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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:

Integrating machine learning into path analysis for quantifying behavioral pathways in bicycle-motor vehicle crashes
Weike Lu, Jun Liu, Xing Fu, et al.
Accident Analysis & Prevention (2022) Vol. 168, pp. 106622-106622
Closed Access | Times Cited: 20

Showing 20 citing articles:

Machine learning approaches to estimate suspension parameters for performance degradation assessment using accurate dynamic simulations
Yongjun Pan, Yu Sun, Zhixiong Li, et al.
Reliability Engineering & System Safety (2022) Vol. 230, pp. 108950-108950
Closed Access | Times Cited: 37
Evaluating expressway traffic crash severity by using logistic regression and explainable & supervised machine learning classifiers
J.P.S. Shashiprabha Madushani, Kelum Sandamal, D.P.P. Meddage, et al.
Transportation Engineering (2023) Vol. 13, pp. 100190-100190
Open Access | Times Cited: 29
Critical review on data-driven approaches for learning from accidents: Comparative analysis and future research
Yi Niu, Yunxiao Fan, Xing Ju
Safety Science (2023) Vol. 171, pp. 106381-106381
Closed Access | Times Cited: 18
Post-pandemic shared mobility and active travel in Alabama: A machine learning analysis of COVID-19 survey data
Ningzhe Xu, Qifan Nie, Jun Liu, et al.
Travel Behaviour and Society (2023) Vol. 32, pp. 100584-100584
Open Access | Times Cited: 17
Multi-Fault Detection and Classification of Wind Turbines Using Stacking Classifier
Prince Waqas Khan, Yung-Cheol Byun
Sensors (2022) Vol. 22, Iss. 18, pp. 6955-6955
Open Access | Times Cited: 23
Linking short- and long-term impacts of the COVID-19 pandemic on travel behavior and travel preferences in Alabama: A machine learning-supported path analysis
Ningzhe Xu, Qifan Nie, Jun Liu, et al.
Transport Policy (2024) Vol. 151, pp. 46-62
Closed Access | Times Cited: 4
A hybrid approach for modeling bicycle crash frequencies: Integrating random forest based SHAP model with random parameter negative binomial regression model
Hongliang Ding, Ruiqi Wang, Tiantian Chen, et al.
Accident Analysis & Prevention (2024) Vol. 208, pp. 107778-107778
Closed Access | Times Cited: 4
Is there any association of local characteristics with traffic signal and stop sign violation induced crashes? A hierarchical modeling based study from Alabama, USA
Md Musfiqur Rahman Bhuiya, Jun Liu, Steven Jones, et al.
Case Studies on Transport Policy (2025), pp. 101390-101390
Closed Access
Bicycle crash frequency modeling across different crash severities using a random-forest-based Shapley Additive explanations approach
Tao Li, Ruiqi Wang, Hongliang Ding, et al.
International Journal of Injury Control and Safety Promotion (2025), pp. 1-14
Closed Access
Analysis of first responder-involved traffic incidents by mining news reports
Chenxuan Yang, Jun Liu, Xiaobing Li, et al.
Accident Analysis & Prevention (2023) Vol. 192, pp. 107261-107261
Closed Access | Times Cited: 7
Analysis of vehicle pedestrian crash severity using advanced machine learning techniques
Siyab Ul Arifeen, Mujahid Ali, Elżbieta Macioszek
Archives of Transport (2023) Vol. 68, Iss. 4, pp. 91-116
Open Access | Times Cited: 7
Factors affecting crash severity in Roundabouts: A comprehensive analysis in the Jordanian context
Huthaifa I. Ashqar, Taqwa I. Alhadidi, Mohammed Elhenawy, et al.
Transportation Engineering (2024) Vol. 17, pp. 100261-100261
Open Access | Times Cited: 2
Vehicle-to-Cyclist Collision Prediction Models by Applying Machine Learning Techniques to Virtual Reality Bicycle Simulator Data
Ángel Losada, Francisco Javier Páez, Francisco Luque, et al.
Applied Sciences (2024) Vol. 14, Iss. 9, pp. 3570-3570
Open Access | Times Cited: 1
Evaluating the impacts of vehicle-mounted Variable Message Signs on passing vehicles: implications for protecting roadside incident and service personnel
Jun Liu, Xing Fu, Alexander M. Hainen, et al.
Journal of Intelligent Transportation Systems (2023) Vol. 28, Iss. 6, pp. 846-866
Closed Access | Times Cited: 4
Predicting Bicycle-Involved Crashes in the SCAG Region: A Machine Learning Analysis Using HSIS Data from California State
Ramina Javid, Eazaz Sadeghvaziri, Seyedmirsajad Mokhtarimousavi, et al.
International Conference on Transportation and Development 2022 (2024) Vol. 51, pp. 305-314
Closed Access
A machine learning approach to understanding the road and traffic environments of crashes involving driver distraction and inattention (DDI) on rural multilane highways
Chenxuan Yang, Jun Liu, Zihe Zhang, et al.
Journal of Safety Research (2024) Vol. 92, pp. 14-26
Closed Access
Fault prognosis of wind turbines using multimodal machine learning
Prince Waqas Khan, Yung Cheol Byun
Energy Reports (2024) Vol. 12, pp. 4938-4952
Closed Access
Pre-Crash Scenario Analysis of Non-Motorized Vehicle Crashes at Signalized Intersections
Chunting Nie, Xuesong Wang, Heng Wei, et al.
(2023)
Closed Access
Review previous studies of machine learning techniques to analyze road traffic accidents in different countries
Salman Alhaddad, Ahmed M. Zeki
(2023), pp. 359-364
Closed Access
An Application of Deep Learning for Detecting Bicycle Collision Hotspots
Hee-Jung Jun, Seoyoon Kang, Seungyeoup Kang, et al.
Journal of Korea Planning Association (2022) Vol. 57, Iss. 7, pp. 41-54
Closed Access
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