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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:

A multi-neighborhood-based multi-objective memetic algorithm for the energy-efficient distributed flexible flow shop scheduling problem
Weishi Shao, Zhongshi Shao, Dechang Pi
Neural Computing and Applications (2022) Vol. 34, Iss. 24, pp. 22303-22330
Closed Access | Times Cited: 17

Showing 17 citing articles:

Modeling and optimization algorithm for energy-efficient distributed assembly hybrid flowshop scheduling problem considering worker resources
Fei Yu, Chao Lu, Lvjiang Yin, et al.
Journal of Industrial Information Integration (2024) Vol. 40, pp. 100620-100620
Closed Access | Times Cited: 22
A knowledge-guided bi-population evolutionary algorithm for energy-efficient scheduling of distributed flexible job shop problem
Fei Yu, Chao Lu, Jiajun Zhou, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 128, pp. 107458-107458
Closed Access | Times Cited: 39
An effective discrete monarch butterfly optimization algorithm for distributed blocking flow shop scheduling with an assembly machine
Songlin Du, Wenju Zhou, Dakui Wu, et al.
Expert Systems with Applications (2023) Vol. 225, pp. 120113-120113
Closed Access | Times Cited: 19
A systematic literature review on energy-efficient hybrid flow shop scheduling
Dana Marsetiya Utama, Meri Dines Primayesti, Sabila Zahra Umamy, et al.
Cogent Engineering (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 17
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: 7
A Dual-Population Genetic Algorithm with Q-Learning for Multi-Objective Distributed Hybrid Flow Shop Scheduling Problem
Jidong Zhang, Jingcao Cai
Symmetry (2023) Vol. 15, Iss. 4, pp. 836-836
Open Access | Times Cited: 14
Investigation on distributed rescheduling with cutting tool maintenance based on NSGA-III in large-scale panel furniture intelligent manufacturing
Jinxin Wang, Zhanwen Wu, Longzhi Yang, et al.
Journal of Manufacturing Processes (2024) Vol. 112, pp. 214-224
Closed Access | Times Cited: 6
Minimizing the makespan and carbon emissions in the green flexible job shop scheduling problem with learning effects
Zhi Li, Yingjian Chen
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 11
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
Learning-based collaborative optimization for multi-objective energy-aware distributed assembly blocking flow shop scheduling
Songlin Du, Wenju Zhou, Dakui Wu, et al.
Computers & Industrial Engineering (2025), pp. 111214-111214
Closed Access
Solving a many-objective PFSP with reinforcement cumulative prospect theory in low-volume PCB manufacturing
Chen Ding, Fei Qiao, Guangyu Zhu
Neural Computing and Applications (2023) Vol. 35, Iss. 27, pp. 20403-20422
Closed Access | Times Cited: 6
Collaborative scheduling of energy-saving spare parts manufacturing and equipment operation strategy using a self-adaptive two-stage memetic algorithm
Qiang Luo, Qianwang Deng, Huining Zhuang, et al.
Robotics and Computer-Integrated Manufacturing (2023) Vol. 87, pp. 102707-102707
Closed Access | Times Cited: 6
Research on low-carbon flexible job shop scheduling problem based on improved Grey Wolf Algorithm
Kai Zhou, C. L. Tan, Yanqiang Wu, et al.
The Journal of Supercomputing (2024) Vol. 80, Iss. 9, pp. 12123-12153
Closed Access | Times Cited: 2
Scheduling optimization of flexible flow shop with buffer capacity limitation based on an improved discrete particle swarm optimization algorithm
Daliang Chang, Haibo Shi, Chang Liu, et al.
Engineering Optimization (2024), pp. 1-27
Closed Access | Times Cited: 2
Integrated optimization of production and maintenance scheduling with third-party worker resource constraints in distributed parallel machines environment
Like Zhang, Hua Wang, Wenpu Liu, et al.
Computers & Industrial Engineering (2024) Vol. 198, pp. 110647-110647
Closed Access | Times Cited: 2
A Keyword, Taxonomy and Cartographic Research Review of Sustainability Concepts for Production Scheduling in Manufacturing Systems
Massimo Bertolini, Francesco Leali, Davide Mezzogori, et al.
Sustainability (2023) Vol. 15, Iss. 8, pp. 6884-6884
Open Access | Times Cited: 2
Genetic algorithm with normal boundary intersection for multi-objective early/tardy scheduling problem with carbon-emission consideration: a Pareto-optimum solution
Hudaifah Hudaifah, Andriansyah Andriansyah, Khaled Al-Shareef, et al.
Neural Computing and Applications (2023) Vol. 36, Iss. 5, pp. 2493-2506
Closed Access | Times Cited: 2
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