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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:

Solving energy-efficient fuzzy hybrid flow-shop scheduling problem at a variable machine speed using an extended NSGA-II
Yi-Jian Wang, Gai‐Ge Wang, Fang-Ming Tian, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 105977-105977
Closed Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

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: 20
Multi-objective energy-efficient hybrid flow shop scheduling using Q-learning and GVNS driven NSGA-II
Peize Li, Qiang Xue, Ziteng Zhang, et al.
Computers & Operations Research (2023) Vol. 159, pp. 106360-106360
Closed Access | Times Cited: 36
A feedback-based artificial bee colony algorithm for energy-efficient flexible flow shop scheduling problem with batch processing machines
Jing Wang, Hongtao Tang, Deming Lei
Applied Soft Computing (2024) Vol. 153, pp. 111254-111254
Closed Access | Times Cited: 10
Multi-objective optimization for energy-efficient hybrid flow shop scheduling problem in panel furniture intelligent manufacturing with transportation constraints
Xinyi Yue, Xianqing Xiong, Mei Zhang, et al.
Expert Systems with Applications (2025), pp. 126830-126830
Closed Access | Times Cited: 1
A Q-learning-based multi-objective evolutionary algorithm for integrated green production and distribution scheduling problems
Yushuang Hou, Hongfeng Wang, Xiaoliang Huang
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107434-107434
Closed Access | Times Cited: 17
Renewable Energy-Aware Machine Scheduling Under Intermittent Energy Supply
Mehmet Ertem
IEEE Access (2024) Vol. 12, pp. 23613-23625
Open Access | Times Cited: 6
A multidimensional probabilistic model based evolutionary algorithm for the energy-efficient distributed flexible job-shop scheduling problem
Zi-Qi Zhang, Ying Li, Bin Qian, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108841-108841
Closed Access | Times Cited: 6
An artificial bee colony with diversified operators for energy-efficient hybrid flow shop scheduling with batch processing machines
Yuhang Zhang, Deming Lei, Jing Wang
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108930-108930
Closed Access | Times Cited: 5
Spatial Optimization of Land Use and Carbon Storage Prediction in Urban Agglomerations under Climate Change: Different Scenarios and Multiscale Perspectives of CMIP6
Hao Wu, Yi Yang, Wen Li
Sustainable Cities and Society (2024), pp. 105920-105920
Closed Access | Times Cited: 4
An Improved NSGA-II Method for Solving Multi-objective Flexible Job-shop Scheduling Problems
Ming Jiang, Hongjun Wei, Dongpeng Peng, et al.
Research Square (Research Square) (2025)
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
A novel artificial intelligence search algorithm and mathematical model for the hybrid flow shop scheduling problem
Filip Vidojević, Andrijana Džamić, Dušan Džamić, et al.
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access
Double Deep Q-Network-Based Solution to a Dynamic, Energy-Efficient Hybrid Flow Shop Scheduling System with the Transport Process
Qinglei Zhang, Han Si, Jiyun Qin, et al.
Systems (2025) Vol. 13, Iss. 3, pp. 170-170
Open Access
A Deep Reinforcement Learning-Based Evolutionary Algorithm for Distributed Heterogeneous Green Hybrid Flowshop Scheduling
Hua Xu, Lan Huang, Juntai Tao, et al.
Processes (2025) Vol. 13, Iss. 3, pp. 728-728
Open Access
A trajectory-based algorithm enhanced by Q-learning and cloud integration for hybrid flexible flowshop scheduling problem with sequence-dependent setup times: A case study
Fehmi Burçin Özsoydan
Computers & Operations Research (2025), pp. 107079-107079
Closed Access
Multi-objective evolutionary co-learning framework for energy-efficient hybrid flow-shop scheduling problem with human-machine collaboration
Jiawei Wu, Yong Liu, Yani Zhang
Swarm and Evolutionary Computation (2025) Vol. 95, pp. 101932-101932
Closed Access
Multi-Objective Optimization for Controlling the Dynamics of the Diabetic Population
Karim El Moutaouakil, Abdellatif El Ouissari, Vasile Palade, et al.
Mathematics (2023) Vol. 11, Iss. 13, pp. 2957-2957
Open Access | Times Cited: 10
An Adaptive Two-Class Teaching-Learning-Based Optimization for Energy-Efficient Hybrid Flow Shop Scheduling Problems with Additional Resources
Deming Lei, Jiawei Zhang, Hongli Liu
Symmetry (2024) Vol. 16, Iss. 2, pp. 203-203
Open Access | Times Cited: 3
Optimizing perishable food products across states: A multi objective evolutionary algorithm for surplus to deficit transportation
Malleswari Karanam, Krishnanand Lanka, Vijaya Kumar Manupati, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109130-109130
Closed Access | Times Cited: 3
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 multi-objective flexible flow shop scheduling problem with an improved NSGA-Ⅱ algorithm
Xi Liu, Xin Chen, Yushan Zhao, et al.
Journal of Industrial and Management Optimization (2025)
Open Access
Cooperation-based bi-level rescheduling method for multi-objective distributed hybrid flow shop with unrelated parallel machines under multi-type disturbances
Hanghao Cui, Xinyu Li, Liang Gao, et al.
International Journal of Computer Integrated Manufacturing (2025), pp. 1-23
Closed Access
Two-Machine flow shop task scheduling using a hybrid Gravitational Search Algorithm called SAGSA
Mahdi Rohani Hajiabadi, Reza Homayouni Amlashi, Ali Asghar Rahmani Hosseinabadi, et al.
Journal of Industrial and Management Optimization (2025)
Open Access
Fuzzy correlation entropy-based NSGA-II for energy-efficient hybrid flow-shop scheduling problem
Yi-Jian Wang, Juan Li, Gai‐Ge Wang
Knowledge-Based Systems (2023) Vol. 277, pp. 110808-110808
Closed Access | Times Cited: 9
Time-Optimal Trajectory Planning for the Manipulator Based on Improved Non-Dominated Sorting Genetic Algorithm II
Jie Hou, Juan Du, Zhi Chen
Applied Sciences (2023) Vol. 13, Iss. 11, pp. 6757-6757
Open Access | Times Cited: 8
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