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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:

Sample Entropy Analysis of EEG Signals via Artificial Neural Networks to Model Patients’ Consciousness Level Based on Anesthesiologists Experience
George J. A. Jiang, Shou‐Zen Fan, Maysam Abbod, et al.
BioMed Research International (2015) Vol. 2015, pp. 1-8
Open Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

Consciousness and complexity: a consilience of evidence
Simone Sarasso, Adenauer G. Casali, Silvia Casarotto, et al.
Neuroscience of Consciousness (2021) Vol. 2021, Iss. 2
Open Access | Times Cited: 127
Artificial intelligence and its clinical application in Anesthesiology: a systematic review
Sara Lopes, Gonçalo Rocha, Luís Guimarães‐Pereira
Journal of Clinical Monitoring and Computing (2023) Vol. 38, Iss. 2, pp. 247-259
Open Access | Times Cited: 28
Driving Fatigue Detecting Based on EEG Signals of Forehead Area
Zhendong Mu, Jianfeng Hu, Jinghai Yin
International Journal of Pattern Recognition and Artificial Intelligence (2016) Vol. 31, Iss. 05, pp. 1750011-1750011
Closed Access | Times Cited: 64
Use of Multiple EEG Features and Artificial Neural Network to Monitor the Depth of Anesthesia
Yue Gu, Zhenhu Liang, Satoshi Hagihira
Sensors (2019) Vol. 19, Iss. 11, pp. 2499-2499
Open Access | Times Cited: 56
EEG-based emotion analysis using non-linear features and ensemble learning approaches
R. Saidur, Ajay Krishno Sarkar, Md. Amzad Hossain, et al.
Expert Systems with Applications (2022) Vol. 207, pp. 118025-118025
Closed Access | Times Cited: 35
EEG Signals Analysis Using Multiscale Entropy for Depth of Anesthesia Monitoring during Surgery through Artificial Neural Networks
Quan Liu, Yi-Feng Chen, Shou‐Zen Fan, et al.
Computational and Mathematical Methods in Medicine (2015) Vol. 2015, pp. 1-16
Open Access | Times Cited: 52
Entropy and Complexity Tools Across Scales in Neuroscience: A Review
Rodrigo Cofré, Alain Destexhe
Entropy (2025) Vol. 27, Iss. 2, pp. 115-115
Open Access
Personalised management of women with cervical abnormalities using a clinical decision support scoring system
Maria Kyrgiou, Abraham Pouliakis, John Panayiotides, et al.
Gynecologic Oncology (2016) Vol. 141, Iss. 1, pp. 29-35
Open Access | Times Cited: 40
Reliable sleep staging of unseen subjects with fusion of multiple EEG features and RUSBoost
Ritika Jain, A. G. Ramakrishnan
Biomedical Signal Processing and Control (2021) Vol. 70, pp. 103061-103061
Closed Access | Times Cited: 29
Quasi-Periodicities Detection Using Phase-Rectified Signal Averaging in EEG Signals as a Depth of Anesthesia Monitor
Quan Liu, Yi-Feng Chen, Shou‐Zen Fan, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2017) Vol. 25, Iss. 10, pp. 1773-1784
Open Access | Times Cited: 35
Characteristics of EEG Microstate Sequences During Propofol-Induced Alterations of Brain Consciousness States
Zhian Liu, Lichengxi Si, Weiwei Xu, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 1631-1641
Open Access | Times Cited: 18
Computational Depth of Anesthesia via Multiple Vital Signs Based on Artificial Neural Networks
Muammar Sadrawi, Shou‐Zen Fan, Maysam Abbod, et al.
BioMed Research International (2015) Vol. 2015, pp. 1-13
Open Access | Times Cited: 32
Heart rate variability-derived features based on deep neural network for distinguishing different anaesthesia states
Jian Zhan, Zhuoxi Wu, Zhenxin Duan, et al.
