Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Driver fatigue detection based on prefrontal EEG using multi-entropy measures and hybrid model
Jianliang Min, Xiong Chen, Yonggang Zhang, et al.
Biomedical Signal Processing and Control (2021) Vol. 69, pp. 102857-102857
Closed Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

Research on a Real-Time Driver Fatigue Detection Algorithm Based on Facial Video Sequences
Tianjun Zhu, Chuang Zhang, Tung-Lung Wu, et al.
Applied Sciences (2022) Vol. 12, Iss. 4, pp. 2224-2224
Open Access | Times Cited: 46
Fusion of EEG and Eye Blink Analysis for Detection of Driver Fatigue
Mohammad Shahbakhti, Matin Beiramvand, Erfan Nasiri, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 2037-2046
Open Access | Times Cited: 24
MI-DABAN: A dual-attention-based adversarial network for motor imagery classification
Huiying Li, Dongxue Zhang, Jingmeng Xie
Computers in Biology and Medicine (2022) Vol. 152, pp. 106420-106420
Closed Access | Times Cited: 31
A novel method for efficient estimation of brain effective connectivity in EEG
Danish M. Khan, Norashikin Yahya, Nidal Kamel, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 228, pp. 107242-107242
Closed Access | Times Cited: 24
Real-time fatigue driving detection system based on multi-module fusion
Huijie Jia, Zhongjun Xiao, Peng Ji
Computers & Graphics (2022) Vol. 108, pp. 22-33
Closed Access | Times Cited: 22
CEEMDAN fuzzy entropy based fatigue driving detection using single-channel EEG
Yunhe Liu, Zirui Xiang, Zhi-xin Yan, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106460-106460
Closed Access | Times Cited: 4
CM-FusionNet: A cross-modal fusion fatigue detection method based on electroencephalogram and electrooculogram
Fuzhong Huang, Chunfeng Yang, Wei Weng, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110204-110204
Closed Access
EEG-based multi-band functional connectivity using corrected amplitude envelope correlation for identifying unfavorable driving states
Jichi Chen, Yujie Wang, Yuguo Cui, et al.
Computer Methods in Biomechanics & Biomedical Engineering (2025), pp. 1-13
Closed Access
Driver Fatigue Detection Based on Residual Channel Attention Network and Head Pose Estimation
Mu Ye, Weiwei Zhang, P. Y. Cao, et al.
Applied Sciences (2021) Vol. 11, Iss. 19, pp. 9195-9195
Open Access | Times Cited: 32
A review of electroencephalogram signal processing methods for brain-controlled robots
Ziyang Huang, Mei Wang
Cognitive Robotics (2021) Vol. 1, pp. 111-124
Open Access | Times Cited: 27
EEG-Based Driver Fatigue Monitoring within a Human–Ship–Environment System: Implications for Ship Braking Safety
Bin Ren, Wanli Guan, Qinyu Zhou, et al.
Sensors (2023) Vol. 23, Iss. 10, pp. 4644-4644
Open Access | Times Cited: 10
Mental Workload Assessment using Low-Channel Prefrontal EEG Signals
Matin Beiramvand, Tarmo Lipping, Nina Karttunen, et al.
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (2023)
Closed Access | Times Cited: 9
Attention-Guided Multiscale Convolutional Neural Network for Driving Fatigue Detection
Jinbu Tang, Wei Zhou, Wei‐Long Zheng, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 14, pp. 23280-23290
Closed Access | Times Cited: 3
A Transfer Learning-Based CNN Deep Learning Model for Unfavorable Driving State Recognition
Jichi Chen, Hong Wang, Enqiu He
Cognitive Computation (2023) Vol. 16, Iss. 1, pp. 121-130
Closed Access | Times Cited: 8
A vigilance estimation method for high-speed rail drivers using physiological signals with a two-level fusion framework
Yufan Pan, Zhaojun Li, Ertian Zhang, et al.
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104831-104831
Closed Access | Times Cited: 7
Driver Vigilance Detection Based on Limited EEG Signals
Guofa Li, Long Zhang, Ying Zou, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 12, pp. 13387-13398
Closed Access | Times Cited: 7
Mental fatigue assessment by an arbitrary channel EEG based on morphological features and LSTM-CNN
Xiaolong Wu, Jianhong Yang, Yongcong Shao, et al.
Computers in Biology and Medicine (2023) Vol. 167, pp. 107652-107652
Closed Access | Times Cited: 7
Assessment of Mental Workload Using a Transformer Network and Two Prefrontal EEG Channels: An Unparameterized Approach
Matin Beiramvand, Mohammad Shahbakhti, Nina Karttunen, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-10
Open Access | Times Cited: 2
EEG_DMNet: A Deep Multi-Scale Convolutional Neural Network for Electroencephalography-Based Driver Drowsiness Detection
Hanan Bin Obaidan, Muhammad Hussain, Reham Al-Majed
Electronics (2024) Vol. 13, Iss. 11, pp. 2084-2084
Open Access | Times Cited: 2
Deep learning approach for detection of unfavorable driving state based on multiple phase synchronization between multi-channel EEG signals
Jichi Chen, Yuguo Cui, Hong Wang, et al.
Information Sciences (2023) Vol. 658, pp. 120070-120070
Closed Access | Times Cited: 6
Classification of EEG Signals from Driving Fatigue by Image-Based Deep Recurrent Neural Networks
Fang Zhao-guo, Enzeng Dong, Jigang Tong, et al.
2022 IEEE International Conference on Mechatronics and Automation (ICMA) (2022), pp. 1773-1777
Closed Access | Times Cited: 9
Robust multimodal federated learning for incomplete modalities
Songcan Yu, Junbo Wang, Walid Hussein, et al.
Computer Communications (2023) Vol. 214, pp. 234-243
Closed Access | Times Cited: 5
A Semantic Hybrid Temporal Approach for Detecting Driver Mental Fatigue
Shahzeb Ansari, Haiping Du, Fazel Naghdy, et al.
Safety (2024) Vol. 10, Iss. 1, pp. 9-9
Open Access | Times Cited: 1
FedUSL: A Federated Annotation Method for Driving Fatigue Detection based on Multimodal Sensing Data
Songcan Yu, Qinglin Yang, Junbo Wang, et al.
ACM Transactions on Sensor Networks (2024)
Open Access | Times Cited: 1
Feature Extraction of Motor Imagery EEG via Discrete Wavelet Transform and Generalized Maximum Fuzzy Membership Difference Entropy: A Comparative Study
Yinan Wang, Chengxin Song, Tao Zhang, et al.
Electronics (2023) Vol. 12, Iss. 10, pp. 2207-2207
Open Access | Times Cited: 4
Page 1 - Next Page

Scroll to top