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:

Predicting individuals' car accident risk by trajectory, driving events, and geographical context
L. Bruhwiler, Cheng Fu, Haosheng Huang, et al.
Computers Environment and Urban Systems (2022) Vol. 93, pp. 101760-101760
Open Access | Times Cited: 24

Showing 24 citing articles:

A systematic review of the use of in-vehicle telematics in monitoring driving behaviours
James Boylan, Denny Meyer, Won Sun Chen
Accident Analysis & Prevention (2024) Vol. 199, pp. 107519-107519
Open Access | Times Cited: 7

Incident detection for freeways based on a dual-state traffic factor state network
Wei‐Bin Zhang, Huazhu Zha, Lu Gan, et al.
Transportmetrica A Transport Science (2025), pp. 1-29
Closed Access

From theory to deep learning: Understanding the impact of geographic context factors on traffic violations
Hao Yang, Xiaobai Yao, Farnoosh Roozkhosh, et al.
Computers Environment and Urban Systems (2025) Vol. 119, pp. 102268-102268
Closed Access

Driving risk prevention in usage-based insurance services based on interpretable machine learning and telematics data
Hongjie Li, Xinggang Luo, Zhong-Liang Zhang, et al.
Decision Support Systems (2023) Vol. 172, pp. 113985-113985
Closed Access | Times Cited: 11

Graph based embedding learning of trajectory data for transportation mode recognition by fusing sequence and dependency relations
Wenhao Yu, Guanwen Wang
International Journal of Geographical Information Science (2023) Vol. 37, Iss. 12, pp. 2514-2537
Closed Access | Times Cited: 7

Advances in estimating pedestrian measures through artificial intelligence: From data sources, computer vision, video analytics to the prediction of crash frequency
Ting Lian, Becky P.Y. Loo, Zhuangyuan Fan
Computers Environment and Urban Systems (2023) Vol. 107, pp. 102057-102057
Open Access | Times Cited: 7

Image-based machine learning and cluster analysis for urban road network: employing Orange for codeless visual programming
Zhang Zuo, Mengwei Zhang, Xiangxiang Song, et al.
Geo-spatial Information Science (2024), pp. 1-18
Open Access | Times Cited: 2

Prediction of Accident Risk Levels in Traffic Accidents Using Deep Learning and Radial Basis Function Neural Networks Applied to a Dataset with Information on Driving Events
Cristian Arciniegas-Ayala, Pablo Marcillo, Ángel Leonardo Valdivieso Caraguay, et al.
Applied Sciences (2024) Vol. 14, Iss. 14, pp. 6248-6248
Open Access | Times Cited: 2

Towards efficient and accurate prediction of freeway accident severity using two-level fuzzy comprehensive evaluation
Guanghui Wang, LI Jin-bo, Lingfeng Shen, et al.
Heliyon (2024) Vol. 10, Iss. 16, pp. e36396-e36396
Open Access | Times Cited: 1

Road Safety Evaluation Framework for Accessing Park Green Space Using Active Travel
Yuanyuan Luo, Yanfang Liu, Lijun Xing, et al.
Frontiers in Environmental Science (2022) Vol. 10
Open Access | Times Cited: 6

HMM-Based Map Matching and Spatiotemporal Analysis for Matching Errors with Taxi Trajectories
Lin Qu, Yue Zhou, Jiangxin Li, et al.
ISPRS International Journal of Geo-Information (2023) Vol. 12, Iss. 8, pp. 330-330
Open Access | Times Cited: 3

Critical safety management driver identification based upon temporal variation characteristics of driving behavior
Ruici Zhang, Xiang Wen, Huanqiang Cao, et al.
Accident Analysis & Prevention (2023) Vol. 193, pp. 107307-107307
Closed Access | Times Cited: 3

Driving Environment Inference from POI of Navigation Map: Fuzzy Logic and Machine Learning Approaches
Yu Li, Martin Metzner, Volker Schwieger
Sensors (2023) Vol. 23, Iss. 22, pp. 9156-9156
Open Access | Times Cited: 2

An Analytical Study of Traffic Accidents in Connecticut, USA Using Python
Prudhvinath Reddy Sureddy, Mohammed Saifuddin, Venkata Sai Veerendranath Magathala, et al.
Lecture notes in networks and systems (2024), pp. 38-46
Closed Access

A time-series based deep survival analysis model for failure prediction in urban infrastructure systems
Binyu Yang, Xuanwen Liang, Susu Xu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108876-108876
Closed Access

Towards Pay-As-You-Move (PAYM) insurance: The multimodal mobility risk transfer solution
Emer Owens, Barry Sheehan, Martin Mullins, et al.
Transportation Research Interdisciplinary Perspectives (2024) Vol. 28, pp. 101283-101283
Open Access

Risk Management for the Safe Use of Highly Automated Vehicles in a Metropolis: Systems and Legal Analysis
A. I. Zemlin, Maria A. Matveeva, Evgeniya V. Gots
World of Transport and Transportation (2023) Vol. 21, Iss. 3, pp. 115-123
Open Access | Times Cited: 1

Accident Risk Prediction through Machine Learning: A Comprehensive Study
Kavitha S.N
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2023) Vol. 07, Iss. 08
Open Access

A Data-Driven Approach for Customized Pay-As-You-Drive Insurance Premiums
Rahmat Ullah, Ikram Asghar, Mark Griffiths, et al.
(2023), pp. 26-30
Closed Access

Accident Probability Prediction and Analysis of Bus Drivers Based on Occupational Characteristics
Tongqiang Ding, Lei Yuan, Zhiqiang Li, et al.
Applied Sciences (2023) Vol. 14, Iss. 1, pp. 279-279
Open Access

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