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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:

Driving Safety Risk Prediction Using Cost-Sensitive With Nonnegativity-Constrained Autoencoders Based on Imbalanced Naturalistic Driving Data
Jie Chen, Zhongcheng Wu, Jun Zhang
IEEE Transactions on Intelligent Transportation Systems (2019) Vol. 20, Iss. 12, pp. 4450-4465
Closed Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

An integrated methodology for real-time driving risk status prediction using naturalistic driving data
Qiangqiang Shangguan, Ting Fu, Junhua Wang, et al.
Accident Analysis & Prevention (2021) Vol. 156, pp. 106122-106122
Closed Access | Times Cited: 64
DSDCLA: driving style detection via hybrid CNN-LSTM with multi-level attention fusion
Jing Liu, Yang Liu, Di Li, et al.
Applied Intelligence (2023) Vol. 53, Iss. 16, pp. 19237-19254
Closed Access | Times Cited: 39
Class overlap handling methods in imbalanced domain: A comprehensive survey
A. Kumar, Dinesh Singh, Rama Shankar Yadav
Multimedia Tools and Applications (2024) Vol. 83, Iss. 23, pp. 63243-63290
Closed Access | Times Cited: 11
A traffic dynamic operation risk assessment method using driving behaviors and traffic flow Data: An empirical analysis
Haiyi Yang, Xiaohua Zhao, Sen Luan, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123619-123619
Closed Access | Times Cited: 8
Global lessons learned from naturalistic driving studies to advance traffic safety and operation research: A systematic review
Mohamed M. Ahmed, Md Nasim Khan, Anik Das, et al.
Accident Analysis & Prevention (2022) Vol. 167, pp. 106568-106568
Closed Access | Times Cited: 35
Attention-Based Convolutional and Recurrent Neural Networks for Driving Behavior Recognition Using Smartphone Sensor Data
Jun Zhang, Zhongcheng Wu, Fang Li, et al.
IEEE Access (2019) Vol. 7, pp. 148031-148046
Open Access | Times Cited: 43
Active Balancing Mechanism for Imbalanced Medical Data in Deep Learning–Based Classification Models
Hongyi Zhang, Haoke Zhang, Sandeep Pirbhulal, et al.
ACM Transactions on Multimedia Computing Communications and Applications (2020) Vol. 16, Iss. 1s, pp. 1-15
Open Access | Times Cited: 43
UFFDFR: Undersampling framework with denoising, fuzzy c-means clustering, and representative sample selection for imbalanced data classification
Ming Zheng, Tong Li, Xiaoyao Zheng, et al.
Information Sciences (2021) Vol. 576, pp. 658-680
Closed Access | Times Cited: 40
Efficient mapping of crash risk at intersections with connected vehicle data and deep learning models
Jiajie Hu, Ming-Chun Huang, Xiong Yu
Accident Analysis & Prevention (2020) Vol. 144, pp. 105665-105665
Open Access | Times Cited: 39
Driver Distraction Detection Using Octave-Like Convolutional Neural Network
Penghua Li, Yifeng Yang, Radu Grosu, et al.
IEEE Transactions on Intelligent Transportation Systems (2021) Vol. 23, Iss. 7, pp. 8823-8833
Closed Access | Times Cited: 30
Cost-sensitive semi-supervised deep learning to assess driving risk by application of naturalistic vehicle trajectories
Hongyu Hu, Qi Wang, Ming Cheng, et al.
Expert Systems with Applications (2021) Vol. 178, pp. 115041-115041
Closed Access | Times Cited: 29
A New Unsupervised Deep Learning Algorithm for Fine-Grained Detection of Driver Distraction
Bing Li, Jie Chen, Zhixiang Huang, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 10, pp. 19272-19284
Closed Access | Times Cited: 22
Driving Risk Assessment Using Non-Negative Matrix Factorization With Driving Behavior Records
Hyunwoo Seo, Jongkyung Shin, Ki-Hun Kim, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 11, pp. 20398-20412
Open Access | Times Cited: 21
An adaptive multi-class imbalanced classification framework based on ensemble methods and deep network
Xuezheng Jiang, Junyi Wang, Qinggang Meng, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 15, pp. 11141-11159
Closed Access | Times Cited: 11
Safety Assessment and Risk Management of Urban Arterial Traffic Flow Based on Artificial Driving and Intelligent Network Connection: An Overview
Yulong Pei, Lin Hou
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 5, pp. 2925-2943
Closed Access | Times Cited: 4
Risky scooter riders pay more: a usage-based insurance study of a scooter risk-aware fingerprint model without privacy issues
Wei-Hsun Lee, Jhang-Neng Lin, Ku‐Lin Wen
Journal of Intelligent Transportation Systems (2025), pp. 1-16
Closed Access
Multi-source temporal attention fusion network (MTAFN) for driving risk assessment based on naturalistic driving data
Congcong Bai, Chengcheng Yang, Donglei Rong, et al.
Expert Systems with Applications (2025), pp. 127502-127502
Closed Access
Fine-Grained Detection of Driver Distraction Based on Neural Architecture Search
Jie Chen, Yanan Jiang, Zhixiang Huang, et al.
IEEE Transactions on Intelligent Transportation Systems (2021) Vol. 22, Iss. 9, pp. 5783-5801
Closed Access | Times Cited: 26
Manifold-Contrastive Broad Learning System for Wheelset Bearing Fault Diagnosis
Ning Wang, Limin Jia, Huiyue Zhang, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 9, pp. 9886-9900
Closed Access | Times Cited: 9
Safety in Traffic Management Systems: A Comprehensive Survey
Wenlu Du, Ankan Dash, Jing Li, et al.
Designs (2023) Vol. 7, Iss. 4, pp. 100-100
Open Access | Times Cited: 9
Travel Mode Choice Prediction Using Imbalanced Machine Learning
Huanfa Chen, Yan Cheng
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 4, pp. 3795-3808
Open Access | Times Cited: 8
Performance Evaluation of Driving Behavior Identification Models through CAN-BUS Data
Mozhgan Nasr Azadani, Azzedine Boukerche
2022 IEEE Wireless Communications and Networking Conference (WCNC) (2020), pp. 1-6
Closed Access | Times Cited: 22
A data aggregation-based spatiotemporal model for rail transit risk path forecasting
Gang Xue, Shifeng Liu, Long Ren, et al.
Reliability Engineering & System Safety (2023) Vol. 239, pp. 109530-109530
Closed Access | Times Cited: 7
Context-aware driver risk prediction with telematics data
Sobhan Moosavi, Rajiv Ramnath
Accident Analysis & Prevention (2023) Vol. 192, pp. 107269-107269
Closed Access | Times Cited: 6
A Fault Diagnosis Method for Rolling Bearings Based on Parameter Transfer Learning under Imbalance Data Sets
Cheng Peng, Lingling Li, Qing Chen, et al.
Energies (2021) Vol. 14, Iss. 4, pp. 944-944
Open Access | Times Cited: 15
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