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:

Recognition of facial expressions based on CNN features
Sonia M. González-Lozoya, Jorge de la Calleja, Luis Pellegrin, et al.
Multimedia Tools and Applications (2020) Vol. 79, Iss. 19-20, pp. 13987-14007
Closed Access | Times Cited: 64

Showing 26-50 of 64 citing articles:

Improving Facial Expression Recognition Using HOG with SVM and Modified Datasets Classified by Alexnet
Salar Jamal Abdulhameed Al-Atroshi, Abbas M. Ali
Traitement du signal (2023) Vol. 40, Iss. 4, pp. 1611-1619
Open Access | Times Cited: 4

CNN-based Gender Prediction in Uncontrolled Environments
Kazım Yıldız, Engin Güneş, Anil Bas
Düzce Üniversitesi Bilim ve Teknoloji Dergisi (2021) Vol. 9, Iss. 2, pp. 890-898
Open Access | Times Cited: 10

Multimodal emotional analysis through hierarchical video summarization and face tracking
Michael Moses Thiruthuvanathan, K. Balachandran
Multimedia Tools and Applications (2021) Vol. 81, Iss. 25, pp. 35535-35554
Closed Access | Times Cited: 10

Mobile-Optimized Facial Expression Recognition Techniques
Nizar El Zarif, Leila Montazeri, François Leduc-Primeau, et al.
IEEE Access (2021) Vol. 9, pp. 101172-101185
Open Access | Times Cited: 8

Photogram Classification-Based Emotion Recognition
Juan Miguel López, Nestor Garay-Vitoria
IEEE Access (2021) Vol. 9, pp. 136974-136984
Open Access | Times Cited: 8

CNN-based Human Emotion Recognition from Facial Images in Controlled-Uncontrolled Environment
Richa Grover, Sandhya Bansal
(2023), pp. 1-6
Closed Access | Times Cited: 3

Research on facial expression recognition of robot based on CNN convolution neural network
Zhenhua Nie
2020 IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS) (2020), pp. 1067-1070
Closed Access | Times Cited: 7

Four-layer Convnet to Facial Emotion Recognition With Minimal Epochs and the Significance of Data Diversity
Tanoy Debnath, Md. Mahfuz Reza, Anichur Rahman, et al.
Research Square (Research Square) (2021)
Open Access | Times Cited: 7

Facial Expression Recognition Method Combined with Attention Mechanism
Ming Chen, Junqiang Cheng, Zhifeng Zhang, et al.
Mobile Information Systems (2021) Vol. 2021, pp. 1-10
Open Access | Times Cited: 6

A dual‐channel ensembled deep convolutional neural network for facial expression recognition in the wild
Sumeet Saurav, Ravi Saini, Sanjay Kumar Singh
Computational Intelligence (2023) Vol. 39, Iss. 5, pp. 666-706
Closed Access | Times Cited: 2

USK-FEMO: A Face Emotion Dataset using Deep Learning for Effective Learning
Muhajir Muhajir, Maulisa Oktiana, Kahlil Muchtar, et al.
(2023), pp. 199-203
Closed Access | Times Cited: 2

Expression Recognition of Multiple Faces Using a Convolution Neural Network Combining the Haar Cascade Classifier
Jui‐Feng Yeh, Kuei-Mei Lin, Chia‐Chen Chang, et al.
Applied Sciences (2023) Vol. 13, Iss. 23, pp. 12737-12737
Open Access | Times Cited: 2

A self-attention-based fusion framework for facial expression recognition in wavelet domain
Sakshi Indolia, Swati Nigam, Rajiv Singh
The Visual Computer (2023) Vol. 40, Iss. 9, pp. 6341-6357
Closed Access | Times Cited: 2

Intelligent Locking System using Deep Learning for Autonomous Vehicle in Internet of Things
S. Zaleha. H, Nora Ithnin, Nur Haliza Abdul Wahab, et al.
International Journal of Advanced Computer Science and Applications (2021) Vol. 12, Iss. 10
Open Access | Times Cited: 5

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

A Robust Ensemble Approach to Face Expression Recognition and Image Sentiment Analysis
Ervin Gubin Moung, Chai Chuan Wooi, Maisarah Mohd Sufian, et al.
Internet of things (2024), pp. 203-223
Closed Access

Facial video-based non-contact emotion recognition: A multi-view features expression and fusion method
Tao Xue, Liwei Su, Zhi Rao, et al.
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106608-106608
Open Access

Multitask EfficientNet affective computing for student engagement detection
Michael Moses Thiruthuvanathan, K. Balachandran
Multimedia Tools and Applications (2024)
Closed Access

Eye State Classification Method for Detecting Physiological Deviations in Drivers Based on CNN Algorithm
Fayzullo Makhmadiyarovich Nazarov, Munis M. Xamidov
2022 International Russian Automation Conference (RusAutoCon) (2024), pp. 802-807
Closed Access

Unet based Xception Model Approach for Facial Emotion Recognition
Surya Majumder, Adrija Bhattacharya
Research Square (Research Square) (2024)
Open Access

An optimized whale-based modular neural framework to predict crime events
K. Kishore Kumar, H. Venkateswara Reddy
Multimedia Tools and Applications (2023) Vol. 82, Iss. 20, pp. 30855-30873
Closed Access | Times Cited: 1

Facial Image Emotion Recognition Based on Convolutional Neural Networks and Haar Classifiers
Jui‐Feng Yeh, Wei-Tse Hung, Chia‐Chen Chang, et al.
(2023), pp. 161-163
Closed Access | Times Cited: 1

FERMOUTH: Facial Emotion Recognition from the MOUTH Region
Berardina De Carolis, Nicola Macchiarulo, Giuseppe Palestra, et al.
Lecture notes in computer science (2023), pp. 147-158
Closed Access | Times Cited: 1

Research on Face Expression Complementary Recognition Based on DCGAN and VGG-16
Xiyin Zeng
(2023), pp. 1644-1649
Closed Access | Times Cited: 1

Vision Transformer Based Photo Capturing System
Abdülkadir Albayrak
Balkan Journal of Electrical and Computer Engineering (2023)
Open Access | Times Cited: 1

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