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:

Automated detection of driver fatigue based on EEG signals using gradient boosting decision tree model
Jianfeng Hu, Jianliang Min
Cognitive Neurodynamics (2018) Vol. 12, Iss. 4, pp. 431-440
Open Access | Times Cited: 120

Showing 1-25 of 120 citing articles:

A Review on Machine Learning for EEG Signal Processing in Bioengineering
Mohammad-Parsa Hosseini, Amin Hosseini, Kiarash Ahi
IEEE Reviews in Biomedical Engineering (2020) Vol. 14, pp. 204-218
Closed Access | Times Cited: 295
A Review of EEG Signal Features and Their Application in Driver Drowsiness Detection Systems
Igor Stančin, Mario Cifrek, Alan Jović
Sensors (2021) Vol. 21, Iss. 11, pp. 3786-3786
Open Access | Times Cited: 183
EEG-Based Cross-Subject Driver Drowsiness Recognition With an Interpretable Convolutional Neural Network
Jian Cui, Zirui Lan, Olga Sourina, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 34, Iss. 10, pp. 7921-7933
Open Access | Times Cited: 95
Applications of Machine Learning in Alloy Catalysts: Rational Selection and Future Development of Descriptors
Ze Yang, Wang Gao
Advanced Science (2022) Vol. 9, Iss. 12
Open Access | Times Cited: 73
Study on a Portable Electrode Used to Detect the Fatigue of Tower Crane Drivers in Real Construction Environment
Fuwang Wang, Mingjia Ma, Xiaolei Zhang
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-14
Closed Access | Times Cited: 16
A compact and interpretable convolutional neural network for cross-subject driver drowsiness detection from single-channel EEG
Jian Cui, Zirui Lan, Yisi Liu, et al.
Methods (2021) Vol. 202, pp. 173-184
Open Access | Times Cited: 88
The impact of mental fatigue on brain activity: a comparative study both in resting state and task state using EEG
Gang Li, Shan Huang, Wanxiu Xu, et al.
BMC Neuroscience (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 87
Driving Fatigue Classification Based on Fusion Entropy Analysis Combining EOG and EEG
Hongtao Wang, C. S. Wu, Ting Li, et al.
IEEE Access (2019) Vol. 7, pp. 61975-61986
Open Access | Times Cited: 76
Inter-subject transfer learning for EEG-based mental fatigue recognition
Yisi Liu, Zirui Lan, Jian Cui, et al.
Advanced Engineering Informatics (2020) Vol. 46, pp. 101157-101157
Closed Access | Times Cited: 76
Cross-Subject Zero Calibration Driver’s Drowsiness Detection: Exploring Spatiotemporal Image Encoding of EEG Signals for Convolutional Neural Network Classification
João Paulo, Gabriel Pires, Urbano Nunes
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021) Vol. 29, pp. 905-915
Open Access | Times Cited: 61
An Evaluation of the EEG Alpha-to-Theta and Theta-to-Alpha Band Ratios as Indexes of Mental Workload
Bujar Raufi, Luca Longo
Frontiers in Neuroinformatics (2022) Vol. 16
Open Access | Times Cited: 51
A Transformer based neural network for emotion recognition and visualizations of crucial EEG channels
Jiayi Guo, Qing Cai, Jian-Peng An, et al.
Physica A Statistical Mechanics and its Applications (2022) Vol. 603, pp. 127700-127700
Closed Access | Times Cited: 42
Mapping Forest Fire Risk Zones Using Machine Learning Algorithms in Hunan Province, China
Chaoxue Tan, Zhongke Feng
Sustainability (2023) Vol. 15, Iss. 7, pp. 6292-6292
Open Access | Times Cited: 24
Subject-Independent Emotion Recognition Based on EEG Frequency Band Features and Self-Adaptive Graph Construction
Jinhao Zhang, Yanrong Hao, Xin Wen, et al.
Brain Sciences (2024) Vol. 14, Iss. 3, pp. 271-271
Open Access | Times Cited: 9
Empirical wavelet transform based automated alcoholism detecting using EEG signal features
Arti Anuragi, Dilip Singh Sisodia
Biomedical Signal Processing and Control (2019) Vol. 57, pp. 101777-101777
Closed Access | Times Cited: 71
A dynamic center and multi threshold point based stable feature extraction network for driver fatigue detection utilizing EEG signals
Türker Tuncer, Şengül Doğan, Fatih Ertam, et al.
Cognitive Neurodynamics (2020) Vol. 15, Iss. 2, pp. 223-237
Open Access | Times Cited: 56
A comprehensive review of approaches to detect fatigue using machine learning techniques
Rohit Hooda, Vedant Sandeep Joshi, Manan Shah
Chronic Diseases and Translational Medicine (2021) Vol. 8, Iss. 1, pp. 26-35
Open Access | Times Cited: 49
Applications of electroencephalography in construction
Sina Saedi, Alireza Ahmadian Fard Fini, Mostafa Khanzadi, et al.
Automation in Construction (2021) Vol. 133, pp. 103985-103985
Closed Access | Times Cited: 48
Assessment of Driver Mental Fatigue Using Facial Landmarks
Qian Cheng, Wuhong Wang, Xiaobei Jiang, et al.
IEEE Access (2019) Vol. 7, pp. 150423-150434
Open Access | Times Cited: 47
Detection of mental fatigue state using heart rate variability and eye metrics during simulated flight
Hao Qin, Xiaozhou Zhou, Xuhan Ou, et al.
Human Factors and Ergonomics in Manufacturing & Service Industries (2021) Vol. 31, Iss. 6, pp. 637-651
Closed Access | Times Cited: 33
eFL-Boost: Efficient Federated Learning for Gradient Boosting Decision Trees
Fuki Yamamoto, Seiichi Ozawa, Lihua Wang
IEEE Access (2022) Vol. 10, pp. 43954-43963
Open Access | Times Cited: 27
Automatic drowsiness detection for safety-critical operations using ensemble models and EEG signals
Plìnio M. S. Ramos, Caio Bezerra Souto Maior, Márcio das Chagas Moura, et al.
Process Safety and Environmental Protection (2022) Vol. 164, pp. 566-581
Closed Access | Times Cited: 27
Identification and Classification of Physical Fatigue in Construction Workers Using Linear and Nonlinear Heart Rate Variability Measurements
Shahnawaz Anwer, Heng Li, Waleed Umer, et al.
Journal of Construction Engineering and Management (2023) Vol. 149, Iss. 7
Open Access | Times Cited: 15
Multimodal integration for data-driven classification of mental fatigue during construction equipment operations: Incorporating electroencephalography, electrodermal activity, and video signals
Imran Mehmood, Heng Li, Waleed Umer, et al.
Developments in the Built Environment (2023) Vol. 15, pp. 100198-100198
Open Access | Times Cited: 14
SoK: Model Inversion Attack Landscape: Taxonomy, Challenges, and Future Roadmap
Sayanton V. Dibbo
(2023), pp. 439-456
Closed Access | Times Cited: 14
Page 1 - Next Page

Scroll to top