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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:

Towards Self-X cognitive manufacturing network: An industrial knowledge graph-based multi-agent reinforcement learning approach
Pai Zheng, Liqiao Xia, Chengxi Li, et al.
Journal of Manufacturing Systems (2021) Vol. 61, pp. 16-26
Open Access | Times Cited: 139

Showing 1-25 of 139 citing articles:

Industry 5.0: Prospect and retrospect
Jiewu Leng, Weinan Sha, Baicun Wang, et al.
Journal of Manufacturing Systems (2022) Vol. 65, pp. 279-295
Closed Access | Times Cited: 644
Toward human-centric smart manufacturing: A human-cyber-physical systems (HCPS) perspective
Baicun Wang, Pai Zheng, Yue Yin, et al.
Journal of Manufacturing Systems (2022) Vol. 63, pp. 471-490
Closed Access | Times Cited: 211
Deep reinforcement learning in smart manufacturing: A review and prospects
Chengxi Li, Pai Zheng, Yue Yin, et al.
CIRP journal of manufacturing science and technology (2022) Vol. 40, pp. 75-101
Closed Access | Times Cited: 151
Toward cognitive predictive maintenance: A survey of graph-based approaches
Liqiao Xia, Pai Zheng, Xinyu Li, et al.
Journal of Manufacturing Systems (2022) Vol. 64, pp. 107-120
Closed Access | Times Cited: 100
Towards resilience in Industry 5.0: A decentralized autonomous manufacturing paradigm
Jiewu Leng, Yuanwei Zhong, Zisheng Lin, et al.
Journal of Manufacturing Systems (2023) Vol. 71, pp. 95-114
Closed Access | Times Cited: 98
Artificial intelligence-based decision-making algorithms, Internet of Things sensing networks, and sustainable cyber-physical management systems in big data-driven cognitive manufacturing
George Lăzăroiu, Armenia Androniceanu, Iulia Grecu, et al.
Oeconomia Copernicana (2022) Vol. 13, Iss. 4, pp. 1047-1080
Open Access | Times Cited: 88
A framework for manufacturing system reconfiguration and optimisation utilising digital twins and modular artificial intelligence
Fan Mo, Hamood Ur Rehman, Fabio Marco Monetti, et al.
Robotics and Computer-Integrated Manufacturing (2023) Vol. 82, pp. 102524-102524
Open Access | Times Cited: 87
A review of digital twin-driven machining: From digitization to intellectualization
Shimin Liu, Jinsong Bao, Pai Zheng
Journal of Manufacturing Systems (2023) Vol. 67, pp. 361-378
Closed Access | Times Cited: 75
Maintenance planning recommendation of complex industrial equipment based on knowledge graph and graph neural network
Liqiao Xia, Yongshi Liang, Jiewu Leng, et al.
Reliability Engineering & System Safety (2022) Vol. 232, pp. 109068-109068
Closed Access | Times Cited: 74
A knowledge graph-based data representation approach for IIoT-enabled cognitive manufacturing
Mingfei Liu, Xinyu Li, Jie Li, et al.
Advanced Engineering Informatics (2022) Vol. 51, pp. 101515-101515
Closed Access | Times Cited: 69
Reinforcement Learning for Disassembly System Optimization Problems: A Survey
Xiwang Guo, Zhiliang Bi, Jiacun Wang, et al.
International Journal of Network Dynamics and Intelligence (2023)
Open Access | Times Cited: 55
CausalKGPT: Industrial structure causal knowledge-enhanced large language model for cause analysis of quality problems in aerospace product manufacturing
Bin Zhou, Xinyu Li, Tianyuan Liu, et al.
Advanced Engineering Informatics (2024) Vol. 59, pp. 102333-102333
Closed Access | Times Cited: 31
Leveraging error-assisted fine-tuning large language models for manufacturing excellence
Liqiao Xia, Chengxi Li, Canbin Zhang, et al.
Robotics and Computer-Integrated Manufacturing (2024) Vol. 88, pp. 102728-102728
Closed Access | Times Cited: 26
Manufacturing resource-based self-organizing scheduling using multi-agent system and deep reinforcement learning
Yuxin Li, Qihao Liu, Xinyu Li, et al.
Journal of Manufacturing Systems (2025) Vol. 79, pp. 179-198
Closed Access | Times Cited: 2
An AR-assisted Deep Reinforcement Learning-based approach towards mutual-cognitive safe human-robot interaction
Chengxi Li, Pai Zheng, Yue Yin, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 80, pp. 102471-102471
Closed Access | Times Cited: 63
Semantic-aware event link reasoning over industrial knowledge graph embedding time series data
Bin Zhou, Xingwang Shen, Yuqian Lu, et al.
International Journal of Production Research (2022) Vol. 61, Iss. 12, pp. 4117-4134
Closed Access | Times Cited: 61
Cloud-edge orchestration-based bi-level autonomous process control for mass individualization of rapid printed circuit boards prototyping services
Jiewu Leng, Ziying Chen, Weinan Sha, et al.
Journal of Manufacturing Systems (2022) Vol. 63, pp. 143-161
Closed Access | Times Cited: 55
Digital twin-enabled dynamic spatial-temporal knowledge graph for production logistics resource allocation
Zhiheng Zhao, Mengdi Zhang, Jian Chen, et al.
Computers & Industrial Engineering (2022) Vol. 171, pp. 108454-108454
Closed Access | Times Cited: 53
Multi-agent reinforcement learning based on graph convolutional network for flexible job shop scheduling
Xuan Jing, Xifan Yao, Min Liu, et al.
Journal of Intelligent Manufacturing (2022) Vol. 35, Iss. 1, pp. 75-93
Closed Access | Times Cited: 46
Industrial internet of things-driven storage location assignment and order picking in a resource synchronization and sharing-based robotic mobile fulfillment system
K. L. Keung, C.K.M. Lee, Ping Ji
Advanced Engineering Informatics (2022) Vol. 52, pp. 101540-101540
Closed Access | Times Cited: 44
A survey on machine learning based analysis of heterogeneous data in industrial automation
Simon Kamm, Sushma Sri Veekati, Timo Müller, et al.
Computers in Industry (2023) Vol. 149, pp. 103930-103930
Open Access | Times Cited: 39
Dynamic knowledge modeling and fusion method for custom apparel production process based on knowledge graph
Xingwang Shen, Xinyu Li, Bin Zhou, et al.
Advanced Engineering Informatics (2023) Vol. 55, pp. 101880-101880
Closed Access | Times Cited: 33
Reinforcement learning-based distant supervision relation extraction for fault diagnosis knowledge graph construction under industry 4.0
Chong Chen, Tao Wang, Yu Zheng, et al.
Advanced Engineering Informatics (2023) Vol. 55, pp. 101900-101900
Open Access | Times Cited: 30
Deep Learning and Reinforcement Learning

Artificial intelligence (2023)
Open Access | Times Cited: 27
Towards Cognitive Intelligence-enabled Product Design: The Evolution, State-of-the-art, and Future of AI-enabled Product Design
Zuoxu Wang, Xinxin Liang, Mingrui Li, et al.
Journal of Industrial Information Integration (2024), pp. 100759-100759
Closed Access | Times Cited: 12
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