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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:

Jointly analyzing freeway traffic incident clearance and response time using a copula-based approach
Yajie Zou, Xin Ye, Kristian Henrickson, et al.
Transportation Research Part C Emerging Technologies (2017) Vol. 86, pp. 171-182
Closed Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

Statistical and machine-learning methods for clearance time prediction of road incidents: A methodology review
Jinjun Tang, Lanlan Zheng, Chunyang Han, et al.
Analytic Methods in Accident Research (2020) Vol. 27, pp. 100123-100123
Closed Access | Times Cited: 132
Real-time traffic accidents post-impact prediction: Based on crowdsourcing data
Yunduan Lin, Ruimin Li
Accident Analysis & Prevention (2020) Vol. 145, pp. 105696-105696
Closed Access | Times Cited: 75
RFCNN: Traffic Accident Severity Prediction Based on Decision Level Fusion of Machine and Deep Learning Model
Mubariz Manzoor, Muhammad Umer, Saima Sadiq, et al.
IEEE Access (2021) Vol. 9, pp. 128359-128371
Open Access | Times Cited: 67
Dynamic prediction of traffic incident duration on urban expressways: a deep learning approach based on LSTM and MLP
Weiwei Zhu, Jinglin Wu, Ting Fu, et al.
Journal of Intelligent and Connected Vehicles (2021) Vol. 4, Iss. 2, pp. 80-91
Open Access | Times Cited: 66
Application of the Bayesian Model Averaging in Analyzing Freeway Traffic Incident Clearance Time for Emergency Management
Yajie Zou, Bo Lin, Xiaoxue Yang, et al.
Journal of Advanced Transportation (2021) Vol. 2021, pp. 1-9
Open Access | Times Cited: 43
Incident duration prediction using a bi-level machine learning framework with outlier removal and intra–extra joint optimisation
Artur Grigorev, Adriana-Simona Mihăiţă, Seunghyeon Lee, et al.
Transportation Research Part C Emerging Technologies (2022) Vol. 141, pp. 103721-103721
Open Access | Times Cited: 28
Using the scanners and drone for comparison of point cloud accuracy at traffic accident analysis
Rok Kamnik, Matjaž Perc, Darja Topolšek
Accident Analysis & Prevention (2019) Vol. 135, pp. 105391-105391
Closed Access | Times Cited: 45
Predicting incident duration using random forests
Khaled Hamad, Rami Al‐Ruzouq, Waleed Zeiada, et al.
Transportmetrica A Transport Science (2020) Vol. 16, Iss. 3, pp. 1269-1293
Closed Access | Times Cited: 43
A random parameters copula-based binary logit-generalized ordered logit model with parameterized dependency: Application to active traveler injury severity analysis
Natakorn Phuksuksakul, Shamsunnahar Yasmin, Md. Mazharul Haque
Analytic Methods in Accident Research (2023) Vol. 38, pp. 100266-100266
Open Access | Times Cited: 13
A Copula-Based Approach for Accommodating the Underreporting Effect in Wildlife‒Vehicle Crash Analysis
Yajie Zou, Xinzhi Zhong, Jinjun Tang, et al.
Sustainability (2019) Vol. 11, Iss. 2, pp. 418-418
Open Access | Times Cited: 38
Traffic Incident Clearance Time Prediction and Influencing Factor Analysis Using Extreme Gradient Boosting Model
Jinjun Tang, Lanlan Zheng, Chunyang Han, et al.
Journal of Advanced Transportation (2020) Vol. 2020, pp. 1-12
Open Access | Times Cited: 37
Copula ARMA-GARCH modelling of spatially and temporally correlated time series data for transportation planning use
Siroos Shahriari, Scott A. Sisson, Taha Hossein Rashidi
Transportation Research Part C Emerging Technologies (2022) Vol. 146, pp. 103969-103969
Closed Access | Times Cited: 17
Comprehensive evaluation of multiple machine learning classifiers for predicting freeway incident duration
Khaled Hamad, Lubna Obaid, Ali Bou Nassif, et al.
