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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 end-to-end deep reinforcement learning method based on graph neural network for distributed job-shop scheduling problem
Jiang‐Ping Huang, Liang Gao, Xinyu Li
Expert Systems with Applications (2023) Vol. 238, pp. 121756-121756
Closed Access | Times Cited: 21

Showing 21 citing articles:

HGNP: A PCA-based heterogeneous graph neural network for a family distributed flexible job shop
Jiake Li, Junqing Li, Ying Xu
Computers & Industrial Engineering (2025), pp. 110855-110855
Closed Access | Times Cited: 2
Multi-Agent Reinforcement Learning for Job Shop Scheduling in Dynamic Environments
Y. J. Pu, Fang Li, Shahin Rahimifard
Sustainability (2024) Vol. 16, Iss. 8, pp. 3234-3234
Open Access | Times Cited: 5
Graph neural networks for job shop scheduling problems: A survey
Igor G. Smit, Jianan Zhou, Robbert Reijnen, et al.
Computers & Operations Research (2024), pp. 106914-106914
Open Access | Times Cited: 5
Study on the Multi-Equipment Integrated Scheduling Problem of a U-Shaped Automated Container Terminal Based on Graph Neural Network and Deep Reinforcement Learning
Qinglei Zhang, Yi Zhu, Jiyun Qin, et al.
Journal of Marine Science and Engineering (2025) Vol. 13, Iss. 2, pp. 197-197
Open Access
Fifty years of research in scheduling – theory and applications
Alessandro Agnetis, Jean-Charles Billaut, Michael Pinedo, et al.
European Journal of Operational Research (2025)
Closed Access
Deep reinforcement learning-based memetic algorithm for solving dynamic distributed green flexible job shop scheduling problem with finite transportation resources
Xinxin Zhou, Feimeng Wang, Bin Wu, et al.
Swarm and Evolutionary Computation (2025) Vol. 94, pp. 101885-101885
Closed Access
TDCR: Transformer based decision conflict resolution model for collaborative scheduling
Xian‐Zhang Hu, Jian An, Xiaolin Gui, et al.
Neurocomputing (2025), pp. 129760-129760
Closed Access
Dynamic Job-Shop Scheduling via Graph Attention Networks and Deep Reinforcement Learning
Chien‐Liang Liu, Chun-Jan Tseng, P.S. Weng
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 6, pp. 8662-8672
Closed Access | Times Cited: 3
Learning to schedule dynamic distributed reconfigurable workshops using expected deep Q-network
Shengluo Yang, Junyi Wang, Zhigang Xu
Advanced Engineering Informatics (2023) Vol. 59, pp. 102307-102307
Closed Access | Times Cited: 8
Learning to Dispatch for Flexible Job Shop Scheduling Based on Deep Reinforcement Learning via Graph Gated Channel Transformation
Dainlin Huang, Hong Zhao, Lijun Zhang, et al.
IEEE Access (2024) Vol. 12, pp. 50935-50948
Open Access | Times Cited: 2
Low-Carbon Flexible Job Shop Scheduling Problem Based on Deep Reinforcement Learning
Yimin Tang, Lihong Shen, Shuguang Han
Sustainability (2024) Vol. 16, Iss. 11, pp. 4544-4544
Open Access | Times Cited: 2
Deep reinforcement learning for solving car resequencing with selectivity banks in automotive assembly shops
Yuzhe Huang, Gaocai Fu, Buyun Sheng, et al.
International Journal of Production Research (2024), pp. 1-22
Closed Access | Times Cited: 2
Deep reinforcement learning driven trajectory-based meta-heuristic for distributed heterogeneous flexible job shop scheduling problem
Qichen Zhang, Weishi Shao, Zhongshi Shao, et al.
Swarm and Evolutionary Computation (2024) Vol. 91, pp. 101753-101753
Closed Access | Times Cited: 2
Proximal Policy Optimization with Population-based Variable Neighborhood Search Algorithm for Coordinating Photo-Etching and Acid-Etching Processes in Sustainable Storage Chip Manufacturing
Weijian Zhang, Min Kong, Yajing Zhang, et al.
Journal of Industrial Information Integration (2024) Vol. 42, pp. 100727-100727
Closed Access | Times Cited: 1
Deep reinforcement learning-based dynamic scheduling for resilient and sustainable manufacturing: A systematic review
Chao Zhang, Max Juraschek, Christoph Herrmann
Journal of Manufacturing Systems (2024) Vol. 77, pp. 962-989
Open Access | Times Cited: 1
Solving Flexible Job-Shop Scheduling Problem with Heterogeneous Graph Neural Network Based on Relation and Deep Reinforcement Learning
Hengliang Tang, Jinda Dong
Machines (2024) Vol. 12, Iss. 8, pp. 584-584
Open Access | Times Cited: 1
A guided twin delayed deep deterministic reinforcement learning for vaccine allocation in human contact networks
Ehsan Ardjmand, Alireza Fallahtafti, Ehsan Yazdani, et al.
Applied Soft Computing (2024) Vol. 167, pp. 112322-112322
Open Access
A survey on vehicle–drone cooperative delivery operations optimization: Models, methods, and future research directions
Jing Zhou, Jin Yi, Zhenyu Yang, et al.
Swarm and Evolutionary Computation (2024) Vol. 92, pp. 101780-101780
Closed Access
A deep reinforcement learning method based on a multiexpert graph neural network for flexible job shop scheduling
Dailin Huang, Hong Zhao, W. H. Tian, et al.
Computers & Industrial Engineering (2024), pp. 110768-110768
Closed Access
Deep Reinforcement Learning with Graph Neural Networks for Quay Wall Allocation: Addressing Flexible Job Shop Scheduling Problem
Youngin Cho, Seung-Heon Oh, Jaeho Choi, et al.
(2024)
Closed Access
Advancing Genetic Programming for Learning Scheduling Heuristics
Meng Xu
(2024)
Open Access
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