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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:

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: 67

Showing 1-25 of 67 citing articles:

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
Anticipated Collision Time (ACT): A two-dimensional surrogate safety indicator for trajectory-based proactive safety assessment
Suvin P. Venthuruthiyil, Mallikarjuna Chunchu
Transportation Research Part C Emerging Technologies (2022) Vol. 139, pp. 103655-103655
Closed Access | Times Cited: 73
Modeling correlation and heterogeneity in crash rates by collision types using full bayesian random parameters multivariate Tobit model
Yanyong Guo, Zhibin Li, Pan Liu, et al.
Accident Analysis & Prevention (2019) Vol. 128, pp. 164-174
Closed Access | Times Cited: 115
A cross-comparison of different techniques for modeling macro-level cyclist crashes
Yanyong Guo, Ahmed Osama, Tarek Sayed
Accident Analysis & Prevention (2018) Vol. 113, pp. 38-46
Closed Access | Times Cited: 110
Real-time conflict-based Bayesian Tobit models for safety evaluation of signalized intersections
Yanyong Guo, Tarek Sayed, Mohamed Essa
Accident Analysis & Prevention (2020) Vol. 144, pp. 105660-105660
Closed Access | Times Cited: 107
Analysis of accident injury-severity outcomes: The zero-inflated hierarchical ordered probit model with correlated disturbances
Grigorios Fountas, Panagiotis Ch. Anastasopoulos
Analytic Methods in Accident Research (2018) Vol. 20, pp. 30-45
Open Access | Times Cited: 93
Bayesian spatial-temporal model for the main and interaction effects of roadway and weather characteristics on freeway crash incidence
Huiying Wen, Xuan Zhang, Qiang Zeng, et al.
Accident Analysis & Prevention (2019) Vol. 132, pp. 105249-105249
Closed Access | Times Cited: 89
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
Investigating the Impacts of Real-Time Weather Conditions on Freeway Crash Severity: A Bayesian Spatial Analysis
Qiang Zeng, Wei Hao, Jaeyoung Lee, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 8, pp. 2768-2768
Open Access | Times Cited: 75
Temporal instability of truck volume composition on non-truck-involved crash severity using uncorrelated and correlated grouped random parameters binary logit models with space-time variations
Fanyu Meng, N.N. Sze, Cancan Song, et al.
Analytic Methods in Accident Research (2021) Vol. 31, pp. 100168-100168
Closed Access | Times Cited: 56
Incorporating real-time weather conditions into analyzing clearance time of freeway accidents: A grouped random parameters hazard-based duration model with time-varying covariates
Qiang Zeng, Fangzhou Wang, Tiantian Chen, et al.
Analytic Methods in Accident Research (2023) Vol. 38, pp. 100267-100267
Closed Access | Times Cited: 28
Analysis of the injury severity of motor vehicle–pedestrian crashes at urban intersections using spatiotemporal logistic regression models
Qiang Zeng, Qianfang Wang, Keke Zhang, et al.
Accident Analysis & Prevention (2023) Vol. 189, pp. 107119-107119
Closed Access | Times Cited: 28
A latent class approach for driver injury severity analysis in highway single vehicle crash considering unobserved heterogeneity and temporal influence
Hao Yu, Zhenning Li, Guohui Zhang, et al.
Analytic Methods in Accident Research (2019) Vol. 24, pp. 100110-100110
Closed Access | Times Cited: 68
Effectiveness of the compensatory strategy adopted by older drivers: Difference between professional and non-professional drivers
Tiantian Chen, N.N. Sze, Sharon Newnam, et al.
Transportation Research Part F Traffic Psychology and Behaviour (2021) Vol. 77, pp. 168-180
Closed Access | Times Cited: 49
Traffic conflict assessment using macroscopic traffic flow variables: A novel framework for real-time applications
Ninad Gore, Ritvik Chauhan, Said M. Easa, et al.
Accident Analysis & Prevention (2023) Vol. 185, pp. 107020-107020
Closed Access | Times Cited: 17
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
A New Econometric Approach for Modeling Several Count Variables: A Case Study of Crash Frequency Analysis by Crash Type and Severity
Tanmoy Bhowmik, Shamsunnahar Yasmin, Naveen Eluru
Transportation Research Part B Methodological (2021) Vol. 153, pp. 172-203
Open Access | Times Cited: 38
Analysing the main and interaction effects of commercial vehicle mix and roadway attributes on crash rates using a Bayesian random-parameter Tobit model
Tiantian Chen, N.N. Sze, Sikai Chen, et al.
Accident Analysis & Prevention (2021) Vol. 154, pp. 106089-106089
Open Access | Times Cited: 33
Modelling low temporal, large spatial data of fatal crashes: An application of negative binomial GSARIMAX time series
Sara Ghalehnovi, Abolfazl Mohammadzadeh Moghaddam, Seyed Iman Mohammadpour
Accident Analysis & Prevention (2025) Vol. 214, pp. 107958-107958
Closed Access
Exploring the temporal correlations of factors affecting traffic safety on mountain freeways: Through new crash frequency modelling methods
Liang Zhang, Zhongxiang Huang, Aiwu Kuang, et al.
PLoS ONE (2025) Vol. 20, Iss. 4, pp. e0319831-e0319831
Open Access
Analysis of the Spatiotemporal Effects on the Severity of Motorcycle Accidents Without Helmets and Strategies for Building Sustainable Traffic Safety
Jialin Miao, Yiyong Pan, Keyuan Zhao
Sustainability (2025) Vol. 17, Iss. 8, pp. 3280-3280
Open Access
Sample size issues in multilevel logistic regression models
Amjad Ali, Sabz Ali, Sajjad Ahmad Khan, et al.
PLoS ONE (2019) Vol. 14, Iss. 11, pp. e0225427-e0225427
Open Access | Times Cited: 42
Spatial-temporal analysis of pedestrian injury severity with geographically and temporally weighted regression model in Hong Kong
Xuecai Xu, Xiangjian Luo, Changxi Ma, et al.
Transportation Research Part F Traffic Psychology and Behaviour (2020) Vol. 69, pp. 286-300
Closed Access | Times Cited: 36
An accelerated hierarchical Bayesian crash frequency model with accommodation of spatiotemporal interactions
Haipeng Cui, Kun Xie
Accident Analysis & Prevention (2021) Vol. 153, pp. 106018-106018
Closed Access | Times Cited: 29
A random parameter bivariate approach for modelling freeway crash frequency by severity level
Weiwei Qi, Shuolei Qin, Shufang Zhu, et al.
Transportmetrica A Transport Science (2025)
Closed Access
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