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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:

EEG-based driving fatigue detection using multilevel feature extraction and iterative hybrid feature selection
Türker Tuncer, Şengül Doğan, Abdülhamit Subaşı
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102591-102591
Open Access | Times Cited: 87

Showing 1-25 of 87 citing articles:

A Driving Fatigue Feature Detection Method Based on Multifractal Theory
Fuwang Wang, Hao Wang, Xin Zhou, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 19, pp. 19046-19059
Closed Access | Times Cited: 96
Artificial Intelligence and Neuroscience: Transformative Synergies in Brain Research and Clinical Applications
Răzvan Onciul, Cătălina-Ioana Tătaru, Adrian Dumitru, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 2, pp. 550-550
Open Access | Times Cited: 2
EEG-Based Driver Fatigue Detection Using FAWT and Multiboosting Approaches
Abdülhamit Subaşı, Aditya Saikia, Kholoud Bagedo, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 18, Iss. 10, pp. 6602-6609
Closed Access | Times Cited: 53
Novel nested patch-based feature extraction model for automated Parkinson's Disease symptom classification using MRI images
Ela Kaplan, Erman Altunışık, Yasemin Ekmekyapar Fırat, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 224, pp. 107030-107030
Closed Access | Times Cited: 38
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
Fatigue at the wheel: A non-visual approach to truck driver fatigue detection by multi-feature fusion
Chen He, Pengpeng Xu, Xin Pei, et al.
Accident Analysis & Prevention (2024) Vol. 199, pp. 107511-107511
Closed Access | Times Cited: 12
Real-Time Monitoring of Mental Fatigue of Construction Workers Using Enhanced Sequential Learning and Timeliness
Xin Fang, Xincong Yang, Xuejiao Xing, et al.
Automation in Construction (2024) Vol. 159, pp. 105267-105267
Closed Access | Times Cited: 8
A review of driver gaze estimation and application in gaze behavior understanding
Pavan kumar Sharma, Pranamesh Chakraborty
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108117-108117
Open Access | Times Cited: 8
An Effective and Robust Approach Based on R-CNN+LSTM Model and NCAR Feature Selection for Ophthalmological Disease Detection from Fundus Images
Fatih Demir, Burak Taşçı
Journal of Personalized Medicine (2021) Vol. 11, Iss. 12, pp. 1276-1276
Open Access | Times Cited: 41
An Efficient Multilevel Thresholding Scheme for Heart Image Segmentation Using a Hybrid Generalized Adversarial Network
A. Mallikarjuna Reddy, K. S. Reddy, Miryabbelli Jayaram, et al.
Journal of Sensors (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 32
Automated steel surface defect detection and classification using a new deep learning-based approach
Kürşat Demir, Mustafa Ay, Mehmet Çavaş, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 11, pp. 8389-8406
Closed Access | Times Cited: 31
A multilayer stacking method base on RFE-SHAP feature selection strategy for recognition of driver’s mental load and emotional state
Jing Huang, Peng Yang, Lin Hu
Expert Systems with Applications (2023) Vol. 238, pp. 121729-121729
Closed Access | Times Cited: 21
An enhanced ensemble deep random vector functional link network for driver fatigue recognition
Ruilin Li, Ruobin Gao, Liqiang Yuan, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106237-106237
Open Access | Times Cited: 18
Examining the Landscape of Cognitive Fatigue Detection: A Comprehensive Survey
Enamul Karim, Hamza Reza Pavel, Sama Nikanfar, et al.
Technologies (2024) Vol. 12, Iss. 3, pp. 38-38
Open Access | Times Cited: 6
EEG driving fatigue detection based on log-Mel spectrogram and convolutional recurrent neural networks
Dongrui Gao, Xue Tang, Manqing Wan, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 15
A new hand-modeled learning framework for driving fatigue detection using EEG signals
Şengül Doğan, Ilknur Tuncer, Mehmet Bayğın, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 20, pp. 14837-14854
Closed Access | Times Cited: 14
Automatic Detection of Occluded Main Coronary Arteries of NSTEMI Patients with MI-MS ConvMixer + WSSE Without CAG
Mehmet Çağrı Göktekin, Evrim Gül, Tolga Çakmak, et al.
Diagnostics (2025) Vol. 15, Iss. 3, pp. 347-347
Open Access
A review on EEG-based multimodal learning for emotion recognition
Rajasekhar Pillalamarri, S. Udhayakumar
Artificial Intelligence Review (2025) Vol. 58, Iss. 5
Open Access
A multidimensional adaptive transformer network for fatigue detection
Dingming Wu, Liu Deng, Qiang Lü, et al.
Cognitive Neurodynamics (2025) Vol. 19, Iss. 1
Closed Access
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: 21
ECG Signal Features Classification for the Mental Fatigue Recognition
Eglė Butkevičiūtė, Aleksėjus Michalkovič, Liepa Bikulčienė
Mathematics (2022) Vol. 10, Iss. 18, pp. 3395-3395
Open Access | Times Cited: 19
An Adaptive Optimized Schizophrenia Electroencephalogram Disease Prediction Framework
Varun Gupta, Abhas Kanungo, Nitin Kumar Saxena, et al.
Wireless Personal Communications (2023) Vol. 130, Iss. 2, pp. 1191-1213
Closed Access | Times Cited: 11
A novel feature extraction method using chemosensory EEG for Parkinson's disease classification
Begüm Kara Gülay, Neslihan Demirel, Alper Vahaplar, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104147-104147
Closed Access | Times Cited: 17
An accurate valvular heart disorders detection model based on a new dual symmetric tree pattern using stethoscope sounds
Prabal Datta Barua, Mehdi Karasu, Mehmet Ali Kobat, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105599-105599
Closed Access | Times Cited: 16
EEG feature selection method based on maximum information coefficient and quantum particle swarm
Wan Chen, Yanping Cai, Aihua Li, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 10
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