Innovative Infrastructure Solutions (2023) Vol. 8, Iss. 6
Closed Access | Times Cited: 8
Estimation of urban route travel time distribution using Markov chains and pair-copula construction
Meiping Yun, Wenwen Qin, Xiaoguang Yang, et al.
Transportmetrica B Transport Dynamics (2019) Vol. 7, Iss. 1, pp. 1521-1552
Closed Access | Times Cited: 24
Spatio-temporal modeling of destination choice behavior through the Bayesian hierarchical approach
Shen Zhang, Xin Liu, Jinjun Tang, et al.
Physica A Statistical Mechanics and its Applications (2018) Vol. 512, pp. 537-551
Closed Access | Times Cited: 21
Predicting Incident Duration Based on Machine Learning Methods
Zainab Bahaa Mohammed, Mohammed Najm, Imad Al-Hussaini
Iraqi Journal of Computer Communication Control and System Engineering (2021), pp. 1-15
Open Access | Times Cited: 17
Jointly analyzing freeway primary and secondary crash severity using a copula-based approach
Helai Huang, Xizhi Ding, Yuan Chen, et al.
Accident Analysis & Prevention (2022) Vol. 180, pp. 106911-106911
Closed Access | Times Cited: 12
Assessment of inequity in bicyclist crashes using bivariate Bayesian copulas
Bahar Dadashova, Eun Sug Park, Seyedeh Maryam Mousavi, et al.
Journal of Safety Research (2022) Vol. 82, pp. 221-232
Closed Access | Times Cited: 10
Modeling spatiotemporal heterogeneity in interval-censored traffic incident time to normal flow by leveraging crowdsourced data: A geographically and temporally weighted proportional hazard analysis
Yangsong Gu, Hairuilong Zhang, Lee D. Han, et al.
Accident Analysis & Prevention (2023) Vol. 195, pp. 107406-107406
Closed Access | Times Cited: 6
Development of Multivariate Ordered Probit Model to Understand Household Vehicle Ownership Behavior in Xiaoshan District of Hangzhou, China
Jie Ma, Xin Ye, Cheng Shi
Sustainability (2018) Vol. 10, Iss. 10, pp. 3660-3660
Open Access | Times Cited: 17
Sentinel: An Onboard Lane Change Advisory System for Intelligent Vehicles to Reduce Traffic Delay During Freeway Incidents
Goodarz Mehr, Azim Eskandarian
IEEE Transactions on Intelligent Transportation Systems (2021) Vol. 23, Iss. 7, pp. 8906-8917
Open Access | Times Cited: 13
Estimating Incident Duration Considering the Unobserved Heterogeneity of Risk Factors for Trucks Transporting HAZMAT on Expressways
Jungyeol Hong, Reuben Tamakloe, Dongjoo Park, et al.
Transportation Research Record Journal of the Transportation Research Board (2019) Vol. 2673, Iss. 2, pp. 232-242
Closed Access | Times Cited: 15
Research of Vehicle Rear-End Collision Model considering Multiple Factors
Qiang Luo, Xiaodong Zang, Jie Yuan, et al.
Mathematical Problems in Engineering (2020) Vol. 2020, pp. 1-11
Open Access | Times Cited: 13
Heterogeneity assessment in incident duration modelling: Implications for development of practical strategies for small & large scale incidents
Behram Wali, Asad J. Khattak, Jun Liu
Journal of Intelligent Transportation Systems (2021) Vol. 26, Iss. 5, pp. 586-601
Closed Access | Times Cited: 12
Analysing taxi customer-search behaviour using Copula-based joint model
Helai Huang, Zhenyuan Fang, Yiwei Wang, et al.
Transportation Safety and Environment (2022) Vol. 4, Iss. 1
Open Access | Times Cited: 8
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