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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:

Gated recurrent unit-enhanced deep convolutional neural network for real-time industrial process fault diagnosis
Jiaxin Zhang, Miao Zhang, Zemin Feng, et al.
Process Safety and Environmental Protection (2023) Vol. 175, pp. 129-149
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

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: 9
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
Deep learning-based hydrogen leakage localization prediction considering sensor layout optimization in hydrogen refueling stations
Shilu Wang, Yubo Bi, Jihao Shi, et al.
Process Safety and Environmental Protection (2024) Vol. 189, pp. 549-560
Closed Access | Times Cited: 7
LSTA-Net framework: Pioneering intelligent diagnostics for insulating bearings under real-world complex operational conditions and its interpretability
Tongguang Yang, Guanchen Li, Yicheng Duan, et al.
Mechanical Systems and Signal Processing (2024) Vol. 222, pp. 111779-111779
Closed Access | Times Cited: 7
LTFM-net framework: Advanced intelligent diagnostics and interpretability of insulated bearing faults in offshore wind turbines under complex operational conditions
Tongguang Yang, Lingli Jiang, Yufei Guo, et al.
Ocean Engineering (2024) Vol. 309, pp. 118533-118533
Closed Access | Times Cited: 5
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
Fault Diagnosis of Dynamic Chemical Processes Based on Improved Residual Network Combined with a Gated Recurrent Unit
Shiqian Han, Pingping WANG, Cheng Zhang, et al.
ACS Omega (2025) Vol. 10, Iss. 9, pp. 8859-8869
Open Access
Deep learning and heterogeneous signal fusion approach to precursor feature recognition and early warning of coal and gas outburst
Bing Li, Enyuan Wang, Zheng Shang, et al.
Process Safety and Environmental Protection (2023) Vol. 178, pp. 995-1008
Closed Access | Times Cited: 14
Hierarchical multihead self-attention for time-series-based fault diagnosis
Chengtian Wang, Hongbo Shi, Bing Song, et al.
Chinese Journal of Chemical Engineering (2024) Vol. 70, pp. 104-117
Closed Access | Times Cited: 2
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: 2
The TSM-net: a new strategy for insulated bearings intelligent faults diagnosis
Tongguang Yang, Shubiao Zhao, Zhang Jun-an, et al.
Physica Scripta (2023) Vol. 98, Iss. 12, pp. 126008-126008
Closed Access | Times Cited: 7
An Improved Industrial Fault Diagnosis Model by Integrating Enhanced Variational Mode Decomposition with Sparse Process Monitoring Method
Jiaxin Zhang, Gade Pandu Rangaiah, Lichun Dong, et al.
Reliability Engineering & System Safety (2024), pp. 110492-110492
Closed Access | Times Cited: 2
A fault diagnosis method for few-shot industrial processes based on semantic segmentation and hybrid domain transfer learning
Ying Tian, Yiwei Wang, Xin Peng, et al.
Applied Intelligence (2023) Vol. 53, Iss. 23, pp. 28268-28290
Closed Access | Times Cited: 5
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
Deep Learning-Based Boolean, Time Series, Error Detection, and Predictive Analysis in Container Crane Operations
Amruta Awasthi, Lenka Krpálková, J. L. Walsh
Algorithms (2024) Vol. 17, Iss. 8, pp. 333-333
Open Access | Times Cited: 1
A comprehensive fault detection and diagnosis method for chemical processes
Silin Rao, Jingtao Wang
Chemical Engineering Science (2024) Vol. 300, pp. 120565-120565
Closed Access | Times Cited: 1
A feature extension and reconstruction method with incremental learning capabilities under limited samples for intelligent diagnosis
Kui Hu, Zhihao Bi, Qingbo He, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102796-102796
Closed Access | Times Cited: 1
A Robust Multi-Model Framework for Groundwater Level Prediction: The BFSA-MVMD-GRU-RVM Model
Akram Seifi, Sharareh Pourebrahim, Mohammad Ehteram, et al.
Results in Engineering (2024), pp. 103250-103250
Open Access | Times Cited: 1
A framework to model contractors’ hazard and risk exposure at process plants using unsupervised text mining
Satyajeet Sahoo, J. Maiti, V.K. Tewari
Process Safety and Environmental Protection (2023) Vol. 183, pp. 24-45
Closed Access | Times Cited: 3
Root cause analysis of faults in cement pre-decomposition system using kernel principal component analysis and multi-scale symbolic transfer entropy
Xiaochen Hao, Yunzhi Wang, Zhipeng Zhang, et al.
Chemical Engineering Science (2023) Vol. 286, pp. 119681-119681
Closed Access | Times Cited: 2
Fault detection and identification method: 3D-CNN combined with continuous wavelet transform
Chinatsu Ukawa, Yoshiyuki Yamashita
Computers & Chemical Engineering (2024) Vol. 189, pp. 108791-108791
Closed Access
Development of a Hierarchical Clustering Method for Anomaly Identification and Labelling of Marine Machinery Data
Christian Velasco-Gallego, Iraklis Lazakis, Nieves Mateo
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 10, pp. 1792-1792
Open Access
Deep network model fusion of wide kernel feature learning for industrial process modeling and fault diagnosis
Youqiang Chen, Cheng Zhang, Ridong Zhang, et al.
Process Safety and Environmental Protection (2024)
Closed Access
RETRACTED: Fault diagnosis of chemical process based on SE-ResNet-BiGRU neural network
Huiyong Wu, Ziwei Zhou, Hongkun Li, et al.
Journal of Intelligent & Fuzzy Systems (2024) Vol. 46, Iss. 4, pp. 9311-9328
Closed Access
A Novel Fault Diagnosis Framework for Industrial Production Processes Based on Causal Network Inference
Jiaxin Zhang, Gade Pandu Rangaiah, Lichun Dong, et al.
Industrial & Engineering Chemistry Research (2024) Vol. 63, Iss. 21, pp. 9471-9488
Closed Access
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