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:

A dual population collaborative genetic algorithm for solving flexible job shop scheduling problem with AGV
Xiaoqing Han, Weiyao Cheng, Leilei Meng, et al.
Swarm and Evolutionary Computation (2024) Vol. 86, pp. 101538-101538
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

A knowledge-driven memetic algorithm for distributed green flexible job shop scheduling considering the endurance of machines
Libao Deng, Yixuan Qiu, Yuanzhu Di, et al.
Applied Soft Computing (2025) Vol. 170, pp. 112697-112697
Closed Access

MILP modeling and optimization of flexible job shop scheduling problem with preventive maintenance
Lixin Zhao, Weiyao Cheng, Leilei Meng, et al.
Computers & Industrial Engineering (2025), pp. 110861-110861
Closed Access

A random flight–follow leader and reinforcement learning approach for flexible job shop scheduling problem
Changshun Shao, Zhenglin Yu, Hongchang Ding, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 3
Closed Access

Investigations into effect of waiting time in integrated machine scheduling and automated guided vehicles scheduling
K. C. Bhosale, P. J. Pawar
International Journal on Interactive Design and Manufacturing (IJIDeM) (2025)
Closed Access

Research on dynamic job shop scheduling problem with AGV based on DQN
Zhengfeng Li, Wanfa Gu, Huichao Shang, et al.
Cluster Computing (2025) Vol. 28, Iss. 4
Closed Access

Distributed heterogeneous flexible job-shop scheduling problem considering automated guided vehicle transportation via improved deep Q network
Minghai Yuan, S. Lu, Liang Zheng, et al.
Swarm and Evolutionary Computation (2025), pp. 101902-101902
Closed Access

A Review of Scheduling Methods for Multi-AGV Material Handling Systems in Mixed-Model Assembly Workshops
Tianyuan Mao
Frontiers in Sustainable Development (2025) Vol. 5, Iss. 3, pp. 227-237
Closed Access

An improved multi-objective evolutionary algorithm for the low-carbon flexible job shop scheduling with automated guided vehicles
Wenlong Li, Huan Li, Yuyan Han, et al.
Applied Soft Computing (2025), pp. 113048-113048
Closed Access

Deep reinforcement learning for solving efficient and energy-saving flexible job shop scheduling problem with multi-AGV
Weiyao Cheng, Chaoyong Zhang, Leilei Meng, et al.
Computers & Operations Research (2025), pp. 107087-107087
Closed Access

Clean Energy Self-Consistent Systems for Automated Guided Vehicle (AGV) Logistics Scheduling in Automated Ports
Jie Wang, Yongping Li, Zhiqiang Liu, et al.
Sustainability (2025) Vol. 17, Iss. 8, pp. 3411-3411
Open Access

Adaptive reference-points learning and cooperation driven multi-objective algorithm for hybrid group flow shop with outsourcing option
Xinrui Wang, Junqing Li, Jiake Li, et al.
CIRP journal of manufacturing science and technology (2025) Vol. 60, pp. 56-75
Closed Access

Energy-efficient and self-adaptive AGV scheduling approach based on hierarchical reinforcement learning for flexible shop floor
Xiao Chang, Xiaoliang Jia, Hao Hu
Computers & Industrial Engineering (2025), pp. 111140-111140
Closed Access

Hybrid Gaussian quantum particle swarm optimization and adaptive genetic algorithm for flexible job-shop scheduling problem
Yuanxing Xu, Mengjian Zhang, Deguang Wang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 154, pp. 110882-110882
Closed Access

Dynamic Integrated Scheduling of Production Equipment and Automated Guided Vehicles in a Flexible Job Shop Based on Deep Reinforcement Learning
Jingrui Wang, Yi Li, Zhongwei Zhang, et al.
Processes (2024) Vol. 12, Iss. 11, pp. 2423-2423
Open Access | Times Cited: 3

An Adaptive Search Algorithm for Multiplicity Dynamic Flexible Job Shop Scheduling with New Order Arrivals
Linshan Ding, Zailin Guan, Dan Luo, et al.
Symmetry (2024) Vol. 16, Iss. 6, pp. 641-641
Open Access | Times Cited: 2

An Effective Discrete Jaya Algorithm for Multi-AGVs Scheduling Problem With Dynamic Unloading Time
Yingying Cui, Baoxian Jia, Hongyan Sang, et al.
IEEE Access (2024) Vol. 12, pp. 101701-101716
Open Access | Times Cited: 2

AGV Scheduling for Optimizing Irregular Air Cargo Containers Handling at Airport Transshipment Centers
Jie Li, Mingkai Zou, Yaqiong Lv, et al.
Mathematics (2024) Vol. 12, Iss. 19, pp. 3045-3045
Open Access | Times Cited: 2

DQL-assisted competitive evolutionary algorithm for energy-aware robust flexible job shop scheduling under unexpected disruptions
Shicun Zhao, Hong Zhou, Yujie Zhao, et al.
Swarm and Evolutionary Computation (2024) Vol. 91, pp. 101750-101750
Closed Access | Times Cited: 1

Joint scheduling of hybrid flow-shop with limited automatic guided vehicles: A hierarchical learning-based swarm optimizer
Shengwei Xing, Zhongshi Shao, Weishi Shao, et al.
Computers & Industrial Engineering (2024) Vol. 198, pp. 110686-110686
Closed Access

A Hierarchical Planning Method for AUV Search Tasks Based on the Snake Optimization Algorithm
Zhiwen Wen, Wang Zhong, Wen Xiang-dong, et al.
Sensors (2024) Vol. 24, Iss. 22, pp. 7196-7196
Open Access

Multi-population coevolutionary algorithm for a green multi-objective flexible job shop scheduling problem with automated guided vehicles and variable processing speed constraints
Chao Liu, Yuyan Han, Yuting Wang, et al.
Swarm and Evolutionary Computation (2024) Vol. 91, pp. 101774-101774
Closed Access

Learning memetic algorithm based on variable population and neighborhood for multi-complex target scheduling of large-scale imaging satellites
Lei Li, Yonghao Du, Feng Yao, et al.
Swarm and Evolutionary Computation (2024), pp. 101789-101789
Closed Access

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