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:
fNIRS-QC: Crowd-Sourced Creation of a Dataset and Machine Learning Model for fNIRS Quality Control
Giulio Gabrieli, Andrea Bizzego, Michelle Jin Yee Neoh, et al.
Applied Sciences (2021) Vol. 11, Iss. 20, pp. 9531-9531
Open Access | Times Cited: 9
Giulio Gabrieli, Andrea Bizzego, Michelle Jin Yee Neoh, et al.
Applied Sciences (2021) Vol. 11, Iss. 20, pp. 9531-9531
Open Access | Times Cited: 9
Showing 9 citing articles:
A Machine Learning Perspective on fNIRS Signal Quality Control Approaches
Andrea Bizzego, Michelle Jin Yee Neoh, Giulio Gabrieli, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 2292-2300
Open Access | Times Cited: 18
Andrea Bizzego, Michelle Jin Yee Neoh, Giulio Gabrieli, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 2292-2300
Open Access | Times Cited: 18
Dataset of parent-child hyperscanning functional near-infrared spectroscopy recordings
Andrea Bizzego, Giulio Gabrieli, Atiqah Azhari, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 14
Andrea Bizzego, Giulio Gabrieli, Atiqah Azhari, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 14
Learning based motion artifacts processing in fNIRS: a mini review
Yunyi Zhao, Haiming Luo, Jianan Chen, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 4
Yunyi Zhao, Haiming Luo, Jianan Chen, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 4
Two Revised Deep Neural Networks and Their Applications in Quantitative Analysis Based on Near-Infrared Spectroscopy
Honghua Huang, Jianfei Luo, Feng Gan, et al.
Applied Sciences (2023) Vol. 13, Iss. 14, pp. 8494-8494
Open Access | Times Cited: 2
Honghua Huang, Jianfei Luo, Feng Gan, et al.
Applied Sciences (2023) Vol. 13, Iss. 14, pp. 8494-8494
Open Access | Times Cited: 2
Improving the Efficacy of Deep-Learning Models for Heart Beat Detection on Heterogeneous Datasets
Andrea Bizzego, Giulio Gabrieli, Michelle Jin Yee Neoh, et al.
Bioengineering (2021) Vol. 8, Iss. 12, pp. 193-193
Open Access | Times Cited: 4
Andrea Bizzego, Giulio Gabrieli, Michelle Jin Yee Neoh, et al.
Bioengineering (2021) Vol. 8, Iss. 12, pp. 193-193
Open Access | Times Cited: 4
Novel Feature Generation for Classification of Motor Activity from Functional Near-Infrared Spectroscopy Signals Using Machine Learning
V. Akila, J. Anita Christaline, A. Shirly Edward
Diagnostics (2024) Vol. 14, Iss. 10, pp. 1008-1008
Open Access
V. Akila, J. Anita Christaline, A. Shirly Edward
Diagnostics (2024) Vol. 14, Iss. 10, pp. 1008-1008
Open Access
CNN-based fNIRS signal quality assessment using short-time Fourier transform with short segment signals
Martti Ilvesmäki, Hany Ferdinando, Patricia-Elena Tone, et al.
(2024), pp. 29-29
Closed Access
Martti Ilvesmäki, Hany Ferdinando, Patricia-Elena Tone, et al.
(2024), pp. 29-29
Closed Access
Improving the efficacy of Deep Learning models for Heart Beat detection on heterogeneous datasets.
Andrea Bizzego, Giulio Gabrieli, Michelle Jin Yee Neoh, et al.
arXiv (Cornell University) (2021)
Closed Access
Andrea Bizzego, Giulio Gabrieli, Michelle Jin Yee Neoh, et al.
arXiv (Cornell University) (2021)
Closed Access
