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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 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: 44

Showing 1-25 of 44 citing articles:

Investigating pedestrian-vehicle crashes on interstate highways: Applying random parameter binary logit model with heterogeneity in means
Ahmed Hossain, Xiaoduan Sun, Subasish Das, et al.
Accident Analysis & Prevention (2024) Vol. 199, pp. 107503-107503
Closed Access | Times Cited: 10
Modeling pedestrian-injury severities in pedestrian-vehicle crashes considering spatiotemporal patterns: Insights from different hierarchical Bayesian random-effects models
Li Song, Yang Li, Wei Fan, et al.
Analytic Methods in Accident Research (2020) Vol. 28, pp. 100137-100137
Closed Access | Times Cited: 54
Real-Time Pedestrian Conflict Prediction Model at the Signal Cycle Level Using Machine Learning Models
Shile Zhang, Mohamed Abdel‐Aty
IEEE Open Journal of Intelligent Transportation Systems (2022) Vol. 3, pp. 176-186
Open Access | Times Cited: 35
Macro-level literature analysis on pedestrian safety: Bibliometric overview, conceptual frames, and trends
Ali Mirhashemi, Saeideh Amirifar, Ali Tavakoli Kashani, et al.
Accident Analysis & Prevention (2022) Vol. 174, pp. 106720-106720
Closed Access | Times Cited: 27
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: 30
Bicyclists injury severities: An empirical assessment of temporal stability
Seyed Hashem Hosseini, Seyed Rasoul Davoodi, Ali Behnood
Accident Analysis & Prevention (2022) Vol. 168, pp. 106616-106616
Closed Access | Times Cited: 21
Pedestrian- and bicyclist-involved crashes: Associations with spatial factors, pedestrian infrastructure, and equity impacts
Hannah Younes, Robert B. Noland, Leigh Ann Von Hagen, et al.
Journal of Safety Research (2023) Vol. 86, pp. 137-147
Closed Access | Times Cited: 11
Enhancing safe walking in an ageing society: Insights into injury severity of older pedestrian traffic crashes in urban environments
Daniel Gálvez-Pérez, Begoña Guirao, Armando Ortuño Padilla
Journal of Transport & Health (2025), pp. 102022-102022
Closed Access
Micro-Level Hotspot Identification at Intersections Using Traffic Conflict Analysis
Nuri Park, Juneyoung Park, Yang-Jun Joo, et al.
(2025)
Closed Access
Examining non-linear built environment effects on injurious traffic collisions: A gradient boosting decision tree analysis
Rui An, Zhaomin Tong, Yimei Ding, et al.
Journal of Transport & Health (2021) Vol. 24, pp. 101296-101296
Closed Access | Times Cited: 27
Estimating Pedestrian Volumes at Intersections using Artificial Intelligence: A ChatGPT Vision Approach
Lucas Tito Pereira Sobreira, Bruce Hellinga
Transportation Research Record Journal of the Transportation Research Board (2025)
Open Access
Pedestrian safety at signalized intersections: Spatial and machine learning approaches
Emre Kuşkapan, Mohammad Ali Sahraei, Merve Kayacı Çodur, et al.
Journal of Transport & Health (2021) Vol. 24, pp. 101322-101322
Closed Access | Times Cited: 20
Investigating the Risk Factors Associated with Injury Severity in Pedestrian Crashes in Santiago, Chile
Angelo Rampinelli, Juan Felipe Calderón, Carola Blázquez, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 17, pp. 11126-11126
Open Access | Times Cited: 13
Modeling spatiotemporal interactions in single-vehicle crash severity by road types
Zhenggan Cai, Xiaoyan Wu
Journal of Safety Research (2023) Vol. 85, pp. 157-171
Closed Access | Times Cited: 7
Modeling of Low Visibility-Related Rural Single-Vehicle Crashes Considering Unobserved Heterogeneity and Spatial Correlation
Zhenggan Cai, Fulu Wei, Zhenyu Wang, et al.
Sustainability (2021) Vol. 13, Iss. 13, pp. 7438-7438
Open Access | Times Cited: 16
Analysing driver behaviour and crash frequency at railway level crossings using connected vehicle and GIS data
Seunghyeon Lee, Tiantian Chen, N.N. Sze, et al.
Travel Behaviour and Society (2024) Vol. 39, pp. 100957-100957
Closed Access | Times Cited: 2
A hybrid clustering and random forest model to analyse vulnerable road user to motor vehicle (VRU-MV) crashes
Zhiyuan Sun, Duo Wang, Xin Gu, et al.
International Journal of Injury Control and Safety Promotion (2023) Vol. 30, Iss. 3, pp. 338-351
Closed Access | Times Cited: 6
Evaluating the spatial effects of environmental influencing factors on the frequency of urban crashes using the spatial Bayes method based on Euclidean distance and contiguity
Mohammad Sedigh Bavar, Ali Naderan, Mahmoud Saffarzadeh
Transportation Engineering (2023) Vol. 12, pp. 100181-100181
Open Access | Times Cited: 6
Using geographically weighted logistic regression (GWLR) for pedestrian crash severity modeling: Exploring spatially varying relationships with natural and built environment factors
Niaz Mahmud Zafri, Asif Khan
IATSS Research (2023) Vol. 47, Iss. 3, pp. 325-334
Open Access | Times Cited: 6
6Ds-HLM: Hierarchical models of road traffic crash influencing factor analysis considering the urban built environment of intersection visibility
Xinyu Qu, Xiongwu Xiao, Xinyan Zhu, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 123, pp. 103472-103472
Open Access | Times Cited: 6
Comparing Direct Demand Models for Estimating Pedestrian Volumes at Intersections and Their Spatial Transferability to Other Jurisdictions
Lucas Tito Pereira Sobreira, Bruce Hellinga
Transportation Research Record Journal of the Transportation Research Board (2023) Vol. 2677, Iss. 10, pp. 260-271
Open Access | Times Cited: 5
Investigating Rural Single-Vehicle Crash Severity by Vehicle Types Using Full Bayesian Spatial Random Parameters Logit Model
Fulu Wei, Zhenggan Cai, Zhenyu Wang, et al.
Applied Sciences (2021) Vol. 11, Iss. 17, pp. 7819-7819
Open Access | Times Cited: 12
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
An evaluation of pedestrian crash risk factors at urban intersections in a developing country: Comparing the classification accuracy of methods accounting for unobserved heterogeneity
Javad Esmailpour, Kayvan Aghabayk, Arsalan Esmaili
Transportation Research Interdisciplinary Perspectives (2024) Vol. 28, pp. 101275-101275
Open Access | Times Cited: 1
Driving behavior at midblock crosswalks with Rectangular Rapid Flashing Beacons: Hidden Markov model approach using naturalistic data
Huizhong Guo, Linda Ng Boyle
Accident Analysis & Prevention (2021) Vol. 165, pp. 106406-106406
Closed Access | Times Cited: 10
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