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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:

Driver Fatigue Detection Through Chaotic Entropy Analysis of Cortical Sources Obtained From Scalp EEG Signals
Aritra Chaudhuri, Aurobinda Routray
IEEE Transactions on Intelligent Transportation Systems (2019) Vol. 21, Iss. 1, pp. 185-198
Closed Access | Times Cited: 59

Showing 26-50 of 59 citing articles:

Two-dimensional phase lag index image representation of electroencephalography for automated recognition of driver fatigue using convolutional neural network
Jichi Chen, Shijie Wang, Enqiu He, et al.
Expert Systems with Applications (2021) Vol. 191, pp. 116339-116339
Closed Access | Times Cited: 22
Asynchronous Motor Imagery BCI and LiDAR-Based Shared Control System for Intuitive Wheelchair Navigation
Jin Woo Choi, Junyong Park, Sejoon Huh, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 14, pp. 16252-16263
Closed Access | Times Cited: 7
A Hybrid Deep Neural Network Approach to Recognize Driving Fatigue Based on EEG Signals
Mohammed Alghanim, Hani Attar, Khosro Rezaee, et al.
International Journal of Intelligent Systems (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 2
Optimal feature‐algorithm combination research for EEG fatigue driving detection based on functional brain network
Zhou Yi, Changqing Zeng, Zhendong Mu
IET Biometrics (2023) Vol. 12, Iss. 2, pp. 65-76
Open Access | Times Cited: 6
Driver State Monitoring Technology for Conditionally Automated Vehicles: Review and Future Prospects
You Qu, Hongyu Hu, Jiarui Liu, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-20
Closed Access | Times Cited: 6
A Review on Existing Technologies for the Identification and Measurement of Abnormal Driving
Ishita Sar, Aurobinda Routray, Biswajit Mahanty
International Journal of Intelligent Transportation Systems Research (2023) Vol. 21, Iss. 1, pp. 159-177
Closed Access | Times Cited: 5
A BCI Based Alerting System for Attention Recovery of UAV Operators
Jong-Hyuk Park, Jonghun Park, Dongmin Shin, et al.
Sensors (2021) Vol. 21, Iss. 7, pp. 2447-2447
Open Access | Times Cited: 12
Directed Brain Network Analysis for Fatigue Driving Based on EEG Source Signals
Yingmei Qin, Ziyu Hu, Yi Chen, et al.
Entropy (2022) Vol. 24, Iss. 8, pp. 1093-1093
Open Access | Times Cited: 8
Sustained attention detection in humans using a prefrontal theta-EEG rhythm
Pankaj Kumar Sahu, Karan Jain
Cognitive Neurodynamics (2024) Vol. 18, Iss. 5, pp. 2675-2687
Closed Access | Times Cited: 1
A Real-time Assessment System for Cognitive Performances of Armored Vehicle Crews Based upon the Multi-source Information Fusion
Qingyang Huang, Mingyang Guo, Yuning Wei, et al.
International Journal of Human-Computer Interaction (2024), pp. 1-19
Closed Access | Times Cited: 1
Efficient detection of driver fatigue state based on all-weather illumination scenarios
Siyang Hu, Qihuang Gao, Kai Xie, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Driver fatigue recognition using limited amount of individual electroencephalogram
Pukyeong Seo, Hyun Kim, Kyung Hwan Kim
Biomedical Engineering Letters (2024) Vol. 15, Iss. 1, pp. 143-157
Closed Access | Times Cited: 1
Multi-level domain adaptation for improved generalization in electroencephalogram-based driver fatigue detection
Fuzhong Huang, Qicong Wang, Lei Chen, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 142, pp. 109825-109825
Closed Access | Times Cited: 1
Meditative State Classification Using Neuronal Multi-IMF Band Power and Complexity Features
Swati Singh, Vinay K. Gupta, Tharun Kumar Reddy, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 3
Research on fatigue identification methods based on low-load wearable ECG monitoring devices
Huiquan Wang, Mengting Han, Tasmia Avouka, et al.
Review of Scientific Instruments (2023) Vol. 94, Iss. 4
Closed Access | Times Cited: 3
A Comprehensive Analysis of Machine Learning and Deep Learning Models for Identifying Pilots’ Mental States from Imbalanced Physiological Data
Ibrahim Alreshidi, Satendra Kumar Yadav, Irene Moulitsas, et al.
AIAA Aviation 2019 Forum (2023)
Open Access | Times Cited: 3
Multiple robust approaches for EEG-based driving fatigue detection and classification
Sunil Kumar Prabhakar, Dong-Ok Won
Array (2023) Vol. 19, pp. 100320-100320
Open Access | Times Cited: 3
Characterizing EEG signals of meditative states using persistent homology and Hodge spectral entropy
Kurusetti Vinay Gupta, Jyotiranjan Beuria, Laxmidhar Behera
Biomedical Signal Processing and Control (2023) Vol. 89, pp. 105779-105779
Open Access | Times Cited: 3
Identifying multilayer differential core networks and effective discriminant features for driver fatigue detection
Kun Yang, Xiliang Yang, R. Li, et al.
Biomedical Signal Processing and Control (2023) Vol. 90, pp. 105892-105892
Closed Access | Times Cited: 3
Miscellaneous EEG Preprocessing and Machine Learning for Pilots' Mental States Classification: Implications
Ibrahim Alreshidi, Irene Moulitsas, Karl Jenkins
(2022), pp. 29-39
Open Access | Times Cited: 5
Driver Drowsiness Alert System Using Real-Time Detection
Krishna Mridha, Rabindra Nath Shaw, Dinesh Kumar, et al.
Studies in computational intelligence (2022), pp. 65-81
Closed Access | Times Cited: 3
Multi-IMF Sample Entropy Features with Machine Learning for Surface Texture Recognition Based on Robot Tactile Perception
Shiliang Shao, Ting Wang, Yun Su, et al.
International Journal of Humanoid Robotics (2021) Vol. 18, Iss. 02, pp. 2150005-2150005
Open Access | Times Cited: 4
Enhancing Road Safety Through Cost-Effective, Real-Time Monitoring of Driver Awareness with Resource-Constrained IoT Devices
Ahmed Imteaj, Tanveer Rahman, Saika Zaman, et al.
2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) (2024), pp. 1711-1720
Closed Access
Addressing Imbalanced EEG Data for Improved Microsleep Detection: An ADASYN, FFT and LDA-Based Approach
Md Mahmudul Hasan, Sayma Khandaker, Norizam Sulaiman, et al.
Diyala Journal of Engineering Sciences (2024), pp. 45-57
Open Access
Adaptive multi-branch CNN of integrating manual features and functional network for driver fatigue detection
Kun Yang, Keze Zhang, Yubin Hu, et al.
Biomedical Signal Processing and Control (2024) Vol. 102, pp. 107262-107262
Closed Access

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