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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:

Multi-strategy multi-objective differential evolutionary algorithm with reinforcement learning
Yupeng Han, Hu Peng, Changrong Mei, et al.
Knowledge-Based Systems (2023) Vol. 277, pp. 110801-110801
Closed Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Multi-objective optimization model for railway heavy-haul traffic: Addressing carbon emissions reduction and transport efficiency improvement
Ai-Qing Tian, Xiao-Yang Wang, Heying Xu, et al.
Energy (2024) Vol. 294, pp. 130927-130927
Closed Access | Times Cited: 14
Flexible job shop scheduling with stochastic machine breakdowns by an improved tuna swarm optimization algorithm
Chengshuai Fan, Wentao Wang, Jun Tian
Journal of Manufacturing Systems (2024) Vol. 74, pp. 180-197
Closed Access | Times Cited: 14
Improved Binary Meerkat Optimization Algorithm for efficient feature selection of supervised learning classification
Reda M. Hussien, Amr A. Abohany, Amr A. Abd El-Mageed, et al.
Knowledge-Based Systems (2024) Vol. 292, pp. 111616-111616
Closed Access | Times Cited: 9
Scheduling and Logistics Optimization for Batch Manufacturing Processes With Temperature Constraints and Alternative Thermal Devices
Ziyan Zhao, Zikuo Bian, Jiaqi Liang, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 10, pp. 11930-11939
Closed Access | Times Cited: 8
A reinforcement learning enhanced memetic algorithm for multi-objective flexible job shop scheduling toward Industry 5.0
Xiao Chang, Xiaoliang Jia, Jiahao Ren
International Journal of Production Research (2024), pp. 1-29
Closed Access | Times Cited: 7
Balancing Convergence and Diversity: Gaussian Mixture Models in Adaptive Weight Vector Strategies for Multi-Objective Algorithms
Xuepeng Ren, Maocai Wang, Guangming Dai, et al.
Information Sciences (2025) Vol. 700, pp. 121858-121858
Closed Access
Reinforcement learning-assisted particle swarm algorithm for effluent scheduling problem with an influent estimation of WWTP
Han Hong-gui, XU ZiAng, Jingjing Wang
Swarm and Evolutionary Computation (2025) Vol. 94, pp. 101871-101871
Closed Access
Dynamic quadratic decomposition-based evolutionary algorithm for multi-objective fuzzy flexible jobshop scheduling
XuWei Zhang, Ziyan Zhao, Shujin Qin, et al.
Swarm and Evolutionary Computation (2025) Vol. 94, pp. 101884-101884
Closed Access
An efficient eigenvector-based crossover for differential evolution: Simplifying with rank-one updates
Tae Jong Choi
AIMS Mathematics (2025) Vol. 10, Iss. 2, pp. 3500-3522
Open Access
Enhanced genetic algorithm for indoor low-illumination stereo matching energy function optimization
Hongjin Zhang, Hui Wei
Alexandria Engineering Journal (2025) Vol. 121, pp. 1-17
Closed Access
A Similar Environment Transfer Strategy for Dynamic Multiobjective Optimization
Junzhong Ji, Xiaoyu Zhang, Cuicui Yang, et al.
Information Sciences (2025), pp. 122018-122018
Closed Access
Enhanced few-shot object detection for remote sensing images based on target characteristics
Jian Wang, Zeya Zhao, Jiang Shao, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110315-110315
Closed Access
A high-dimensional feature selection algorithm via fast dimensionality reduction and multi-objective differential evolution
Xuezhi Yue, Yihang Liao, Hu Peng, et al.
Swarm and Evolutionary Computation (2025) Vol. 94, pp. 101899-101899
Closed Access
Implications from Legacy Device Environments on the Conceptional Design of Machine Learning Models in Manufacturing
Bastian Engelmann, Anna-Maria Schmitt, Lukas Theilacker, et al.
Journal of Manufacturing and Materials Processing (2024) Vol. 8, Iss. 1, pp. 15-15
Open Access | Times Cited: 4
Real-time stochastic flexible flow shop scheduling in a credit factory with model-based reinforcement learning
Liao Chen, Hongjia Liu, Ning Jia, et al.
International Journal of Production Research (2024), pp. 1-20
Closed Access | Times Cited: 4
Dynamic Job-Shop Scheduling via Graph Attention Networks and Deep Reinforcement Learning
Chien‐Liang Liu, Chun-Jan Tseng, P.S. Weng
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 6, pp. 8662-8672
Closed Access | Times Cited: 3
Fast Pareto set approximation for multi-objective flexible job shop scheduling via parallel preference-conditioned graph reinforcement learning
Chupeng Su, Cong Zhang, Chuang Wang, et al.
Swarm and Evolutionary Computation (2024) Vol. 88, pp. 101605-101605
Closed Access | Times Cited: 3
Adaptive search space for stochastic opposition-based learning in differential evolution
Tae Jong Choi, Nikhil Pachauri
Knowledge-Based Systems (2024) Vol. 300, pp. 112172-112172
Closed Access | Times Cited: 3
Active learning based hyper-heuristic for the integration of production and Transportation: A third-party logistics perspective
Zuocheng Li, Ling Bai, Bin Qian, et al.
Computers & Industrial Engineering (2024) Vol. 194, pp. 110381-110381
Closed Access | Times Cited: 3
Multi-objective sustainable flexible job shop scheduling problem: Balancing economic, ecological, and social criteria
Candice Destouet, Houda Tlahig, Belgacem Bettayeb, et al.
Computers & Industrial Engineering (2024) Vol. 195, pp. 110419-110419
Open Access | Times Cited: 3
A Novel Multi-State Reinforcement Learning-Based Multi-Objective Evolutionary Algorithm
Jing Wang, Yuxin Zheng, Ziyun Zhang, et al.
Information Sciences (2024) Vol. 688, pp. 121397-121397
Closed Access | Times Cited: 2
Multi-objective scheduling of cloud-edge cooperation in distributed manufacturing via multi-agent deep reinforcement learning
Peng Guo, Haichao Shi, Yi Wang, et al.
International Journal of Production Research (2024), pp. 1-25
Closed Access | Times Cited: 2
An improved slime mould algorithm using multiple strategies
Mozhong Zhu, Rongkun Zhu, Feng Li, et al.
International Journal of Parallel Emergent and Distributed Systems (2024) Vol. 39, Iss. 4, pp. 461-485
Closed Access | Times Cited: 2
A decomposition-based multi-objective evolutionary algorithm using infinitesimal method
Jing Wang, Shunce Mei, Changxin Liu, et al.
Applied Soft Computing (2024) Vol. 167, pp. 112272-112272
Closed Access | Times Cited: 2
MFWOA: Multifactorial Whale Optimization Algorithm
Lei Ye, Hangqi Ding, Haoran Xu, et al.
Swarm and Evolutionary Computation (2024) Vol. 91, pp. 101768-101768
Closed Access | Times Cited: 2
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