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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:

Identifying causality and contributory factors of pipeline incidents by employing natural language processing and text mining techniques
Guanyang Liu, Mason Boyd, Mengxi Yu, et al.
Process Safety and Environmental Protection (2021) Vol. 152, pp. 37-46
Closed Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

Identifying coal mine safety production risk factors by employing text mining and Bayesian network techniques
Shuang Li, Mengjie You, Dingwei Li, et al.
Process Safety and Environmental Protection (2022) Vol. 162, pp. 1067-1081
Closed Access | Times Cited: 104
An integrated risk prediction model for corrosion-induced pipeline incidents using artificial neural network and Bayesian analysis
Pallavi Kumari, Syeda Zohra Halim, Joseph Sang‐Il Kwon, et al.
Process Safety and Environmental Protection (2022) Vol. 167, pp. 34-44
Closed Access | Times Cited: 44
Demystifying the Role of Natural Language Processing (NLP) in Smart City Applications: Background, Motivation, Recent Advances, and Future Research Directions
Nemika Tyagi, Bharat Bhushan
Wireless Personal Communications (2023) Vol. 130, Iss. 2, pp. 857-908
Open Access | Times Cited: 35
Risk identification and assessment methods of offshore platform equipment and operations
Keyang Liu, Baoping Cai, Qibing Wu, et al.
Process Safety and Environmental Protection (2023) Vol. 177, pp. 1415-1430
Closed Access | Times Cited: 25
Mining construction accident reports via unsupervised NLP and Accimap for systemic risk analysis
Zheng Ma, Zhen‐Song Chen
Automation in Construction (2024) Vol. 161, pp. 105343-105343
Closed Access | Times Cited: 11
Predictive modeling for gas transmission pipeline failure cause and consequence analysis
Rui Xiao, Chunhua Xiong
Process Safety and Environmental Protection (2025), pp. 106812-106812
Closed Access | Times Cited: 1
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 | Times Cited: 1
Quantitative risk assessment of railway intrusions with text mining and fuzzy Rule-Based Bow-Tie model
Yujie Huang, Zhipeng Zhang, Yu Tao, et al.
Advanced Engineering Informatics (2022) Vol. 54, pp. 101726-101726
Closed Access | Times Cited: 28
Textual data transformations using natural language processing for risk assessment
Mohammad Zaid Kamil, Mohammed Taleb‐Berrouane, Faisal Khan, et al.
Risk Analysis (2023) Vol. 43, Iss. 10, pp. 2033-2052
Closed Access | Times Cited: 18
Integrating Information Entropy and Latent Dirichlet Allocation Models for Analysis of Safety Accidents in the Construction Industry
Yipeng Liu, Junwu Wang, Shanrong Tang, et al.
Buildings (2023) Vol. 13, Iss. 7, pp. 1831-1831
Open Access | Times Cited: 16
The fusion of fuzzy theories and natural language processing: A state-of-the-art survey
Ming Liu, Hongjun Zhang, Zeshui Xu, et al.
Applied Soft Computing (2024) Vol. 162, pp. 111818-111818
Closed Access | Times Cited: 7
Multi-source heterogeneous data integration for incident likelihood analysis
Mohammad Zaid Kamil, Faisal Khan, Paul Amyotte, et al.
Computers & Chemical Engineering (2024) Vol. 185, pp. 108677-108677
Closed Access | Times Cited: 6
Application of natural language processing in HAZOP reports
Xiayuan Feng, Yiyang Dai, Xu Ji, et al.
Process Safety and Environmental Protection (2021) Vol. 155, pp. 41-48
Closed Access | Times Cited: 38
The Changing Tendency and Association Analysis of Intelligent Coal Mines in China: A Policy Text Mining Study
Xiaofang Wo, Guichen Li, Yuantian Sun, et al.
Sustainability (2022) Vol. 14, Iss. 18, pp. 11650-11650
Open Access | Times Cited: 24
Application of natural language processing and machine learning in prediction of deviations in the HAZOP study worksheet: A comparison of classifiers
Ali Ekramipooya, Mehrdad Boroushaki, Davood Rashtchian
Process Safety and Environmental Protection (2023) Vol. 176, pp. 65-73
Closed Access | Times Cited: 13
Research on the classification and control of human factor characteristics of coal mine accidents based on K-Means clustering analysis
Dejun Miao, Wenhao Wang, Yueying Lv, et al.
International Journal of Industrial Ergonomics (2023) Vol. 97, pp. 103481-103481
Closed Access | Times Cited: 13
Identification of risk features using text mining and BERT-based models: Application to an oil refinery
July Bias Macêdo, Márcio das Chagas Moura, Diego Aichele, et al.
Process Safety and Environmental Protection (2021) Vol. 158, pp. 382-399
Closed Access | Times Cited: 32
A methodical approach for knowledge-based fire and explosion accident likelihood analysis
Mohammad Zaid Kamil, Faisal Khan, Syeda Zohra Halim, et al.
Process Safety and Environmental Protection (2022) Vol. 170, pp. 339-355
Closed Access | Times Cited: 21
A Scoping Literature Review of Natural Language Processing Application to Safety Occurrence Reports
Jon Ricketts, David Barry, Weisi Guo, et al.
Safety (2023) Vol. 9, Iss. 2, pp. 22-22
Open Access | Times Cited: 12
Extraction and analysis of risk factors from Chinese chemical accident reports
X. L. Luo, Xiayuan Feng, Xu Ji, et al.
Chinese Journal of Chemical Engineering (2023) Vol. 61, pp. 68-81
Closed Access | Times Cited: 11
Intelligent Countermeasures Analysis in Oil and Gas Projects Utilizing Topic Modeling
Ehab Elhosary, Osama Moselhi
(2025)
Closed Access
Text mining of practical disaster reports: Case study on Cascadia earthquake preparedness
Julia C. Lensing, Youngjun Choe, Branden B. Johnson, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0313259-e0313259
Open Access
Predicting and Understanding Emergency Shutdown Durations Level of Pipeline Incidents Using Machine Learning Models and Explainable AI
Lemlem Asaye, Chau Le, Ying Huang, et al.
Processes (2025) Vol. 13, Iss. 2, pp. 445-445
Open Access
Investigating patterns of Freeway Crashes in Jordan: Findings from Text Mining Approach
Shadi Jaradat, Taqwa I. Alhadidi, Huthaifa I. Ashqar, et al.
Results in Engineering (2025), pp. 104413-104413
Open Access
A unified causation prediction model for aboveground onshore oil and refined product pipeline incidents using artificial neural network
Pallavi Kumari, Qingsheng Wang, Faisal Khan, et al.
Process Safety and Environmental Protection (2022) Vol. 187, pp. 529-540
Open Access | Times Cited: 16
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