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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:

Nonlinear Process Fault Diagnosis Based on Serial Principal Component Analysis
Xiaogang Deng, Xuemin Tian, Sheng Chen, et al.
IEEE Transactions on Neural Networks and Learning Systems (2016) Vol. 29, Iss. 3, pp. 560-572
Open Access | Times Cited: 177

Showing 1-25 of 177 citing articles:

Review and Perspectives of Data-Driven Distributed Monitoring for Industrial Plant-Wide Processes
Qingchao Jiang, Xuefeng Yan, Biao Huang
Industrial & Engineering Chemistry Research (2019) Vol. 58, Iss. 29, pp. 12899-12912
Closed Access | Times Cited: 258
Parallel PCA–KPCA for nonlinear process monitoring
Qingchao Jiang, Xuefeng Yan
Control Engineering Practice (2018) Vol. 80, pp. 17-25
Closed Access | Times Cited: 190
A Survey of Predictive Maintenance: Systems, Purposes and Approaches
Yongyi Ran, Xin Zhou, Pengfeng Lin, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 176
Fault Diagnosis of Hydraulic Systems Based on Deep Learning Model With Multirate Data Samples
Keke Huang, Shujie Wu, Fanbiao Li, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 11, pp. 6789-6801
Closed Access | Times Cited: 131
Transfer Learning-Motivated Intelligent Fault Diagnosis Designs: A Survey, Insights, and Perspectives
Hongtian Chen, Hao Luo, Biao Huang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 3, pp. 2969-2983
Open Access | Times Cited: 66
Enhanced Random Forest With Concurrent Analysis of Static and Dynamic Nodes for Industrial Fault Classification
Zheng Chai, Chunhui Zhao
IEEE Transactions on Industrial Informatics (2019) Vol. 16, Iss. 1, pp. 54-66
Closed Access | Times Cited: 142
Fault Diagnosis Based on Weighted Extreme Learning Machine With Wavelet Packet Decomposition and KPCA
Qin Hu, Aisong Qin, Qinghua Zhang, et al.
IEEE Sensors Journal (2018) Vol. 18, Iss. 20, pp. 8472-8483
Closed Access | Times Cited: 115
Forecasting Horticultural Products Price Using ARIMA Model and Neural Network Based on a Large-Scale Data Set Collected by Web Crawler
Yuchen Weng, Xiujuan Wang, Jing Hua, et al.
IEEE Transactions on Computational Social Systems (2019) Vol. 6, Iss. 3, pp. 547-553
Closed Access | Times Cited: 111
A Review of Kernel Methods for Feature Extraction in Nonlinear Process Monitoring
Karl Ezra Pilario, Mahmood Shafiee, Yi Cao, et al.
Processes (2019) Vol. 8, Iss. 1, pp. 24-24
Open Access | Times Cited: 105
Local–Global Modeling and Distributed Computing Framework for Nonlinear Plant-Wide Process Monitoring With Industrial Big Data
Qingchao Jiang, Shifu Yan, Hui Cheng, et al.
IEEE Transactions on Neural Networks and Learning Systems (2020) Vol. 32, Iss. 8, pp. 3355-3365
Closed Access | Times Cited: 98
Deep Principal Component Analysis Based on Layerwise Feature Extraction and Its Application to Nonlinear Process Monitoring
Xiaogang Deng, Xuemin Tian, Sheng Chen, et al.
IEEE Transactions on Control Systems Technology (2018) Vol. 27, Iss. 6, pp. 2526-2540
Closed Access | Times Cited: 97
Interaction-Aware Graph Neural Networks for Fault Diagnosis of Complex Industrial Processes
Dongyue Chen, Ruonan Liu, Qinghua Hu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 34, Iss. 9, pp. 6015-6028
Closed Access | Times Cited: 86
Data-Driven Designs of Fault Detection Systems via Neural Network-Aided Learning
Hongtian Chen, Zheng Chai, Oguzhan Dogru, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 10, pp. 5694-5705
Closed Access | Times Cited: 79
Convolutional Long Short-Term Memory Autoencoder-Based Feature Learning for Fault Detection in Industrial Processes
Jianbo Yu, Xing Liu, Lyujiangnan Ye
IEEE Transactions on Instrumentation and Measurement (2020) Vol. 70, pp. 1-15
Closed Access | Times Cited: 75
Trends and Challenges in Intelligent Condition Monitoring of Electrical Machines Using Machine Learning
Karolina Kudelina, Toomas Vaimann, Bilal Asad, et al.
Applied Sciences (2021) Vol. 11, Iss. 6, pp. 2761-2761
Open Access | Times Cited: 74
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: 73
Extraction of Reduced Fault Subspace Based on KDICA and Its Application in Fault Diagnosis
Xiangyu Kong, Zhiyan Yang, Jiayu Luo, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-12
Closed Access | Times Cited: 39
A Deep Residual PLS for Data-Driven Quality Prediction Modeling in Industrial Process
Xiaofeng Yuan, Weiwei Xu, Yalin Wang, et al.
IEEE/CAA Journal of Automatica Sinica (2024) Vol. 11, Iss. 8, pp. 1777-1785
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
Fault Diagnosis of Complex Processes Using Sparse Kernel Local Fisher Discriminant Analysis
Kai Zhong, Min Han, Tie Qiu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2019) Vol. 31, Iss. 5, pp. 1581-1591
Closed Access | Times Cited: 73
Comparative analysis of eddy current pulsed thermography and long pulse thermography for damage detection in metals and composites
Zijun Wang, Junzhen Zhu, Gui Yun Tian, et al.
NDT & E International (2019) Vol. 107, pp. 102155-102155
Closed Access | Times Cited: 65
Learning Deep Correlated Representations for Nonlinear Process Monitoring
Qingchao Jiang, Xuefeng Yan
IEEE Transactions on Industrial Informatics (2018) Vol. 15, Iss. 12, pp. 6200-6209
Closed Access | Times Cited: 62
Incipient fault detection for nonlinear processes based on dynamic multi-block probability related kernel principal component analysis
Peipei Cai, Xiaogang Deng
ISA Transactions (2020) Vol. 105, pp. 210-220
Closed Access | Times Cited: 57
Research on the fault monitoring method of marine diesel engines based on the manifold learning and isolation forest
Ruihan Wang, Hui Chen, Cong Guan, et al.
Applied Ocean Research (2021) Vol. 112, pp. 102681-102681
Closed Access | Times Cited: 50
Fault detection and diagnosis of the air handling unit via an enhanced kernel slow feature analysis approach considering the time-wise and batch-wise dynamics
Hanyuan Zhang, Chengdong Li, Li Ding, et al.
Energy and Buildings (2021) Vol. 253, pp. 111467-111467
Closed Access | Times Cited: 43
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