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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:

Multiscale Feature Fusion and Semi-Supervised Temporal-Spatial Learning for Performance Monitoring in the Flotation Industrial Process
Yalin Wang, Silong Li, Chenliang Liu, et al.
IEEE Transactions on Cybernetics (2023) Vol. 54, Iss. 2, pp. 974-987
Closed Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

Multimodal Data-Driven Reinforcement Learning for Operational Decision-Making in Industrial Processes
Chenliang Liu, Yalin Wang, Chunhua Yang, et al.
IEEE/CAA Journal of Automatica Sinica (2024) Vol. 11, Iss. 1, pp. 252-254
Open Access | Times Cited: 15
Template-based Feature Aggregation Network for industrial anomaly detection
Wei Luo, Haiming Yao, Wenyong Yu
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107810-107810
Closed Access | Times Cited: 7
Anomaly detection using large-scale multimode industrial data: An integration method of nonstationary kernel and autoencoder
Kai Wang, Caoyin Yan, Yanfang Mo, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107839-107839
Closed Access | Times Cited: 7
Revolutionizing Flotation Process Working Condition Identification Based on Froth Audio
Yalin Wang, Chenliang Liu, Hansheng Wu, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 12
Operating Condition Recognition of Industrial Flotation Processes Using Visual and Acoustic Bimodal Autoencoder With Manifold Learning
Chenliang Liu, Yalin Wang, Yijing Fang, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 5, pp. 7428-7439
Closed Access | Times Cited: 4
A task-oriented deep learning framework based on target-related transformer network for industrial quality prediction applications
Yalin Wang, Rao Dai, Diju Liu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108361-108361
Closed Access | Times Cited: 4
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
Exploring interpretable evolutionary optimization via significance of each constraint and population diversity
Yalin Wang, Xujie Tan, Chenliang Liu, et al.
Swarm and Evolutionary Computation (2024) Vol. 91, pp. 101679-101679
Closed Access | Times Cited: 4
Degradation mechanism of octadecylamine and 4-dodecylmorpholine in Salk Lake Brine under UV light
Taotao Liu, Wei Nie, Wei Song, et al.
Journal of environmental chemical engineering (2025) Vol. 13, Iss. 2, pp. 115401-115401
Closed Access
Semi-supervised contrastive learning for flotation process monitoring with uncertainty-aware prototype optimization
Mingxi Ai, Jin Zhang, Peng Li, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 145, pp. 110222-110222
Closed Access
Recent advances in flotation froth image analysis via deep learning
Xin Chen, Dan Liu, Longzhou Yu, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 147, pp. 110283-110283
Closed Access
Advancing cardiac MRI multi‐structure segmentation: A semi‐supervised multidimensional consistency constraint learning network
Hongzhen Cui, Meihua Piao, Xin Huang, et al.
Medical Physics (2025)
Closed Access
Multirate-Former: An Efficient Transformer-Based Hierarchical Network for Multistep Prediction of Multirate Industrial Processes
Diju Liu, Yalin Wang, Chenliang Liu, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 73, pp. 1-13
Closed Access | Times Cited: 9
Multilevel Fine-Grained Features-Based General Framework for Object Detection
Fengyuan Zuo, Jinhai Liu, Zhaolin Chen, et al.
IEEE Transactions on Cybernetics (2024) Vol. 54, Iss. 11, pp. 6921-6933
Closed Access | Times Cited: 3
Unlocking operational excellence: A deep dive into a communication-driven multi-strategy state transition algorithm for industrial process optimization
Xujie Tan, Yalin Wang, Chenliang Liu, et al.
Chemometrics and Intelligent Laboratory Systems (2023) Vol. 240, pp. 104934-104934
Open 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
A Robust Semi-Supervised Broad Learning System Guided by Ensemble-Based Self-Training
Jifeng Guo, C. L. Philip Chen
IEEE Transactions on Cybernetics (2024) Vol. 54, Iss. 11, pp. 6410-6422
Closed Access | Times Cited: 2
Mutual stacked autoencoder for unsupervised fault detection under complex multi-residual correlations
Jianbo Yu, Zhaomin Lv, Hang Ruan, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102837-102837
Closed Access | Times Cited: 2
Comprehensive working condition evaluation of the sintering process based on polymorphic indicators
Yijing Fang, Weihua Gui, Zhaohui Jiang, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102220-102220
Closed Access | Times Cited: 5
Data-Driven Raw Material Robust Procurement for Non-Ferrous Metal Smelter Under Price and Demand Uncertainties
Yishun Liu, Weiping Liu, Shaochong Lin, et al.
IEEE Transactions on Automation Science and Engineering (2023) Vol. 21, Iss. 4, pp. 5852-5865
Closed Access | Times Cited: 5
Residual-aware deep attention graph convolutional network via unveiling data latent interactions for product quality prediction in industrial processes
Y. Frank Chen, Yalin Wang, Qingkai Sui, et al.
Expert Systems with Applications (2023) Vol. 245, pp. 123078-123078
Closed Access | Times Cited: 5
Statistically Interpretable Health Indicator Based on Dynamic Interactions Decoupling for Gear Wear Assessment
Guangyao Zhang, Yi Wang, Zehao Fan, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-12
Closed Access | Times Cited: 1
LSTENet: Cement productivity prediction using a self-attention spatio-temporal variational autoencoder
Guangsi Shi, Shirui Pan, Ruiping Zou
Powder Technology (2024) Vol. 436, pp. 119448-119448
Open Access | Times Cited: 1
Distributed Dynamic Graph Embedding for Quality-Related Monitoring in the Flotation Process
Wei Zhang, Yunpeng Gao, Jiangzhao Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 1
A segmentation method based on boundary fracture correction for froth scale measurement
Yongqi Gan, Wenzhuo Liu, Jianwang Gan, et al.
Applied Intelligence (2024) Vol. 54, Iss. 9-10, pp. 6959-6980
Closed Access | Times Cited: 1
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