BMC Anesthesiology (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 20
HRV-derived data similarity and distribution index based on ensemble neural network for measuring depth of anaesthesia.
Quan Liu, Li Ma, Ren-Chun Chiu, et al.
DOAJ (DOAJ: Directory of Open Access Journals) (2017) Vol. 5, pp. e4067-e4067
Closed Access | Times Cited: 25
Monitoring the Depth of Anesthesia Through the Use of Cerebral Hemodynamic Measurements Based on Sample Entropy Algorithm
Gang Wang, Zhian Liu, Yiming Feng, et al.
IEEE Transactions on Biomedical Engineering (2019) Vol. 67, Iss. 3, pp. 807-816
Closed Access | Times Cited: 25
Frontal EEG Temporal and Spectral Dynamics Similarity Analysis between Propofol and Desflurane Induced Anesthesia Using Hilbert-Huang Transform
Quan Liu, Li Ma, Shou‐Zen Fan, et al.
BioMed Research International (2018) Vol. 2018, pp. 1-16
Open Access | Times Cited: 20
Comparison of Deep Learning Algorithms in Predicting Expert Assessments of Pain Scores during Surgical Operations Using Analgesia Nociception Index
Wei-Horng Jean, Peter Sutikno, Shou‐Zen Fan, et al.
Sensors (2022) Vol. 22, Iss. 15, pp. 5496-5496
Open Access | Times Cited: 9
K-means monarchy butterfly optimization for feature selection and Bi-LSTM for arrhythmia classification
Ravindar Mogili, G. Narsimha
Soft Computing (2023) Vol. 27, Iss. 20, pp. 14935-14951
Closed Access | Times Cited: 5
ANALYSIS OF THE CHANGES IN THE BRAIN ACTIVITY BETWEEN REST AND MULTITASKING WORKLOAD BY COMPLEXITY-BASED ANALYSIS OF EEG SIGNALS
Sriram Parthasarathy, Petra Marešová, Karthikeyan Rajagopal, et al.
Fractals (2023) Vol. 31, Iss. 09
Open Access | Times Cited: 5
Improved spectrum analysis in EEG for measure of depth of anesthesia based on phase-rectified signal averaging
Quan Liu, Yi-Feng Chen, Shou‐Zen Fan, et al.
Physiological Measurement (2016) Vol. 38, Iss. 2, pp. 116-138
Closed Access | Times Cited: 14
Electroencephalogram variability analysis for monitoring depth of anesthesia
Yi-Feng Chen, Shou‐Zen Fan, Maysam Abbod, et al.
Journal of Neural Engineering (2021) Vol. 18, Iss. 6, pp. 066015-066015
Open Access | Times Cited: 12
A Novel Neural Network Approach to Creating a Brain–Computer Interface Based on the EEG Patterns of Voluntary Muscle Movements
I. E. Shepelev, Д. М. Лазуренко, V. N. Kiroy, et al.
Neuroscience and Behavioral Physiology (2018) Vol. 48, Iss. 9, pp. 1145-1157
Closed Access | Times Cited: 13
Comparative Evaluation of a New Depth of Anesthesia Index in ConView® System and the Bispectral Index during Total Intravenous Anesthesia: A Multicenter Clinical Trial
Yang Fu, Tao Xu, Keliang Xie, et al.
BioMed Research International (2019) Vol. 2019, pp. 1-7
Open Access | Times Cited: 12
Unconscious classification of quantitative electroencephalogram features from propofol versus propofol combined with etomidate anesthesia using one-dimensional convolutional neural network
Pan Zhou, Haixia Deng, Jie Zeng, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 1
Sample Entropy in Electrocardiogram During Atrial Fibrillation
Takuya Horie, Naoto Burioka, Takashi Amisaki, et al.
Yonago acta medica (2018) Vol. 61, Iss. 1, pp. 049-057
Open Access | Times Cited: 12
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