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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.

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Showing 1-25 of 30 citing articles:

Novel virtual sample generation method based on data augmentation and weighted interpolation for soft sensing with small data
Xiao-Lu Song, Yan‐Lin He, Xingyuan Li, et al.
Expert Systems with Applications (2023) Vol. 225, pp. 120085-120085
Closed Access | Times Cited: 24
The LST-SATM-net: A new deep feature learning framework for aero-engine hydraulic pipeline systems intelligent faults diagnosis
Tongguang Yang, Guanchen Li, Shenyou Yuan, et al.
Applied Acoustics (2023) Vol. 210, pp. 109436-109436
Closed Access | Times Cited: 21
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
A multimodal hierarchical learning approach for virtual metrology in semiconductor manufacturing
Qunlong Chen, Hong‐Wei Xu, Hong‐Wei Xu
Journal of Manufacturing Systems (2025) Vol. 80, pp. 194-205
Closed Access
Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization
Junkun Yuan, Xu Ma, Defang Chen, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 35, Iss. 12, pp. 12528-12541
Open Access | Times Cited: 9
Local machine learning model-based multi-objective optimization for managing system interdependencies in production: A case study from the ironmaking industry
Matej Vuković, Georgios Koutroulis, Belgin Mutlu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108099-108099
Closed Access | Times Cited: 3
Sensitive Feature Selection for Industrial Flotation Process Soft Sensor Based on Multiswarm PSO With Collaborative Search
Shiwen Xie, Yongjia Yu, Yongfang Xie, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 10, pp. 17159-17168
Closed Access | Times Cited: 3
Gauging Size Resolved Ambient Particulate Matter Concentration Solely Using Biometric Observations: A Machine Learning and Causal Approach
David J. Lary
Medical Research Archives (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 2
The TPRF: A Novel Soft Sensing Method of Alumina–Silica Ratio in Red Mud Based on TPE and Random Forest Algorithm
Fanguang Meng, Zhiguo Shi, Yongxing Song
Processes (2024) Vol. 12, Iss. 4, pp. 663-663
Open Access | Times Cited: 2
Research on soft sensor modeling method for complex chemical processes based on local semi-supervised selective ensemble learning
Xuefeng Liu, Longhao Li, Fan Zhang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 075110-075110
Closed Access | Times Cited: 2
Accelerated MPC: A real-time model predictive control acceleration method based on TSMixer and 2D block stochastic configuration network imitative controller
Zhao Liu, Xiaodong Xu, Biao Luo, et al.
Process Safety and Environmental Protection (2024) Vol. 208, pp. 837-852
Closed Access | Times Cited: 2
Reconstructing causal networks from data for the analysis, prediction, and optimization of complex industrial processes
Yan‐Ning Sun, Y. Pan, Lilan Liu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109494-109494
Closed Access | Times Cited: 2
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
Data-driven adaptive and stable feature selection method for large-scale industrial systems
Xiuli Zhu, Yan Song, Peng Wang, et al.
Control Engineering Practice (2024) Vol. 153, pp. 106097-106097
Closed Access | Times Cited: 1
Remote Parkinson's disease severity prediction based on causal game feature selection
Zaifa Xue, Huibin Lu, Tao Zhang, et al.
Expert Systems with Applications (2023) Vol. 241, pp. 122690-122690
Closed Access | Times Cited: 3
Dynamic nonlinear soft sensor modelling method using linear slow feature analysis and least squares support vector regression for batch processes
Shuning Zhang, Ke Liu, Han Zhang, et al.
The Canadian Journal of Chemical Engineering (2023) Vol. 102, Iss. 5, pp. 1796-1813
Closed Access | Times Cited: 3
Causal analysis of nitrogen oxides emissions process in coal-fired power plant with LiNGAM
Tatsuki Saito, Koichi Fujiwara
Frontiers in Analytical Science (2023) Vol. 3
Open Access | Times Cited: 2
Binary modified Cat and Mouse based Optimizer for medical feature selection: A COVID-19 case study
Morteza Karimzadeh Parizi
Research Square (Research Square) (2024)
Open Access
Supervised Neighborhood Preserving Autoencoder for Soft Measurement Modeling
Xiaolong Ye, Tianyi Zhou, Xu Chen, et al.
2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS) (2024), pp. 37-42
Closed Access
Transformative Analysis of Mental Health in Rural China: The CART Algorithm Approach
Dongge Fu, JingZi He, Qichen Mu
Research Square (Research Square) (2024)
Open Access
Explainable Data Mining Method for Liquid Rocket Engines Based on Knowledge, Physical Model and Data
Xiaopu Zhang, Yang Li, Feng Ren, et al.
(2024)
Closed Access
Feature Constrained Encoding Generative Adversarial Prediction Network for Quality Measurement Modeling Under Multi-time Scales Data Imbalance In Process Industry
Gaolu Huang, Xiaochen Hao, Yifu Zhang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 13, pp. 20928-20939
Closed Access
A knowledge empowered graph learning feature selection method based on variation propagation effect representation and analysis for human-centric manufacturing systems
Qiuhao Xu, Pengjie Gao, Junliang Wang, et al.
International Journal of Production Research (2024), pp. 1-18
Closed Access
Causality-Driven Feature Selection for Calibrating Low-Cost Airborne Particulate Sensors Using Machine Learning
Vinu Sooriyaarachchi, David J. Lary, Lakitha O. H. Wijeratne, et al.
Sensors (2024) Vol. 24, Iss. 22, pp. 7304-7304
Open Access
Hyperparameter tuning design of performance indicators prediction for hydrogen fuel cells based on Bayesian optimisation with AIGC
Yu Song, Yan‐Ning Sun, Jiaqi Zhu, et al.
Journal of Engineering Design (2024), pp. 1-24
Closed Access
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