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:

Crash frequency modeling for signalized intersections in a high-density urban road network
Kun Xie, Xuesong Wang, Kaan Özbay, et al.
Analytic Methods in Accident Research (2014) Vol. 2, pp. 39-51
Closed Access | Times Cited: 90

Showing 1-25 of 90 citing articles:

Unobserved heterogeneity and the statistical analysis of highway accident data
Fred Mannering, Venky Shankar, Chandra R. Bhat
Analytic Methods in Accident Research (2016) Vol. 11, pp. 1-16
Closed Access | Times Cited: 1110

Analytic methods in accident research: Methodological frontier and future directions
Fred Mannering, Chandra R. Bhat
Analytic Methods in Accident Research (2013) Vol. 1, pp. 1-22
Closed Access | Times Cited: 1044

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

Current Understanding of the Effects of Congestion on Traffic Accidents
Angus Retallack, Bertram Ostendorf
International Journal of Environmental Research and Public Health (2019) Vol. 16, Iss. 18, pp. 3400-3400
Open Access | Times Cited: 136

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

Analysis of vehicle accident-injury severities: A comparison of segment- versus accident-based latent class ordered probit models with class-probability functions
Grigorios Fountas, Panagiotis Ch. Anastasopoulos, Fred Mannering
Analytic Methods in Accident Research (2018) Vol. 18, pp. 15-32
Closed Access | Times Cited: 110

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

Analysis of Traffic Crashes Involving Pedestrians Using Big Data: Investigation of Contributing Factors and Identification of Hotspots
Kun Xie, Kaan Özbay, Abdullah Kurkcu, et al.
Risk Analysis (2017) Vol. 37, Iss. 8, pp. 1459-1476
Closed Access | Times Cited: 98

Developing a grouped random parameters multivariate spatial model to explore zonal effects for segment and intersection crash modeling
Qing Cai, Mohamed Abdel‐Aty, Jaeyoung Lee, et al.
Analytic Methods in Accident Research (2018) Vol. 19, pp. 1-15
Closed Access | Times Cited: 88

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

Using the multivariate spatio-temporal Bayesian model to analyze traffic crashes by severity
Chenhui Liu, Anuj Sharma
Analytic Methods in Accident Research (2018) Vol. 17, pp. 14-31
Open Access | Times Cited: 82

Exploring spatio-temporal effects in traffic crash trend analysis
Chenhui Liu, Anuj Sharma
Analytic Methods in Accident Research (2017) Vol. 16, pp. 104-116
Open Access | Times Cited: 65

A hierarchical Bayesian spatiotemporal random parameters approach for alcohol/drug impaired-driving crash frequency analysis
Zhenning Li, Xiaofeng Chen, Yusheng Ci, et al.
Analytic Methods in Accident Research (2019) Vol. 21, pp. 44-61
Closed Access | Times Cited: 59

Macro-level traffic safety analysis in Shanghai, China
Xuesong Wang, Qingya Zhou, Junguang Yang, et al.
Accident Analysis & Prevention (2019) Vol. 125, pp. 249-256
Closed Access | Times Cited: 54

Fusing crash data and surrogate safety measures for safety assessment: Development of a structural equation model with conditional autoregressive spatial effect and random parameters
Di Yang, Kun Xie, Kaan Özbay, et al.
Accident Analysis & Prevention (2021) Vol. 152, pp. 105971-105971
Closed Access | Times Cited: 51

Assessing the safety effectiveness of citywide speed limit reduction: A causal inference approach integrating propensity score matching and spatial difference-in-differences
Guocong Zhai, Kun Xie, Di Yang, et al.
Transportation Research Part A Policy and Practice (2022) Vol. 157, pp. 94-106
Closed Access | Times Cited: 33

Crash modeling for intersections and segments along corridors: A Bayesian multilevel joint model with random parameters
Saif A. Alarifi, Mohamed Abdel‐Aty, Jaeyoung Lee, et al.
Analytic Methods in Accident Research (2017) Vol. 16, pp. 48-59
Closed Access | Times Cited: 56

Modeling unobserved heterogeneity using finite mixture random parameters for spatially correlated discrete count data
Prasad Buddhavarapu, James G. Scott, Jorge A. Prozzi
Transportation Research Part B Methodological (2016) Vol. 91, pp. 492-510
Closed Access | Times Cited: 55

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 analysis of traffic accidents near and between road intersections in a directed linear network
Álvaro Briz‐Redón, Francisco Martínez, Francisco Montes
Accident Analysis & Prevention (2019) Vol. 132, pp. 105252-105252
Closed Access | Times Cited: 47

Factors influencing traffic accident frequencies on urban roads: A spatial panel time-fixed effects error model
Wencheng Wang, Zhenzhou Yuan, Yang Yang, et al.
PLoS ONE (2019) Vol. 14, Iss. 4, pp. e0214539-e0214539
Open Access | Times Cited: 43

A Bayesian spatial Poisson-lognormal model to examine pedestrian crash severity at signalized intersections
Sirajum Munira, Ipek N. Sener, Boya Dai
Accident Analysis & Prevention (2020) Vol. 144, pp. 105679-105679
Closed Access | Times Cited: 43

Exploring key spatio-temporal features of crash risk hot spots on urban road network: A machine learning approach
Peijie Wu, Tianyi Chen, Yiik Diew Wong, et al.
Transportation Research Part A Policy and Practice (2023) Vol. 173, pp. 103717-103717
Closed Access | Times Cited: 15

Urban Traffic Accident Frequency Modeling: An Improved Spatial Matrix Construction Method
Jing Gan, Qing Su, Linheng Li, et al.
Journal of Advanced Transportation (2025) Vol. 2025, Iss. 1
Open Access

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