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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:

Optimized structure learning of Bayesian Network for investigating causation of vehicles’ on-road crashes
Tianyi Chen, Yiik Diew Wong, Xiupeng Shi, et al.
Reliability Engineering & System Safety (2022) Vol. 224, pp. 108527-108527
Closed Access | Times Cited: 21

Showing 21 citing articles:

A Bayesian network-based model for risk modeling and scenario deduction of collision accidents of inland intelligent ships
Jinfeng Zhang, Mei Jin, Chengpeng Wan, et al.
Reliability Engineering & System Safety (2023) Vol. 243, pp. 109816-109816
Closed Access | Times Cited: 53
Safety risk assessment for connected and automated vehicles: Integrating FTA and CM-improved AHP
Xiangyu Zheng, Yufeng Li, Qi Liu, et al.
Reliability Engineering & System Safety (2025), pp. 110822-110822
Closed Access | Times Cited: 2
Research on scenario deduction and emergency decision-making evaluation for construction safety accidents
Jianjun She, Zihao Guo, Zhijian Li, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110317-110317
Closed Access | Times Cited: 10
Discovering injury severity risk factors in automobile crashes: A hybrid explainable AI framework for decision support
Mostafa Amini, Ali Bagheri, Dursun Delen
Reliability Engineering & System Safety (2022) Vol. 226, pp. 108720-108720
Closed Access | Times Cited: 29
What is the public really concerned about the AV crash? Insights from a combined analysis of social media and questionnaire survey
Peng Jing, Baihui Wang, Yunhao Cai, et al.
Technological Forecasting and Social Change (2023) Vol. 189, pp. 122371-122371
Closed Access | Times Cited: 20
Causative analysis of freight railway accident in specific scenes using a data-driven Bayesian network
Xiyuan Chen, Xiaoping Ma, Limin Jia, et al.
Reliability Engineering & System Safety (2023) Vol. 243, pp. 109781-109781
Closed Access | Times Cited: 18
Mining and modeling the direct and indirect causalities among factors affecting the Urban Heat Island severity using structural machine learned Bayesian networks
Ghiwa Assaf, Xi Hu, Rayan H. Assaad
Urban Climate (2023) Vol. 49, pp. 101570-101570
Closed Access | Times Cited: 12
Bayesian-Network-Based Predictions of Water Inrush Incidents in Soft Rock Tunnels
Xianda Feng, Ying‐Rui Lu, Jiazhi He, et al.
KSCE Journal of Civil Engineering (2024) Vol. 28, Iss. 12, pp. 5934-5945
Closed Access | Times Cited: 3
Investigating the impact of influential factors on crash types for autonomous vehicles at intersections
Yubin Chen, Yajie Zou, Xiaoqiang Kong, et al.
Journal of Transportation Safety & Security (2023) Vol. 16, Iss. 10, pp. 1089-1116
Closed Access | Times Cited: 7
Predicted consumer buying behavior in neural marketing based on convolutional neural network and short-term long-term memory
Hojjat Azadravesh, Reza Sheibani, Yahya Forghani
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 2
Discovering key factors and causalities impacting bridge pile resistance using Ensemble Bayesian networks: A bridge infrastructure asset management system
Xi Hu, Rayan H. Assaad, Mohab Hussein
Expert Systems with Applications (2023) Vol. 238, pp. 121677-121677
Closed Access | Times Cited: 5
Comparing Resampling Algorithms and Classifiers for Modeling Traffic Risk Prediction
Bo Wang, Chi Zhang, Yiik Diew Wong, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 20, pp. 13693-13693
Open Access | Times Cited: 8
Willingness to utilize autonomous vehicles following accidents: A fresh perspective from mixed-methods research
Yongjiang Zhou, Hanying Guo, Luping Tang, et al.
Transportation Research Part F Traffic Psychology and Behaviour (2024) Vol. 107, pp. 643-667
Closed Access | Times Cited: 1
Characteristics identification and evolution patterns analyses of road chain conflicts
Hao Zhong, Ling Wang, Zicheng Su, et al.
Accident Analysis & Prevention (2023) Vol. 195, pp. 107395-107395
Open Access | Times Cited: 4
Is the drill pipe safe during drilling process?—A new method for evaluating drill pipe failure risk based on the Noisy-OR gate and bayesian network
Xianbo Peng, Zhanghua Lian, Hao Yu, et al.
Journal of Loss Prevention in the Process Industries (2022) Vol. 80, pp. 104906-104906
Closed Access | Times Cited: 6
Analysis of Road Traffic Accidents Severity Using a Pruned Tree-Based Model
Timothy T. Adeliyi, Deborah Oluwadele, Kevin Igwe, et al.
International Journal of Transport Development and Integration (2023) Vol. 7, Iss. 2, pp. 131-138
Open Access | Times Cited: 3
Analyzing dynamic risk of stampede in stadium: A quantitative method considering the various status of risk factors in whole process
Ying Lu, Xinyv Shi, Xuepeng Jiang, et al.
International Journal of Disaster Risk Reduction (2022) Vol. 82, pp. 103339-103339
Closed Access | Times Cited: 5
An integrated method of extended STPA and BN for safety assessment of man-machine phased-mission system
Xin Lu, Shengkui Zeng, Jianbin Guo, et al.
Reliability Engineering & System Safety (2024) Vol. 253, pp. 110569-110569
Closed Access
Investigating Naive Bayes Algorithms for Network Time Series Analysis
M. S. Nidhya, Sunny Verma, Hassan Mohamed, et al.
Lecture notes in electrical engineering (2024), pp. 227-232
Closed Access
Exploring safety effects on urban expressway diverging areas: crash risk estimation considering extreme conflict types
Jiaqiang Wen, Nengchao Lyu, Lai Zheng
International Journal of Injury Control and Safety Promotion (2024), pp. 1-15
Closed Access
A Traffic Crash Warning Model for BOT E-Tolling Operations Based on Predictions Using a Data Association Framework
S.T. Ho, Kuo-Chi Yen, Chung-Yung Wang, et al.
Applied Sciences (2023) Vol. 13, Iss. 10, pp. 5973-5973
Open Access
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