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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:

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

Showing 12 citing articles:

Deep Residual Principal Component Analysis as Feature Engineering for Industrial Data Analytics
Junhua Zheng, Zeyu Yang, Zhiqiang Ge
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-10
Closed Access | Times Cited: 5
A Hierarchical Hybrid Learning Framework for Multi-Agent Trajectory Prediction
Yujun Jiao, Mingze Miao, Zhishuai Yin, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 8, pp. 10344-10354
Open Access | Times Cited: 3
Novel Semi-supervised Deep Probabilistic Slow Feature Extraction for Online Chemical Process Soft Sensing Application
Jiayu Wang, Le Yao, Weili Xiong
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 2
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
Bayesian-Based Causal Structure Inference With a Domain Knowledge Prior for Stable and Interpretable Soft Sensing
Xiangrui Zhang, Chunyue Song, Biao Huang, et al.
IEEE Transactions on Cybernetics (2024) Vol. 54, Iss. 10, pp. 6081-6094
Closed Access | Times Cited: 1
Robust Learning-Based Model Predictive Control for Intelligent Vehicles With Unknown Dynamics and Unbounded Disturbances
HanQiu Bao, Qi Kang, XuDong Shi, et al.
IEEE Transactions on Intelligent Vehicles (2023) Vol. 9, Iss. 2, pp. 3409-3421
Closed Access | Times Cited: 2
Semi-supervised soft sensor development based on dynamic dimensionality reduction-assisted large-scale pseudo label optimization and sample-weighted quality-relevant deep learning
Huaiping Jin, Guangkun Liu, Bin Qian, et al.
Chemical Engineering Science (2024) Vol. 298, pp. 120387-120387
Closed Access
Toward Enhanced Efficiency: Soft Sensing and Intelligent Modeling in Industrial Electrical Systems
Paúl Arévalo, Danny Ochoa-Correa
Processes (2024) Vol. 12, Iss. 7, pp. 1365-1365
Open Access
Intelligent Robust Modeling of Blast Furnace Molten Iron Quality Based on Imperfect Industrial Data
Ping Zhou, Chaoyao Wen, Xiaoyang Sun
Elsevier eBooks (2024)
Closed Access
A sparse low-rank matrix recovery strategy to deal with robust identification for multi-model systems with time-varying delays
Junxia Ma, Ronghuan Li, Yujie Ma, et al.
Signal Processing (2024) Vol. 229, pp. 109783-109783
Closed Access
Semi-Supervised Soft Sensor Development Based on Dynamic Dimensionality Reduction-Assisted Large-Scale Pseudo Label Optimization and Sample-Weighted Quality-Relevant Deep Learning
Huaiping Jin, Guangkun Liu, Bin Qian, et al.
(2023)
Closed Access
LightGCNet: A Lightweight Geometric Constructive Neural Network for Data-Driven Soft sensors
Jing Nan, Yan Qin, Wei Dai, et al.
(2023)
Open Access
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