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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:

Prediction of rear-end conflict frequency using multiple-location traffic parameters
Christos Katrakazas, Athanasios Theofilatos, Md. Ashraful Islam, et al.
Accident Analysis & Prevention (2021) Vol. 152, pp. 106007-106007
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Using traffic flow characteristics to predict real-time conflict risk: A novel method for trajectory data analysis
Yuan Chen, Ye Li, Helai Huang, et al.
Analytic Methods in Accident Research (2022) Vol. 35, pp. 100217-100217
Closed Access | Times Cited: 75
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
Multi-objective deep reinforcement learning approach for adaptive traffic signal control system with concurrent optimization of safety, efficiency, and decarbonization at intersections
Gongquan Zhang, Fangrong Chang, Jieling Jin, et al.
Accident Analysis & Prevention (2024) Vol. 199, pp. 107451-107451
Closed Access | Times Cited: 22
Predicting intersection crash frequency using connected vehicle data: A framework for geographical random forest
Yangsong Gu, Diyi Liu, Ramin Arvin, et al.
Accident Analysis & Prevention (2022) Vol. 179, pp. 106880-106880
Closed Access | Times Cited: 49
Application of explainable machine learning for real-time safety analysis toward a connected vehicle environment
Yuan Chen, Ye Li, Helai Huang, et al.
Accident Analysis & Prevention (2022) Vol. 171, pp. 106681-106681
Closed Access | Times Cited: 44
A comprehensive analysis of the relationships between the built environment and traffic safety in the Dutch urban areas
Mehrnaz Asadi, Mehmet Baran Ulak, Karst Geurs, et al.
Accident Analysis & Prevention (2022) Vol. 172, pp. 106683-106683
Open Access | Times Cited: 28
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
From conflicts to crashes: Simulating macroscopic connected and automated driving vehicle safety
Maria G. Oikonomou, Απόστολος Ζιακόπουλος, Amna Chaudhry, et al.
Accident Analysis & Prevention (2023) Vol. 187, pp. 107087-107087
Closed Access | Times Cited: 17
Space-time analysis of accident frequency and the role of built environment in mitigation
Alì Soltani, Mohsen Roohani Qadikolaei
Transport Policy (2024) Vol. 150, pp. 189-205
Open Access | Times Cited: 7
Enhancing autonomous vehicle hyperawareness in busy traffic environments: A machine learning approach
Abdul Razak Alozi, Mohamed Hussein
Accident Analysis & Prevention (2024) Vol. 198, pp. 107458-107458
Open Access | Times Cited: 6
Integrating safety into the fundamental relations of freeway traffic flows: A conflict-based safety assessment framework
Saeed Mohammadian, Md. Mazharul Haque, Zuduo Zheng, et al.
Analytic Methods in Accident Research (2021) Vol. 32, pp. 100187-100187
Open Access | Times Cited: 35
An empirical investigation of driver car-following risk evolution using naturistic driving data and random parameters multinomial logit model with heterogeneity in means and variances
Qiangqiang Shangguan, Junhua Wang, Ting Fu, et al.
Analytic Methods in Accident Research (2023) Vol. 38, pp. 100265-100265
Closed Access | Times Cited: 14
Spatio-temporal dynamic change mechanism analysis of traffic conflict risk based on trajectory data
Yuping Hu, Ye Li, Helai Huang
Accident Analysis & Prevention (2023) Vol. 191, pp. 107203-107203
Closed Access | Times Cited: 13
A study on diversion behavior in weaving segments: Individualized traffic conflict prediction and causal mechanism analysis
Renteng Yuan, Mohamed Abdel‐Aty, Qiaojun Xiang
Accident Analysis & Prevention (2024) Vol. 205, pp. 107681-107681
Closed Access | Times Cited: 5
A deep transfer learning approach for Real-Time traffic conflict prediction with trajectory data
Qinzhong Hou, Yonghao Yang, Jun Liang, et al.
Accident Analysis & Prevention (2025) Vol. 214, pp. 107966-107966
Closed Access
Studying merge behaviour in weaving segments: insights from traffic conflict prediction and risk factors analysis
Renteng Yuan, Mohamed Abdel‐Aty, Yi Zhao, et al.
Transportmetrica A Transport Science (2025), pp. 1-26
Closed Access
Proactive Safety Analysis Using Roadside LiDAR Based Vehicle Trajectory Data: A Study of Rear-End Crashes
Nischal Bhattarai, Yibin Zhang, Hongchao Liu, et al.
Transportation Research Record Journal of the Transportation Research Board (2023) Vol. 2678, Iss. 3, pp. 772-785
Closed Access | Times Cited: 11
A proactive driving risk assessment on mountainous two-lane roads considering opposite-direction vehicle interactions from video-based trajectories
Wenwen Qin, Huan Li, Wu Li, et al.
Computers & Industrial Engineering (2025), pp. 110848-110848
Closed Access
Critical conflict probability: A novel risk measure for quantifying intensity of crash risk at unsignalized intersections
Aninda Bijoy Paul, Ninad Gore, Shriniwas Arkatkar, et al.
IATSS Research (2025) Vol. 49, Iss. 1, pp. 49-59
Closed Access
Vehicle Trajectory and Traffic Conflict Prediction at Urban Expressway Confluence
Tiansheng Liu, Qiaojun Xiang
SAE technical papers on CD-ROM/SAE technical paper series (2025) Vol. 1
Closed Access
An integrated approach of machine learning and Bayesian spatial Poisson model for large-scale real-time traffic conflict prediction
Dongya Li, Chuanyun Fu, Tarek Sayed, et al.
Accident Analysis & Prevention (2023) Vol. 192, pp. 107286-107286
Closed Access | Times Cited: 9
Modeling Crossing Conflicts at Unsignalized T-Intersections under Heterogeneous Traffic Conditions
Jaydip Goyani, Ninad Gore, Shriniwas Arkatkar
Journal of Advanced Transportation (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 13
Implementing AI-Driven Traffic Signal Systems for Enhanced Traffic Management in Dammam
Khalid Mohammed Almatar
International Journal of Sustainable Development and Planning (2024) Vol. 19, Iss. 2, pp. 781-790
Open Access | Times Cited: 2
How much should a pedestrian be fined for intentionally blocking a fully automated vehicle? A random parameters beta hurdle model with heterogeneity in the variance of the beta distribution
Amir Pooyan Afghari, Eleonora Papadimitriou, Xiaomeng Li, et al.
Analytic Methods in Accident Research (2021) Vol. 32, pp. 100186-100186
Open Access | Times Cited: 16
A novel traffic conflict risk measure considering the effect of vehicle weight
Ying Wang, Huizhao Tu, N.N. Sze, et al.
Journal of Safety Research (2021) Vol. 80, pp. 1-13
Closed Access | Times Cited: 16
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