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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:

Application of explainable machine learning for real-time safety analysis toward a connected vehicle environment
Yuan Chen, Ye Li, Helai Huang, et al.
Accident Analysis & Prevention (2022) Vol. 171, pp. 106681-106681
Closed Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

Explicitly incorporating surrogate safety measures into connected and automated vehicle longitudinal control objectives for enhancing platoon safety
Yulu Dai, Chen Wang, Yuanchang Xie
Accident Analysis & Prevention (2023) Vol. 183, pp. 106975-106975
Closed Access | Times Cited: 24
Real-time crash risk prediction in freeway tunnels considering features interaction and unobserved heterogeneity: A two-stage deep learning modeling framework
Jieling Jin, Helai Huang, Yuan Chen, et al.
Analytic Methods in Accident Research (2023) Vol. 40, pp. 100306-100306
Closed Access | Times Cited: 23
Built environment influences commute mode choice in a global south megacity context: Insights from explainable machine learning approach
Fajle Rabbi Ashik, A.I.Z. Sreezon, Md. Hamidur Rahman, et al.
Journal of Transport Geography (2024) Vol. 116, pp. 103828-103828
Open Access | Times Cited: 11
Explainable artificial intelligence in transport Logistics: Risk analysis for road accidents
Ismail Abdulrashid, Reza Zanjirani Farahani, Shamkhal Mammadov, et al.
Transportation Research Part E Logistics and Transportation Review (2024) Vol. 186, pp. 103563-103563
Closed Access | Times Cited: 11
Exploring the Efficacy of Artificial Intelligence in Speed Prediction: Explainable Machine-Learning Approach
Vineet Jain, Rajesh Chouhan, Ashish Dhamaniya
Journal of Computing in Civil Engineering (2025) Vol. 39, Iss. 2
Closed Access | Times Cited: 1
Traffic conflict assessment using macroscopic traffic flow variables: A novel framework for real-time applications
Ninad Gore, Ritvik Chauhan, Said M. Easa, et al.
Accident Analysis & Prevention (2023) Vol. 185, pp. 107020-107020
Closed Access | Times Cited: 20
Enhancing road safety through advanced predictive analytics in V2X communication networks
Fuad A. M. Al‐Yarimi
Computers & Electrical Engineering (2024) Vol. 115, pp. 109134-109134
Closed Access | Times Cited: 8
Intrusion detection using metaheuristic optimization within IoT/IIoT systems and software of autonomous vehicles
Pavle Dakić, Miodrag Živković, Luka Jovanovic, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7
Fusing XGBoost and SHAP Models for Maritime Accident Prediction and Causality Interpretability Analysis
Cheng Zhang, Zou Xiong, Chuan Lin
Journal of Marine Science and Engineering (2022) Vol. 10, Iss. 8, pp. 1154-1154
Open Access | Times Cited: 27
Novel hyper-tuned ensemble Random Forest algorithm for the detection of false basic safety messages in Internet of Vehicles
Goodness Oluchi Anyanwu, Cosmas Ifeanyi Nwakanma, Jae Min Lee, et al.
ICT Express (2022) Vol. 9, Iss. 1, pp. 122-129
Open Access | Times Cited: 26
Using Explainable Machine Learning to Interpret the Effects of Policies on Air Pollution: COVID-19 Lockdown in London
Liang Ma, Daniel J. Graham, Marc Stettler
Environmental Science & Technology (2023) Vol. 57, Iss. 46, pp. 18271-18281
Open Access | Times Cited: 12
An integrative approach to generating explainable safety assessment scenarios for autonomous vehicles based on Vision Transformer and SHAP
Minhee Kang, Keeyeon Hwang, Young Yoon
Accident Analysis & Prevention (2025) Vol. 211, pp. 107902-107902
Closed Access
A deep transfer learning approach for Real-Time traffic conflict prediction with trajectory data
Qinzhong Hou, Yonghao Yang, Jun Liang, et al.
Accident Analysis & Prevention (2025) Vol. 214, pp. 107966-107966
Closed Access
Modelling the impact of risky cut-in and cut-out manoeuvers on traffic platooning safety with predictability and explainability
Qiangqiang Shangguan, Junhua Wang, Cailin Lei, et al.
Transportmetrica A Transport Science (2025), pp. 1-26
Closed Access
Bridging Predictive Insights and Retention Strategies: The Role of Account Balance in Banking Churn Prediction
Tahsien Al‐Quraishi, O. S. Albahri, A. S. Albahri, et al.
AI (2025) Vol. 6, Iss. 4, pp. 73-73
Open Access
Improvements aiming at a safer living environment by analyzing crash severity through the use of boosting-based ensemble learning techniques
Kamran Aziz, Feng Chen, Afaq Khattak
International Journal of Crashworthiness (2025), pp. 1-16
Closed Access
Causal Modeling for Stable Traffic Conflict Risk Assessment in Expressway Weaving Segments
Jingya Zhao, Haobin Jiang, Xia Zhao, et al.
(2025)
Closed Access
How do macroscopic traffic flow parameters affect time spent in conflict on freeways? A comprehensive analysis using hazard-based duration models
Ran Zhang, Jing Cai, Fengxiang Guo, et al.
Traffic Injury Prevention (2025), pp. 1-8
Closed Access
Sight distance analysis of vehicles with driving automation on horizontal curves of as-built highway tunnels
Shuyi Wang, Jiakun Zhang, Yang Ma, et al.
Tunnelling and Underground Space Technology (2025) Vol. 163, pp. 106719-106719
Closed Access
A trajectory data-driven approach for traffic risk prediction: incorporating variable interactions and pre-screening
Dan Wu, Jaeyoung Lee, Ye Li
International Journal of Urban Sciences (2024), pp. 1-29
Closed Access | Times Cited: 3
Spatiotemporal urban traffic safety analytical framework by integrating nonparametric approaches
Youngwoong Kim, Dongwoo Lee, Sybil Derrible
Accident Analysis & Prevention (2025) Vol. 218, pp. 108088-108088
Closed Access
A robust fleet-based anomaly detection framework applied to wind turbine vibration data
Gustavo de Novaes Pires Leite, Felipe Farias, Tiago Gomes de Sá, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106859-106859
Closed Access | Times Cited: 9
Toward safer highway work zones: An empirical analysis of crash risks using improved safety potential field and machine learning techniques
Bo Wang, Tianyi Chen, Chi Zhang, et al.
Accident Analysis & Prevention (2023) Vol. 194, pp. 107361-107361
Closed Access | Times Cited: 8
Who and why will leave me? Utilizing Machine Learning-Based Models to Anticipate and Manage Employee Turnover
Chiara Morelli, Gianluca Fusai, Raffaele Zenti
SSRN Electronic Journal (2024)
Closed Access | Times Cited: 3
Surrogate Safety Assessment of Traffic Facilities under Ordered and Disordered Traffic Condition: Systematic Literature Review
Dungar Singh, Pritikana Das, Indrajit Ghosh
KSCE Journal of Civil Engineering (2023) Vol. 27, Iss. 11, pp. 5008-5029
Closed Access | Times Cited: 7
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