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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:

Using latent class analysis and mixed logit model to explore risk factors on driver injury severity in single-vehicle crashes
Zhenning Li, Qiong Wu, Yusheng Ci, et al.
Accident Analysis & Prevention (2019) Vol. 129, pp. 230-240
Closed Access | Times Cited: 86

Showing 1-25 of 86 citing articles:

Injury severity prediction of traffic crashes with ensemble machine learning techniques: a comparative study
Arshad Jamal, Muhammad Zahid, Muhammad Tauhidur Rahman, et al.
International Journal of Injury Control and Safety Promotion (2021) Vol. 28, Iss. 4, pp. 408-427
Closed Access | Times Cited: 111
Predicting and analyzing injury severity: A machine learning-based approach using class-imbalanced proactive and reactive data
Sobhan Sarkar, Anima Pramanik, J. Maiti, et al.
Safety Science (2020) Vol. 125, pp. 104616-104616
Closed Access | Times Cited: 112
Temporal stability of factors influencing driver-injury severities in single-vehicle crashes: A correlated random parameters with heterogeneity in means and variances approach
Chamroeun Se, Thanapong Champahom, Sajjakaj Jomnonkwao, et al.
Analytic Methods in Accident Research (2021) Vol. 32, pp. 100179-100179
Closed Access | Times Cited: 96
Road safety research in the context of low- and middle-income countries: Macro-scale literature analyses, trends, knowledge gaps and challenges
Milad Haghani, Ali Behnood, Vinayak Dixit, et al.
Safety Science (2021) Vol. 146, pp. 105513-105513
Closed Access | Times Cited: 75
Identifying Factors Contributing to the Motorcycle Crash Severity in Pakistan
Amjad Pervez, Jaeyoung Lee, Helai Huang
Journal of Advanced Transportation (2021) Vol. 2021, pp. 1-10
Open Access | Times Cited: 57
Transparent deep machine learning framework for predicting traffic crash severity
Karim Sattar, Feras Chikh Oughali, Khaled Assi, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 2, pp. 1535-1547
Closed Access | Times Cited: 50
Investigating heterogeneous preferences for plug-in electric vehicles: Policy implications from different choice models
Wenjian Jia, T. Donna Chen
Transportation Research Part A Policy and Practice (2023) Vol. 173, pp. 103693-103693
Closed Access | Times Cited: 24
Analyzing the transition from two-vehicle collisions to chain reaction crashes: A hybrid approach using random parameters logit model, interpretable machine learning, and clustering
Seyed Alireza Samerei, Kayvan Aghabayk
Accident Analysis & Prevention (2024) Vol. 202, pp. 107603-107603
Closed Access | Times Cited: 12
Injury severity analysis of motorcycle crashes: A comparison of latent class clustering and latent segmentation based models with unobserved heterogeneity
Fangrong Chang, Shamsunnahar Yasmin, Helai Huang, et al.
Analytic Methods in Accident Research (2021) Vol. 32, pp. 100188-100188
Open Access | Times Cited: 54
Applying hierarchical logistic models to compare urban and rural roadway modeling of severity of rear-end vehicular crashes
Thanapong Champahom, Sajjakaj Jomnonkwao, Duangdao Watthanaklang, et al.
Accident Analysis & Prevention (2020) Vol. 141, pp. 105537-105537
Closed Access | Times Cited: 51
Comparative analysis of alternative random parameters count data models in highway safety
Qinzhong Hou, Xiaoyan Huo, Andrew P. Tarko, et al.
Analytic Methods in Accident Research (2021) Vol. 30, pp. 100158-100158
Closed Access | Times Cited: 49
Single-vehicle crash severity outcome prediction and determinant extraction using tree-based and other non-parametric models
Xintong Yan, Jie He, Changjian Zhang, et al.
Accident Analysis & Prevention (2021) Vol. 153, pp. 106034-106034
Closed Access | Times Cited: 42
Exploring injury severity of vulnerable road user involved crashes across seasons: A hybrid method integrating random parameter logit model and Bayesian network
Zhiyuan Sun, Yuxuan Xing, Jianyu Wang, et al.
Safety Science (2022) Vol. 150, pp. 105682-105682
Closed Access | Times Cited: 35
Analyzing the impact of curve and slope on multi-vehicle truck crash severity on mountainous freeways
Huiying Wen, Zhaoliang Ma, Zheng Chen, et al.
Accident Analysis & Prevention (2022) Vol. 181, pp. 106951-106951
Closed Access | Times Cited: 29
Temporal instability and differences in injury severity between restrained and unrestrained drivers in speeding-related crashes
Chamroeun Se, Thanapong Champahom, Panuwat Wisutwattanasak, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 17
Exploring variations and temporal instability of factors affecting driver injury severities between different vehicle impact locations under adverse road surface conditions
Qiaoqiao Ren, Min Xu
Analytic Methods in Accident Research (2023) Vol. 40, pp. 100305-100305
Closed Access | Times Cited: 16
Severity of passenger injuries on public buses: A comparative analysis of collision injuries and non-collision injuries
Hanchu Zhou, Yuan Chen, Ni Dong, et al.
Journal of Safety Research (2020) Vol. 74, pp. 55-69
Closed Access | Times Cited: 47
Assessing the explanatory and predictive performance of a random parameters count model with heterogeneity in means and variances
Xiaoyan Huo, Junqian Leng, Qinzhong Hou, et al.
Accident Analysis & Prevention (2020) Vol. 147, pp. 105759-105759
Closed Access | Times Cited: 41
Factors Affecting Injury Severity of Crashes in Freeway Tunnel Groups: A Random Parameter Approach
Amjad Pervez, Helai Huang, Jaeyoung Lee, et al.
Journal of Transportation Engineering Part A Systems (2022) Vol. 148, Iss. 4
Closed Access | Times Cited: 26
Injury severity analysis of two-vehicle crashes at unsignalized intersections using mixed logit models
Renteng Yuan, Jing Gan, Zhipeng Peng, et al.
International Journal of Injury Control and Safety Promotion (2022) Vol. 29, Iss. 3, pp. 348-359
Closed Access | Times Cited: 26
Mitigating the impact of outliers in traffic crash analysis: A robust Bayesian regression approach with application to tunnel crash data
Zhenning Li, Haicheng Liao, Ruru Tang, et al.
Accident Analysis & Prevention (2023) Vol. 185, pp. 107019-107019
Closed Access | Times Cited: 15
Analyzing driver injury severity in two-vehicle rear-end crashes considering leading-following configurations based on passenger car and light truck involvement
Rong Zou, Hanyi Yang, Wanxin Yu, et al.
Accident Analysis & Prevention (2023) Vol. 193, pp. 107298-107298
Closed Access | Times Cited: 14
Injury severity analysis of single-vehicle and two-vehicle crashes with electric scooters: A random parameters approach with heterogeneity in means and variances
Dongsheng Gao, Xiaoqiang Zhang
Accident Analysis & Prevention (2023) Vol. 195, pp. 107408-107408
Closed Access | Times Cited: 14
The associations between optimism, personal growth initiative and the latent classes of social media addiction
Heng Yue, Shuang Gao, Yufeng Huang, et al.
Frontiers in Psychology (2025) Vol. 15
Open Access
Identifying heterogeneous factors for driver injury severity variations in snow-related rural single-vehicle crashes
Hao Yu, Runze Yuan, Zhenning Li, et al.
Accident Analysis & Prevention (2020) Vol. 144, pp. 105587-105587
Closed Access | Times Cited: 38
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