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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:

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: 148

Showing 1-25 of 148 citing articles:

A state-of-the-art survey on Augmented Reality-assisted Digital Twin for futuristic human-centric industry transformation
Yue Yin, Pai Zheng, Chengxi Li, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 81, pp. 102515-102515
Closed Access | Times Cited: 155
Reinforcement learning algorithms: A brief survey
Ashish Kumar Shakya, G. N. Pillai, Sohom Chakrabarty
Expert Systems with Applications (2023) Vol. 231, pp. 120495-120495
Closed Access | Times Cited: 147
Revolutionizing manufacturing: A comprehensive overview of additive manufacturing processes, materials, developments, and challenges
Kumar Kanishka, Bappa Acherjee
Journal of Manufacturing Processes (2023) Vol. 107, pp. 574-619
Closed Access | Times Cited: 95
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
Incidences of artificial intelligence in contemporary education
José Ramón Sanabria Navarro, Yahilina Silveira Pérez, Digna Dionisia Pérez Bravo, et al.
Comunicar (2023) Vol. 31, Iss. 77
Open Access | Times Cited: 51
Machine learning-assisted self-powered intelligent sensing systems based on triboelectricity
Zhiyu Tian, Jun Li, Liqiang Liu, et al.
Nano Energy (2023) Vol. 113, pp. 108559-108559
Closed Access | Times Cited: 46
Synergistic industrial agglomeration, new quality productive forces and high-quality development of the manufacturing industry
Yi Liu, HE Zheng-chu
International Review of Economics & Finance (2024) Vol. 94, pp. 103373-103373
Closed Access | Times Cited: 41
Deep reinforcement learning for multi-objective optimization in BIM-based green building design
Yue Pan, Yuxuan Shen, Jianjun Qin, et al.
Automation in Construction (2024) Vol. 166, pp. 105598-105598
Closed Access | Times Cited: 17
Optimal data-driven control of manufacturing processes using reinforcement learning: an application to wire arc additive manufacturing
Giulio Mattera, Alessandra Caggiano, Luigi Nele
Journal of Intelligent Manufacturing (2024) Vol. 36, Iss. 2, pp. 1291-1310
Open Access | Times Cited: 15
Multi-policy deep reinforcement learning for multi-objective multiplicity flexible job shop scheduling
Linshan Ding, Zailin Guan, Mudassar Rauf, et al.
Swarm and Evolutionary Computation (2024) Vol. 87, pp. 101550-101550
Closed Access | Times Cited: 15
Artificial Intelligence in manufacturing: State of the art, perspectives, and future directions
Robert X. Gao, Jörg Krüger, Marion Merklein, et al.
CIRP Annals (2024) Vol. 73, Iss. 2, pp. 723-749
Open Access | Times Cited: 14
Internet of Robotic Things: Current Technologies, Challenges, Applications, and Future Research Topics
Jakub Krejčí, Marek Babiuch, Jiří Suder, et al.
Sensors (2025) Vol. 25, Iss. 3, pp. 765-765
Open Access | Times Cited: 1
Machine learning-driven 3D printing: A review
Xijun Zhang, Dianming Chu, Xinyue Zhao, et al.
Applied Materials Today (2024) Vol. 39, pp. 102306-102306
Closed Access | Times Cited: 13
Advances, Synergy, and Perspectives of Machine Learning and Biobased Polymers for Energy, Fuels, and Biochemicals for a Sustainable Future
Abu Danish Aiman Bin Abu Sofian, Xun Sun, Vijai Kumar Gupta, et al.
Energy & Fuels (2024) Vol. 38, Iss. 3, pp. 1593-1617
Open Access | Times Cited: 12
Human–machine interaction towards Industry 5.0: Human-centric smart manufacturing
Jialu Yang, Ying Liu, Phillip L. Morgan
Digital engineering. (2024) Vol. 2, pp. 100013-100013
Open Access | Times Cited: 12
Enhancing Multi-UAV Reconnaissance and Search Through Double Critic DDPG With Belief Probability Maps
Boquan Zhang, Xiang Lin, Yifan Zhu, et al.
IEEE Transactions on Intelligent Vehicles (2024) Vol. 9, Iss. 2, pp. 3827-3842
Closed Access | Times Cited: 11
Energy Efficiency in Additive Manufacturing: Condensed Review
Ismail Fidan, Vivekanand Naikwadi, Suhas Alkunte, et al.
Technologies (2024) Vol. 12, Iss. 2, pp. 21-21
Open Access | Times Cited: 11
Unleashing mixed-reality capability in Deep Reinforcement Learning-based robot motion generation towards safe human–robot collaboration
Chengxi Li, Pai Zheng, Peng Zhou, et al.
Journal of Manufacturing Systems (2024) Vol. 74, pp. 411-421
Closed Access | Times Cited: 9
A comprehensive review of model compression techniques in machine learning
Pierre V. Dantas, Waldir Sabino da Silva, Lucas C. Cordeiro, et al.
Applied Intelligence (2024) Vol. 54, Iss. 22, pp. 11804-11844
Open Access | Times Cited: 9
Securing the Digital Supply Chain Cyber Threats and Vulnerabilities
Siva Raja Sindiramutty, N. Z. Jhanjhi, Chong Eng Tan, et al.
Advances in logistics, operations, and management science book series (2023), pp. 156-223
Closed Access | Times Cited: 20
A Clustering-Based Multi-Agent Reinforcement Learning Framework for Finer-Grained Taxi Dispatching
Taha M. Rajeh, Zhipeng Luo, Muhammad Hafeez Javed, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 9, pp. 11269-11281
Closed Access | Times Cited: 6
Knowledge graph with deep reinforcement learning for intelligent generation of machining process design
Yiwei Hua, Ru Wang, Zuoxu Wang, et al.
Journal of Engineering Design (2024), pp. 1-35
Closed Access | Times Cited: 6
An autonomous recognition framework based on reinforced adversarial open set algorithm for compound fault of mechanical equipment
Zisheng Wang, Jianping Xuan, Tielin Shi
Mechanical Systems and Signal Processing (2024) Vol. 219, pp. 111596-111596
Closed Access | Times Cited: 6
Design patterns of deep reinforcement learning models for job shop scheduling problems
Shiyong Wang, Jiaxian Li, Qingsong Jiao, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 6
A vision-language-guided and deep reinforcement learning-enabled approach for unstructured human-robot collaborative manufacturing task fulfilment
Pai Zheng, Chengxi Li, Junming Fan, et al.
CIRP Annals (2024) Vol. 73, Iss. 1, pp. 341-344
Open Access | Times Cited: 5
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