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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:

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

Showing 12 citing articles:

A holistic global-local stochastic configuration network modeling framework with antinoise awareness for efficient semi-supervised regression
Xiaogang Deng, Yue Zhao, Jing Zhang, et al.
Information Sciences (2024) Vol. 661, pp. 120132-120132
Closed Access | Times Cited: 5
Automated biomedical measurements analysis: Innovative models based on machine learning for predicting laboratory results in nephrology
Dawid Pawuś, Tomasz Porażko, Szczepan Paszkiel
Expert Systems with Applications (2025), pp. 126568-126568
Closed Access
Automation and Decision Support in Nephrology: An Expert System Based on AI and ML for the Assessment, Treatment, and Management of Focal Segmental Glomerulosclerosis
Dawid Pawuś, Tomasz Porażko, Szczepan Paszkiel
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1044-1044
Open Access
Semi-supervised soft sensor modeling based on reward mechanism
Tianzhen Li, Shiwei Gao, Xiaohui Dong
Measurement (2025), pp. 116761-116761
Closed Access
Novel Systems Based on Artificial Intelligence and Numerical Algorithms for Predicting Laboratory Results: A Comparative Study of Original Automatic Prediction Model with Advances in the Field
Dawid Pawuś, Tomasz Porażko, Szczepan Paszkiel
Lecture notes in networks and systems (2025), pp. 113-131
Closed Access
Soft Sensing of LPG Processes Using Deep Learning
N. Sifakis, Nikolaos Sarantinoudis, George Tsinarakis, et al.
Sensors (2023) Vol. 23, Iss. 18, pp. 7858-7858
Open Access | Times Cited: 6
Variable-Period Estimation of Process Industry Indicators Using Working Condition Semantic Representation and Mechanism-Guided Network Groups
Tianhao Liu, Chunhua Yang, Can Zhou, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 8, pp. 10167-10177
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.
Chemical Engineering Science (2024) Vol. 298, pp. 120387-120387
Closed Access
Soft Sensor Development Based on Large-Scale Pseudo Labeling Optimization
Guangkun Liu, Huaiping Jin, Bin Wang, et al.
2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS) (2024), pp. 1325-1332
Closed Access
A novel self-training framework for semi-supervised soft sensor modeling based on indeterminate variational autoencoder
Hengqian Wang, Lei Chen, Kuangrong Hao, et al.
Information Sciences (2024), pp. 121565-121565
Closed Access
Conditional Regions Denoising Diffusion Probabilistic Model Based Virtual Sample Generation for Soft Sensor with Small Data
Qun‐Xiong Zhu, Weitao Mo, Ye Tian, et al.
(2023)
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
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