OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Crash data quality for road safety research: Current state and future directions
Marianna Imprialou, Mohammed Quddus
Accident Analysis & Prevention (2017) Vol. 130, pp. 84-90
Open Access | Times Cited: 160

Showing 1-25 of 160 citing articles:

Road traffic accidental injuries and deaths: A neglected global health issue
Sirwan Khalid Ahmed, Mona G. Mohammed, Salar Omar Abdulqadir, et al.
Health Science Reports (2023) Vol. 6, Iss. 5
Open Access | Times Cited: 99

Advances, challenges, and future research needs in machine learning-based crash prediction models: A systematic review
Yasir Ali, Fizza Hussain, Md. Mazharul Haque
Accident Analysis & Prevention (2023) Vol. 194, pp. 107378-107378
Open Access | Times Cited: 56

How do drivers manage speed at tunnel entrances? Insights from uncorrelated grouped random parameters duration models for model invalidation and performance recovery times
Yunjie Ju, Shi Ye, Tiantian Chen, et al.
Analytic Methods in Accident Research (2025), pp. 100371-100371
Closed Access | Times Cited: 2

Investigating the Differences of Single-Vehicle and Multivehicle Accident Probability Using Mixed Logit Model
Bowen Dong, Xiaoxiang Ma, Feng Chen, et al.
Journal of Advanced Transportation (2018) Vol. 2018, pp. 1-9
Open Access | Times Cited: 115

The joint effect of weather and lighting conditions on injury severities of single-vehicle accidents
Grigorios Fountas, Achille Fonzone, Niaz Gharavi, et al.
Analytic Methods in Accident Research (2020) Vol. 27, pp. 100124-100124
Open Access | Times Cited: 105

Machine learning in occupational accident analysis: A review using science mapping approach with citation network analysis
Sobhan Sarkar, J. Maiti
Safety Science (2020) Vol. 131, pp. 104900-104900
Closed Access | Times Cited: 76

Applications of machine learning methods in traffic crash severity modelling: current status and future directions
Xiao Wen, Yuanchang Xie, Liming Jiang, et al.
Transport Reviews (2021) Vol. 41, Iss. 6, pp. 855-879
Closed Access | Times Cited: 64

Analysis of the injury severity of motor vehicle–pedestrian crashes at urban intersections using spatiotemporal logistic regression models
Qiang Zeng, Qianfang Wang, Keke Zhang, et al.
Accident Analysis & Prevention (2023) Vol. 189, pp. 107119-107119
Closed Access | Times Cited: 28

A comprehensive study of child pedestrian crash outcomes in Ghana
Emmanuel Kofi Adanu, Richard Dzinyela, William Agyemang
Accident Analysis & Prevention (2023) Vol. 189, pp. 107146-107146
Closed Access | Times Cited: 26

Can we trust our eyes? Interpreting the misperception of road safety from street view images and deep learning
Xujing Yu, Jun Ma, Yihong Tang, et al.
Accident Analysis & Prevention (2024) Vol. 197, pp. 107455-107455
Closed Access | Times Cited: 13

Surrogate safety measures for traffic oscillations based on empirical vehicle trajectories prior to crashes
Yuxuan Wang, Zhibin Li, Pan Liu, et al.
Transportation Research Part C Emerging Technologies (2024) Vol. 161, pp. 104543-104543
Closed Access | Times Cited: 8

A note on data segmentation, sample size, and model specification for crash injury severity modeling
Qinzhong Hou, Jinglun Zhuang, C. Zhai, et al.
Analytic Methods in Accident Research (2025), pp. 100373-100373
Closed Access | Times Cited: 1

Key risk indicators for accident assessment conditioned on pre-crash vehicle trajectory
Xiupeng Shi, Yiik Diew Wong, Michael Z.F. Li, et al.
Accident Analysis & Prevention (2018) Vol. 117, pp. 346-356
Closed Access | Times Cited: 82

The Dilemma of Road Safety in the Eastern Province of Saudi Arabia: Consequences and Prevention Strategies
Arshad Jamal, Muhammad Tauhidur Rahman, Hassan M. Al-Ahmadi, et al.
International Journal of Environmental Research and Public Health (2019) Vol. 17, Iss. 1, pp. 157-157
Open Access | Times Cited: 70

Investigating factors of crash frequency with random effects and random parameters models: New insights from Chinese freeway study
Qinzhong Hou, Andrew P. Tarko, Xianghai Meng
Accident Analysis & Prevention (2018) Vol. 120, pp. 1-12
Closed Access | Times Cited: 69

Effects of different land use and land cover data on the landslide susceptibility zonation of road networks
Bruno M. Meneses, Susana Pereira, Eusébio Reis
Natural hazards and earth system sciences (2019) Vol. 19, Iss. 3, pp. 471-487
Open Access | Times Cited: 63

The relationship between driving volatility in time to collision and crash-injury severity in a naturalistic driving environment
Behram Wali, Asad J. Khattak, Thomas P. Karnowski
Analytic Methods in Accident Research (2020) Vol. 28, pp. 100136-100136
Open Access | Times Cited: 59

Understanding the potential of emerging digital technologies for improving road safety
Mehran Eskandari Torbaghan, Manu Sasidharan, Louise Reardon, et al.
Accident Analysis & Prevention (2021) Vol. 166, pp. 106543-106543
Open Access | Times Cited: 42

Spatial predictions of harsh driving events using statistical and machine learning methods
Απόστολος Ζιακόπουλος, Eleni I. Vlahogianni, Constantinos Antoniou, et al.
Safety Science (2022) Vol. 150, pp. 105722-105722
Closed Access | Times Cited: 32

An Advanced Machine Learning Approach to Predicting Pedestrian Fatality Caused by Road Crashes: A Step toward Sustainable Pedestrian Safety
Wenlong Tao, Mahdi Aghaabbasi, Mujahid Ali, et al.
Sustainability (2022) Vol. 14, Iss. 4, pp. 2436-2436
Open Access | Times Cited: 28

Police and hospital data linkage for traffic injury surveillance: A systematic review
Alì Soltani, James Harrison, Courtney Ryder, et al.
Accident Analysis & Prevention (2024) Vol. 197, pp. 107426-107426
Open Access | Times Cited: 7

Many model thinking in systems ergonomics: a case study in road safety
Paul M. Salmon, Gemma J. M. Read
Ergonomics (2018) Vol. 62, Iss. 5, pp. 612-628
Closed Access | Times Cited: 54

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

Driver distraction detection using capsule network
Deepak Kumar Jain, Rachna Jain, Xiangyuan Lan, et al.
Neural Computing and Applications (2020) Vol. 33, Iss. 11, pp. 6183-6196
Closed Access | Times Cited: 41

State-of-the-art review: preventing child and youth pedestrian motor vehicle collisions: critical issues and future directions
Marie‐Soleil Cloutier, Émilie Beaulieu, Liraz Fridman, et al.
Injury Prevention (2020) Vol. 27, Iss. 1, pp. 77-84
Open Access | Times Cited: 39

Page 1 - Next Page

Scroll to top