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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:

An analysis of process fault diagnosis methods from safety perspectives
Rajeevan Arunthavanathan, Faisal Khan, Salim Ahmed, et al.
Computers & Chemical Engineering (2020) Vol. 145, pp. 107197-107197
Closed Access | Times Cited: 125

Showing 1-25 of 125 citing articles:

A deep learning model for process fault prognosis
Rajeevan Arunthavanathan, Faisal Khan, Salim Ahmed, et al.
Process Safety and Environmental Protection (2021) Vol. 154, pp. 467-479
Closed Access | Times Cited: 121
Process topology convolutional network model for chemical process fault diagnosis
Deyang Wu, Jinsong Zhao
Process Safety and Environmental Protection (2021) Vol. 150, pp. 93-109
Closed Access | Times Cited: 113
Advancing occupational and system safety in Industry 5.0: Effective HAZID, risk analysis frameworks, and human-AI interaction management
Kamran Gholamizadeh, Esmaeil Zarei, Luca Gualtieri, et al.
Safety Science (2025) Vol. 184, pp. 106770-106770
Closed Access | Times Cited: 3
A novel orthogonal self-attentive variational autoencoder method for interpretable chemical process fault detection and identification
Xiaotian Bi, Jinsong Zhao
Process Safety and Environmental Protection (2021) Vol. 156, pp. 581-597
Closed Access | Times Cited: 74
One step forward for smart chemical process fault detection and diagnosis
Xiaotian Bi, Ruoshi Qin, Deyang Wu, et al.
Computers & Chemical Engineering (2022) Vol. 164, pp. 107884-107884
Closed Access | Times Cited: 61
A data-driven Bayesian network model integrating physical knowledge for prioritization of risk influencing factors
Huixing Meng, Xu An, Jinduo Xing
Process Safety and Environmental Protection (2022) Vol. 160, pp. 434-449
Open Access | Times Cited: 45
Cybersecurity in process control, operations, and supply chain
Sandra Parker, Zhe Wu, Panagiotis D. Christofides
Computers & Chemical Engineering (2023) Vol. 171, pp. 108169-108169
Open Access | Times Cited: 37
Integrating process dynamics in data-driven models of chemical processing systems
Mohammad Alauddin, Faisal Khan, Syed Imtiaz, et al.
Process Safety and Environmental Protection (2023) Vol. 174, pp. 158-168
Closed Access | Times Cited: 37
Large-scale chemical process causal discovery from big data with transformer-based deep learning
Xiaotian Bi, Deyang Wu, Daoxiong Xie, et al.
Process Safety and Environmental Protection (2023) Vol. 173, pp. 163-177
Closed Access | Times Cited: 35
A review on effective alarm management systems for industrial process control: Barriers and opportunities
Faizan E Mustafa, Ijaz Ahmed, Abdul Basit, et al.
International Journal of Critical Infrastructure Protection (2023) Vol. 41, pp. 100599-100599
Closed Access | Times Cited: 32
Topology-Guided Graph Learning for Process Fault Diagnosis
Mingwei Jia, Junhao Hu, Yi Liu, et al.
Industrial & Engineering Chemistry Research (2023) Vol. 62, Iss. 7, pp. 3238-3248
Closed Access | Times Cited: 29
A robust neural network model for fault detection in the presence of mislabelled data
Mohammad Alauddin, Faisal Khan, Syed Imtiaz, et al.
The Canadian Journal of Chemical Engineering (2024) Vol. 102, Iss. 4, pp. 1368-1380
Closed Access | Times Cited: 15
Process safety 4.0: Artificial intelligence or intelligence augmentation for safer process operation?
Rajeevan Arunthavanathan, Zaman Sajid, Md. Tanjin Amin, et al.
AIChE Journal (2024) Vol. 70, Iss. 7
Open Access | Times Cited: 13
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: 12
Dual-attention LSTM autoencoder for fault detection in industrial complex dynamic processes
Lei Zeng, Qiwen Jin, Zhiming Lin, et al.
Process Safety and Environmental Protection (2024) Vol. 185, pp. 1145-1159
Closed Access | Times Cited: 12
Artificial intelligence – Human intelligence conflict and its impact on process system safety
Rajeevan Arunthavanathan, Zaman Sajid, Faisal Khan, et al.
Digital Chemical Engineering (2024) Vol. 11, pp. 100151-100151
Open Access | Times Cited: 12
A novel triage-based fault diagnosis method for chemical process
Qucheng Tao, Bingru Xin, Yifan Zhang, et al.
Process Safety and Environmental Protection (2024) Vol. 183, pp. 1102-1116
Closed Access | Times Cited: 9
Graph contrastive learning of modeling global-local interactions under hierarchical strategy: Application in anomaly detection
Weiwei Guo, Yan Wang, Le Zhou, et al.
Process Safety and Environmental Protection (2025), pp. 106871-106871
Closed Access | Times Cited: 1
Joint Time-Serial Variation Analysis for Fault Monitoring of Chemical Processes
Guowei Hu, Chudong Tong, Jia Zeng, et al.
Process Safety and Environmental Protection (2025), pp. 106867-106867
Closed Access | Times Cited: 1
Exploring global attention mechanism on fault detection and diagnosis for complex engineering processes
Kun Zhou, Yifan Tong, Xintong Li, et al.
Process Safety and Environmental Protection (2022) Vol. 170, pp. 660-669
Open Access | Times Cited: 36
A novel deep learning model based on target transformer for fault diagnosis of chemical process
Zhenchao Wei, Xu Ji, Li Zhou, et al.
Process Safety and Environmental Protection (2022) Vol. 167, pp. 480-492
Closed Access | Times Cited: 35
A novel knowledge enhanced graph neural networks for fault diagnosis with application to blast furnace process safety
Yinghua Han, Qing Li, Chen Wang, et al.
Process Safety and Environmental Protection (2022) Vol. 166, pp. 143-157
Closed Access | Times Cited: 29
Safety and risk analysis in digitalized process operations warning of possible deviating conditions in the process environment
Chizubem Benson, Christos D. Argyropoulos, Christos Dimopoulos, et al.
Process Safety and Environmental Protection (2021) Vol. 149, pp. 750-757
Closed Access | Times Cited: 36
Variational autoencoder based on distributional semantic embedding and cross-modal reconstruction for generalized zero-shot fault diagnosis of industrial processes
Miao Mou, Xiaoqiang Zhao, Kai Liu, et al.
Process Safety and Environmental Protection (2023) Vol. 177, pp. 1154-1167
Closed Access | Times Cited: 16
An adaptive imbalance modified online broad learning system-based fault diagnosis for imbalanced chemical process data stream
Jinkun Men, C.M. Zhao
Expert Systems with Applications (2023) Vol. 234, pp. 121159-121159
Closed Access | Times Cited: 15
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