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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:

Efficient JITL framework for nonlinear industrial chemical engineering soft sensing based on adaptive multi-branch variable scale integrated convolutional neural networks
Yifan Chen, Anlan Li, Xiangyang Li, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102199-102199
Closed Access | Times Cited: 10

Showing 10 citing articles:

Two-dimensional LSTM soft sensor using noisy process data
Qiao Liu, Mingwei Jia, Xiaowei Guo, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 085001-085001
Open Access | Times Cited: 6
A systematic data-driven modelling framework for nonlinear distillation processes incorporating data intervals clustering and new integrated learning algorithm
Zhe Wang, Renchu He, Jian Long
Chinese Journal of Chemical Engineering (2025)
Closed Access
A multi-time-scale multi-step prediction method for gas utilization rate in a BF based on just-in-time learning
Guoyu Zhao, Jianqi An, Yunpeng Guo, et al.
Control Engineering Practice (2024) Vol. 147, pp. 105940-105940
Closed Access | Times Cited: 3
Soft sensor development for mixed oil interface tracking in multi-product pipelines based on knowledge-informed semi-supervised Variational Bayesian Gaussian mixture regression
Ziyun Yuan, Lei Chen, Gang Liu, et al.
Energy (2024) Vol. 300, pp. 131516-131516
Closed Access | Times Cited: 1
Graph-based active semi-supervised learning: Case study in water quality monitoring
Zesen Wang, Yonggang Li, Chunhua Yang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102902-102902
Closed Access | Times Cited: 1
Mdff: Multi-Domain Feature Fusion for Anomaly Recognition
Yuan Xu, Cheng-Shu Ye, Yi Luo, et al.
(2024)
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
Just-in-time learning method based on two kinds of local samples combined with two-stage training parallel learner for nonlinear chemical process soft sensing
Jian Long, Yifan Chen, Liang Zhao
Measurement (2024) Vol. 238, pp. 115371-115371
Closed Access
A novel semi-supervised robust learning framework for dynamic generative latent variable models and its application to industrial virtual metrology
Wenxue Han, Weiming Shao, Chihang Wei, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102775-102775
Closed Access
Efficient prediction framework for large-scale nonlinear petrochemical process based on feature selection and temporal-attention LSTM: Applied to fluid catalytic cracking
Jian Long, Long Ye, Haifei Peng, et al.
Chemical Engineering Science (2024), pp. 120733-120733
Closed Access
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