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 Genetic Algorithm for Solving the Multi-AGV Flexible Job Shop Scheduling Problem
Leilei Meng, Weiyao Cheng, Biao Zhang, et al.
Sensors (2023) Vol. 23, Iss. 8, pp. 3815-3815
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

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: 25

Deep reinforcement learning-based memetic algorithm for energy-aware flexible job shop scheduling with multi-AGV
Fayong Zhang, Rui Li, Wenyin Gong
Computers & Industrial Engineering (2024) Vol. 189, pp. 109917-109917
Closed Access | Times Cited: 23

Evolutionary algorithm incorporating reinforcement learning for energy-conscious flexible job-shop scheduling problem with transportation and setup times
Guohui Zhang, Shaofeng Yan, Xiaohui Song, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 107974-107974
Closed Access | Times Cited: 18

Knowledge-based multi-objective evolutionary algorithm for energy-efficient flexible job shop scheduling with mobile robot transportation
Youjie Yao, Qingzheng Wang, Cuiyu Wang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102647-102647
Closed Access | Times Cited: 7

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

Digital twin-based shop-floor reconfiguration design for uncertainty management
Chenyuan Zhang, Fei Tao, Qinglin Qi, et al.
International Journal of Production Research (2025), pp. 1-25
Closed Access

An Asynchronous Genetic Algorithm for Multi-agent Path Planning Inspired by Biomimicry
Bin Liu, Shikai Jin, Yuzhu Li, et al.
Journal of Bionic Engineering (2025)
Closed 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

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 novel deep self-learning method for flexible job-shop scheduling problems with multiplicity: Deep reinforcement learning assisted the fluid master-apprentice evolutionary algorithm
Linshan Ding, Dan Luo, Mudassar Rauf, et al.
Swarm and Evolutionary Computation (2025) Vol. 94, pp. 101907-101907
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

Research on flexible job shop scheduling problem with AGV using double DQN
Minghai Yuan, Liang Zheng, Hanyu Huang, et al.
Journal of Intelligent Manufacturing (2023)
Closed Access | Times Cited: 11

A hybrid simheuristic algorithm for solving bi-objective stochastic flexible job shop scheduling problems
Saman Nessari, Reza Tavakkoli‐Moghaddam, Hessam Bakhshi-Khaniki, et al.
Decision Analytics Journal (2024) Vol. 11, pp. 100485-100485
Open Access | Times Cited: 4

Learning-enabled flexible job-shop scheduling for scalable smart manufacturing
Sihoon Moon, Sanghoon Lee, Kyung‐Joon Park
Journal of Manufacturing Systems (2024) Vol. 77, pp. 356-367
Closed Access | Times Cited: 3

Simultaneous Scheduling of Processing Machines and Automated Guided Vehicles via a Multi-View Modeling-Based Hybrid Algorithm
Bin Xin, Sai Lu, Qing Wang, et al.
IEEE Transactions on Automation Science and Engineering (2023) Vol. 21, Iss. 3, pp. 4753-4767
Closed Access | Times Cited: 8

Machine learning-driven task scheduling with dynamic K-means based clustering algorithm using fuzzy logic in FOG environment
Muhammad Saad Sheikh, Rabia Noor Enam, Rehan Qureshi
Frontiers in Computer Science (2023) Vol. 5
Open Access | Times Cited: 8

Optimizing flexible job shop scheduling with automated guided vehicles using a multi-strategy-driven genetic algorithm
Wenlong Li, Huan Li, Yuting Wang, et al.
Egyptian Informatics Journal (2023) Vol. 25, pp. 100437-100437
Open Access | Times Cited: 7

An improved genetic algorithm for solving the helicopter routing problem with time window in post-disaster rescue
Kaidong Yang, Peng Duan, Huishan Yu
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 9, pp. 15672-15707
Open Access | Times Cited: 6

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: 1

Flexible Job Shop Composite Dispatching Rule Mining Approach Based on an Improved Genetic Programming Algorithm
Xixing Li, Qingqing Zhao, Hongtao Tang, et al.
Tsinghua Science & Technology (2024) Vol. 29, Iss. 5, pp. 1390-1408
Open Access | Times Cited: 1

A learning-based memetic algorithm for a cooperative task allocation problem of multiple unmanned aerial vehicles in smart agriculture
Teng-Yu Chen, Zhonghua Miao, Weimin Li, et al.
Swarm and Evolutionary Computation (2024) Vol. 91, pp. 101694-101694
Closed Access | Times Cited: 1

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