Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Semisupervised dynamic soft sensor based on complementary ensemble empirical mode decomposition and deep learning
Runyuan Guo, Han Liu
Measurement (2021) Vol. 183, pp. 109788-109788
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

An evolutionary deep learning soft sensor model based on random forest feature selection technique for penicillin fermentation process
Lei Hua, Chu Zhang, Wei Sun, et al.
ISA Transactions (2022) Vol. 136, pp. 139-151
Closed Access | Times Cited: 46
VMD-SEAE-TL-Based Data-Driven soft sensor modeling for a complex industrial batch processes
Jun-Chao Ren, Ding Liu, Yin Wan
Measurement (2022) Vol. 198, pp. 111439-111439
Closed Access | Times Cited: 24
Enhanced deep learning framework for accurate near-failure RUL prediction of bearings in varying operating conditions
Anil Kumar, Chander Parkash, Pradeep Kundu, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103231-103231
Closed Access
A Hybrid Mechanism- and Data-Driven Soft Sensor Based on the Generative Adversarial Network and Gated Recurrent Unit
Runyuan Guo, Han Liu
IEEE Sensors Journal (2021) Vol. 21, Iss. 22, pp. 25901-25911
Closed Access | Times Cited: 30
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
A soft sensor model based on CNN-BiLSTM and IHHO algorithm for Tennessee Eastman process
Yiman Li, Peng Tian, Wei Sun, et al.
Measurement (2023) Vol. 218, pp. 113195-113195
Closed Access | Times Cited: 12
Robust Low-Rank Clustering Contrastive Learning Integrating Transformer for Noisy Industrial Soft Sensors
Hao Wu, Yongming Han, Min Liu, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-10
Closed Access | Times Cited: 7
Deep learning with local spatiotemporal structure preserving for soft sensor development of complex industrial processes
Xiao Wang, Xiaomei Qi, Yong Zhang
Applied Soft Computing (2024) Vol. 164, pp. 111974-111974
Closed Access | Times Cited: 2
Developing semi-supervised latent dynamic variational autoencoders to enhance prediction performance of product quality
Yi Shan Lee, Junghui Chen
Chemical Engineering Science (2022) Vol. 265, pp. 118192-118192
Open Access | Times Cited: 12
Deep Semi-Supervised Just-in-Time Learning Based Soft Sensor for Mooney Viscosity Estimation in Industrial Rubber Mixing Process
Yan Zhang, Huaiping Jin, Haipeng Liu, et al.
Polymers (2022) Vol. 14, Iss. 5, pp. 1018-1018
Open Access | Times Cited: 11
A denoising and multiscale residual deep network for soft sensor modeling of industrial processes
Renzhi Gao, Hegong Zhu, Gang Wang, et al.
Measurement Science and Technology (2022) Vol. 33, Iss. 10, pp. 105117-105117
Closed Access | Times Cited: 10
A multi-model fusion soft measurement method for cement clinker f-CaO content based on K-means ++ and EMD-MKRVM
Rongfeng Zhang, Shizeng Lu, Xiaohong Wang, et al.
Transactions of the Institute of Measurement and Control (2022) Vol. 45, Iss. 2, pp. 287-301
Closed Access | Times Cited: 9
A novel soft sensor method based on stacked fusion autoencoder with feature enhancement for industrial application
Wenhua Wang, Hengqian Wang, Lei Chen, et al.
Measurement (2023) Vol. 221, pp. 113491-113491
Closed Access | Times Cited: 5
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
Additive dynamic Bayesian networks for enhanced feature learning in soft sensor modeling
Junhua Zheng, Lingquan Zeng, Zeyu Yang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108881-108881
Closed Access | Times Cited: 1
Dual adversarial learning-based virtual sample generation method for data expansion of soft senors
Xiao Wang, Han Liu, Longhao Li, et al.
Measurement (2022) Vol. 198, pp. 111409-111409
Closed Access | Times Cited: 6
A virtual sample generation method based on manifold learning and a generative adversarial network for soft sensor models with limited data
Xinpeng Bai, Shaojun Li
Journal of the Taiwan Institute of Chemical Engineers (2023) Vol. 151, pp. 105117-105117
Closed Access | Times Cited: 3
Noise adaptive filtering model integrating spatio-temporal feature for soft sensor
Xuan Hu, Tianyu Zhang, Zhiqiang Geng, et al.
Expert Systems with Applications (2023) Vol. 239, pp. 122453-122453
Closed Access | Times Cited: 2
Developing a dynamic quality prediction model for limited samples target grade based on transfer learning
Sai Kit Ooi, Yi Shan Lee, Junghui Chen
Measurement (2024) Vol. 229, pp. 114380-114380
Closed Access
A Local Semisupervised Soft Sensor Modeling Method Based on SAE Neural Networks for Spatiotemporal Dynamic Chemical Process
Shuang Wang, Longhao Li, Housheng Zhang, et al.
Industrial & Engineering Chemistry Research (2024)
Closed Access
A mixture of shallow neural networks for virtual sensing: Could perform better than deep neural networks
Weiming Shao, Xu Li, Yupeng Xing, et al.
Expert Systems with Applications (2024) Vol. 256, pp. 124870-124870
Closed Access
An Interpretable Soft Sensor Model for Power Plant Process Based on Deep Learning
Yurong Jing, Han Liu, Runyuan Guo
2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2) (2023), pp. 2079-2085
Closed Access | Times Cited: 1
A Soft-Sensor Modeling Method Based on Gated Stacked Isomorphic Autoencoder
Jianjun Yang, Xiaolu Xu, Xiaohui Yin, et al.
2022 41st Chinese Control Conference (CCC) (2022), pp. 7269-7274
Closed Access | Times Cited: 1
A Quality-Related Concurrent Dual-Latent Variable Model and Its Semi-Supervised Soft Sensor Applications
Yun Wang, Ze Ying, Yuchen He
IEEE Access (2023) Vol. 11, pp. 47539-47551
Open Access
Deep Learning with Local Spatiotemporal Structure Preserving for Soft Sensor Development of Complex Industrial Processes
Xiao Wang, Xiaomei Qi, Yong Zhang
(2023)
Closed Access
Page 1 - Next Page

Scroll to top