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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:

Solving task scheduling problems in cloud manufacturing via attention mechanism and deep reinforcement learning
Xiaohan Wang, Zhang Li, Yongkui Liu, et al.
Journal of Manufacturing Systems (2022) Vol. 65, pp. 452-468
Closed Access | Times Cited: 24

Showing 24 citing articles:

MetaSlicing: A Novel Resource Allocation Framework for Metaverse
Nam H. Chu, Dinh Thai Hoang, Diep N. Nguyen, et al.
IEEE Transactions on Mobile Computing (2023) Vol. 23, Iss. 5, pp. 4145-4162
Open Access | Times Cited: 35
An adaptive multi-objective multi-task scheduling method by hierarchical deep reinforcement learning
Jianxiong Zhang, Bing Guo, Xuefeng Ding, et al.
Applied Soft Computing (2024) Vol. 154, pp. 111342-111342
Closed Access | Times Cited: 10
Logistics-involved task scheduling in cloud manufacturing with offline deep reinforcement learning
Xiaohan Wang, Zhang Li, Yongkui Liu, et al.
Journal of Industrial Information Integration (2023) Vol. 34, pp. 100471-100471
Closed Access | Times Cited: 16
Spatio-temporal information analytics based performance-driven industrial process monitoring framework with cloud–edge-device collaboration
Chi Zhang, Jie Dong, Kaixiang Peng, et al.
Journal of Manufacturing Processes (2024) Vol. 110, pp. 224-237
Closed Access | Times Cited: 5
Dynamic scheduling for cloud manufacturing with uncertain events by hierarchical reinforcement learning and attention mechanism
Jianxiong Zhang, Yuming Jiang, Bing Guo, et al.
Knowledge-Based Systems (2025), pp. 113335-113335
Closed Access
Hybrid MTS/MTO production scheduling with cloud orders: a mathematical model based on an empirical study
Amirhossein Sharifisari, Erfan Shahab, Omid Fatahi Valilai
International Journal of Management Science and Engineering Management (2025), pp. 1-17
Closed Access
Deep reinforcement learning-based scheduling in distributed systems: a critical review
Zahra Jalali Khalil Abadi, N. Mansouri, Mohammad Masoud Javidi
Knowledge and Information Systems (2024) Vol. 66, Iss. 10, pp. 5709-5782
Closed Access | Times Cited: 3
An improved deep reinforcement learning-based scheduling approach for dynamic task scheduling in cloud manufacturing
Xiaohan Wang, Lin Zhang, Yongkui Liu, et al.
International Journal of Production Research (2023) Vol. 62, Iss. 11, pp. 4014-4030
Closed Access | Times Cited: 8
Adaptive Resource Allocation in Cloud Data Centers using Actor-Critical Deep Reinforcement Learning for Optimized Load Balancing
M. Arvindhan, Rajesh Kumar Dhanaraj
International Journal on Recent and Innovation Trends in Computing and Communication (2023) Vol. 11, Iss. 5s, pp. 310-318
Open Access | Times Cited: 7
Behavior-environment interaction aware manufacturing service collaboration optimization
Bo Liu, Yongping Zhang, Guojun Sheng, et al.
Journal of Manufacturing Systems (2024) Vol. 74, pp. 302-315
Closed Access | Times Cited: 2
Mixed-batch scheduling to minimize total tardiness using deep reinforcement learning
JinDian Huang
Applied Soft Computing (2024) Vol. 160, pp. 111699-111699
Closed Access | Times Cited: 2
Optimized Task Scheduling in Cloud Manufacturing with Multi-level Scheduling Model
Xiaoli Zhu
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 6
Open Access | Times Cited: 2
A transformer-based deep reinforcement learning approach for dynamic parallel machine scheduling problem with family setups
Funing Li, Sebastian Lang, Yuan Tian, et al.
Journal of Intelligent Manufacturing (2024)
Open Access | Times Cited: 2
Dynamic decision-making for knowledge-enabled distributed resource configuration in cloud manufacturing considering stochastic order arrival
Yi Zhang, Zequn Zhang, Yuqian Lu, et al.
Robotics and Computer-Integrated Manufacturing (2023) Vol. 87, pp. 102712-102712
Closed Access | Times Cited: 5
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
Transformer-Enhanced DQN Approach for Energy and Cost-Efficient Large-Scale Dynamic Workflow Scheduling in Heterogeneous Environment
Fan Ding, Yaqian Yuan, Lizhi Lv, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 22, pp. 37351-37367
Closed Access | Times Cited: 1
Deep Reinforcement Learning-Based Multi-Task Scheduling in Cloud Manufacturing Under Different Task Arrival Modes
Yaoyao Ping, Yongkui Liu, Zhang Li, et al.
Journal of Manufacturing Science and Engineering (2023) Vol. 145, Iss. 8
Closed Access | Times Cited: 2
Human-centric smart manufacturing
Baicun Wang, Tao Peng, Xi Vincent Wang, et al.
Journal of Manufacturing Systems (2023) Vol. 69, pp. 18-19
Closed Access | Times Cited: 2
Scheduling of Customized Tasks in Cloud Manufacturing with Deep Reinforcement Learning
Ming Lv, Yu Cao, Xingbo Qiu, et al.
Communications in computer and information science (2024), pp. 241-252
Closed Access
Online simulation task scheduling in cloud manufacturing with cross attention and deep reinforcement learning
Zhen Chen, Zhang Li, Yuanjun Laili, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access
Introducing an improved deep reinforcement learning algorithm for task scheduling in cloud computing
Behnam Salari-Hamzehkhani, Mehdi Akbari, Faramarz Safi-Esfahani
The Journal of Supercomputing (2024) Vol. 81, Iss. 1
Closed Access
Platform-based task assignment for social manufacturing (PBTA4SM): State-of-the-art review and future directions
Yuguang Bao, Xinguo Ming, Xianyu Zhang, et al.
Journal of Manufacturing Systems (2024) Vol. 78, pp. 328-350
Open Access
An Intelligent MAV-UAV Cooperative Combat Planning Method Based on Deep Reinforcement Learning
Tingchun Hu, Peng Li, Honghao Yuan, et al.
(2022), pp. 57-63
Closed Access | Times Cited: 1
Research on the Teaching Reform of Physical Education Combined with Civic and Political Education in the New Era under the Background of Big Data
Zeyong CHEN
Applied Mathematics and Nonlinear Sciences (2023) Vol. 9, Iss. 1
Open Access
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