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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:

MRLM: A meta-reinforcement learning-based metaheuristic for hybrid flow-shop scheduling problem with learning and forgetting effects
Zeyu Zhang, Zhongshi Shao, Weishi Shao, et al.
Swarm and Evolutionary Computation (2024) Vol. 85, pp. 101479-101479
Closed Access | Times Cited: 15

Showing 15 citing articles:

Review on ensemble meta-heuristics and reinforcement learning for manufacturing scheduling problems
Yaping Fu, Yifeng Wang, Kaizhou Gao, et al.
Computers & Electrical Engineering (2024) Vol. 120, pp. 109780-109780
Closed Access | Times Cited: 10
A multi-dimensional co-evolutionary algorithm for multi-objective resource-constrained flexible flowshop with robotic transportation
Jiake Li, Rong-hao Li, Junqing Li, et al.
Applied Soft Computing (2025) Vol. 170, pp. 112689-112689
Closed Access
A feature based neural network model for distributed flexible flow shop scheduling considering worker and transportation factors
Tianpeng Xu, Fuqing Zhao, Jianlin Zhang, et al.
Computers & Industrial Engineering (2025), pp. 110917-110917
Closed Access
A Q-learning-based improved multi-objective genetic algorithm for solving distributed heterogeneous assembly flexible job shop scheduling problems with transfers
Zhijie Yang, Xinkai Hu, Yibing Li, et al.
Journal of Manufacturing Systems (2025) Vol. 79, pp. 398-418
Closed Access
Evolutionary Algorithm Based on Multi-probability Distribution Model for Stochastic Optimization
Hao Cong, Xiao-Min Hu, Wei-Neng Chen, et al.
Swarm and Evolutionary Computation (2025) Vol. 94, pp. 101839-101839
Closed Access
Hybrid flow shop scheduling with continuous processing and resource threshold constraints: A case of steel plant
Zhangsheng Su, Chao Deng, Raymond Chiong, et al.
Expert Systems with Applications (2025), pp. 127247-127247
Closed Access
A Real-Time Human–Machine–Logistics Collaborative Scheduling Method Considering Workers’ Learning and Forgetting Effects
Wenchao Yang, Sen Li, Guofu Luo, et al.
Applied System Innovation (2025) Vol. 8, Iss. 2, pp. 40-40
Open Access
Two-Stage Adaptive Memetic Algorithm with Surprisingly Popular Mechanism for Energy-Aware Distributed Hybrid Flow Shop Scheduling Problem with Sequence-Dependent Setup Time
Feng Chen, Cong Luo, Wenyin Gong, et al.
Complex System Modeling and Simulation (2024) Vol. 4, Iss. 1, pp. 82-108
Open Access | Times Cited: 4
Intelligent cross-entropy optimizer: A novel machine learning-based meta-heuristic for global optimization
Salar Farahmand‐Tabar, Payam Ashtari
Swarm and Evolutionary Computation (2024) Vol. 91, pp. 101739-101739
Closed Access | Times Cited: 2
Re-Entrant Green Scheduling Problem of Bearing Production Shops Considering Job Reworking
Yansen Wang, Jianwei Shi, Wenjie Wang, et al.
Machines (2024) Vol. 12, Iss. 4, pp. 281-281
Open Access | Times Cited: 1
Simultaneous scheduling of jobs and transporters in a hybrid flow shop with collision-free transporter routing: A novel parallel heuristic
Arash Amirteimoori, Moataz Mohamed, Reza Kia
Computers & Operations Research (2024) Vol. 168, pp. 106687-106687
Closed Access | Times Cited: 1
A modified multi-agent proximal policy optimization algorithm for multi-objective dynamic partial-re-entrant hybrid flow shop scheduling problem
Jiawei Wu, Yong Liu
Engineering Applications of Artificial Intelligence (2024) Vol. 140, pp. 109688-109688
Closed Access | Times Cited: 1
Multi-Level Subpopulation-Based Particle Swarm Optimization Algorithm for Hybrid Flow Shop Scheduling Problem with Limited Buffers
Yuan Zou, Chao Lü, Lvjiang Yin, et al.
(2024)
Closed Access
A Double Deep Q Network Guided Online Learning Differential Evolution Algorithm
Fuqing Zhao, Mingxiang Yang
Lecture notes in computer science (2024), pp. 196-208
Closed Access
Integrating machine learning and operations research methods for scheduling problems: a bibliometric analysis and literature review
Ayoub Ouhadi, Zakaria Yahouni, Maria Di Mascolo
IFAC-PapersOnLine (2024) Vol. 58, Iss. 19, pp. 946-951
Open Access
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
Reinforcement Learning-based Alpha-list Iterated Greedy for Production Scheduling
Kuo‐Ching Ying, Pourya Pourhejazy, S.-C. Cheng
Intelligent Systems with Applications (2024) Vol. 24, pp. 200451-200451
Open Access
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