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:

Combining emerging hotspots analysis with XGBoost for modeling pedestrian injuries in pedestrian-vehicle crashes: a case study of North Carolina
Yang Li, Wei Fan, Li Song, et al.
Journal of Transportation Safety & Security (2023) Vol. 15, Iss. 11, pp. 1203-1225
Closed Access | Times Cited: 7

Showing 7 citing articles:

Discovering impacts of built environment on transit ridership in the post-COVID era: Policy intervention and nonlinear dynamics
Zhe Ding, Enhui Chen, Jing Teng
International Journal of Transportation Science and Technology (2025)
Open Access

Identifying nonlinear effects of factors on hit-and-run crashes using interpretable machine learning techniques
Liang Xu, Yilong Ren, Haiyang Yu, et al.
Journal of Transportation Safety & Security (2024) Vol. 16, Iss. 10, pp. 1163-1183
Closed Access | Times Cited: 2

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: 2

Factors affecting pedestrian injury severity in pedestrian-vehicle crashes: Insights from a data mining and mixed logit model approach
Huijie Ouyang, Yin Han, Pengfei Liu, et al.
Journal of Transportation Safety & Security (2023) Vol. 16, Iss. 9, pp. 1015-1038
Closed Access | Times Cited: 4

LiDAR Dynamic Target Detection Based on Multidimensional Features
Aigong Xu, Jiaxin Gao, Xin Sui, et al.
Sensors (2024) Vol. 24, Iss. 5, pp. 1369-1369
Open Access | Times Cited: 1

Using LightGBM with SHAP for predicting and analyzing traffic accidents severity
Jinqiang Li, Yuying Guo, Li Li, et al.
(2023), pp. 2150-2155
Closed Access | Times Cited: 2

Exploring Factors Contributing to Pedestrian Injury Severity in Pedestrian–Vehicle Crashes: An Integrated XGBoost–SHAP, Latent Cluster, and Mixed Logit Approach
Huijie Ouyang, Pengfei Liu, Yin Han
Journal of Transportation Engineering Part A Systems (2024) Vol. 151, Iss. 2
Closed Access

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