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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:

Impact of data aggregation approaches on the relationships between operating speed and traffic safety
Rongjie Yu, Mohammed Quddus, Xuesong Wang, et al.
Accident Analysis & Prevention (2018) Vol. 120, pp. 304-310
Open Access | Times Cited: 80

Showing 1-25 of 80 citing articles:

Real-Time Crash Risk Prediction using Long Short-Term Memory Recurrent Neural Network
Jinghui Yuan, Mohamed Abdel‐Aty, Yaobang Gong, et al.
Transportation Research Record Journal of the Transportation Research Board (2019) Vol. 2673, Iss. 4, pp. 314-326
Closed Access | Times Cited: 152
Real-time crash prediction on expressways using deep generative models
Qing Cai, Mohamed Abdel‐Aty, Jinghui Yuan, et al.
Transportation Research Part C Emerging Technologies (2020) Vol. 117, pp. 102697-102697
Closed Access | Times Cited: 143
Crash data augmentation using variational autoencoder
Zubayer Islam, Mohamed Abdel‐Aty, Qing Cai, et al.
Accident Analysis & Prevention (2020) Vol. 151, pp. 105950-105950
Closed Access | Times Cited: 143
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
Updated estimates of the relationship between speed and road safety at the aggregate and individual levels
Rune Elvik, Anna Vadeby, Tove Hels, et al.
Accident Analysis & Prevention (2018) Vol. 123, pp. 114-122
Closed Access | Times Cited: 137
How many crashes can connected vehicle and automated vehicle technologies prevent: A meta-analysis
Ling Wang, Hao Zhong, Wanjing Ma, et al.
Accident Analysis & Prevention (2020) Vol. 136, pp. 105299-105299
Closed Access | Times Cited: 115
Investigating secondary pedestrian-vehicle interactions at non-signalized intersections using vision-based trajectory data
Ting Fu, Weichao Hu, Luis Miranda-Moreno, et al.
Transportation Research Part C Emerging Technologies (2019) Vol. 105, pp. 222-240
Closed Access | Times Cited: 77
Investigating drivers' mandatory lane change behavior on the weaving section of freeway with managed lanes: A driving simulator study
Jinghui Yuan, Mohamed Abdel‐Aty, Qing Cai, et al.
Transportation Research Part F Traffic Psychology and Behaviour (2018) Vol. 62, pp. 11-32
Closed Access | Times Cited: 73
Impacts of speed variations on freeway crashes by severity and vehicle type
Pushpa Choudhary, Marianna Imprialou, Nagendra R. Velaga, et al.
Accident Analysis & Prevention (2018) Vol. 121, pp. 213-222
Open Access | Times Cited: 68
Applying a deep learning approach for transportation safety planning by using high-resolution transportation and land use data
Qing Cai, Mohamed Abdel‐Aty, Yangyang Sun, et al.
Transportation Research Part A Policy and Practice (2019) Vol. 127, pp. 71-85
Closed Access | Times Cited: 68
Vehicle Trajectory Prediction and Cut-In Collision Warning Model in a Connected Vehicle Environment
Nengchao Lyu, Jiaqiang Wen, Zhicheng Duan, et al.
IEEE Transactions on Intelligent Transportation Systems (2020) Vol. 23, Iss. 2, pp. 966-981
Closed Access | Times Cited: 63
Crash prediction based on traffic platoon characteristics using floating car trajectory data and the machine learning approach
Junhua Wang, Tianyang Luo, Ting Fu
Accident Analysis & Prevention (2019) Vol. 133, pp. 105320-105320
Closed Access | Times Cited: 59
Take-Over Performance and Safety Analysis Under Different Scenarios and Secondary Tasks in Conditionally Automated Driving
Chaozhong Wu, Haoran Wu, Nengchao Lyu, et al.
IEEE Access (2019) Vol. 7, pp. 136924-136933
Open Access | Times Cited: 53
Investigating rear-end collision avoidance behavior under varied foggy weather conditions: A study using advanced driving simulator and survival analysis
Qiangqiang Shangguan, Ting Fu, Shuo Liu
Accident Analysis & Prevention (2020) Vol. 139, pp. 105499-105499
Closed Access | Times Cited: 44
Exploration of the relationship among roadway characteristics, operating speed, and crashes for city streets using path analysis
Eun Sug Park, Kay Fitzpatrick, Subasish Das, et al.
Accident Analysis & Prevention (2020) Vol. 150, pp. 105896-105896
Closed Access | Times Cited: 43
Crash Risks Evaluation of Urban Expressways: A Case Study in Shanghai
Zeyang Cheng, Jinghui Yuan, Bo Yu, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 9, pp. 15329-15339
Open Access | Times Cited: 23
Ground visibility prediction using tree-based and random-forest machine learning algorithm: Comparative study based on atmospheric pollution and atmospheric boundary layer data
Fuzeng Wang, Ruolan Liu, Hao Yan, et al.
Atmospheric Pollution Research (2024) Vol. 15, Iss. 11, pp. 102270-102270
Closed Access | Times Cited: 5
Sourcing of Geometric Data for Safety Performance Function: A Review and Future Directions
Kommoju Prathyusha, Amit Agarwal, Indrajit Ghosh
Lecture notes in civil engineering (2025), pp. 271-291
Closed Access
Investigating Factors Contributing to Urban Traffic Incident Risk Using High‐Resolution Heterogeneous Data
Dawei Zhu, Yuzhi Zhang, De Jian Wen, et al.
Journal of Advanced Transportation (2025) Vol. 2025, Iss. 1
Open Access
Freeway single and multi-vehicle crash safety analysis: Influencing factors and hotspots
Xuesong Wang, Mingjie Feng
Accident Analysis & Prevention (2019) Vol. 132, pp. 105268-105268
Closed Access | Times Cited: 41
Using Crash Databases to Predict Effectiveness of New Autonomous Vehicle Maneuvers for Lane-Departure Injury Reduction
Björn Olofsson, Lars Nielsen
IEEE Transactions on Intelligent Transportation Systems (2020) Vol. 22, Iss. 6, pp. 3479-3490
Open Access | Times Cited: 37
Modeling Real-Time Cycle-Level Crash Risk at Signalized Intersections Based on High-Resolution Event-Based Data
Jinghui Yuan, Mohamed Abdel‐Aty, Lishengsa Yue, et al.
IEEE Transactions on Intelligent Transportation Systems (2020) Vol. 22, Iss. 11, pp. 6700-6715
Open Access | Times Cited: 33
Trajectory data-based severe conflict prediction for expressways under different traffic states
Jieyu Cao, Junlan Chen, Xiucheng Guo, et al.
Physica A Statistical Mechanics and its Applications (2023) Vol. 621, pp. 128595-128595
Closed Access | Times Cited: 12
Multivariate Poisson-Lognormal Models for Predicting Peak-Period Crash Frequency of Joint On-Ramp and Merge Segments on Freeways
Abdulrahman Faden, Mohamed Abdel‐Aty, Nada Mahmoud, et al.
Transportation Research Record Journal of the Transportation Research Board (2023) Vol. 2678, Iss. 3, pp. 133-147
Closed Access | Times Cited: 11
Freeway real-time crash prediction using floating car data
Yifan Wang, Xuesong Wang, Tonggen Wang, et al.
Transportation Research Part C Emerging Technologies (2025) Vol. 171, pp. 105009-105009
Closed Access
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