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:

Road traffic accidents: An overview of data sources, analysis techniques and contributing factors
Arun Chand, S. Jayesh, Anjana Bhasi
Materials Today Proceedings (2021) Vol. 47, pp. 5135-5141
Closed Access | Times Cited: 87

Showing 1-25 of 87 citing articles:

Risky behaviors and road safety: An exploration of age and gender influences on road accident rates
Dakota McCarty, Hyun Woo Kim
PLoS ONE (2024) Vol. 19, Iss. 1, pp. e0296663-e0296663
Open Access | Times Cited: 16

Research on car-following control and energy management strategy of hybrid electric vehicles in connected scene
Cheng Li, Xiangyang Xu, Helong Zhu, et al.
Energy (2024) Vol. 293, pp. 130586-130586
Closed Access | Times Cited: 13

Injury severity prediction and exploration of behavior-cause relationships in automotive crashes using natural language processing and extreme gradient boosting
Yichang Shao, Xiaomeng Shi, Yuhan Zhang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108542-108542
Closed Access | Times Cited: 8

Towards recognizing cognitive distraction levels with low-cost and high-sensitive measures: The effectiveness of sample, approximate, and traditional steering entropies
Nai-Jen Chang, Chunjiao Dong, S N Zhu, et al.
Transportation Research Part F Traffic Psychology and Behaviour (2025) Vol. 109, pp. 1063-1079
Closed Access | Times Cited: 1

Improving traffic accident severity prediction using MobileNet transfer learning model and SHAP XAI technique
Omar Aboulola
PLoS ONE (2024) Vol. 19, Iss. 4, pp. e0300640-e0300640
Open Access | Times Cited: 6

An Automated Approach for Predicting Road Traffic Accident Severity Using Transformer Learning and Explainable AI Technique
Omar Aboulola, Ebtisam Alabdulqader, Aisha Ahmed Alarfaj, et al.
IEEE Access (2024) Vol. 12, pp. 61062-61072
Open Access | Times Cited: 4

Piezoresistive response of self-sensing asphalt concrete containing carbon fiber
Qi Cui, Zhengang Feng, Ruoting Shen, et al.
Construction and Building Materials (2024) Vol. 426, pp. 136121-136121
Closed Access | Times Cited: 4

Visual Detection of Traffic Incident through Automatic Monitoring of Vehicle Activities
Abdul Karim, Muhammad Amir Raza, Yahya Z. Alharthi, et al.
World Electric Vehicle Journal (2024) Vol. 15, Iss. 9, pp. 382-382
Open Access | Times Cited: 4

Assessment of Road Vehicle Accident Approaches—A Review
Irina Duma, Nicolae Vlad Burnete, Adrian Todoruţ, et al.
Vehicles (2025) Vol. 7, Iss. 1, pp. 10-10
Open Access

Whole Genome Sequencing Insights on Extensive Drug Resistant Klebsiella pneumoniae and Pseudomonas aeruginosa Traumatic Infection
Hekmat A. Owaid, Mushtak T.S. Al-Ouqaili
Pakistan Journal of Biological Sciences (2025) Vol. 28, Iss. 2, pp. 78-87
Open Access

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

Construction and Application of Traffic Accident Knowledge Graph Based on LLM
Yunfei Hou, Yichang Shao, Zhongyi Han, et al.
SAE technical papers on CD-ROM/SAE technical paper series (2025) Vol. 1
Closed Access

Development of Integrated Psychosocial Interventions in Traffic Accident Management as a Necessity
Mohammad Hossein Javadi, Mohammad Sabzi Khoshnami, Sara Noruzi, et al.
Iranian Journal of Psychiatry and Behavioral Sciences (2025) Vol. 19, Iss. 1
Open Access

Analyzing traffic accident trends and correlations in Iraq: An investigative statistical approach
Dhuha Khalid Hassooni, Redvan Ghasemlounia, Miami M. Hilal, et al.
AIP conference proceedings (2025) Vol. 3303, pp. 040002-040002
Closed Access

Analysis of truck drivers’ unsafe driving behaviors using four machine learning methods
Yi Niu, Zhenming Li, Yunxiao Fan
International Journal of Industrial Ergonomics (2021) Vol. 86, pp. 103192-103192
Closed Access | Times Cited: 29

Estimation of the completeness of road traffic mortality data in Zambia using a three source capture recapture method
Moses Mwale, Kelvin Mwangilwa, Ernest Kakoma, et al.
Accident Analysis & Prevention (2023) Vol. 186, pp. 107048-107048
Open Access | Times Cited: 11

A New ECG Data Processing Approach to Developing an Accurate Driving Fatigue Detection Framework with Heart Rate Variability Analysis and Ensemble Learning
Junartho Halomoan, Kalamullah Ramli, Dodi Sudiana, et al.
Information (2023) Vol. 14, Iss. 4, pp. 210-210
Open Access | Times Cited: 11

A Deep Learning Based Sentiment Analytic Model for the Prediction of Traffic Accidents
Nadeem Malik, Saud Altaf, Muhammad Usman Tariq, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 77, Iss. 2, pp. 1599-1615
Open Access | Times Cited: 11

Drivers’ Behavior and Traffic Accident Analysis Using Decision Tree Method
Pires Abdullah, Tibor Sipos
Sustainability (2022) Vol. 14, Iss. 18, pp. 11339-11339
Open Access | Times Cited: 15

A data-driven rule-based system for China’s traffic accident prediction by considering the improvement of safety efficiency
Fei-Fei Ye, Long-Hao Yang, Ying-Ming Wang, et al.
Computers & Industrial Engineering (2022) Vol. 176, pp. 108924-108924
Closed Access | Times Cited: 15

A genetic programming approach for real-time crash prediction to solve trade-off between interpretability and accuracy
Xiaochi Ma, Jian Lü, Xian Liu, et al.
Journal of Transportation Safety & Security (2022) Vol. 15, Iss. 4, pp. 421-443
Closed Access | Times Cited: 14

China’s Road Traffic Mortality Rate and Its Empirical Research from Socio-Economic Factors Based on the Tobit Model
Liangen Zeng, Haitao Li, Xin Lao, et al.
Systems (2022) Vol. 10, Iss. 4, pp. 122-122
Open Access | Times Cited: 14

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