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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:

An integrated information theory index using multichannel EEG for evaluating various states of consciousness under anesthesia
Kangli Dong, Delin Zhang, Qishun Wei, et al.
Computers in Biology and Medicine (2022) Vol. 153, pp. 106480-106480
Closed Access | Times Cited: 11

Showing 11 citing articles:

Harnessing machine learning for EEG signal analysis: Innovations in depth of anaesthesia assessment
Thomas Schmierer, Tianning Li, Yan Li
Artificial Intelligence in Medicine (2024) Vol. 151, pp. 102869-102869
Open Access | Times Cited: 12
Fusing Fuzzy Entropy with Gaussian and Exponential Membership Functions Outperforms Traditional Entropy Metrics in Monitoring the Depth of Anesthesia using a Single Frontal EEG Channel
Mohammad Shahbakhti, Matin Beiramvand, Naser Hakimi, et al.
IEEE Sensors Letters (2024) Vol. 8, Iss. 3, pp. 1-4
Closed Access | Times Cited: 3
Moral considerability of brain organoids from the perspective of computational architecture
J. Lomax Boyd
Oxford Open Neuroscience (2024) Vol. 3
Open Access | Times Cited: 2
Removal of Ocular and Muscular Artifacts From Multi-Channel EEG Using Improved Spatial-Frequency Filtering
Wuxiang Shi, Yurong Li, Nai‐Qing Cai, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 6, pp. 3466-3477
Closed Access | Times Cited: 2
Wearable EEG-Based Depth of Anesthesia Monitoring: A Nonparametric Feature Set
Mohammad Shahbakhti, Róża Krycińska, Matin Beiramvand, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 11, pp. 18098-18107
Closed Access | Times Cited: 2
Classification of Alzheimer’s Disease and Frontotemporal Dementia Using Electroencephalography to Quantify Communication between Electrode Pairs
Yuan Ma, Jeffrey Bland, Tsutomu Fujinami
Diagnostics (2024) Vol. 14, Iss. 19, pp. 2189-2189
Open Access | Times Cited: 2
Carving Nature at its Joints: A Comparison of CEMI Field Theory with Integrated Information Theory and Global Workspace Theory
Johnjoe McFadden
(2023)
Open Access | Times Cited: 5
Quantifying Consciousness for Alzheimer's Disease Diagnosis through Electroencephalogram Processing
Yuan Ma, Jeffery Keith Spaneas Bland, Gaku Yoshikawa, et al.
(2024), pp. 164-168
Closed Access | Times Cited: 1
Carving Nature at Its Joints: A Comparison of CEMI Field Theory with Integrated Information Theory and Global Workspace Theory
Johnjoe McFadden
Entropy (2023) Vol. 25, Iss. 12, pp. 1635-1635
Open Access | Times Cited: 2
Consciousness transitions during epilepsy seizures through the lens of integrated information theory
Fabricio Baglivo, Nuria Cámpora, Camilo J. Mininni, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Assessing consciousness in acute coma using name-evoked responses
Jun Hu, C. Chen, Min Wu, et al.
Brain Research Bulletin (2024) Vol. 218, pp. 111091-111091
Open Access
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