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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:

Vision Transformers and Transfer Learning Approaches for Arabic Sign Language Recognition
Nojood M. Alharthi, Salha M. Alzahrani
Applied Sciences (2023) Vol. 13, Iss. 21, pp. 11625-11625
Open Access | Times Cited: 12

Showing 12 citing articles:

Efhamni: A Deep Learning-Based Saudi Sign Language Recognition Application
Lama Al Khuzayem, Shuhaab Shafi, Safia Aljahdali, et al.
Sensors (2024) Vol. 24, Iss. 10, pp. 3112-3112
Open Access | Times Cited: 2
Enhancing Arabic Sign Language Interpretation: Leveraging Convolutional Neural Networks and Transfer Learning
Saad Al-Ahmadi, Farah Muhammad, Haya Al Dawsari
Mathematics (2024) Vol. 12, Iss. 6, pp. 823-823
Open Access | Times Cited: 1
Applying Swin Architecture to Diverse Sign Language Datasets
Yulia Kumar, Kuan Huang, Chin-Chien Lin, et al.
Electronics (2024) Vol. 13, Iss. 8, pp. 1509-1509
Open Access | Times Cited: 1
Convolutional Neural Networks for Indian Sign Language Recognition
Manpreet Kaur Sidhu, Snehal P. Hon, Sandesh Marathe, et al.
International Journal of Innovative Science and Research Technology (IJISRT) (2024), pp. 2568-2573
Open Access | Times Cited: 1
Intelligent real-life key-pixel image detection system for early Arabic sign language learners
Faten S. Alamri, Amjad Rehman, Sunusi Bala Abdullahi, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2063-e2063
Open Access | Times Cited: 1
Enhancing Sign Language Translation with Deep Convolutional Neural Networks: A Case Study on Arabic Sign Language
Nourdine Herbaz, Hassan El Idrissi, Abdelmajid Badri
(2024)
Closed Access | Times Cited: 1
Techniques for Detecting the Start and End Points of Sign Language Utterances to Enhance Recognition Performance in Mobile Environments
Taewan Kim, Bongjae Kim
Applied Sciences (2024) Vol. 14, Iss. 20, pp. 9199-9199
Open Access | Times Cited: 1
Artificial intelligence in sign language recognition: A comprehensive bibliometric and visual analysis
Yanqiong Zhang, Yu Han, Zhaosong Zhu, et al.
Computers & Electrical Engineering (2024) Vol. 120, pp. 109854-109854
Closed Access | Times Cited: 1
Enhanced Weak Spatial Modeling Through CNN-Based Deep Sign Language Skeletal Feature Transformation
Faten S. Alamri, Sunusi Bala Abdullahi, Amjad Rehman Khan, et al.
IEEE Access (2024) Vol. 12, pp. 77019-77040
Open Access
A Brief Review of Sign Language Recognition Methods and Cutting-edge Technologies
Jialin Wu, Tao Yang
(2024), pp. 1233-1242
Closed Access
Fine-Tuning a Video Masked Autoencoder to Develop an Augmented Reality Application for Brazilian Sign Language Interpretation
Rodrigo Z. Fanucchi, Arlindo Rodrigues Galvão Filho, G. D. Marques, et al.
(2024), pp. 275-278
Closed Access
Machine Learning and Deep Learning Approaches for Arabic Sign Language Recognition: A Decade Systematic Literature Review
Asmaa Alayed
Sensors (2024) Vol. 24, Iss. 23, pp. 7798-7798
Open Access
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