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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:

Soft Sensing of Nonlinear and Multimode Processes Based on Semi-Supervised Weighted Gaussian Regression
XuDong Shi, Qi Kang, MengChu Zhou, et al.
IEEE Sensors Journal (2020) Vol. 20, Iss. 21, pp. 12950-12960
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Novel L1 Regularized Extreme Learning Machine for Soft-Sensing of an Industrial Process
XuDong Shi, Qi Kang, Jing An, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 2, pp. 1009-1017
Closed Access | Times Cited: 67
Semi-Supervised Deep Dynamic Probabilistic Latent Variable Model for Multimode Process Soft Sensor Application
Le Yao, Bingbing Shen, Linlin Cui, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 4, pp. 6056-6068
Closed Access | Times Cited: 31
Soft-sensing of Wastewater Treatment Process via Deep Belief Network with Event-triggered Learning
Gongming Wang, Qing‐Shan Jia, MengChu Zhou, et al.
Neurocomputing (2021) Vol. 436, pp. 103-113
Closed Access | Times Cited: 37
VAE4RSS: A VAE-based neural network approach for robust soft sensor with application to zinc roasting process
Chengzhu Wang, Yonggang Li, Keke Huang, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 114, pp. 105180-105180
Closed Access | Times Cited: 25
Moment-Based Model Predictive Control of Autonomous Systems
HanQiu Bao, Qi Kang, XuDong Shi, et al.
IEEE Transactions on Intelligent Vehicles (2023) Vol. 8, Iss. 4, pp. 2939-2953
Closed Access | Times Cited: 13
Pseudo label estimation based on label distribution optimization for industrial semi-supervised soft sensor
Huaiping Jin, Feihong Rao, Wangyang Yu, et al.
Measurement (2023) Vol. 217, pp. 113036-113036
Closed Access | Times Cited: 12
Semi-Supervised Deep Conditional Variational Autoencoder for Soft Sensor Modeling
Xiaochu Tang, Jiawei Yan, Yuan Li, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 5, pp. 7153-7164
Closed Access | Times Cited: 5
Boosting semi-supervised regressor via confidence-weighted consistency regularization
Liyan Liu, Lei Feng, Fan Min
Knowledge-Based Systems (2025), pp. 113319-113319
Closed Access
Principal Component-Based Semi-Supervised Extreme Learning Machine for Soft Sensing
XuDong Shi, Qi Kang, HanQiu Bao, et al.
IEEE Transactions on Automation Science and Engineering (2023) Vol. 21, Iss. 3, pp. 3966-3976
Closed Access | Times Cited: 12
Soft sensor modeling for small data scenarios based on data enhancement and selective ensemble
Huaiping Jin, Shuqi Huang, Bin Wang, et al.
Chemical Engineering Science (2023) Vol. 279, pp. 118958-118958
Closed Access | Times Cited: 8
Tracking Dependent Extended Targets Using Multi-Output Spatiotemporal Gaussian Processes
Behzad Akbari, Haibin Zhu
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 10, pp. 18301-18314
Closed Access | Times Cited: 12
Transductive transfer broad learning for cross-domain information exploration and multigrade soft sensor application
Jialiang Zhu, Mingwei Jia, Ying Zhang, et al.
Chemometrics and Intelligent Laboratory Systems (2023) Vol. 235, pp. 104778-104778
Closed Access | Times Cited: 7
Soft Sensor Enhancement for Multimodal Industrial Process Data: Meta Regression Gaussian Mixture Variational Autoencoder
Lei Chen, Yuan Xu, Qunxiong Zhu, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-9
Closed Access | Times Cited: 2
Model-Agnostic Meta-Learning With Optimal Alternative Scaling Value and Its Application to Industrial Soft Sensing
Yusheng Lu, Xin Peng, Dan Yang, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 17, Iss. 12, pp. 8003-8013
Closed Access | Times Cited: 17
Self-Detection and Self-Diagnosis Methods for Sensors in Intelligent Integrated Sensing System
Manhong Zhu, Li Jia, Weibing Wang, et al.
IEEE Sensors Journal (2021) Vol. 21, Iss. 17, pp. 19247-19254
Closed Access | Times Cited: 16
Co-training neural network-based infrared sensor array for natural gas monitoring
Jinlei Wang, Sai Lian, Bingjie Lei, et al.
Sensors and Actuators A Physical (2022) Vol. 335, pp. 113392-113392
Closed Access | Times Cited: 12
Domain adaptation graph convolution network for quality inferring of batch processes
Jialiang Zhu, Mingwei Jia, Ying Zhang, et al.
Chemometrics and Intelligent Laboratory Systems (2023) Vol. 243, pp. 105028-105028
Closed Access | Times Cited: 6
A Performance-Driven MPC Algorithm for Underactuated Bridge Cranes
HanQiu Bao, Qi Kang, Jing An, et al.
Machines (2021) Vol. 9, Iss. 8, pp. 177-177
Open Access | Times Cited: 15
CutPaste-Based Anomaly Detection Model using Multi Scale Feature Extraction in Time Series Streaming Data
Byeong-Uk Jeon, Kyungyong Chung
KSII Transactions on Internet and Information Systems (2022) Vol. 16, Iss. 8
Open Access | Times Cited: 8
Data-Driven Soft Sensor for Crude Oil Fouling Monitoring in Heat Exchanger Networks
Xutao Mei, Hikaru Kiyomoto, Shoma Kato, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 21, pp. 26336-26346
Closed Access | Times Cited: 4
Soft Sensor Modeling Method for the Marine Lysozyme Fermentation Process Based on ISOA-GPR Weighted Ensemble Learning
Na Lü, Bo Wang, Xianglin Zhu
Sensors (2023) Vol. 23, Iss. 22, pp. 9119-9119
Open Access | Times Cited: 4
Semi-supervised echo state network with temporal–spatial graph regularization for dynamic soft sensor modeling of industrial processes
Ping Wang, Yichao Yin, Xiaogang Deng, et al.
ISA Transactions (2022) Vol. 130, pp. 306-315
Open Access | Times Cited: 7
Multiple source partial knowledge transfer for manufacturing system modelling
Xu Liu, Yingguang Li, Lu Chen, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 80, pp. 102468-102468
Closed Access | Times Cited: 7
Contextual Mixture of Experts: Integrating Knowledge into Predictive Modeling
Francisco Souza, Tim Offermans, Ruud Barendse, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 8, pp. 9048-9059
Open Access | Times Cited: 7
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