Open Access | Times Cited: 4
Efficient neural architecture search for emotion recognition
Monu Verma, Murari Mandal, Satish Kumar Reddy, et al.
Expert Systems with Applications (2023) Vol. 224, pp. 119957-119957
Open Access | Times Cited: 10
Students’ Classroom Behavior Detection System Incorporating Deformable DETR with Swin Transformer and Light-Weight Feature Pyramid Network
Zhifeng Wang, Jialong Yao, Chunyan Zeng, et al.
Systems (2023) Vol. 11, Iss. 7, pp. 372-372
Open Access | Times Cited: 10
Facial Expression Recognition in the Wild Using Face Graph and Attention
Hyeong-Jin Kim, Jong-Ha Lee, Byoung Chul Ko
IEEE Access (2023) Vol. 11, pp. 59774-59787
Open Access | Times Cited: 8
Masked Facial Emotion Recognition Using Vision Transformer
Ashraf Y. A. Maghari, Ameer Telbani
(2024)
Closed Access | Times Cited: 1
Optimizing Facial Expression Recognition: A One-Class Classification Approach Using ResNet18 and CBAM
Wenqian Yang, Lijie Zhang, Jun Guo, et al.
(2024), pp. 1-5
Closed Access | Times Cited: 1
Swin-FER: Swin Transformer for Facial Expression Recognition
Mei Bie, Huan Xu, Yan Gao, et al.
Applied Sciences (2024) Vol. 14, Iss. 14, pp. 6125-6125
Open Access | Times Cited: 1
Facial Expression Recognition in the Wild for Low-Resolution Images Using Voting Residual Network
José L. Gómez-Sirvent, Francisco López de la Rosa, Marı́a Teresa López, et al.
Electronics (2023) Vol. 12, Iss. 18, pp. 3837-3837
Open Access | Times Cited: 4
From methods to datasets: a detailed study on facial emotion recognition
Nidhi, Bindu Verma
Applied Intelligence (2023) Vol. 53, Iss. 24, pp. 30219-30249
Closed Access | Times Cited: 4
TriCAFFNet: A Tri-Cross-Attention Transformer with a Multi-Feature Fusion Network for Facial Expression Recognition
Yuan Tian, Zhao Wang, D. Y. Chen, et al.
Sensors (2024) Vol. 24, Iss. 16, pp. 5391-5391
Open Access | Times Cited: 1
Explainable evaluation framework for facial expression recognition in web-based learning environments
Amira Mouakher, Ruslan Kononov
International Journal of Machine Learning and Cybernetics (2024)
Closed Access | Times Cited: 1
FEMFER: feature enhancement for multi-faces expression recognition in classroom images
Mei Bie, Quanle Liu, Huan Xu, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 2, pp. 6183-6203
Closed Access | Times Cited: 3
Classroom Video Image Emotion Analysis Method for Online Teaching Quality Evaluation
Shunye Wang, Limin Cheng, Dayong Liu, et al.
Traitement du signal (2022) Vol. 39, Iss. 5, pp. 1767-1774
Open Access | Times Cited: 4
Transformer embedded spectral-based graph network for facial expression recognition
Xing Jin, Xulin Song, Xiyin Wu, et al.
International Journal of Machine Learning and Cybernetics (2023) Vol. 15, Iss. 6, pp. 2063-2077
Closed Access | Times Cited: 2
Driver's Facial Expression Recognition Using Global Context Vision Transformer
Ibtissam Saadi, Douglas W. Cunningham, Taleb-Ahmed Abdelmalik, et al.
(2023), pp. 1-8
Closed Access | Times Cited: 2
Facial expression recognition based on local–global information reasoning and spatial distribution of landmark features
Kunhong Xiong, Linbo Qing, Lindong Li, et al.
The Visual Computer (2024)
Closed Access
A CT-based model integrating deep learning and radiomics for predicting T stage of gastric cancer: A multicenter study (Preprint)
Tao Jin, Dan Liu, Fubi Hu, et al.
(2024)
Closed Access
Development and validation of a CT-based model for noninvasive prediction of T stage in gastric cancer: A multicenter study (Preprint)
Tao Jin, Dan Liu, Fubi Hu, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e56851-e56851
Open Access
Exploring New Frontiers in Facial Expression Recognition: Dual DenseNet-201 and Landmark Distance Analytics in the Wild
Abdullahi Mohamed Hassan, Xiaojun Zhou, Laeeq Aslam
2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS) (2024), pp. 2036-2043
Closed Access
Accuracy is not enough: a heterogeneous ensemble model versus FGSM attack
Reham A. Elsheikh, Mohamed A. Mohamed, Ahmed Aboutaleb, et al.
Complex & Intelligent Systems (2024) Vol. 10, Iss. 6, pp. 8355-8382
Open Access
A TEDE Algorithm Studies the Effect of Dataset Grouping on Supervised Learning Accuracy
Xufei Wang, Penghui Wang, Jeong-Young Song, et al.
Electronics (2023) Vol. 12, Iss. 11, pp. 2546-2546
Open Access | Times Cited: 1
BAUFER: A Baseline-Enabled Facial Expression Recognition Pipeline Trained with Limited Annotations
Charlotte von Numers, Yinan Yu, Aleksandra Petkova, et al.
Studies in computational intelligence (2023), pp. 221-236
Closed Access | Times Cited: 1
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