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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:

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

Showing 1-25 of 30 citing articles:

The role of artificial intelligence-driven soft sensors in advanced sustainable process industries: A critical review
Yasith S. Perera, D.A.A.C. Ratnaweera, Chamila H. Dasanayaka, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 105988-105988
Open Access | Times Cited: 74
When Deep Learning-Based Soft Sensors Encounter Reliability Challenges: A Practical Knowledge-Guided Adversarial Attack and Its Defense
Runyuan Guo, Han Liu, Ding Liu
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 2, pp. 2702-2714
Closed Access | Times Cited: 46
A Self-Interpretable Soft Sensor Based on Deep Learning and Multiple Attention Mechanism: From Data Selection to Sensor Modeling
Runyuan Guo, Han Liu, Guo Xie, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 5, pp. 6859-6871
Closed Access | Times Cited: 51
Data Mode Related Interpretable Transformer Network for Predictive Modeling and Key Sample Analysis in Industrial Processes
Diju Liu, Yalin Wang, Chenliang Liu, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 9, pp. 9325-9336
Closed Access | Times Cited: 44
Forest fire surveillance systems: A review of deep learning methods
Azlan Saleh, Mohd Asyraf Zulkifley, Hazimah Haspi Harun, et al.
Heliyon (2023) Vol. 10, Iss. 1, pp. e23127-e23127
Open Access | Times Cited: 31
Advances in Machine‐Learning Enhanced Nanosensors: From Cloud Artificial Intelligence Toward Future Edge Computing at Chip Level
Zixuan Zhang, Xinmiao Liu, Hong Zhou, et al.
Small Structures (2023) Vol. 5, Iss. 4
Open Access | Times Cited: 27
Adversarial Robustness Enhancement for Deep Learning-Based Soft Sensors: An Adversarial Training Strategy Using Historical Gradients and Domain Adaptation
Runyuan Guo, Qingyuan Chen, Han Liu, et al.
Sensors (2024) Vol. 24, Iss. 12, pp. 3909-3909
Open Access | Times Cited: 9
MD-GNN: A mechanism-data-driven graph neural network for molecular properties prediction and new material discovery
Saian Chen, Aziguli Wulamu, Qiping Zou, et al.
Journal of Molecular Graphics and Modelling (2023) Vol. 123, pp. 108506-108506
Closed Access | Times Cited: 18
Research on Fusion Modeling for Active Magnetic Bearings Based on Mechanism and Data Driven
Xinhao Sun, Xiaoting Gao, Yong Feng, et al.
Communications in computer and information science (2025), pp. 222-234
Closed Access
A hybrid data-driven and mechanistic model soft sensor for estimating CO2 concentrations for a carbon capture pilot plant
Yilin Zhuang, Yixuan Liu, Akhil Ahmed, et al.
Computers in Industry (2022) Vol. 143, pp. 103747-103747
Closed Access | Times Cited: 21
Mixed Student’s T-Distribution Regression Soft Measurement Model and Its Application Based on VI and MCMC
Qirui Li, C. C. Li, Zhiping Peng, et al.
Processes (2025) Vol. 13, Iss. 3, pp. 861-861
Open Access
Measurement of oxygen content in water with purity through soft sensor model
A. Thiruneelakandan, Gaganpreet Kaur, Geetha Vadnala, et al.
Measurement Sensors (2022) Vol. 24, pp. 100589-100589
Open Access | Times Cited: 15
Data Augmentation Using Time Conditional Variational Autoencoder for Soft Sensor of Industrial Processes with Limited Data
Jiayang Wu, Feifan Shen, Lingjian Ye
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-14
Closed Access | Times Cited: 2
A sparse regularized soft sensor based on GRU and self-interpretation double nonnegative garrote: From variable selection to structure optimization
Lin Sui, Wenxin Sun, Wentao Liu, et al.
Control Engineering Practice (2024) Vol. 153, pp. 106074-106074
Closed Access | Times Cited: 2
Learning thermoacoustic interactions in combustors using a physics-informed neural network
Sathesh Mariappan, Kamaljyoti Nath, George Em Karniadakis
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109388-109388
Closed Access | Times Cited: 2
A Zero-Shot Soft Sensor Modeling Approach Using Adversarial Learning for Robustness Against Sensor Fault
Ze Yang Ding, Junn Yong Loo, Surya G. Nurzaman, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 4, pp. 5891-5901
Closed Access | Times Cited: 12
Data-Driven and Mechanism-Based Hybrid Model for Semiconductor Silicon Monocrystalline Quality Prediction in the Czochralski Process
Jun-Chao Ren, Ding Liu, Yin Wan
IEEE Transactions on Semiconductor Manufacturing (2022) Vol. 35, Iss. 4, pp. 658-669
Closed Access | Times Cited: 9
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
Hybrid modeling of hetero-agglomeration processes: a framework for model selection and arrangement
Frank Rhein, Leonard Hibbe, Hermann Nirschl
Engineering With Computers (2023) Vol. 40, Iss. 1, pp. 583-604
Open Access | Times Cited: 4
Bayesian-Based Causal Structure Inference With a Domain Knowledge Prior for Stable and Interpretable Soft Sensing
Xiangrui Zhang, Chunyue Song, Biao Huang, et al.
IEEE Transactions on Cybernetics (2024) Vol. 54, Iss. 10, pp. 6081-6094
Closed Access | Times Cited: 1
Horizontal Data Augmentation Strategy for Industrial Quality Prediction
Shiwei Gao, Qingsong Zhang, Ran Tian, et al.
ACS Omega (2022) Vol. 7, Iss. 35, pp. 30782-30793
Open Access | Times Cited: 6
A Hybrid Data-Driven Soft Sensor Framework for Torque Estimation
Le Wang, Xueke Zheng, Ying Wang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 20, pp. 24993-25004
Closed Access | Times Cited: 2
A novel multi-step prediction model for process monitoring
Yi Shan Lee, Sai Kit Ooi, Junghui Chen
International Journal of Advances in Intelligent Informatics (2024) Vol. 10, Iss. 2, pp. 333-333
Open Access
Quality-driven deep feature representation learning and its industrial application to soft sensors
Xiao-Lu Song, Ning Zhang, Yilin Shi, et al.
Journal of Process Control (2024) Vol. 142, pp. 103300-103300
Closed Access
Just-in-time updated DBN BOF steel-making soft sensor model based on dense connectivity of key features
Zongxu Lu, Hui Liu, Fugang Chen, et al.
High Temperature Materials and Processes (2024) Vol. 43, Iss. 1
Open Access
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