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:

Applications of artificial intelligence for coal mine gas risk assessment
Mengjie You, Shuang Li, Dingwei Li, et al.
Safety Science (2021) Vol. 143, pp. 105420-105420
Closed Access | Times Cited: 58

Showing 1-25 of 58 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: 109

How efficient coal mine methane control can benefit carbon-neutral target: Evidence from China
Liang Wang, Yiwei Sun, Siwen Zheng, et al.
Journal of Cleaner Production (2023) Vol. 424, pp. 138895-138895
Closed Access | Times Cited: 53

Advancements in machine learning techniques for coal and gas outburst prediction in underground mines
Angelina Anani, Sefiu O. Adewuyi, Nathalie Risso, et al.
International Journal of Coal Geology (2024) Vol. 285, pp. 104471-104471
Closed Access | Times Cited: 20

Research on coal mine hidden danger analysis and risk early warning technology based on data mining in China
Dejun Miao, Yueying Lv, Kai Yu, et al.
Process Safety and Environmental Protection (2022) Vol. 171, pp. 1-17
Closed Access | Times Cited: 59

Artificial intelligence investments reduce risks to critical mineral supply
Joaquin Vespignani, Russell Smyth
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 9

Research and Application of a Multi-Agent-Based Intelligent Mine Gas State Decision-Making System
Yi Sun, Xinke Liu
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 968-968
Open Access | Times Cited: 1

Risk assessment of unsafe behavior in university laboratories using the HFACS-UL and a fuzzy Bayesian network
Ziqi Li, Xiaolong Wang, Shiji Gong, et al.
Journal of Safety Research (2022) Vol. 82, pp. 13-27
Closed Access | Times Cited: 31

Research on coal mine safety management based on digital twin
Jiaqi Wang, Yanli Huang, Wenrui Zhai, et al.
Heliyon (2023) Vol. 9, Iss. 3, pp. e13608-e13608
Open Access | Times Cited: 23

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: 20

Comprehensive analysis of the mining accident forecasting and risk assessment methodologies: Case study – Stanterg Mine
Kemajl Zeqiri, Stojanče Mijalkovski, Gzim Ibishi, et al.
Mining of Mineral Deposits (2024) Vol. 18, Iss. 2, pp. 11-17
Open Access | Times Cited: 7

Deformation extent prediction of roadway roof during non-support period using support vector regression combined with swarm intelligent bionic optimization algorithms
Bingbing Yu, Qing Li, Tongde Zhao
Tunnelling and Underground Space Technology (2024) Vol. 145, pp. 105585-105585
Closed Access | Times Cited: 6

Research on data-driven coal mine environmental safety risk assessment system
Cheng Lü, Shuang Li, Kun Xu, et al.
Safety Science (2024) Vol. 183, pp. 106727-106727
Closed Access | Times Cited: 6

Coal and gangue classification in actual environment of mines based on deep learning
Hengxuan Luan, Hao Xu, Wei Tang, et al.
Measurement (2023) Vol. 211, pp. 112651-112651
Closed Access | Times Cited: 13

Coal mine explosions in India: Management failure, safety lapses and mitigative measures
Aashish Sahu, Devi Prasad Mishra
The Extractive Industries and Society (2023) Vol. 14, pp. 101233-101233
Closed Access | Times Cited: 13

Application of artificial intelligence in coal mine ultra-deep roadway engineering—a review
Bingbing Yu, Bo Wang, Yuantong Zhang
Artificial Intelligence Review (2024) Vol. 57, Iss. 10
Open Access | Times Cited: 4

IoT-Bayes Fusion: Advancing Real-Time Environmental Safety Risk Monitoring in Underground Mining and Construction
Milad Mousavi, Xuesong Shen, Zhigang Zhang, et al.
Reliability Engineering & System Safety (2024), pp. 110760-110760
Closed Access | Times Cited: 4

Quantile co-movement and dependence between energy-focused sectors and artificial intelligence
Christian Urom, Gideon Ndubuisi, Khaled Guesmi, et al.
Technological Forecasting and Social Change (2022) Vol. 183, pp. 121842-121842
Open Access | Times Cited: 17

Enhancing safety and minimizing risk in mining processes with artificial intelligence
Armaghan Javid, Mohammad Reza Zarkesh, Yasaman Boroumand, et al.
Elsevier eBooks (2025), pp. 355-382
Closed Access

Coal Mine Accident Risk Analysis with Large Language Models and Bayesian Networks
Guoliang Du, An Chen
Sustainability (2025) Vol. 17, Iss. 5, pp. 1896-1896
Open Access

Machine learning applications in risk management: Trends and research agenda
Alejandro Valencia-Arías, Jesús Alberto Jiménez García, Erica Agudelo-Ceballos, et al.
F1000Research (2025) Vol. 14, pp. 233-233
Open Access

Machine learning applications in risk management: Trends and research agenda
Alejandro Valencia-Arías, Jesús Alberto Jiménez García, Erica Agudelo-Ceballos, et al.
F1000Research (2025) Vol. 14, pp. 233-233
Open Access

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