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:

Deep reinforcement learning assisted co-evolutionary differential evolution for constrained optimization
Zhenzhen Hu, Wenyin Gong, Witold Pedrycz, et al.
Swarm and Evolutionary Computation (2023) Vol. 83, pp. 101387-101387
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

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

Constrained multi-objective optimization problems: Methodologies, algorithms and applications
Yuanyuan Hao, Chunliang Zhao, Yiqin Zhang, et al.
Knowledge-Based Systems (2024) Vol. 299, pp. 111998-111998
Open Access | Times Cited: 7

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

Window Method: A Plug-in-Style Large-Scale Handling Technique for Evolutionary Algorithm
Yafeng Sun, Xingwang Wang, Junhong Huang, et al.
(2025)
Closed Access

Learning-Based Stochastic Multi-Objective Optimizer for Uncertain Power System Scheduling
Bin Deng, Mengshi Li, Tianyao Ji, et al.
(2025)
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

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

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 co-evolutionary algorithm with adaptive penalty function for constrained optimization
Vinícius Veloso de Melo, Alexandre Moreira Nascimento, Giovanni Iacca
Soft Computing (2024) Vol. 28, Iss. 19, pp. 11343-11376
Open Access | Times Cited: 2

Exploring interpretable evolutionary optimization via significance of each constraint and population diversity
Yalin Wang, Xujie Tan, Chenliang Liu, et al.
Swarm and Evolutionary Computation (2024) Vol. 91, pp. 101679-101679
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 edge intelligence-based model deployment method for CNC systems
Zheng Zhou, Dong Man Yu, Meng Chen, et al.
Journal of Manufacturing Systems (2024) Vol. 74, pp. 716-751
Closed Access | Times Cited: 1

Analysing hyper-heuristics based on Neural Networks for the automatic design of population-based metaheuristics in continuous optimisation problems
José M. Tapia-Avitia, Jorge M. Cruz‐Duarte, Iván Amaya, et al.
Swarm and Evolutionary Computation (2024) Vol. 89, pp. 101616-101616
Closed Access | Times Cited: 1

A hierarchical reinforcement learning-aware hyper-heuristic algorithm with fitness landscape analysis
Ningning Zhu, Fuqing Zhao, Yang Yu, et al.
Swarm and Evolutionary Computation (2024) Vol. 90, pp. 101669-101669
Closed Access | Times Cited: 1

Optimizing Artificial Neural Network Learning Using Improved Reinforcement Learning in Artificial Bee Colony Algorithm
Taninnuch Lamjiak, Booncharoen Sirinaovakul, Siriwan Kornthongnimit, et al.
Applied Computational Intelligence and Soft Computing (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 1

Elite Gene Transfer Learning Heuristic Algorithm in Scheduling Aircraft Assembly
Kai Zhang, Yingwei Zhang, Hongrui Gao, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 11, pp. 13373-13383
Closed Access | Times Cited: 1

Multi-objective optimization method for cross-workshop linkage production of partially flexible free-forging with forward single-machine scheduling
Qiang Cheng, Hongmei Kan, Jiaxiang Ren, et al.
Computers & Industrial Engineering (2024) Vol. 196, pp. 110508-110508
Closed Access | Times Cited: 1

Q-learning Guided Algorithms for Bi-Criteria Minimization of Total Flow Time and Makespan in No-Wait Permutation Flowshops
Damla Yüksel, Levent Kandiller, M. Fatih Taşgetiren
Swarm and Evolutionary Computation (2024) Vol. 89, pp. 101617-101617
Closed Access | Times Cited: 1

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