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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:

Exploring the Mechanism of Crashes with Autonomous Vehicles Using Machine Learning
Hengrui Chen, Hong Chen, Ruiyu Zhou, et al.
Mathematical Problems in Engineering (2021) Vol. 2021, pp. 1-10
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

A comparative study of collision types between automated and conventional vehicles using Bayesian probabilistic inferences
Norris Novat, Emmanuel Kidando, Boniphace Kutela, et al.
Journal of Safety Research (2022) Vol. 84, pp. 251-260
Open Access | Times Cited: 39
What can we learn from the AV crashes? – An association rule analysis for identifying the contributing risky factors
Pei Liu, Yanyong Guo, Pan Liu, et al.
Accident Analysis & Prevention (2024) Vol. 199, pp. 107492-107492
Closed Access | Times Cited: 11
Classifying crash causation patterns in 2-vehicle collisions between autonomous and conventional vehicles
Jie Wang, Yibo Chen, Li Shun, et al.
Traffic Injury Prevention (2025), pp. 1-8
Closed Access | Times Cited: 1
Analysis of pre-crash scenarios and contributing factors for autonomous vehicle crashes at intersections
Qian Liu, Xuesong Wang, Shikun Liu, et al.
Accident Analysis & Prevention (2023) Vol. 195, pp. 107383-107383
Closed Access | Times Cited: 21
Exploratory analysis of injury severity under different levels of driving automation (SAE Levels 2 and 4) using multi-source data
Shengxuan Ding, Mohamed Abdel‐Aty, Natalia Barbour, et al.
Accident Analysis & Prevention (2024) Vol. 206, pp. 107692-107692
Closed Access | Times Cited: 8
A Machine Learning approach for collision avoidance and path planning of mobile robot under dense and cluttered environments
Subhranil Das, Sudhanshu Mishra
Computers & Electrical Engineering (2022) Vol. 103, pp. 108376-108376
Closed Access | Times Cited: 27
Static and dynamic resilience assessment for sustainable urban transportation systems: A case study of Xi 'an, China
Hengrui Chen, Ruiyu Zhou, Hong Chen, et al.
Journal of Cleaner Production (2022) Vol. 368, pp. 133237-133237
Closed Access | Times Cited: 23
Integrating FRAM and BN for enhanced resilience evaluation in construction emergency response: A scaffold collapse case study
Zihao Guo, Jianjun She, Zhijian Li, et al.
Heliyon (2024) Vol. 10, Iss. 3, pp. e25342-e25342
Open Access | Times Cited: 6
Advancing autonomous vehicle safety assessment: A novel methodology for moving from functional to concrete scenarios using kinetic 3D-LiDAR and SHAP
Minhee Kang, Saeyan Eom, Keeyeon Hwang
Results in Engineering (2024) Vol. 24, pp. 103364-103364
Closed Access | Times Cited: 5
Interpretable Dynamic Ensemble Selection Approach for the Prediction of Road Traffic Injury Severity: A Case Study of Pakistan’s National Highway N-5
Afaq Khattak, Hamad Almujibah, Ahmed S. Elamary, et al.
Sustainability (2022) Vol. 14, Iss. 19, pp. 12340-12340
Open Access | Times Cited: 21
Analyzing Autonomous Vehicle Collision Types to Support Sustainable Transportation Systems: A Machine Learning and Association Rules Approach
Ehsan Kohanpour, Seyed Rasoul Davoodi, Khaled Shaaban
Sustainability (2024) Vol. 16, Iss. 22, pp. 9893-9893
Open Access | Times Cited: 4
Research on Traffic Situation Analysis for Urban Road Network Through Spatiotemporal Data Mining: A Case Study of Xi’an, China
Ruiyu Zhou, Hong Chen, Hengrui Chen, et al.
IEEE Access (2021) Vol. 9, pp. 75553-75567
Open Access | Times Cited: 24
Identifying the Roadway Infrastructure Factors Affecting Road Accidents Using Interpretable Machine Learning and Data Augmentation
Jong-Hak Lee, Sangyoup Kim, Tae‐Young Heo, et al.
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 501-501
Open Access
Joint analysis of crash injury severities for autonomous and conventional vehicles in mixed traffic environments: Application of random parameter bivariate probit model
Jian Xiang, Zhengwu Wang, Yibo Chen, et al.
Accident Analysis & Prevention (2025) Vol. 215, pp. 108017-108017
Closed Access
Could Disengagement Reports Indicate Evolution of Autonomous Vehicles?
Adam Skokan, Jan Mareček
Vehicles (2025) Vol. 7, Iss. 2, pp. 32-32
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
A Novel Bayesian Optimized-Combined Kernel & Tree Boost Approach for Road Traffic Crash Severity Analysis
Kamran Aziz, Feng Chen, Afaq Khattak
International Journal of Civil Engineering (2025)
Closed Access
Synthesizing fatal crashes involving partially automated vehicles and comparing with fatal crashes involving non-automated vehicles
Hardik Gajera, Srinivas S. Pulugurtha, Sonu Mathew, et al.
Transportation Engineering (2023) Vol. 12, pp. 100178-100178
Open Access | Times Cited: 7
Understanding key factors in automated vehicle collisions: Automating data extraction and analyzing key insights using explainable AI
Saquib Mohammed Haroon, Alyssa Ryan
Journal of Transportation Safety & Security (2024) Vol. 16, Iss. 11, pp. 1283-1306
Closed Access | Times Cited: 2
Information fusion and multi-classifier system for miner fatigue recognition in plateau environments based on electrocardiography and electromyography signals
Shoukun Chen, Kaili Xu, Xiwen Yao, et al.
Computer Methods and Programs in Biomedicine (2021) Vol. 211, pp. 106451-106451
Closed Access | Times Cited: 14
Sitting posture influence in autonomous vehicles for the evaluation of occupant safety in side impact
Mónica Diez, Julio Abajo, Jesús Vázquez de Prada, et al.
Safety Science (2022) Vol. 159, pp. 106002-106002
Closed Access | Times Cited: 10
Leveraging autonomous vehicles crash narratives to understand the patterns of parking-related crashes
Boniphace Kutela, Richard Dzinyela, Henrick Haule, et al.
Traffic Safety Research (2023) Vol. 4, pp. 000033-000033
Open Access | Times Cited: 4
Exploring the Efficiency of Random Forest, Support Vector Machine, and Artificial Neural Network in Traffic Crash Data
Raju Bhele, Aayushman Subedi, Bibek Thapa, et al.
2022 International Conference on Inventive Computation Technologies (ICICT) (2024)
Closed Access | Times Cited: 1
An Integrated Scenario-Based Testing and Explanation Framework for Autonomous Vehicles
Quentin Goss, William C. Pate, Mustafa İlhan Akbaş
(2024), pp. 60-71
Closed Access | Times Cited: 1
Descriptive analysis of reports on autonomous vehicle collisions in California: January 2021–June 2022
Petr Pokorny, Alena Høye
Traffic Safety Research (2022) Vol. 2, pp. 000011-000011
Open Access | Times Cited: 6
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