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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 improved particle swarm optimization algorithm for dynamic job shop scheduling problems with random job arrivals
Zhen Wang, Jihui Zhang, Shengxiang Yang
Swarm and Evolutionary Computation (2019) Vol. 51, pp. 100594-100594
Open Access | Times Cited: 111

Showing 26-50 of 111 citing articles:

Deep reinforcement learning for dynamic distributed job shop scheduling problem with transfers
Yong Lei, Qianwang Deng, Mengqi Liao, et al.
Expert Systems with Applications (2024) Vol. 251, pp. 123970-123970
Closed Access | Times Cited: 5
Deep learning-enhanced quantum optimization for integrated job scheduling in container terminals
Truong Ngoc Cuong, Hwan–Seong Kim, Le Ngoc Bao Long, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110431-110431
Closed Access
Demand-driven hierarchical integrated planning-scheduling control for a mobile robot-operated flexible smart manufacturing system
Chen Li, Kshitij Bhatta, Muhammad Waseem, et al.
Robotics and Computer-Integrated Manufacturing (2025) Vol. 95, pp. 103015-103015
Closed Access
Solving multi-objective energy-efficient flexible job shop problems by a dual-level NSGA-II algorithm
Junqing Li, Weimeng Zhang, Jiake Li
Memetic Computing (2025) Vol. 17, Iss. 2
Closed Access
A two-stage memetic algorithm for energy-efficient flexible job shop scheduling by means of decreasing the total number of machine restarts
Guiliang Gong, Raymond Chiong, Qianwang Deng, et al.
Swarm and Evolutionary Computation (2022) Vol. 75, pp. 101131-101131
Closed Access | Times Cited: 26
An effective memetic algorithm for distributed flexible job shop scheduling problem considering integrated sequencing flexibility
Jiuqiang Tang, Guiliang Gong, Ningtao Peng, et al.
Expert Systems with Applications (2023) Vol. 242, pp. 122734-122734
Closed Access | Times Cited: 15
Enhancing stability and robustness in online machine shop scheduling: A multi-agent system and negotiation-based approach for handling machine downtime in industry 4.0
Jeroen B.H.C. Didden, Quang-Vinh Dang, I.J.B.F. Adan
European Journal of Operational Research (2024) Vol. 316, Iss. 2, pp. 569-583
Open Access | Times Cited: 4
Multi-objective dynamic distributed flexible job shop scheduling problem considering uncertain processing time
Ningtao Peng, Yu Zheng, Z. J. Xiao, et al.
Cluster Computing (2025) Vol. 28, Iss. 3
Closed Access
Metaheuristics for multi-objective scheduling problems in industry 4.0 and 5.0: a state-of-the-arts survey
Wenqiang Zhang, Xuan Bao, Xinchang Hao, et al.
Frontiers in Industrial Engineering (2025) Vol. 3
Open Access
Research on dynamic job shop scheduling problem with AGV based on DQN
Zhengfeng Li, Wengpeng Gu, Huichao Shang, et al.
Cluster Computing (2025) Vol. 28, Iss. 4
Closed Access
Harnessing heterogeneous graph neural networks for Dynamic Job-Shop Scheduling Problem solutions
Chien‐Liang Liu, P.S. Weng, Chun-Jan Tseng
Computers & Industrial Engineering (2025), pp. 111060-111060
Closed Access
A Survey of AI-enabled Dynamic Manufacturing Scheduling: From Directed Heuristics to Autonomous Learning
Jiepin Ding, Mingsong Chen, Ting Wang, et al.
ACM Computing Surveys (2023) Vol. 55, Iss. 14s, pp. 1-36
Closed Access | Times Cited: 12
Digital-twin-based job shop multi-objective scheduling model and strategy
Y. Zhou, Liyun Xu, Xufeng Ling, et al.
International Journal of Computer Integrated Manufacturing (2023) Vol. 37, Iss. 1-2, pp. 87-107
Closed Access | Times Cited: 12
Novel model and solution method for flexible job shop scheduling problem with batch processing machines
Bin Ji, Shujing Zhang, Samson S. Yu, et al.
Computers & Operations Research (2023) Vol. 161, pp. 106442-106442
Closed Access | Times Cited: 11
A new many-objective green dynamic scheduling disruption management approach for machining workshop based on green manufacturing
Yanwei Sang, Jianping Tan, Liu Wen
Journal of Cleaner Production (2021) Vol. 297, pp. 126489-126489
Closed Access | Times Cited: 24
Swarm intelligent based metaheuristics for a bi-objective flexible job shop integrated supply chain scheduling problems
Shahed Mahmud, Ripon K. Chakrabortty, Alireza Abbasi, et al.
Applied Soft Computing (2022) Vol. 121, pp. 108794-108794
Closed Access | Times Cited: 17
A job assignment scheduling algorithm with variable sublots for lot-streaming flexible job shop problem based on NSGAII
Shuai Shao, Gaochao Xu, Jiaxing Li, et al.
Computers & Operations Research (2024) Vol. 173, pp. 106866-106866
Closed Access | Times Cited: 3
A novel digital twin-assisted prediction approach for optimum rescheduling in high-efficient flexible production workshops
Yanfang Yang, Miao Yang, Nabil Anwer, et al.
Computers & Industrial Engineering (2023) Vol. 182, pp. 109398-109398
Closed Access | Times Cited: 8
Multi-objective production scheduling optimization and management control system of complex aerospace components: a review
Huijuan Ma, Xiang Huang, Zhili Hu, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 127, Iss. 11-12, pp. 4973-4993
Closed Access | Times Cited: 8
Improved Genetic Algorithm Approach Based on New Virtual Crossover Operators for Dynamic Job Shop Scheduling
Kaouther Ben Ali, Achraf Jabeur Telmoudi, Said Gattoufi
IEEE Access (2020) Vol. 8, pp. 213318-213329
Open Access | Times Cited: 23
Solving a new robust reverse job shop scheduling problem by meta-heuristic algorithms
Kazem Dehghan‐Sanej, Maryam Eghbali‐Zarch, Reza Tavakkoli‐Moghaddam, et al.
Engineering Applications of Artificial Intelligence (2021) Vol. 101, pp. 104207-104207
Closed Access | Times Cited: 19
Surrogate-assisted population based ACO for resource constrained job scheduling with uncertainty
Dhananjay Thiruvady, Su Nguyen, Fatemeh Shiri, et al.
Swarm and Evolutionary Computation (2022) Vol. 69, pp. 101029-101029
Closed Access | Times Cited: 13
Dynamic Job and Conveyor-Based TransportJoint Scheduling in Flexible Manufacturing Systems
Sebastiano Gaiardelli, Damiano Carra, Stefano Spellini, et al.
Applied Sciences (2024) Vol. 14, Iss. 7, pp. 3026-3026
Open Access | Times Cited: 2
Design and calibration of a DRL algorithm for solving the job shop scheduling problem under unexpected job arrivals
Nour El Houda Hammami, Benoit Lardeux, Atidel B. Hadj-Alouane, et al.
Flexible Services and Manufacturing Journal (2024)
Closed Access | Times Cited: 2
Multi-Objective Production Rescheduling: A Systematic Literature Review
Sofia Holguin Jimenez, Wajdi Trabelsi, Christophe Sauvey
Mathematics (2024) Vol. 12, Iss. 20, pp. 3176-3176
Open Access | Times Cited: 2

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