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:

Deep learning techniques for automated detection of autism spectrum disorder based on thermal imaging
Kavya Ganesh, U. Snekhalatha, Palani Thanaraj Krishnan
Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine (2021) Vol. 235, Iss. 10, pp. 1113-1127
Closed Access | Times Cited: 30

Showing 26-50 of 30 citing articles:

An Analysis of the Use of Machine Learning in the Diagnosis of Autism Spectrum Disorder
M. Swedha, A. Devendran
EAI/Springer Innovations in Communication and Computing (2023), pp. 177-189
Closed Access | Times Cited: 1

The Early Detection of Autism Within Children Through Facial Recognition; A Deep Transfer Learning Approach
Lubnaa Abdur Rahman, Poolan Marikannan Booma
(2022), pp. 1-11
Closed Access | Times Cited: 2

LSTM-based hand thermal recovery analysis using infrared and RGB-visual imagery
Ayari Rodas-Flores, Juan Manuel Ramírez-Cortés, Pilar Gómez-Gil
2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) (2023), pp. 1-5
Closed Access

Efficient Classification Of Autism in Children based on Resnet-50 and Xception module
Lakshmi Kuruguntla, Madhuri Yadala, Hema Nikitha N, et al.
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2023)
Closed Access

Framework for facial expression recognition of children with autism based on deep learning
Shahad Sadeq Jaffar, Huda Abdulaali Abdulbaqi
AIP conference proceedings (2023) Vol. 2834, pp. 050023-050023
Closed Access

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