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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:

An effective approach for causal variables analysis in diesel engine production by using mutual information and network deconvolution
Wei Qin, Zha Dongye, Jie Zhang
Journal of Intelligent Manufacturing (2018) Vol. 31, Iss. 7, pp. 1661-1671
Closed Access | Times Cited: 21

Showing 21 citing articles:

Big data analytics for intelligent manufacturing systems: A review
Junliang Wang, Chuqiao Xu, Jie Zhang, et al.
Journal of Manufacturing Systems (2021) Vol. 62, pp. 738-752
Closed Access | Times Cited: 361
Attention mechanism-based deep learning for heat load prediction in blast furnace ironmaking process
Hong‐Wei Xu, Wei Qin, Yan‐Ning Sun, et al.
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 3, pp. 1207-1220
Closed Access | Times Cited: 23
Tool wear monitoring in milling of titanium alloy Ti–6Al–4 V under MQL conditions based on a new tool wear categorization method
Hu Meng, Weiwei Ming, Qinglong An, et al.
The International Journal of Advanced Manufacturing Technology (2019) Vol. 104, Iss. 9-12, pp. 4117-4128
Closed Access | Times Cited: 47
A dynamic feature selection-based data-driven quality prediction method for soft sensing in the diesel engine assembly system
Jinhua Hu, Yan‐Ning Sun, Wei Qin
Advanced Engineering Informatics (2024) Vol. 60, pp. 102433-102433
Closed Access | Times Cited: 5
Data-driven modeling and analysis based on complex network for multimode recognition of industrial processes
Yan‐Ning Sun, Zilong Zhuang, Hong‐Wei Xu, et al.
Journal of Manufacturing Systems (2021) Vol. 62, pp. 915-924
Closed Access | Times Cited: 28
Nonparametric-copula-entropy and network deconvolution method for causal discovery in complex manufacturing systems
Yan‐Ning Sun, Wei Qin, Zilong Zhuang
Journal of Intelligent Manufacturing (2021) Vol. 33, Iss. 6, pp. 1699-1713
Closed Access | Times Cited: 23
A hybrid multi-class imbalanced learning method for predicting the quality level of diesel engines
Wei Qin, Zilong Zhuang, Liangxun Guo, et al.
Journal of Manufacturing Systems (2021) Vol. 62, pp. 846-856
Closed Access | Times Cited: 20
Understanding unforeseen production downtimes in manufacturing processes using log data-driven causal reasoning
Christopher Hagedorn, Johannes Huegle, Rainer Schlößer
Journal of Intelligent Manufacturing (2022) Vol. 33, Iss. 7, pp. 2027-2043
Open Access | Times Cited: 14
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
Two-stage approach to causality analysis-based quality problem solving for discrete manufacturing systems
Haonan Wang, Yuming Xu, Tao Peng, et al.
Journal of Engineering Design (2023), pp. 1-25
Closed Access | Times Cited: 6
A Copula network deconvolution-based direct correlation disentangling framework for explainable fault detection in semiconductor wafer fabrication
Hong‐Wei Xu, Wei Qin, Jinhua Hu, et al.
Advanced Engineering Informatics (2023) Vol. 59, pp. 102272-102272
Closed Access | Times Cited: 6
An integrated CRN-SVR approach for the quality consistency improvement in a diesel engine assembly process
Yan‐Ning Sun, Qun-Long Chen, Jinhua Hu, et al.
International Journal of Computer Integrated Manufacturing (2023) Vol. 37, Iss. 9, pp. 1126-1141
Closed Access | Times Cited: 5
Assembly quality evaluation for linear axis of machine tool using data-driven modeling approach
Yang Hui, Xuesong Mei, Gedong Jiang, et al.
Journal of Intelligent Manufacturing (2020) Vol. 33, Iss. 3, pp. 753-769
Closed Access | Times Cited: 12
Quality consistency analysis for complex assembly process based on Bayesian networks
Yan‐Ning Sun, Wei Qin, Zilong Zhuang
Procedia Manufacturing (2020) Vol. 51, pp. 577-583
Open Access | Times Cited: 8
Exploring the time-lagged causality of process variables from injection molding machines
Shailesh Tripathi, Christian Mittermayr, Herbert Jodlbauer
Procedia Computer Science (2023) Vol. 217, pp. 1153-1167
Open Access | Times Cited: 2
DyS-IENN: a novel multiclass imbalanced learning method for early warning of tardiness in rocket final assembly process
Zilong Zhuang, Liangxun Guo, Zizhao Huang, et al.
Journal of Intelligent Manufacturing (2020) Vol. 32, Iss. 8, pp. 2197-2207
Closed Access | Times Cited: 3
Data-driven rated power prediction of diesel engines using improved multi-class imbalanced learning method
Liangxun Guo, Zilong Zhuang, Yan‐Ning Sun, et al.
Procedia Manufacturing (2020) Vol. 51, pp. 324-329
Open Access | Times Cited: 2
Identifying key interactions between process variables of different material categories using mutual information-based network inference method
Shailesh Tripathi, Herbert Jodlbauer, Christian Mittermayr, et al.
Procedia Computer Science (2022) Vol. 200, pp. 1550-1564
Open Access | Times Cited: 1
An Adaptive Threshold Strategy Based on Genetic Optimization for Nonlinear Dynamic Process Monitoring
Yan‐Ning Sun, Hong‐Wei Xu, Wei Qin
IFAC-PapersOnLine (2022) Vol. 55, Iss. 10, pp. 2150-2155
Open Access | Times Cited: 1
Assembly Line Rebalancing Under Task Time Disruptions
Yuchen Li
Engineering Applications of Computational Methods (2022), pp. 13-38
Closed Access
Special issue on data-driven modeling and analytics for optimization of complex manufacturing systems
Wei Qin, Yingfeng Zhang, Ting Qu, et al.
International Journal of Computer Integrated Manufacturing (2022) Vol. 35, Iss. 10-11, pp. 1025-1027
Closed Access
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