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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:

Production quality prediction of multistage manufacturing systems using multi-task joint deep learning
Pei Wang, Hai Qu, Qianle Zhang, et al.
Journal of Manufacturing Systems (2023) Vol. 70, pp. 48-68
Closed Access | Times Cited: 23

Showing 23 citing articles:

Digital twin enhanced quality prediction method of powder compaction process
Ying Zuo, Hujie You, Xiaofu Zou, et al.
Robotics and Computer-Integrated Manufacturing (2024) Vol. 89, pp. 102762-102762
Closed Access | Times Cited: 5
Machining quality prediction of complex thin-walled parts using multi-task dual domain adaptive deep transfer learning
Pei Wang, Haizhen Tao, Jingshuai Qi, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102640-102640
Closed Access | Times Cited: 5
Large scale foundation models for intelligent manufacturing applications: a survey
Haotian Zhang, Stuart Dereck Semujju, Zhicheng Wang, et al.
Journal of Intelligent Manufacturing (2025)
Open Access
Multitask Deep Learning Model Reveals Oils and Phenols Co-Adsorption Effect in Coal Chemical Wastewater: Breaking the Bottleneck of Selective Adsorption Separation
Zhuangzhuang Yang, Yongjun Liu, Zhe Liu, et al.
(2025)
Closed Access
A review of artificial intelligence application for machining surface quality prediction: from key factors to model development
Jeong Hoon Ko, Chen Yin
Journal of Intelligent Manufacturing (2025)
Open Access
Time series prediction for production quality in a machining system using spatial-temporal multi-task graph learning
Pei Wang, Qianle Zhang, Hai Qu, et al.
Journal of Manufacturing Systems (2024) Vol. 74, pp. 157-179
Closed Access | Times Cited: 4
Residual networks using multi-task learning algorithm for near-infrared spectroscopy: A case study
Tianhong Pan, Zhengtao Xi, Jiaqiang Tian, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2025) Vol. 333, pp. 125866-125866
Closed Access
Feature structured domain adaptation for quality prediction of cross working conditions in industrial processes
He Ding, Kuangrong Hao, Lei Chen, et al.
Journal of Manufacturing Systems (2024) Vol. 74, pp. 887-900
Closed Access | Times Cited: 2
Machining quality prediction of multi-feature parts using integrated multi-source domain dynamic adaptive transfer learning
Pei Wang, Jingshuai Qi, Xun Xu, et al.
Robotics and Computer-Integrated Manufacturing (2024) Vol. 90, pp. 102815-102815
Open Access | Times Cited: 2
Multiscale cost-sensitive learning-based assembly quality prediction approach under imbalanced data
Tianyue Wang, Bingtao Hu, Yixiong Feng, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102860-102860
Closed Access | Times Cited: 2
Machining parameter optimization for a batch milling system using multi-task deep reinforcement learning
Pei Wang, Yixin Cui, Haizhen Tao, et al.
Journal of Manufacturing Systems (2024) Vol. 78, pp. 124-152
Open Access | Times Cited: 1
Meta learning based residual network for industrial production quality prediction with limited data
Yiguan Shi, Yazhao Cao, Yong Chen, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Deep Koopman-Based Control of Quality Variation in Multistage Manufacturing Systems
Zhiyi Chen, Harshal Maske, Devesh Upadhyay, et al.
2022 American Control Conference (ACC) (2024) Vol. 35, pp. 893-898
Closed Access
Multivariate quality prediction of thin-walled parts machining using multi-task parallel deep transfer learning
Pei Wang, Pengde Huang, Haizhen Tao, et al.
International Journal of Production Research (2024), pp. 1-32
Closed Access
AI Power for Digital Manufacturing
Fei Tao, Y. Li, Yupeng Wei
Digital engineering. (2024) Vol. 2, pp. 100016-100016
Closed Access
A systematic quality-integrated diagnostic method for complex product assembly using multi-task spatial–temporal transfer learning
Xun Cheng, Feihong Huang, Linqiong Qiu
The International Journal of Advanced Manufacturing Technology (2024) Vol. 135, Iss. 3-4, pp. 1355-1375
Open 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
Production Quality Evaluation of Electronic Control Modules Based on Deep Belief Network
Hua Gong, Wenxia Xu, Congang Chen, et al.
Mathematics (2024) Vol. 12, Iss. 23, pp. 3799-3799
Open Access
A human-inspired slow-fast dual-branch method for product quality prediction of complex manufacturing processes with hierarchical variations
Tianyu Wang, Zongyang Hu, Yijie Wang, et al.
Advanced Engineering Informatics (2024) Vol. 64, pp. 102967-102967
Closed Access
Functional risk modeling and selective maintenance optimization approach for multi-stage manufacturing system considering operational robustness
Tianyu Feng, Yihai He, Rui Shi, et al.
Reliability Engineering & System Safety (2024), pp. 110775-110775
Closed Access
Complex product quality prediction method based on an improved light gradient boosting machine
Haiyang Zheng, Xinqin Gao, Mingshun Yang, et al.
Applied Intelligence (2024) Vol. 55, Iss. 3
Closed Access
Quality control prediction of electrolytic copper using novel hybrid nonlinear analysis algorithm
Yuzhen Su, Weichuan Ye, Kai Yang, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 1
Stochastic deep Koopman model for quality propagation analysis in multistage manufacturing systems
Zhiyi Chen, Harshal Maske, Huanyi Shui, et al.
Journal of Manufacturing Systems (2023) Vol. 71, pp. 609-619
Open Access | Times Cited: 1
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