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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:

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

Showing 25 citing articles:

A multi-subsystem collaborative Bi-LSTM-based adaptive soft sensor for global prediction of ammonia-nitrogen concentration in wastewater treatment processes
Dong Li, Chunhua Yang, Yonggang Li
Water Research (2024) Vol. 254, pp. 121347-121347
Closed Access | Times Cited: 20
Attribute-relevant distributed variational autoencoder integrated with LSTM for dynamic industrial soft sensing
Yan‐Lin He, Xingyuan Li, Jiahui Ma, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 119, pp. 105737-105737
Closed Access | Times Cited: 26
Quality Regularization-Based Semisupervised Adversarial Transfer Model With Unlabeled Data for Industrial Soft Sensing
Yan‐Lin He, Lei Chen, Qun-Xiong Zhu
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 2, pp. 1190-1197
Closed Access | Times Cited: 15
Information Complementary Fusion Stacked Autoencoders for Soft Sensor Applications in Multimode Industrial Processes
Xinmin Zhang, Bocun He, Hongyu Zhu, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 1, pp. 106-116
Closed Access | Times Cited: 14
Deep Gaussian mixture adaptive network for robust soft sensor modeling with a closed-loop calibration mechanism
Xiangrui Zhang, Chunyue Song, Jun Zhao, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106124-106124
Closed Access | Times Cited: 13
Learning a neural network-based soft sensor with double-errors parallel optimization towards effluent variable prediction in wastewater treatment plants
Dong Li, Chunhua Yang, Yonggang Li, et al.
Journal of Environmental Management (2024) Vol. 366, pp. 121907-121907
Closed Access | Times Cited: 5
Variational autoencoder based on knowledge sharing and correlation weighting for process-quality concurrent fault detection
Ziyuan Wang, Chengzhu Wang, Yonggang Li
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108051-108051
Closed Access | Times Cited: 4
Synthesizing Spreading-out features for generative zero-shot image classification
Jingren Liu, Ke Sun, Zheng Zhang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110151-110151
Closed Access
Tool digital twin based on knowledge embedding for precision CNC machine tools: Wear prediction for collaborative multi-tool
Jiacheng Sun, Dong Wang, Zhenyu Liu, et al.
Journal of Manufacturing Systems (2025) Vol. 80, pp. 157-175
Closed Access
Chronic lymphocytic leukemia (CLL) screening and abnormality detection based on multi-layer fluorescence imaging signal enhancement and compensation
Lin Shi, Ping Gong, Mingye Li, et al.
Journal of Cancer Research and Clinical Oncology (2025) Vol. 151, Iss. 3
Open Access
Nonlinear MPC based on elastic autoregressive fuzzy neural network with roasting process application
Huiping Liang, Chunhua Yang, Yonggang Li, et al.
Expert Systems with Applications (2023) Vol. 224, pp. 120012-120012
Closed Access | Times Cited: 11
Reconstruction and fast prediction of 3D heat and mass transfer based on a variational autoencoder
Gongyan Liu, Runze Li, Xiaozhou Zhou, et al.
International Communications in Heat and Mass Transfer (2023) Vol. 149, pp. 107112-107112
Open Access | Times Cited: 11
Adaptive Multi-Head Self-Attention Based Supervised VAE for Industrial Soft Sensing With Missing Data
Lei Chen, Yuan Xu, Qunxiong Zhu, et al.
IEEE Transactions on Automation Science and Engineering (2023) Vol. 21, Iss. 3, pp. 3564-3575
Closed Access | Times Cited: 9
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
Zinc roasting temperature field control with CFD model and reinforcement learning
Huiping Liang, Chunhua Yang, Mingjie Lv, et al.
Advanced Engineering Informatics (2023) Vol. 59, pp. 102332-102332
Closed Access | Times Cited: 7
Digital twin for zinc roaster furnace based on knowledge-guided variable-mass thermodynamics: Modeling and application
Chengzhu Wang, Zhijie Wang, Keke Huang, et al.
Process Safety and Environmental Protection (2023) Vol. 173, pp. 39-50
Closed Access | Times Cited: 6
A Multivariable Probability Density-Based Auto-Reconstruction Bi-LSTM Soft Sensor for Predicting Effluent BOD in Wastewater Treatment Plants
Wenting Li, Yonggang Li, Dong Li, et al.
Sensors (2024) Vol. 24, Iss. 23, pp. 7508-7508
Open Access | Times Cited: 1
Opportunities in Neural Networks for Industry 4.0
Rodrigo de Paula Monteiro, José Paulo G. de Oliveira, Sérgio Campello Oliveira, et al.
(2024), pp. 257-269
Closed Access | Times Cited: 1
Weighted target feature regression neural networks based soft sensing for industrial process
Xiaoping Guo, Qianqian Wang, Yuan Li
The Canadian Journal of Chemical Engineering (2023) Vol. 102, Iss. 2, pp. 840-852
Closed Access | Times Cited: 3
A process optimization method based on first principle model for the roasting process
Huiping Liang, Chunhua Yang, Xulong Zhang, et al.
Minerals Engineering (2023) Vol. 205, pp. 108484-108484
Closed Access | Times Cited: 2
Semi-supervised soft sensor method for fermentation processes based on physical monotonicity and variational autoencoders
Xinyue Cheng, Zhenhua Yu, Guan Wang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109065-109065
Closed Access
A temperature measurement compensation method for industrial rotary kilns based on infrared multi-feature fusion under dynamic water mist interference
Yonggang Li, Fan Mo, Fengrun Tang, et al.
Infrared Physics & Technology (2024) Vol. 141, pp. 105485-105485
Closed Access
Just-in-time framework for robust soft sensing based on robust variational autoencoder
Fan Guo, K. Liu, Biao Huang
Journal of Process Control (2024) Vol. 143, pp. 103325-103325
Closed Access
Cloud–edge collaborative control for roaster furnace: A hybrid first-principles and data-driven method
Zhijie Wang, Chengzhu Wang, Chunhua Yang
Journal of Industrial Information Integration (2023) Vol. 36, pp. 100531-100531
Closed Access
A Soft Sensing Technique Based on Weighted Variational Auto-Encoder and its Application in Industrial Processes
Xiao-Lu Song, Ning Zhang, Yan‐Lin He, et al.
2021 China Automation Congress (CAC) (2023), pp. 3045-3049
Closed Access
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