Open Access Helper

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 with LBP and ORB Features
Ben Niu, Zhenxing Gao, Bingbing Guo
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 90

Showing 26-50 of 90 citing articles:

Modelling an efficient hybridized approach for facial emotion recognition using unconstraint videos and deep learning approaches
P. Naga Bhushanam, Selva Kumar S
Soft Computing (2024) Vol. 28, Iss. 5, pp. 4593-4606
Closed Access | Times Cited: 1
Development of a local binary pattern descriptor for texture analysis using deep convolutional neural network
HARDEEP SINGH SINGH, GAGANDEEP GAGAN
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Feature Extraction by Traditional Machine Learning and Deep Learning for Facial Expression Classification
Deepa D. Mandave, Lalit V. Patil
(2024)
Closed Access | Times Cited: 1
Comparison of CNN and ResNet Neural Networks on the Performance of Facial Expression Recognition
Gao Zhi-ming
Highlights in Science Engineering and Technology (2024) Vol. 94, pp. 31-38
Open Access | Times Cited: 1
CCNN-SVM: Automated Model for Emotion Recognition Based on Custom Convolutional Neural Networks with SVM
Metwally Rashad, Doaa M. Alebiary, Mohammed Aldawsari, et al.
Information (2024) Vol. 15, Iss. 7, pp. 384-384
Open Access | Times Cited: 1
VT-3DCapsNet: Visual tempos 3D-Capsule network for video-based facial expression recognition
Zhuan Li, Jin Liu, Hengyang Wang, et al.
PLoS ONE (2024) Vol. 19, Iss. 8, pp. e0307446-e0307446
Open Access | Times Cited: 1
A Novel Hybrid Model for Automatic Non-Small Cell Lung Cancer Classification Using Histopathological Images
Oğuzhan KATAR, Özal Yıldırım, Ru San Tan, et al.
Diagnostics (2024) Vol. 14, Iss. 22, pp. 2497-2497
Open Access | Times Cited: 1
Towards interpretable facial emotion recognition
Sarthak Malik, Puneet Kumar, Balasubramanian Raman
(2021), pp. 1-9
Closed Access | Times Cited: 9
Deep Feature Selection for Facial Emotion Recognition Based on BPSO and SVM
Kenan DONUK, Ali Arı, Mehmet Fatih ÖZDEMİR, et al.
Journal of Polytechnic (2021) Vol. 26, Iss. 1, pp. 131-142
Open Access | Times Cited: 8
Analysis of infoware and software for human affective states recognition
Anastasia Dvoynikova, Maxim Markitantov, Elena Ryumina, et al.
Informatics and Automation (2022) Vol. 21, Iss. 6, pp. 1097-1144
Open Access | Times Cited: 6
DLSANet: Facial expression recognition with double‐code LBP‐layer spatial‐attention network
Xing Guo, Siyuan Lu, Shuihua Wang‎, et al.
IET Image Processing (2023) Vol. 17, Iss. 9, pp. 2659-2672
Open Access | Times Cited: 3
Facial Emotion Recognition and Classification Using the Convolutional Neural Network-10 (CNN-10)
Emmanuel Gbenga Dada, David Opeoluwa Oyewola, Stephen Bassi Joseph, et al.
Applied Computational Intelligence and Soft Computing (2023) Vol. 2023, pp. 1-19
Open Access | Times Cited: 3
Challenges and Emerging Trends for Machine Reading of the Mind from Facial Expressions
Haythem Ghazouani
SN Computer Science (2023) Vol. 5, Iss. 1
Closed Access | Times Cited: 3
Linear fusion approach to convolutional neural networks for facial emotion recognition
Usen Dudekula, N. Purnachand
Indonesian Journal of Electrical Engineering and Computer Science (2022) Vol. 25, Iss. 3, pp. 1489-1489
Open Access | Times Cited: 5
A Novel Fuzzy Optimized CNN-RNN Method for Facial Expression Recognition
Dong Zhang, Qichuan Tian
Elektronika ir Elektrotechnika (2021) Vol. 27, Iss. 5, pp. 67-74
Open Access | Times Cited: 7
Windmill Graph based Feature Descriptors for Facial Expression Recognition
Mukku Nisanth Kartheek, Munaga V. N. K. Prasad, Raju Bhukya
Optik (2022) Vol. 260, pp. 169053-169053
Closed Access | Times Cited: 4
Facial Expression Recognition Based on Multi-Channel Attention Residual燦etwork
Tongping Shen, Huanqing Xu
Computer Modeling in Engineering & Sciences (2022) Vol. 135, Iss. 1, pp. 539-560
Open Access | Times Cited: 4
Facial Expression Recognition Using Machine Learning Techniques
Salam Ullah, Atif Jan, Gul Muhammad Khan
2021 International Conference on Engineering and Emerging Technologies (ICEET) (2021), pp. 1-6
Closed Access | Times Cited: 5
Facial Emotion Recognition Using Machine Learning Algorithms: Methods and Techniques
Akshat Gupta
Lecture notes in networks and systems (2024), pp. 75-84
Closed Access
Improving Facial Emotional Recognition Using Convolution Neural Network with Minimal Layer
Rogerant Tshibangu, Jules‐Raymond Tapamo
Frontiers in artificial intelligence and applications (2024)
Open Access
COMPARATIVE ANALYSIS OF METHODS FOR DETERMINING REFERENCE POINTS IN IMAGES
N.A. Nazhimova, A.A. Kiselev
Научное обозрение Технические науки (Scientific Review Technical Sciences) (2024), Iss. №1 2024, pp. 23-28
Open Access
A Multi Feature Fusion Search for Facial Expression Recognition Based on Classical Extraction Methods
Justice Kwame Appati, Patrick Wunake
Research Square (Research Square) (2024)
Open Access
A real-time computational approach for human facial expression recognition based on landmark feature extraction
Dennis Paz Lopez, Felipe Zago Canal, Gustavo Gino Scotton, et al.
Seven Editora eBooks (2024)
Open Access
Anticipating for Smart Healthcare System by Deep Ensemble Model Using Multi-Layer Perceptron in Early Human Facial Emotion Recognition
Waqar Riaz, Tao Gong, Jiancheng Ji, et al.
(2024)
Closed Access
Comparison of convolution neural network with support vector machine classifier for emotional face detection using machine learning
Vishnu Priya Upadhyayula, V. Amudha
AIP conference proceedings (2024) Vol. 3097, pp. 020151-020151
Closed Access

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