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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:

Applying Association Rules Mining to Investigate Pedestrian Fatal and Injury Crash Patterns Under Different Lighting Conditions
Ahmed Hossain, Xiaoduan Sun, Raju Thapa, et al.
Transportation Research Record Journal of the Transportation Research Board (2022) Vol. 2676, Iss. 6, pp. 659-672
Open Access | Times Cited: 25

Showing 25 citing articles:

Investigating pedestrian-vehicle crashes on interstate highways: Applying random parameter binary logit model with heterogeneity in means
Ahmed Hossain, Xiaoduan Sun, Subasish Das, et al.
Accident Analysis & Prevention (2024) Vol. 199, pp. 107503-107503
Closed Access | Times Cited: 11
Identifying roadway departure crash patterns on rural two-lane highways under different lighting conditions: Association knowledge using data mining approach
Ahmed Hossain, Xiaoduan Sun, Shahrin Islam, et al.
Journal of Safety Research (2023) Vol. 85, pp. 52-65
Open Access | Times Cited: 15
Understanding risky driving behaviors among young novice drivers in Nigeria: A latent class analysis coupled with association rule mining approach
Muwaffaq Safiyanu Labbo, Lin Qu, Chuan Xu, et al.
Accident Analysis & Prevention (2024) Vol. 200, pp. 107557-107557
Closed Access | Times Cited: 5
Uncovering pedestrian midblock crash severity patterns using association rules mining
Rohit Chakraborty, Subasish Das, Md Nasim Khan
Transportmetrica A Transport Science (2024), pp. 1-48
Closed Access | Times Cited: 4
Stability of factors influencing walking-along-the-road pedestrian injury severity outcomes under different lighting conditions: A random parameters logit approach with heterogeneity in means and out-of-sample predictions
Reuben Tamakloe, Emmanuel Kofi Adanu, Jonathan Atandzi, et al.
Accident Analysis & Prevention (2023) Vol. 193, pp. 107333-107333
Closed Access | Times Cited: 11
Identifying relevant patterns between injury crashes and road safety inspection deficiencies
Rubén Gutiérrez-Rodríguez, Eduardo Rojí, Jesús Cuadrado
Journal of Safety Research (2025) Vol. 93, pp. 99-134
Closed Access
Exploring association of contributing factors to pedestrian fatal and severe injury crashes under dark-no-streetlight condition
Ahmed Hossain, Xiaoduan Sun, Raju Thapa, et al.
IATSS Research (2023) Vol. 47, Iss. 2, pp. 214-224
Open Access | Times Cited: 9
Crashes involving distracted pedestrians: Identifying risk factors and their relationships to pedestrian severity levels and distraction modes
Md Mahmud Hossain, Huaguo Zhou, Xiaoduan Sun, et al.
Accident Analysis & Prevention (2023) Vol. 194, pp. 107359-107359
Closed Access | Times Cited: 8
Examining market segmentation to increase bike-share use and enhance equity: The case of the greater Sacramento region
Hossain Mohiuddin, Dillon T. Fitch, Susan Handy
Transport Policy (2023) Vol. 145, pp. 279-290
Open Access | Times Cited: 8
Pedestrian-injury severity analysis in pedestrian-vehicle crashes with familiar and unfamiliar drivers
Gang Xue, Huiying Wen
Transportmetrica A Transport Science (2022) Vol. 20, Iss. 1
Closed Access | Times Cited: 12
Exploring nighttime pedestrian crash patterns at intersection and segments: Findings from the machine learning algorithm
Ahmed Hossain, Xiaoduan Sun, Mahir Shahrier, et al.
Journal of Safety Research (2023) Vol. 87, pp. 382-394
Closed Access | Times Cited: 7
Data mining approach to explore emergency vehicle crash patterns: A comparative study of crash severity in emergency and non-emergency response modes
Md Mahmud Hossain, Huaguo Zhou, Subasish Das
Accident Analysis & Prevention (2023) Vol. 191, pp. 107217-107217
Closed Access | Times Cited: 5
Investigating Racial and Poverty-Level Disparities Associated with Pedestrian Nighttime Crashes
Sia Mwende, Valerian Kwigizile, Jun-Seok Oh, et al.
Transportation Research Record Journal of the Transportation Research Board (2024)
Closed Access | Times Cited: 1
Exploring Attribute Associations in Pedestrian-Involved Hit-and-Run Crashes through Cluster Correspondence Analysis
M. Ashifur Rahman, Subasish Das, Ahmed Hossain, et al.
Transportation Research Record Journal of the Transportation Research Board (2024)
Closed Access | Times Cited: 1
Assessing Traffic Safety in Cold Regions for Sustainable and Resilient Infrastructure: A Spatial Analysis and Association Rule Mining Approach
Mulugeta D. Amare, Daba S. Gedafa
Cold Regions Engineering (2024), pp. 174-185
Closed Access | Times Cited: 1
The association of road, traffic, and environmental factors with wrong-way riding behavior on shared e-bikes
Xiaolong Zhang, Yang Bian, Xiaohua Zhao, et al.
Journal of Cleaner Production (2024) Vol. 470, pp. 143294-143294
Closed Access | Times Cited: 1
Impact of level 2 automation on driver behavior: A study using association rules mining
Rohit Chakraborty, Syed Aaqib Javed, Subasish Das, et al.
Transportation Research Part F Traffic Psychology and Behaviour (2024) Vol. 107, pp. 937-950
Closed Access | Times Cited: 1
Revealing equity gaps in pedestrian crash data through explainable artificial intelligence clustering
Jinli Liu, Gian Antariksa, Shriyank Somvanshi, et al.
Transportation Research Part D Transport and Environment (2024) Vol. 139, pp. 104538-104538
Closed Access | Times Cited: 1
Walk or run? An observational study to explore pedestrian crossing decision-making at intersections in Dhaka, Bangladesh applying rules mining technique
Niaz Mahmud Zafri
Transportation Research Part F Traffic Psychology and Behaviour (2023) Vol. 94, pp. 83-98
Closed Access | Times Cited: 3
Applying Data Mining Methods to Explore Animal-Vehicle Crashes
M. Ashifur Rahman, Subasish Das, Julius Codjoe, et al.
Transportation Research Record Journal of the Transportation Research Board (2023) Vol. 2677, Iss. 11, pp. 665-681
Closed Access | Times Cited: 3
Investigating the Effect of Microscopic Real-Time Weather Data on Commercial Motor Vehicle Crash Injury Severity in Kentucky
Bharat Kumar Pathivada, Kirolos Haleem, Arunabha Banerjee
Transportation Research Record Journal of the Transportation Research Board (2024)
Closed Access
Exploring patterns in older pedestrian involved crashes during nighttime
Mahmuda Sultana Mimi, Rohit Chakraborty, Jinli Liu, et al.
Accident Analysis & Prevention (2024) Vol. 209, pp. 107815-107815
Closed Access
Comparative analysis of regional variations in road traffic accident patterns with association rule mining
Albe Bing Zhe Chai, Lau Bee Theng, Mark Tee Kit Tsun, et al.
EAI Endorsed Transactions on Pervasive Health and Technology (2023) Vol. 9
Open Access
Investigating Pedestrian-Vehicle Crashes on Interstate Highways: Applying Random Parameter Logit Model
Ahmed Hossain, Xiaoduan Sun, Subasish Das, et al.
(2023)
Closed Access
Road Traffic Accident Pattern Analysis with Data Mining
Albe Bing Zhe Chai, Lau Bee Theng, Mark Tee Kit Tsun, et al.
(2023), pp. 222-227
Closed Access
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