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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:

Quantitative analysis of freight train derailment severity with structured and unstructured data
Bing Song, Zhipeng Zhang, Yong Qin, et al.
Reliability Engineering & System Safety (2022) Vol. 224, pp. 108563-108563
Closed Access | Times Cited: 23

Showing 23 citing articles:

Application of text mining and coupling theory to depth cognition of aviation safety risk
Minglan Xiong, Huawei Wang, Changchang Che, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 110032-110032
Closed Access | Times Cited: 13
Critical review on data-driven approaches for learning from accidents: Comparative analysis and future research
Yi Niu, Yunxiao Fan, Xing Ju
Safety Science (2023) Vol. 171, pp. 106381-106381
Closed Access | Times Cited: 17
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: 16
Decoding rail derailments: Unraveling the weighted factors influencing safety and sustainability using the best-worst method
Kamran Gholamizadeh, Dragan Pamučar, Sarbast Moslem, et al.
Results in Engineering (2024) Vol. 23, pp. 102539-102539
Open Access | Times Cited: 6
An improved density peaks clustering algorithm based on k nearest neighbors and turning point for evaluating the severity of railway accidents
Lingyuan Shi, Xin Yang, Ximing Chang, et al.
Reliability Engineering & System Safety (2023) Vol. 233, pp. 109132-109132
Closed Access | Times Cited: 15
Virtual point tracking method for online detection of relative wheel-rail displacement of railway vehicles
Haoqian Li, Yong Wang, Jing Zeng, et al.
Reliability Engineering & System Safety (2024) Vol. 246, pp. 110087-110087
Closed Access | Times Cited: 4
A systematic procedure for the analysis of maintenance reports based on a taxonomy and BERT attention mechanism
Dario Valcamonico, Piero Baraldi, July Bias Macêdo, et al.
Reliability Engineering & System Safety (2025), pp. 110834-110834
Open Access
Railway operational hazard prediction and control based on knowledge graph embedding and topological analysis
Jintao Liu, Ji Lin, Keyi Chen, et al.
Reliability Engineering & System Safety (2025), pp. 110917-110917
Closed Access
A hybrid probabilistic battery health management approach for robust inspection drone operations
Jokin Alcibar, Jose Ignacio Aizpurua, Ekhi Zugasti, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110246-110246
Closed Access
Creating an Incident Investigation Framework for a Complex Socio-Technical System: Application of Multi-label Text Classification and Bayesian Network Structure Learning
Mohammadreza Karimi Dehkori, Fereshteh Sattari, Lianne Lefsrud
Reliability Engineering & System Safety (2025), pp. 110971-110971
Closed Access
Risk Propagation Mechanisms in Railway Systems under Extreme Weather: A Knowledge Graph-based Unsupervised Causation Chain Approach
Yujie Huang, Zhipeng Zhang, Hao Hu
Reliability Engineering & System Safety (2025) Vol. 260, pp. 110976-110976
Closed Access
Combining natural language processing and bayesian networks for the probabilistic estimation of the severity of process safety events in hydrocarbon production assets
Dario Valcamonico, Piero Baraldi, Enrico Zio, et al.
Reliability Engineering & System Safety (2023) Vol. 241, pp. 109638-109638
Open Access | Times Cited: 10
Freight train derailment severity prediction: a physics-informed one-dimensional model
Di Kang, Steven W. Kirkpatrick, Zhipeng Zhang, et al.
Smart and Resilient Transport (2024) Vol. 6, Iss. 1, pp. 72-92
Open Access | Times Cited: 3
Risk Analysis of Weather-Related Railroad Accidents in the United States
Zhipeng Zhang, Chen-Yu Lin
Reliability Engineering & System Safety (2024), pp. 110647-110647
Closed Access | Times Cited: 2
Using Radial Basis Function and Back Propagation to predicate fault in a railway dangerous goods transportation system considering the Markov Correction
Wencheng Huang, Luohao Sun, Zhenlong Yang, et al.
Applied Soft Computing (2023) Vol. 145, pp. 110593-110593
Closed Access | Times Cited: 6
Railroad accident analysis by machine learning and natural language processing
Raj Bridgelall, Denver Tolliver
Journal of Rail Transport Planning & Management (2023) Vol. 29, pp. 100429-100429
Closed Access | Times Cited: 6
Statistical Analysis of Train Derailment Severity for Unit Trains Versus Manifest Trains
Weitian Li, Zheyong Bian, Xiang Liu
Transportation Research Record Journal of the Transportation Research Board (2023) Vol. 2678, Iss. 4, pp. 30-42
Closed Access | Times Cited: 2
Machine learning framework for Hazard Extraction and Analysis of Trends (HEAT) in wildfire response
Sequoia R. Andrade, Hannah S. Walsh
Safety Science (2023) Vol. 167, pp. 106252-106252
Open Access | Times Cited: 2
Design and analysis of train anti-derailment device based on full-scale derailment tests
Tianyu Zhuo, Jialin Li, Guangjun Gao, et al.
Mechanics Based Design of Structures and Machines (2024) Vol. 52, Iss. 10, pp. 8012-8031
Closed Access
An Approach for Real-Time Monitoring of Train Derailments: An Impact-Based Monitoring Method
Wenhao Wang, Xiaozhou Cheng, Guoqiang Cai, et al.
e-Journal of Nondestructive Testing (2024) Vol. 29, Iss. 7
Open Access
A New Procedure for Assessing and Predicting the Severity of Accidents: A Case Study on Freight-Train Derailments
Jia Liu, Yansheng Wang, Cunbao Deng, et al.
Journal of Loss Prevention in the Process Industries (2024), pp. 105511-105511
Closed Access
Analyzing the Severity of Freight Train Derailment Using Choquet Integral-Based Fuzzy Measure Weight Regression
Haoxuan Li, Xuehong Gao, Guozhong Huang
2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) (2023), pp. 1-6
Closed Access
Improving educational big data based on web mining and association rules
Doreyed M. Ahmed Al-Kerboly, Murtadha M. Hamad, Omar A. Dawood
AIP conference proceedings (2023) Vol. 3015, pp. 020005-020005
Closed Access
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