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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:

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

Showing 1-25 of 35 citing articles:

Real-time pipeline leak detection and localization using an attention-based LSTM approach
Xinqi Zhang, Jihao Shi, Ming Yang, et al.
Process Safety and Environmental Protection (2023) Vol. 174, pp. 460-472
Open Access | Times Cited: 43
Transformer-based deep learning models for adsorption capacity prediction of heavy metal ions toward biochar-based adsorbents
Zeeshan Haider Jaffari, Ather Abbas, Chang‐Min Kim, et al.
Journal of Hazardous Materials (2023) Vol. 462, pp. 132773-132773
Closed Access | Times Cited: 38
ProTopormer: Toward Understandable Fault Diagnosis Combining Process Topology for Chemical Processes
Deyang Wu, Xiaotian Bi, Jinsong Zhao
Industrial & Engineering Chemistry Research (2023) Vol. 62, Iss. 21, pp. 8350-8361
Closed Access | Times Cited: 23
Swarm intelligence based deep learning model via improved whale optimization algorithm and Bi-directional long short-term memory for fault diagnosis of chemical processes
Chunlei Ji, Chu Zhang, Leiming Suo, et al.
ISA Transactions (2024) Vol. 147, pp. 227-238
Closed Access | Times Cited: 12
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: 11
A multi-feature-based fault diagnosis method based on the weighted timeliness broad learning system
Wenkai Hu, Yan Wang, Yupeng Li, et al.
Process Safety and Environmental Protection (2024) Vol. 183, pp. 231-243
Closed Access | Times Cited: 8
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: 8
Alarm rationalization and dynamic risk analyses for rare abnormal events
Vikram Sudarshan, Warren D. Seider, Amish J. Patel, et al.
Computers & Chemical Engineering (2024) Vol. 184, pp. 108633-108633
Closed Access | Times Cited: 5
Causal temporal graph attention network for fault diagnosis of chemical processes
Jiaojiao Luo, Z.P. Jin, Heping Jin, et al.
Chinese Journal of Chemical Engineering (2024) Vol. 70, pp. 20-32
Closed Access | Times Cited: 5
Domain generalization of chemical process fault diagnosis by maximizing domain feature distribution alignment
Kun Zhou, Rui Wang, Yifan Tong, et al.
Process Safety and Environmental Protection (2024) Vol. 185, pp. 817-830
Closed Access | Times Cited: 5
ETSVF-COVID19: efficient two-stage voting framework for COVID-19 detection
Kemal Akyol
Neural Computing and Applications (2024) Vol. 36, Iss. 29, pp. 18277-18295
Open Access | Times Cited: 4
Dual adversarial and contrastive network for single-source domain generalization in fault diagnosis
Guangqiang Li, Mohamed Amine Atoui, Xiangshun Li
Advanced Engineering Informatics (2025) Vol. 65, pp. 103140-103140
Closed Access
Sequence-Aware Vision Transformer with Feature Fusion for Fault Diagnosis in Complex Industrial Processes
Zhong Zhang, Ming Xu, Song Wang, et al.
Entropy (2025) Vol. 27, Iss. 2, pp. 181-181
Open Access
The BT-SAM-Net: a new framework of end-to-end periodic time-series fault diagnosis for aero-pipelines systems
Tongguang Yang, Zhonghua Dang, Yicheng Duan, et al.
Physica Scripta (2024) Vol. 99, Iss. 7, pp. 076004-076004
Open Access | Times Cited: 3
Cross-domain fault diagnosis for multimode green ammonia synthesis process based on DA-CycleGAN
Yu Hua, Wenjing Chen, Heping Jin, et al.
Process Safety and Environmental Protection (2024) Vol. 191, pp. 52-64
Closed Access | Times Cited: 3
Designing a fault detection classifier framework for an industrial dynamic ultrafiltration membrane process using wavelet-based feature analysis
Morteza Zadkarami, Ali Akbar Safavi, Krist V. Gernaey, et al.
Process Safety and Environmental Protection (2023) Vol. 174, pp. 1-19
Closed Access | Times Cited: 8
Variance-capturing forward-forward autoencoder (VFFAE): A forward learning neural network for fault detection and isolation of process data
Deepak Kumar, Umang Goswami, Hariprasad Kodamana, et al.
Process Safety and Environmental Protection (2023) Vol. 178, pp. 176-194
Closed Access | Times Cited: 8
Multivariate alarm systems to recognize rare unpostulated abnormal events
Vikram Sudarshan, Warren D. Seider, Amish J. Patel, et al.
AIChE Journal (2023) Vol. 70, Iss. 2
Closed Access | Times Cited: 7
Fault detection of complicated processes based on an enhanced transformer network with graph attention mechanism
Yuping Cao, Xiaoguang Tang, Xiaogang Deng, et al.
Process Safety and Environmental Protection (2024) Vol. 186, pp. 783-797
Closed Access | Times Cited: 2
Two-dimensional explainability method for fault diagnosis of fluid machine
Jiaquan Liu, Lei Hou, Sichen He, et al.
Process Safety and Environmental Protection (2023) Vol. 178, pp. 1148-1160
Closed Access | Times Cited: 6
LiteFormer: A Lightweight and Efficient Transformer for Rotating Machine Fault Diagnosis
Wenjun Sun, Ruqiang Yan, Ruibing Jin, et al.
IEEE Transactions on Reliability (2023) Vol. 73, Iss. 2, pp. 1258-1269
Closed Access | Times Cited: 6
Abnormal Situation Management in Chemical Processes: Recent Research Progress and Future Prospects
Shangzhi Liu, Fangyi Lei, Dongfeng Zhao, et al.
Processes (2023) Vol. 11, Iss. 6, pp. 1608-1608
Open Access | Times Cited: 5
Physical Graph-Based Spatiotemporal Fusion Approach for Process Fault Diagnosis
Fengzhen Zhang, Qibing Jin, Dazi Li, et al.
ACS Omega (2024) Vol. 9, Iss. 8, pp. 9486-9502
Open Access | Times Cited: 1
Enhanced process monitoring for industrial coking furnace using a dual‐channel pooling and homologous bilinear model‐based convolutional neural network
Chunle Hua, Yuancun Cui, Feng Wu, et al.
The Canadian Journal of Chemical Engineering (2024) Vol. 102, Iss. 8, pp. 2857-2875
Closed Access | Times Cited: 1
A framework for process risk assessment incorporating prior hazard information in text mining models using chunking
Satyajeet Sahoo, Pranav Mukane, J. Maiti, et al.
Process Safety and Environmental Protection (2024) Vol. 189, pp. 486-504
Closed Access | Times Cited: 1
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