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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:

Review of interpretable machine learning for process industries
A. Carter, Syed Imtiaz, G.F. Naterer
Process Safety and Environmental Protection (2022) Vol. 170, pp. 647-659
Closed Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

A review of biowaste remediation and valorization for environmental sustainability: Artificial intelligence approach
Ria Aniza, Wei‐Hsin Chen, Anélie Petrissans, et al.
Environmental Pollution (2023) Vol. 324, pp. 121363-121363
Closed Access | Times Cited: 34
Data-Driven Process Monitoring and Fault Diagnosis: A Comprehensive Survey
Afrânio Melo, Maurício Melo Câmara, José Carlos Pinto
Processes (2024) Vol. 12, Iss. 2, pp. 251-251
Open Access | Times Cited: 10
Future of process safety: insights, approaches, and potential developments
Hossein Abedsoltan, Amirhesam Abedsoltan, Zeinab Zoghi
Process Safety and Environmental Protection (2024) Vol. 185, pp. 684-707
Open Access | Times Cited: 10
Machine learning applications on IoT data in manufacturing operations and their interpretability implications: A systematic literature review
Anna Presciuttini, Alessandra Cantini, Federica Costa, et al.
Journal of Manufacturing Systems (2024) Vol. 74, pp. 477-486
Open Access | Times Cited: 7
Data-driven fault detection and diagnosis methods in wastewater treatment systems: A comprehensive review
Xinyuan Wang, Wenguang Wei, ChangKyoo Yoo, et al.
Environmental Research (2025) Vol. 268, pp. 120822-120822
Closed Access
A Novel Hybrid Algorithm Model for Predicting the Co2 Internal Corrosion Rate of Tight Gas Pipelines
Guoxi He, JIE-JUAN LI, Liying Sun, et al.
(2025)
Closed Access
Optimization of an eco-friendly municipal solid waste-to-multi-generation energy scheme integrated by MSW gasification and HSOFC: Regression analysis and machine learning study
Weiyan Xu, Jielei Tu, Ning Xu
Process Safety and Environmental Protection (2023) Vol. 182, pp. 166-175
Closed Access | Times Cited: 15
Pipeline Corrosion Prediction and Uncertainty Analysis with an Ensemble Bayesian Neural Network Approach
Bingyan Cui, Hao Wang
Process Safety and Environmental Protection (2024) Vol. 187, pp. 483-494
Open Access | Times Cited: 4
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: 14
Digital Transformation Based on AI Technologies in European Union Organizations
Florin Mihai, Ofelia Aleca, Mirela Gheorghe
Electronics (2023) Vol. 12, Iss. 11, pp. 2386-2386
Open Access | Times Cited: 13
Influence of Ambient Temperature on Multidimensional Signal Dynamics and Safety Performance in Lithium-Ion Batteries During Overcharging Process
Kuijie Li, Long Chen, Xinlei Gao, et al.
Process Safety and Environmental Protection (2024) Vol. 189, pp. 288-301
Closed Access | Times Cited: 4
Machine learning for high-precision simulation of dissolved organic matter in sewer: Overcoming data restrictions with generative adversarial networks
Feng Hou, Shuai Liu, Wanxin Yin, et al.
The Science of The Total Environment (2024) Vol. 947, pp. 174469-174469
Closed Access | Times Cited: 3
A machine learning study on a municipal solid waste-to-energy system for environmental sustainability in a multi-generation energy system for hydrogen production
Yulan Zhang, Abdulrahman Jaffar Aldosky, Vishal Goyal, et al.
Process Safety and Environmental Protection (2023) Vol. 182, pp. 1171-1184
Closed Access | Times Cited: 8
Interpretable and efficient RUL prediction of turbofan engines using EM-enhanced Bi-LSTM with TCN and attention mechanism
Wang Jian-xing, Yue Wang, J. W. Li
Engineering Research Express (2024) Vol. 6, Iss. 3, pp. 035507-035507
Closed Access | Times Cited: 2
To ensure the safety of storage: enhancing accuracy of fire detection in warehouses with deep learning models
Qi Zhang, Yongfu Tian, Jianguo Chen, et al.
Process Safety and Environmental Protection (2024) Vol. 190, pp. 729-743
Closed Access | Times Cited: 2
Physical-anchored graph learning for process key indicator prediction
Mingwei Jia, Lingwei Jiang, Bing Guo, et al.
Control Engineering Practice (2024) Vol. 154, pp. 106167-106167
Closed Access | Times Cited: 2
Biomass gasification technology for a distinct renewable electricity/heat production scheme; Developed regression models based on machine learning algorithms for power/hot water/efficiency/emission data analysis
Xiang Ma, Tirumala Uday Kumar Nutakki, Vishal Goyal, et al.
Process Safety and Environmental Protection (2023) Vol. 182, pp. 71-85
Closed Access | Times Cited: 7
A CatBoost‐Based Modeling Approach for Predicting End‐Point Carbon Content of Electric Arc Furnace
Hongbin Lu, Hong‐Chun Zhu, Zhouhua Jiang, et al.
steel research international (2024) Vol. 95, Iss. 7
Closed Access | Times Cited: 1
Development of new correlation for the prediction of power number for closed clearance impellers using machine learning methods trained on literature data
Sumit S. Joshi, Vishwanath H. Dalvi, Vivek Vitankar, et al.
The Canadian Journal of Chemical Engineering (2024) Vol. 102, Iss. 11, pp. 3832-3851
Closed Access | Times Cited: 1
Explainable AI methodology for understanding fault detection results during Multi-Mode operations
Abhijit Bhakte, Piyush Kumar Kumawat, Rajagopalan Srinivasan
Chemical Engineering Science (2024) Vol. 299, pp. 120493-120493
Closed Access | Times Cited: 1
Temporal graph convolutional network soft sensor for molecular weight distribution prediction
Weiwei Guo, Jialiang Zhu, Xinyi Yu, et al.
Chemometrics and Intelligent Laboratory Systems (2024) Vol. 252, pp. 105196-105196
Closed Access | Times Cited: 1
Dynamic data reconciliation for enhancing the prediction performance of long short-term memory network
Wangwang Zhu, Jialiang Zhu, Qinmin Yang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116147-116147
Closed Access | Times Cited: 1
Environmental Risk Assessment Using Neural Network in Liquefied Petroleum Gas Terminal
Lalit Rajaramji Gabhane, Nagamalleswara Rao Kanidarapu
Toxics (2023) Vol. 11, Iss. 4, pp. 348-348
Open Access | Times Cited: 4
Interpretable artificial intelligence for advanced oxidation systems: Principle, operations and performance
Zhi Huang, Yu Jiang, Xiao Shao, et al.
Process Safety and Environmental Protection (2023) Vol. 180, pp. 242-259
Closed Access | Times Cited: 4
Domain adaptation graph convolution network for quality inferring of batch processes
Jialiang Zhu, Mingwei Jia, Ying Zhang, et al.
Chemometrics and Intelligent Laboratory Systems (2023) Vol. 243, pp. 105028-105028
Closed Access | Times Cited: 4
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