Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Incipient fault detection for dynamic chemical processes based on enhanced CVDA integrated with probability information and fault-sensitive features
Xiaogang Deng, Xiaoyue Liu, Yuping Cao, et al.
Journal of Process Control (2022) Vol. 114, pp. 29-41
Open Access | Times Cited: 14

Showing 14 citing articles:

Nonlinear predictable feature learning with explanatory reasoning for complicated industrial system fault diagnosis
Xuepeng Zhang, Xiaogang Deng, Yuping Cao, et al.
Knowledge-Based Systems (2024) Vol. 286, pp. 111404-111404
Closed Access | Times Cited: 4
Incipient fault detection of nonlinear chemical processes based on probability-related randomized slow feature analysis
Xiaogang Deng, Xuepeng Zhang, Xiaoyue Liu, et al.
Process Safety and Environmental Protection (2022) Vol. 169, pp. 797-807
Closed Access | Times Cited: 18
A multivariate monitoring method based on kernel principal component analysis and dual control chart
Liang Liu, Jianchang Liu, Honghai Wang, et al.
Journal of Process Control (2023) Vol. 127, pp. 102994-102994
Closed Access | Times Cited: 10
Recursive ensemble canonical variate analysis for online incipient fault detection in dynamic processes
Liangliang Shang, Yinbo Gu, Yiming Tang, et al.
Measurement (2023) Vol. 220, pp. 113411-113411
Closed Access | Times Cited: 9
Distributed incipient fault detection with causality-based multi-perspective subblock partitioning for large-scale nonlinear processes
Ming Yin, Wei‐Hua Wang, Jiayi Tian, et al.
Process Safety and Environmental Protection (2024) Vol. 185, pp. 492-510
Closed Access | Times Cited: 3
Fault detection and isolation for dynamic non-stationary processes with stationary subspace-based canonical variate analysis
Hongquan Ji, Nan Sheng, Huabo Liu, et al.
Chemical Engineering Science (2024) Vol. 295, pp. 120196-120196
Closed Access | Times Cited: 3
A quality-related distributed fault detection method for large-scale sequential processes
Xueyi Zhang, Liang Ma, Kaixiang Peng, et al.
Control Engineering Practice (2022) Vol. 127, pp. 105308-105308
Closed Access | Times Cited: 13
Hybrid divergence based on mean absolute scaled error for incipient fault detection
Yiming Tang, Liangliang Shang, Runzhuo Zhang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 129, pp. 107662-107662
Closed Access | Times Cited: 7
Incipient fault detection and isolation for dynamic processes with slow feature statistics analysis
Hongquan Ji, Ruixue Wang
Chemical Engineering Science (2024) Vol. 298, pp. 120386-120386
Closed Access | Times Cited: 2
Incipient fault detection for dynamic processes with canonical variate residual statistics analysis
Hongquan Ji, Qingsen Hou, Yingxuan Shao, et al.
Chemometrics and Intelligent Laboratory Systems (2024) Vol. 252, pp. 105189-105189
Closed Access | Times Cited: 2
Dynamic Inner Canonical Variate Network for Incipient Fault Monitoring
Qiang Liu, Congcong Zhang, Chao Yang, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 9, pp. 10922-10932
Closed Access | Times Cited: 1
Incipient Fault Detection in a Hydraulic System Using Canonical Variable Analysis Combined with Adaptive Kernel Density Estimation
Jinxin Wang, Shenglei Zhao, Enyuan Wang, et al.
Sensors (2023) Vol. 23, Iss. 19, pp. 8096-8096
Open Access | Times Cited: 2
Distributed process monitoring of the large-scale system using spatio-temporal-causality and Wasserstein-distance-based canonical variate analysis
Chong Xu, Daoping Huang, Yu Guangping, et al.
Journal of Process Control (2024) Vol. 146, pp. 103367-103367
Closed Access
Ensemble enhanced active learning mixture discriminant analysis model and its application for semi-supervised fault classification
Weijun Wang, Yun Wang, Jun Wang, et al.
Frontiers of Information Technology & Electronic Engineering (2022) Vol. 23, Iss. 12, pp. 1814-1827
Closed Access | Times Cited: 2
Page 1

Scroll to top