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:

Privacy-Preserving Federated Transfer Learning for Driver Drowsiness Detection
Linlin Zhang, Hideo Saitô, Liang Yang, et al.
IEEE Access (2022) Vol. 10, pp. 80565-80574
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Spatial–Temporal Federated Transfer Learning with multi-sensor data fusion for cooperative positioning
Xiaokang Zhou, Qiuyue Yang, Qiang Liu, et al.
Information Fusion (2023) Vol. 105, pp. 102182-102182
Closed Access | Times Cited: 41
Approximate homomorphic encryption based privacy-preserving machine learning: a survey
Jiangjun Yuan, Weinan Liu, Jiawen Shi, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 3
Open Access | Times Cited: 1
A review of secure federated learning: Privacy leakage threats, protection technologies, challenges and future directions
Lina Ge, Haiao Li, Xiao Wang, et al.
Neurocomputing (2023) Vol. 561, pp. 126897-126897
Closed Access | Times Cited: 21
Federated Transfer–Ordered–Personalized Learning for Driver Monitoring Application
Liangqi Yuan, Lü Su, Ziran Wang
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 20, pp. 18292-18301
Open Access | Times Cited: 16
Distributed Learning in the IoT–Edge–Cloud Continuum
Audris Arzovs, Jānis Judvaitis, Krišjānis Nesenbergs, et al.
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 1, pp. 283-315
Open Access | Times Cited: 6
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
Towards driver distraction detection: a privacy-preserving federated learning approach
Wenguang Zhou, Zhiwei Jia, Chao Feng, et al.
Peer-to-Peer Networking and Applications (2024) Vol. 17, Iss. 2, pp. 896-910
Closed Access | Times Cited: 3
Deep Reinforcement Learning Based Vehicle Selection for Asynchronous Federated Learning Enabled Vehicular Edge Computing
Qiong Wu, Siyuan Wang, Pingyi Fan, et al.
Communications in computer and information science (2023), pp. 3-26
Closed Access | Times Cited: 4
Communication-Efficient Personalized Federated Learning for Digital Twin in Heterogeneous Industrial IoT
Zhihan Wang, Xiangxue Ma, Haixia Zhang, et al.
2022 IEEE International Conference on Communications Workshops (ICC Workshops) (2023), pp. 237-241
Closed Access | Times Cited: 4
Driver fatigue detection method based on temporal–spatial adaptive networks and adaptive temporal fusion module
Xiangshuai Lv, Guoqiang Zheng, Huihui Zhai, et al.
Computers & Electrical Engineering (2024) Vol. 119, pp. 109540-109540
Closed Access | Times Cited: 1
Scenario Complexity Evaluation Method Of Intelligent Driving Real Road Test Based On Operational Design Condition
Linlin Zhang, Hang Sun, Zixi Li
(2024) Vol. 12, pp. 154-162
Closed Access | Times Cited: 1
Drowsiness Detection in Drivers Using Facial Feature Analysis
Ebenezer Essel, Fred Lacy, Fatema A. Albalooshi, et al.
Applied Sciences (2024) Vol. 15, Iss. 1, pp. 20-20
Open Access | Times Cited: 1
Convolutional Neural Networks (CNN) and Facial Features based Smart Driver Alertness Detection
Kishor Kumar, M. Chidanand, S. L. Jany Shabu, et al.
2022 6th International Conference on Trends in Electronics and Informatics (ICOEI) (2023), pp. 787-792
Closed Access | Times Cited: 2
Federated Learning for Drowsiness Detection in Connected Vehicles
William Lindskog, Valentin Spannagl, Christian Prehofer
(2023), pp. 165-178
Closed Access | Times Cited: 2
Survey Paper on the Driver Drowsiness Detection using IoT
Mrs. Nilima Pagar, Tanaya Chavan, Shradha Gholap, et al.
International Journal of Advanced Research in Science Communication and Technology (2024), pp. 227-232
Open Access
Scaling effectivity in manifold methodologies to detect driver’s fatigueness and drowsiness state
Gowrishankar Shiva Shankara Chari, Jyothi Arcot Prashant
IAES International Journal of Artificial Intelligence (2024) Vol. 13, Iss. 2, pp. 1227-1227
Open Access
Credit risk prediction for small and micro enterprises based on Federated Transfer Learning frozen network parameters
Xiaolei Yang, Zhixin Xia, Junhui Song, et al.
Journal of Network and Computer Applications (2024) Vol. 232, pp. 104009-104009
Closed Access
DenseFed-PSO: Particle Swarm Optimization-Based DenseNet Federated Model in Alzheimer's Detection
Ananya Ghosh, S. Gayathri
Smart innovation, systems and technologies (2024), pp. 229-243
Closed Access
FMIF: facial multi-feature information fusion for driver fatigue detection
Xingzhu Liang, Wei Yao, Xianjin Fang, et al.
Signal Image and Video Processing (2024) Vol. 19, Iss. 2
Closed Access
Privacy-preserving hierarchical federated learning with biosignals to detect drowsiness while driving
Sergio López Bernal, José Manuel Hidalgo Rogel, Enrique Tomás Martínez Beltrán, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 32, pp. 20425-20437
Open Access
Driver Safety and Drowsiness Detection in Internet of Vehicles with Federated Learning
Satadal Banerjee, Mulagala Sandhya, Y. Sreenivasa Rao
Lecture notes in networks and systems (2024), pp. 61-70
Closed Access
A Driver Fatigue Detection Framework with Convolutional Neural Network and Long Short-Term Memory Network
Ruyi Bao, Nazia Hameed, Adam Walker
Communications in computer and information science (2024), pp. 283-297
Closed Access
Vigilance Monitoring for Safer Driving and Passenger Protection using ML
Anshula Gupta, Harsh Vardhan, SHIVANI SHIVANI, et al.
2022 7th International Conference on Communication and Electronics Systems (ICCES) (2023), pp. 1191-1197
Closed Access | Times Cited: 1
Blockchain-FRL for Vehicular Lane Changing: Toward Traffic, Data, and Training Safety
Bo Fan, Yiwei Dong, Tongfei Li, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 24, pp. 22153-22164
Closed Access | Times Cited: 1
Mobility-Aware Asynchronous Federated Learning for Edge-Assisted Vehicular Networks
Siyuan Wang, Qiong Wu, Qiang Fan, et al.
ICC 2022 - IEEE International Conference on Communications (2023), pp. 3621-3626
Closed Access | Times Cited: 1
Page 1 - Next Page

Scroll to top