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:

Semi-supervised ensemble support vector regression based soft sensor for key quality variable estimation of nonlinear industrial processes with limited labeled data
Zheng Li, Huaiping Jin, Shoulong Dong, et al.
Process Safety and Environmental Protection (2022) Vol. 179, pp. 510-526
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Graph convolutional network soft sensor for process quality prediction
Mingwei Jia, Danya Xu, Tao Yang, et al.
Journal of Process Control (2023) Vol. 123, pp. 12-25
Closed Access | Times Cited: 68

Data-driven soft sensors of papermaking process and its application to cleaner production with multi-objective optimization
Zhenglei He, Jiwei Qian, Jigeng Li, et al.
Journal of Cleaner Production (2022) Vol. 372, pp. 133803-133803
Closed Access | Times Cited: 32

Ensemble methods and semi-supervised learning for information fusion: A review and future research directions
José Luis Garrido‐Labrador, Ana Serrano-Mamolar, Jesús Maudes, et al.
Information Fusion (2024) Vol. 107, pp. 102310-102310
Open Access | Times Cited: 7

Dynamic transfer soft sensor for concept drift adaptation
Tianming Zhang, Gaowei Yan, Mifeng Ren, et al.
Journal of Process Control (2023) Vol. 123, pp. 50-63
Closed Access | Times Cited: 14

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

Multi-mode industrial soft sensor method based on mixture Laplace variational auto-encoder
Tianming Zhang, Gaowei Yan, Rong Li, et al.
Measurement (2024) Vol. 229, pp. 114435-114435
Closed Access | Times Cited: 4

Ensemble transfer learning assisted soft sensor for distributed output inference in chemical processes
Jialiang Zhu, Wangwang Zhu, Yi Liu
Computers & Chemical Engineering (2025) Vol. 194, pp. 109002-109002
Closed Access

Metrologically Interpretable Soft-Sensing Technique for Non-Invasive Liquid Flow Estimation from Vibration Data
Gabriel Thaler, João Paulo Zomer Machado, Rodolfo C.C. Flesch, et al.
Metrology (2025) Vol. 5, Iss. 1, pp. 6-6
Open Access

Boosting semi-supervised regressor via confidence-weighted consistency regularization
Liyan Liu, Lei Feng, Fan Min
Knowledge-Based Systems (2025), pp. 113319-113319
Closed Access

Soft sensor for the prediction of oxygen content in boiler flue gas using neural networks and extreme gradient boosting
Eko David Kurniawan, Nazrul Effendy, Agus Arif, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 1, pp. 345-352
Closed Access | Times Cited: 15

Deep learning with CBAM-based CNN for batch process quality prediction
Xiaoqiang Zhao, Benben Tuo, Yongyong Hui
Measurement Science and Technology (2023) Vol. 34, Iss. 11, pp. 115123-115123
Closed Access | Times Cited: 8

Noise-Tolerant Co-Trained Semisupervised Soft Sensor Model for Industrial Process
Qi Lei, Huiru Wang
IEEE Sensors Journal (2022) Vol. 22, Iss. 20, pp. 19411-19423
Closed Access | Times Cited: 12

A nonlinear industrial soft sensor modeling method based on locality preserving stochastic configuration network with utilizing unlabeled samples
Yue Zhao, Xiaogang Deng, Sen Li
ISA Transactions (2023) Vol. 139, pp. 548-560
Closed Access | Times Cited: 7

A soft sensor model based on an improved semi-supervised stacked autoencoder for just-in-time updating of cement clinker production process data f-CaO
Wei Xing Zheng, Hui Liu, X. R. Zhou, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 056203-056203
Closed Access | Times Cited: 2

Soft sensor modeling based on masked convolutional transformer block deep residual shrinkage network
Shiwei Gao, Tianzhen Li, Xiaohui Dong
Journal of the Taiwan Institute of Chemical Engineers (2024) Vol. 163, pp. 105666-105666
Closed Access | Times Cited: 2

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

Design of a Soft Sensor Based on Long Short-Term Memory Artificial Neural Network (LSTM) for Wastewater Treatment Plants
Roxana Recio-Colmenares, Elizabeth León‐Becerril, Kelly Joel Gurubel Tun, et al.
Sensors (2023) Vol. 23, Iss. 22, pp. 9236-9236
Open Access | Times Cited: 6

A soft sensor regression model for complex chemical process based on generative adversarial nets and vine copula
Hongmin Chen, Ling Jiao, Shaojun Li
Journal of the Taiwan Institute of Chemical Engineers (2022) Vol. 138, pp. 104483-104483
Closed Access | Times Cited: 8

Collaborative Multiple Players to Address Label Sparsity in Quality Prediction of Batch Processes
Ling Zhao, Zheng Zhang, Jinlin Zhu, et al.
Sensors (2024) Vol. 24, Iss. 7, pp. 2073-2073
Open Access | Times Cited: 1

A hybrid approach to soft sensor development for distillation-in-series plant under input data low variability
Igor Mozharovskii, Svetlana Shevlyagina
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 076211-076211
Closed Access | Times Cited: 1

Estimation of citrus leaves’ nitrogen content by multispectral unmanned aerial vehicle remote sensing based on semi-supervised twin neural network regression
Yong Li, Chen Du, Tingxuan Zhang, et al.
Journal of Applied Remote Sensing (2024) Vol. 18, Iss. 03
Closed Access | Times Cited: 1

Prediction interval soft sensor for dissolved oxygen content estimation in an electric arc furnace
Aljaž Blažič, Igor Škrjanc, Vito Logar
Applied Soft Computing (2024), pp. 112246-112246
Open Access | Times Cited: 1

Self-validating sensor technology and its application in artificial olfaction: A review
Yinsheng Chen, Mingyang Wang, Ziyan Chen, et al.
Measurement (2024), pp. 116025-116025
Closed Access | Times Cited: 1

A semi-supervised soft sensor method based on vine copula regression and tri-training algorithm for complex chemical processes
Shisong Liu, Shaojun Li
Journal of Process Control (2022) Vol. 120, pp. 115-128
Closed Access | Times Cited: 6

Semi-Supervised Random Forest Methodology for Fault Diagnosis in Air-Handling Units
Guofeng Ma, Haoran Ding
Buildings (2022) Vol. 13, Iss. 1, pp. 14-14
Open Access | Times Cited: 4

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