Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Risk prediction and factors risk analysis based on IFOA-GRNN and apriori algorithms: Application of artificial intelligence in accident prevention
Xuecai Xie, Gui Fu, Yujingyang Xue, et al.
Process Safety and Environmental Protection (2018) Vol. 122, pp. 169-184
Closed Access | Times Cited: 106

Showing 1-25 of 106 citing articles:

Coal-gas compound dynamic disasters in China: A review
Kai Wang, Feng Du
Process Safety and Environmental Protection (2019) Vol. 133, pp. 1-17
Closed Access | Times Cited: 208
The development history of accident causation models in the past 100 years: 24Model, a more modern accident causation model
Gui Fu, Xuecai Xie, Qingsong Jia, et al.
Process Safety and Environmental Protection (2019) Vol. 134, pp. 47-82
Closed Access | Times Cited: 167
Disruptive technologies as a solution for disaster risk management: A review
Hafiz Suliman Munawar, Mohammad Mojtahedi, Ahmed W. A. Hammad, et al.
The Science of The Total Environment (2021) Vol. 806, pp. 151351-151351
Closed Access | Times Cited: 131
An Unsupervised Machine Learning Algorithms: Comprehensive Review
Samreen Naeem, Aqib Ali, Sania Anam, et al.
International Journal of Computing and Digital Systems (2023) Vol. 13, Iss. 1, pp. 911-921
Open Access | Times Cited: 94
Discovering topics and trends in the field of Artificial Intelligence: Using LDA topic modeling
Dejian Yu, Bo Xiang
Expert Systems with Applications (2023) Vol. 225, pp. 120114-120114
Closed Access | Times Cited: 69
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
Accidents analysis and prevention of coal and gas outburst: Understanding human errors in accidents
Gui Fu, Xuecai Xie, Qingsong Jia, et al.
Process Safety and Environmental Protection (2019) Vol. 134, pp. 1-23
Closed Access | Times Cited: 126
Detection and Identification of Volatile Organic Compounds Based on Temperature-Modulated ZnO Sensors
Zhenyu Yuan, Erchou Han, Fanli Meng, et al.
IEEE Transactions on Instrumentation and Measurement (2019) Vol. 69, Iss. 7, pp. 4533-4544
Closed Access | Times Cited: 120
Risk assessment of dynamic disasters in deep coal mines based on multi-source, multi-parameter indexes, and engineering application
Junsheng Du, Jie Chen, Yuanyuan Pu, et al.
Process Safety and Environmental Protection (2021) Vol. 155, pp. 575-586
Closed Access | Times Cited: 75
Multi-objective optimization control for tunnel boring machine performance improvement under uncertainty
Wenli Liu, Ang Li, Congjian Liu
Automation in Construction (2022) Vol. 139, pp. 104310-104310
Closed Access | Times Cited: 57
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: 57
Reform and development of coal mine safety in China: An analysis from government supervision, technical equipment, and miner education
Yuxin Wang, Gui Fu, Qian Lyu, et al.
Resources Policy (2022) Vol. 77, pp. 102777-102777
Closed Access | Times Cited: 51
Accident case data–accident cause model hybrid-driven coal and gas outburst accident analysis: Evidence from 84 accidents in China during 2008–2018
Xuecai Xie, Shifei Shen, Gui Fu, et al.
Process Safety and Environmental Protection (2022) Vol. 164, pp. 67-90
Closed Access | Times Cited: 48
Landslide risk prediction by using GBRT algorithm: Application of artificial intelligence in disaster prevention of energy mining
Song Jiang, JinYuan Li, Sai Zhang, et al.
Process Safety and Environmental Protection (2022) Vol. 166, pp. 384-392
Closed Access | Times Cited: 47
A comprehensive risk assessment method for coal and gas outburst in underground coal mines based on variable weight theory and uncertainty analysis
Guorui Zhang, Enyuan Wang, Chaolin Zhang, et al.
Process Safety and Environmental Protection (2022) Vol. 167, pp. 97-111
Closed Access | Times Cited: 40
Numerical modelling of gas outburst from coal: a review from control parameters to the initiation process
Fatemeh Soleimani, Guangyao Si, Hamid Roshan, et al.
International Journal of Coal Science & Technology (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 37
Leveraging artificial intelligence and blockchain in accounting to boost ESG performance: the role of risk management and environmental uncertainty
Nha Minh Nguyen, Malik Abu Afifa, Vo Thi Truc Dao, et al.
International journal of organizational analysis (2025)
Closed Access | Times Cited: 1
Rationalized fruit fly optimization with sine cosine algorithm: A comprehensive analysis
Yi Fan, Pengjun Wang, Ali Asghar Heidari, et al.
Expert Systems with Applications (2020) Vol. 157, pp. 113486-113486
Closed Access | Times Cited: 69
The Accident Path of Coal Mine Gas Explosion Based on 24Model: A Case Study of the Ruizhiyuan Gas Explosion Accident
Gui Fu, Ziqi Zhao, Chuanbo Hao, et al.
Processes (2019) Vol. 7, Iss. 2, pp. 73-73
Open Access | Times Cited: 56
Coal and gas outburst prediction model based on extension theory and its application
Wei Wang, Hanpeng Wang, Bing Zhang, et al.
Process Safety and Environmental Protection (2021) Vol. 154, pp. 329-337
Closed Access | Times Cited: 54
A quantitative pre-warning for coal burst hazardous zones in a deep coal mine based on the spatio-temporal forecast of microseismic events
Jie Chen, Chao Zhu, Junsheng Du, et al.
Process Safety and Environmental Protection (2022) Vol. 159, pp. 1105-1112
Closed Access | Times Cited: 38
Accident causes data-driven coal and gas outburst accidents prevention: Application of data mining and machine learning in accident path mining and accident case-based deduction
Xuecai Xie, Xueming Shu, Gui Fu, et al.
Process Safety and Environmental Protection (2022) Vol. 162, pp. 891-913
Closed Access | Times Cited: 38
Experimental study on intensity and energy evolution of deep coal and gas outburst
Xin Zhang, Jupeng Tang, Yishan Pan, et al.
Fuel (2022) Vol. 324, pp. 124484-124484
Closed Access | Times Cited: 33
The role of data analytics within operational risk management: A systematic review from the financial services and energy sectors
Nikki Cornwell, Christopher Bilson, Adrian Gepp, et al.
Journal of the Operational Research Society (2022) Vol. 74, Iss. 1, pp. 374-402
Open Access | Times Cited: 31
Accident case-driven study on the causal modeling and prevention strategies of coal-mine gas-explosion accidents: A systematic analysis of coal-mine accidents in China
Yuxin Wang, Gui Fu, Qian Lyu, et al.
Resources Policy (2023) Vol. 88, pp. 104425-104425
Closed Access | Times Cited: 19
Page 1 - Next Page

Scroll to top