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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 drowsiness detection and smart alerting using deep learning and IoT
Anh-Cang Phan, Thanh-Ngoan Trieu, Thuong‐Cang Phan
Internet of Things (2023) Vol. 22, pp. 100705-100705
Closed Access | Times Cited: 23

Showing 23 citing articles:

A Brief Review on Flexible Electronics for IoT: Solutions for Sustainability and New Perspectives for Designers
Graziella Scandurra, Antonella Arena, C. Ciofi
Sensors (2023) Vol. 23, Iss. 11, pp. 5264-5264
Open Access | Times Cited: 14
Facial Feature-Based Drowsiness Detection With Multi-Scale Convolutional Neural Network
V. Vijaypriya, Uma M
IEEE Access (2023) Vol. 11, pp. 63417-63429
Open Access | Times Cited: 14
Design of a System for Driver Drowsiness Detection and Seat Belt Monitoring Using Raspberry Pi 4 and Arduino Nano
Anthony Alvarez Oviedo, Jhojan Felipe Mamani Villanueva, German Alberto Echaiz Espinoza, et al.
Designs (2025) Vol. 9, Iss. 1, pp. 11-11
Open Access
Real-Time Driver Drowsiness Detection Using Facial Analysis and Machine Learning Techniques
Siham Essahraui, Ismail Lamaakal, Ikhlas El Hamly, et al.
Sensors (2025) Vol. 25, Iss. 3, pp. 812-812
Open Access
Precise Driver’s Drowsiness Detection Using a Combination of Proven Methods with a Single Layer Neural Network
Ghazal Abdolbaghi, Alireza Yazdizadeh
Communications in computer and information science (2025), pp. 74-82
Closed Access
Social network analysis in driver monitoring systems: understanding the impact of predictive models on driver safety
S. Madhumita, A. Jeyasekar
Social Network Analysis and Mining (2025) Vol. 15, Iss. 1
Open Access
Internet of Things-enabled unmanned aerial vehicles for real-time traffic mobility analysis in smart cities
Murat Bakırcı
Computers & Electrical Engineering (2025) Vol. 123, pp. 110313-110313
Closed Access
Driver Drowsiness Detection Based on Convolutional Neural Network Architecture Optimization Using Genetic Algorithm
Yashar Jebraeily, Yousef Sharafi, Mohammad Teshnehlab
IEEE Access (2024) Vol. 12, pp. 45709-45726
Closed Access | Times Cited: 3
Reliable data transmission for a VANET-IoIT architecture: A DNN approach
Joydev Ghosh, Neeraj Kumar, Khaled A. Al-Utaibi, et al.
Internet of Things (2024) Vol. 25, pp. 101129-101129
Closed Access | Times Cited: 2
DrowsyDetectNet: Driver Drowsiness Detection Using Lightweight CNN With Limited Training Data
Madduri Venkateswarlu, Venkata Rami Reddy
IEEE Access (2024) Vol. 12, pp. 110476-110491
Open Access | Times Cited: 1
A New Method for Detecting the Fatigue Using Automated Deep Learning Techniques for Medical Imaging Applications
Naveen Sundar Gnanadesigan, G. A. Lincoln, Narmadha Dhanasegar, et al.
Wireless Personal Communications (2024) Vol. 135, Iss. 2, pp. 1009-1034
Closed Access | Times Cited: 1
Internet of things assisted deep learning enabled driver drowsiness monitoring and alert system using CNN-LSTM framework
Sibu Philip Soman, G Senthil Kumar, Suri babu Nuthalapati, et al.
Engineering Research Express (2024) Vol. 6, Iss. 4, pp. 045239-045239
Closed Access | Times Cited: 1
Real-time Driver Drowsiness Detection System using Cascaded ConvNet Framework
Nongmeikapam Thoiba Singh, Saurav Kumar, Nishant Kumar Pathak, et al.
(2023), pp. 828-833
Closed Access | Times Cited: 2
RFID based Smart Public Transit System
Venkata Subba Reddy Bakka, Sai Sri Nidhin Tankala, Aarthi Bodumallu Gardannagari, et al.
(2023), pp. 139-144
Closed Access | Times Cited: 2
In the Blink of an Eye: Insomnia Microexpression Classification Using CNN-LSTM
Pritha Singha Roy, Vinay Kukreja, Nisha Chandran S, et al.
(2024), pp. 1-6
Closed Access
Smart Road Safety: An IoT Approach to Driver Drowsiness Detection and Prevention
Sheela S Maharajpet, Nagaraj C Talwar, Gautam A Dematti
(2024), pp. 123-137
Closed Access
Drowsiness Detection Using Adaboost Method and Haar Cascade Classifier to Improve Safety of Drivers
S. K. Niranjan, T. Jemima Jebaseeli, A. Samson Arun Raj, et al.
Lecture notes in networks and systems (2024), pp. 131-141
Closed Access
Automatic Detection of Driver Drowsiness and Distraction for Public Safety: Deep Learning Based Approach
K. Jaspin, G S Joshna, N S Pooja Lakshmi
(2024), pp. 1-6
Closed Access
Human Abnormal Activity Detection Using CNN and LSTM
B. Induja, V. Loganathan
IFIP advances in information and communication technology (2024), pp. 197-209
Closed Access
Exploring Subjective Sleepiness with UnnCyberpsy, a Web-Based Psychophysiological Research Tool
Валерия Демарева, Valeriia Viakhireva, Irina Zayceva, et al.
Journal on Interactive Systems (2024) Vol. 15, Iss. 1, pp. 897-903
Open Access
“UnnCyberpsy”: A Web Application for Psychophysiological Research of Subjective Sleepiness Dynamics
Валерия Демарева, Valeriia Viakhireva, Andrey Demarev, et al.
Springer geography (2024), pp. 173-181
Closed Access
A CNN- based Improved Walrus Optimization Algorithm to Detect Driver Drowsiness
Maha Yasir Jumaah, Osama Majeed Hilal, Alaa Taima Albu-Salih
(2024), pp. 666-671
Closed Access
Eye and People Counting Using Haar Cascade and NVIDIA Jetson Nano for Ad Analysis
Cakra Adipura Wicaksana, Wahyu Hidayat, Muhammad Iman Santoso, et al.
(2023), pp. 345-350
Closed Access
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