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:

A Performance Study of CNN Architectures for the Autonomous Detection of COVID-19 Symptoms Using Cough and Breathing
Meysam Effati, Goldie Nejat
Computers (2023) Vol. 12, Iss. 2, pp. 44-44
Open Access | Times Cited: 7

Showing 7 citing articles:

Towards classification and comprehensive analysis of AI-based COVID-19 diagnostic techniques: A survey
Amna Kosar, Muhammad Asif, Maaz Bin Ahmad, et al.
Artificial Intelligence in Medicine (2024) Vol. 151, pp. 102858-102858
Closed Access | Times Cited: 4

Reliable data transmission for a VANET-IoIT architecture: A DNN approach
Joydev Ghosh, Neeraj Kumar, Khaled A. Al-Utaibi, et al.
Internet of Things (2024) Vol. 25, pp. 101129-101129
Closed Access | Times Cited: 2

Screening COVID-19 by Swaasa AI platform using cough sounds: a cross-sectional study
Padmalatha Pentakota, Gowrisree Rudraraju, Narayana Rao Sripada, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 2

A multimodal educational robots driven via dynamic attention
An Jianliang
Frontiers in Neurorobotics (2024) Vol. 18
Open Access

Assessing Data-Driven of Discriminative Deep Learning Models in Classification Task Using Synthetic Pandemic Dataset
Sunday Adeola Ajagbe, Pragasen Mudali, Matthew O. Adigun
Communications in computer and information science (2024), pp. 282-299
Closed Access

Covid-19 Detection from Cough, Breath, And Speech Sounds with Short-Time Fourier Transform and a CNN Model
Ahmet Ekiz, Kaplan Kaplan
2022 Innovations in Intelligent Systems and Applications Conference (ASYU) (2023), pp. 1-5
Closed Access

A Comparative Study of Hybrid Deep Learning Techniques for COVID-19 Detection based on Cough Sound Analysis
Ramya Polaki, R Annamalai
2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) (2023), pp. 478-485
Closed Access

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