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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:

Supervised Attention-Based Bidirectional Long Short-Term Memory Network for Nonlinear Dynamic Soft Sensor Application
Zeyu Yang, Ruining Jia, Peiliang Wang, et al.
ACS Omega (2023) Vol. 8, Iss. 4, pp. 4196-4208
Open Access | Times Cited: 15

Showing 15 citing articles:

Structural acceleration response reconstruction based on BiLSTM network and multi-head attention mechanism
Zifeng Wang, Zhenrui Peng
Structures (2024) Vol. 64, pp. 106602-106602
Closed Access | Times Cited: 10
RegGAN: A Virtual Sample Generative Network for Developing Soft Sensors with Small Data
Yuhong Wang, Pengfei Yan
ACS Omega (2024) Vol. 9, Iss. 5, pp. 5954-5965
Open Access | Times Cited: 5
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
A Novel Bidirectional Long Short-Term Memory Network With Weighted Attention Mechanism for Industrial Soft Sensor Development
Miao Zhang, Beike Xu, Jing Jie, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 11, pp. 18546-18555
Closed Access | Times Cited: 3
Adversarial Transferred Data-Assisted Soft Sensor for Enhanced Multigrade Quality Prediction
Yun Dai, Chao Yang, Jialiang Zhu, et al.
ACS Omega (2023) Vol. 8, Iss. 22, pp. 19900-19911
Open Access | Times Cited: 5
Prox-STA-LSTM: A Sparse Representation for the Attention-Based LSTM Networks for Industrial Soft Sensor Development
Yurun Wang, Yi Huang, Dongsheng Chen, et al.
IEEE Access (2024) Vol. 12, pp. 80633-80645
Open 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
Information Filtering Unit-Based Long Short-Term Memory Network for Industrial Soft Sensor Modeling
Xiaoqing Zheng, Yifan Zhao, Bo Peng, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 8, pp. 13530-13544
Closed Access
Adaptive Temporal–Spatial Pyramid Variational Autoencoder Model for Multirate Dynamic Chemical Process Soft Sensing Application
Bingbing Shen, Zeyu Yang, Le Yao
ACS Omega (2024) Vol. 9, Iss. 21, pp. 23021-23032
Open Access
Semi-Supervised Soft Sensor Modeling for Industrial Dynamic Information Mining Based on Two-Path Weight Comparison
Ruining Jia, Xinyi Jin, Xinru Ni, et al.
2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS) (2024), pp. 1877-1882
Closed Access
ESTIMATION OF QUALITY VARIABLES IN A CONTINUOUS TRAIN OF REACTORS USING RECURRENT NEURAL NETWORKS-BASED SOFT SENSORS.
Mariano M. Perdomo, Luis A. Clementi, Jorge R. Vega
Chemometrics and Intelligent Laboratory Systems (2024) Vol. 253, pp. 105204-105204
Closed Access
A Hybrid Strategy Enhanced Sub-Sampled Recursive Second Order Algorithm for Chemical Process Intelligent Identification
Yaxin Wang, Baochang Xu
International Journal of Computational Intelligence Systems (2023) Vol. 16, Iss. 1
Open Access | Times Cited: 1
Improving resilience of sensors in planetary exploration using data-driven models
Dileep Kumar, Manuel Domínguez-Pumar, Elisa Sayrol Clols, et al.
Machine Learning Science and Technology (2023) Vol. 4, Iss. 3, pp. 035041-035041
Open Access | Times Cited: 1
Extreme Weather Prediction for Highways Based on LSTM-CNN
Jun Yang, Jiajia Cui, Ming Huang
(2023), pp. 191-196
Closed Access | Times Cited: 1
The Use of Recurrent Nets for the Prediction of e-Commerce Sales
Eman Aldhahri
Engineering Technology & Applied Science Research (2023) Vol. 13, Iss. 3, pp. 10931-10935
Open Access
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