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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:

A Full Bayesian multivariate count data model of collision severity with spatial correlation
Sudip Barua, Karim El‐Basyouny, Md. Tazul Islam
Analytic Methods in Accident Research (2014) Vol. 3-4, pp. 28-43
Closed Access | Times Cited: 100

Showing 1-25 of 100 citing articles:

The application of XGBoost and SHAP to examining the factors in freight truck-related crashes: An exploratory analysis
Chao Yang, Mingyang Chen, Quan Yuan
Accident Analysis & Prevention (2021) Vol. 158, pp. 106153-106153
Closed Access | Times Cited: 204
Crash injury severity analysis using a two-layer Stacking framework
Jinjun Tang, Jian Liang, Chunyang Han, et al.
Accident Analysis & Prevention (2018) Vol. 122, pp. 226-238
Closed Access | Times Cited: 198
A review of spatial approaches in road safety
Απόστολος Ζιακόπουλος, George Yannis
Accident Analysis & Prevention (2019) Vol. 135, pp. 105323-105323
Closed Access | Times Cited: 180
Analyzing freeway crash severity using a Bayesian spatial generalized ordered logit model with conditional autoregressive priors
Qiang Zeng, Weihua Gu, Xuan Zhang, et al.
Accident Analysis & Prevention (2019) Vol. 127, pp. 87-95
Open Access | Times Cited: 158
Random parameters multivariate tobit and zero-inflated count data models: Addressing unobserved and zero-state heterogeneity in accident injury-severity rate and frequency analysis
Panagiotis Ch. Anastasopoulos
Analytic Methods in Accident Research (2016) Vol. 11, pp. 17-32
Closed Access | Times Cited: 150
A multivariate spatial model of crash frequency by transportation modes for urban intersections
Helai Huang, Hanchu Zhou, Jie Wang, et al.
Analytic Methods in Accident Research (2017) Vol. 14, pp. 10-21
Closed Access | Times Cited: 122
Re-visiting crash–speed relationships: A new perspective in crash modelling
Maria-Ioanna M. Imprialou, Mohammed Quddus, David Pitfield, et al.
Accident Analysis & Prevention (2015) Vol. 86, pp. 173-185
Open Access | Times Cited: 116
A multivariate random-parameters Tobit model for analyzing highway crash rates by injury severity
Qiang Zeng, Huiying Wen, Helai Huang, et al.
Accident Analysis & Prevention (2016) Vol. 99, pp. 184-191
Closed Access | Times Cited: 108
A Bayesian spatial random parameters Tobit model for analyzing crash rates on roadway segments
Qiang Zeng, Huiying Wen, Helai Huang, et al.
Accident Analysis & Prevention (2017) Vol. 100, pp. 37-43
Closed Access | Times Cited: 105
Multivariate space-time modeling of crash frequencies by injury severity levels
Xiaoxiang Ma, Suren Chen, Feng Chen
Analytic Methods in Accident Research (2017) Vol. 15, pp. 29-40
Closed Access | Times Cited: 104
Modeling nonlinear relationship between crash frequency by severity and contributing factors by neural networks
Qiang Zeng, Helai Huang, Xin Pei, et al.
Analytic Methods in Accident Research (2016) Vol. 10, pp. 12-25
Closed Access | Times Cited: 98
Jointly modeling area-level crash rates by severity: a Bayesian multivariate random-parameters spatio-temporal Tobit regression
Qiang Zeng, Qiang Guo, S.C. Wong, et al.
Transportmetrica A Transport Science (2019) Vol. 15, Iss. 2, pp. 1867-1884
Closed Access | Times Cited: 79
A negative binomial Lindley approach considering spatiotemporal effects for modeling traffic crash frequency with excess zeros
Wencheng Wang, Yang Yang, Xiaobao Yang, et al.
Accident Analysis & Prevention (2024) Vol. 207, pp. 107741-107741
Closed Access | Times Cited: 13
Spatial analysis of macro-level bicycle crashes using the class of conditional autoregressive models
Dibakar Saha, Priyanka Alluri, Albert Gan, et al.
Accident Analysis & Prevention (2018) Vol. 118, pp. 166-177
Closed Access | Times Cited: 79
Multivariate poisson lognormal modeling of crashes by type and severity on rural two lane highways
Kai Wang, John N. Ivan, Налини Равишанкер, et al.
Accident Analysis & Prevention (2016) Vol. 99, pp. 6-19
Closed Access | Times Cited: 78
A multivariate spatial crash frequency model for identifying sites with promise based on crash types
Aguero-Valverde Jonathan, Kun-Feng Wu, Eric T. Donnell
Accident Analysis & Prevention (2015) Vol. 87, pp. 8-16
Closed Access | Times Cited: 75
How is driving volatility related to intersection safety? A Bayesian heterogeneity-based analysis of instrumented vehicles data
Behram Wali, Asad J. Khattak, Hamparsum Bozdogan, et al.
Transportation Research Part C Emerging Technologies (2018) Vol. 92, pp. 504-524
Open Access | Times Cited: 73
Incorporating temporal correlation into a multivariate random parameters Tobit model for modeling crash rate by injury severity
Qiang Zeng, Huiying Wen, Helai Huang, et al.
Transportmetrica A Transport Science (2017) Vol. 14, Iss. 3, pp. 177-191
Closed Access | Times Cited: 65
Development of statistical models for improving efficiency of emergency evacuation in areas with vulnerable population
Maxim A. Dulebenets, Olumide F. Abioye, Eren Erman Özgüven, et al.
Reliability Engineering & System Safety (2018) Vol. 182, pp. 233-249
Closed Access | Times Cited: 65
Causation Analysis of Hazardous Material Road Transportation Accidents Based on the Ordered Logit Regression Model
Changxi Ma, Jibiao Zhou, Dong Yang
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 4, pp. 1259-1259
Open Access | Times Cited: 50
Effect of urban street trees on pedestrian safety: A micro-level pedestrian casualty model using multivariate Bayesian spatial approach
Manman Zhu, N.N. Sze, Sharon Newnam
Accident Analysis & Prevention (2022) Vol. 176, pp. 106818-106818
Closed Access | Times Cited: 30
A novel integrated approach to modeling and predicting crash frequency by crash event state
Angela J. Haddad, Aupal Mondal, Naveen Eluru, et al.
Analytic Methods in Accident Research (2024) Vol. 41, pp. 100319-100319
Closed Access | Times Cited: 6
A Bayesian multivariate hierarchical spatial joint model for predicting crash counts by crash type at intersections and segments along corridors
Saif A. Alarifi, Mohamed Abdel‐Aty, Jaeyoung Lee
Accident Analysis & Prevention (2018) Vol. 119, pp. 263-273
Closed Access | Times Cited: 55
A multivariate spatial approach to model crash counts by injury severity
Kun Xie, Kaan Özbay, Hong Yang
Accident Analysis & Prevention (2018) Vol. 122, pp. 189-198
Closed Access | Times Cited: 55
Spatial joint analysis for zonal daytime and nighttime crash frequencies using a Bayesian bivariate conditional autoregressive model
Qiang Zeng, Huiying Wen, S.C. Wong, et al.
Journal of Transportation Safety & Security (2018) Vol. 12, Iss. 4, pp. 566-585
Closed Access | Times Cited: 55
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