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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.

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Showing 9 citing articles:

Bayesian hybrid gamma-GPD model for extreme traffic conflict threshold determination in the peak over threshold approach
Quansheng Yue, Yanyong Guo, Tarek Sayed, et al.
Accident Analysis & Prevention (2024) Vol. 206, pp. 107717-107717
Closed Access | Times Cited: 10
Modeling the risk of single-vehicle run-off-road crashes on horizontal curves using connected vehicle data
Yuzhi Chen, Chen Wang, Yuanchang Xie
Analytic Methods in Accident Research (2024) Vol. 43, pp. 100333-100333
Closed Access | Times Cited: 6
A cross-comparison of different extreme value modeling techniques for traffic conflict-based crash risk estimation
Depeng Niu, Tarek Sayed, Chuanyun Fu, et al.
Analytic Methods in Accident Research (2024) Vol. 44, pp. 100352-100352
Open Access | Times Cited: 5
Traffic conflict-based crash risk estimation: machine learning meets extreme value theory
Lai Zheng, Wei Wei
Transportmetrica A Transport Science (2025), pp. 1-29
Closed Access
Autonomous vehicle lane-changing dynamics and impact on the immediate follower
Yasir Ali
Analytic Methods in Accident Research (2025), pp. 100388-100388
Open Access
Real-time lane-changing crash prediction model at the individual vehicle level using real-world trajectories prior to crashes
Kequan Chen, Zhibin Li, Pan Liu, et al.
Transportation Research Part C Emerging Technologies (2025) Vol. 176, pp. 105171-105171
Closed Access
Pedestrian crash risk analysis using extreme value models: New insights and evidence
Ampereza Ankunda, Yasir Ali, Malaya Mohanty
Accident Analysis & Prevention (2024) Vol. 203, pp. 107633-107633
Closed Access | Times Cited: 3
Integrating machine learning and extreme value theory for estimating crash frequency-by-severity via AI-based video analytics
Fizza Hussain, Yuefeng Li, Md. Mazharul Haque
Communications in Transportation Research (2024) Vol. 4, pp. 100147-100147
Closed Access | Times Cited: 3
Ai and Employee Well-Being in the Workplace: An Empirical Study
Alena Valtonen, Minna Saunila, Juhani Ukko, et al.
(2024)
Closed Access
Investigation of a surrogate measure-based safety index for predicting injury crashes at signalized intersections
Maryam Hasanpour, Bhagwant Persaud, R. S. Mansell, et al.
Traffic Injury Prevention (2024), pp. 1-10
Closed Access
A Hybrid Approach for Detection of Anomalies in Surveillance Videos using ConvLSTM and Mask R-CNN
Rahul Chiranjeevi, H Keerthana, N. Karthikeyan
(2024), pp. 1-7
Closed Access
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