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:

Quality Prediction Modeling for Industrial Processes Using Multiscale Attention-Based Convolutional Neural Network
Xiaofeng Yuan, Lingfeng Huang, Lingjian Ye, et al.
IEEE Transactions on Cybernetics (2024) Vol. 54, Iss. 5, pp. 2696-2707
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Variable Correlation Analysis-Based Convolutional Neural Network for Far Topological Feature Extraction and Industrial Predictive Modeling
Xiaofeng Yuan, Yichen Wang, Chen Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-10
Closed Access | Times Cited: 31

A Deep Residual PLS for Data-Driven Quality Prediction Modeling in Industrial Process
Xiaofeng Yuan, Weiwei Xu, Yalin Wang, et al.
IEEE/CAA Journal of Automatica Sinica (2024) Vol. 11, Iss. 8, pp. 1777-1785
Closed Access | Times Cited: 7

A Spatiotemporal Industrial Soft Sensor Modeling Scheme for Quality Prediction With Missing Data
Liang Ma, Mengwei Wang, Kaixiang Peng
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-10
Closed Access | Times Cited: 5

All‐nonlinear static‐dynamic neural networks versus Bayesian machine learning for data‐driven modelling of chemical processes
Angan Mukherjee, Samuel Adeyemo, Debangsu Bhattacharyya
The Canadian Journal of Chemical Engineering (2024)
Closed Access | Times Cited: 5

Soft sensing technique for mass customization based on heterogeneous causal graph attention networks
Wenhao Hu, Yun Wang, Yuchen He, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103139-103139
Closed Access

Automatic multimode identification of complex industrial processes based on network community detection with manifold similarity
Yan‐Ning Sun, Hong Qiao, Hong‐Wei Xu, et al.
IET Collaborative Intelligent Manufacturing (2025) Vol. 7, Iss. 1
Open Access

Fault Diagnosis of Dynamic Chemical Processes Based on Improved Residual Network Combined with a Gated Recurrent Unit
Shiqian Han, Pingping WANG, Cheng Zhang, et al.
ACS Omega (2025) Vol. 10, Iss. 9, pp. 8859-8869
Open Access

A quality-driven multi-attribute channel hybrid neural network for soft sensing in refining processes
Zhi Li, Kaige Xue, Junfeng Chen, et al.
Measurement (2025), pp. 117061-117061
Closed Access

Graph neural networks for virtual sensing in complex systems: Addressing heterogeneous temporal dynamics
Mengjie Zhao, Cees Taal, Stephan Baggerohr, et al.
Mechanical Systems and Signal Processing (2025) Vol. 230, pp. 112544-112544
Open Access

Neural network-based hybrid modeling approach incorporating Bayesian optimization with industrial soft sensor application
Zhenhua Yu, Zhongyi Zhang, Qingchao Jiang, et al.
Knowledge-Based Systems (2024) Vol. 301, pp. 112341-112341
Closed Access | Times Cited: 4

Missing-Data Imputation with Position-Encoding Denoising Auto-encoders for Industrial Processes
Chen Ou, Hongqiu Zhu, Yuri A.W. Shardt, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 3

Soft sensor model for nonlinear dynamic industrial process based on GraphSAGE-IMATCN
Benben Tuo, Xiaoqiang Zhao, Kaiwen Sun, et al.
Process Safety and Environmental Protection (2024)
Closed Access | Times Cited: 2

Adaptive soft sensor modeling of chemical processes based on an improved just‐in‐time learning and random mapping partial least squares
Ke Zhang, Xiangrui Zhang
Journal of Chemometrics (2024) Vol. 38, Iss. 9
Closed Access | Times Cited: 1

An Efficient Composite Deep Latent Feature Learning Framework With Layerwise Random Mapping for Complicated Industrial Soft Sensor Modeling
Ziheng Wang, Xiaogang Deng, Yue Zhao, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 17, pp. 28441-28451
Closed Access | Times Cited: 1

A Cloud-Edge Collaborative Framework for Adaptive Quality Prediction Modeling in IIoT
Xiaofeng Yuan, Yichen Wang, Kai Wang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 20, pp. 33656-33668
Closed Access | Times Cited: 1

Data-Driven Soft Sensor for Hot Strip Mill Process Based on Multi-Scale Information-fusion Attention Network
Jianye Xue, Kang Li, Tongshuai Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 1

Multi-timescale Attention Residual Shrinkage Network with Adaptive Global-Local Denoising for Rolling-Bearing Fault Diagnosis
Huihui Gao, Xiaoran Zhang, Xuejin Gao, et al.
Knowledge-Based Systems (2024) Vol. 304, pp. 112478-112478
Closed Access | Times Cited: 1

A novel spatio-temporal attention-based bidirectional LSTM model for moisture content prediction in drying process
Lei Zhang, Guofeng Ren, DU Jinsong, et al.
Drying Technology (2024) Vol. 42, Iss. 14, pp. 2122-2136
Closed Access | Times Cited: 1

AwsQgcNet: A Novel Soft Sensor Method for Quality Prediction Modeling in Suspended Magnetization Roasting Process
Dandan Yao, Ying Yang, Lei Huang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 16, pp. 26946-26959
Closed Access

Dual‐noise autoencoder combining pseudo‐labels and consistency regularization for process fault classification
Xiaoping Guo, Qingyu Guo, Yuan Li
The Canadian Journal of Chemical Engineering (2024)
Closed Access

Layer-wise-residual-driven approach for soft sensing in composite dynamic system based on slow and fast time-varying latent variables
Zhengxuan Zhang, Xu Yang, Jian Huang, et al.
Chemometrics and Intelligent Laboratory Systems (2024) Vol. 254, pp. 105245-105245
Closed Access

Hierarchical Event-RGB Interaction Network for Single-eye Expression Recognition
Runduo Han, Xiuping Liu, Yi Zhang, et al.
Information Sciences (2024) Vol. 690, pp. 121539-121539
Closed Access

Missing value imputation method based on correlation analysis and Gaussian mixture model
Jie Zhang, Yuqing Chang, Ran Wang, et al.
Transactions of the Institute of Measurement and Control (2024)
Closed Access

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