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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:

An improved iterated greedy algorithm for the distributed assembly permutation flowshop scheduling problem
Ying‐Ying Huang, Quan-Ke Pan, Jiang‐Ping Huang, et al.
Computers & Industrial Engineering (2020) Vol. 152, pp. 107021-107021
Closed Access | Times Cited: 100

Showing 1-25 of 100 citing articles:

ESO: An enhanced snake optimizer for real-world engineering problems
Liguo Yao, Panliang Yuan, Chieh-Yuan Tsai, et al.
Expert Systems with Applications (2023) Vol. 230, pp. 120594-120594
Closed Access | Times Cited: 56
A review and classification on distributed permutation flowshop scheduling problems
Paz Pérez-González, José M. Framiñán
European Journal of Operational Research (2023) Vol. 312, Iss. 1, pp. 1-21
Open Access | Times Cited: 49
An improved iterated greedy algorithm for the distributed hybrid flowshop scheduling problem
Chao Lu, Jun Zheng, Lvjiang Yin, et al.
Engineering Optimization (2023) Vol. 56, Iss. 5, pp. 792-810
Closed Access | Times Cited: 48
Improved meta-heuristics with Q-learning for solving distributed assembly permutation flowshop scheduling problems
Hui Yu, Kaizhou Gao, Zhenfang Ma, et al.
Swarm and Evolutionary Computation (2023) Vol. 80, pp. 101335-101335
Closed Access | Times Cited: 40
A Q-learning-based hyper-heuristic evolutionary algorithm for the distributed flexible job-shop scheduling problem with crane transportation
Zi-Qi Zhang, Fang-Chun Wu, Bin Qian, et al.
Expert Systems with Applications (2023) Vol. 234, pp. 121050-121050
Closed Access | Times Cited: 40
An improved iterated greedy algorithm for the energy-efficient blocking hybrid flow shop scheduling problem
Haoxiang Qin, Yuyan Han, Biao Zhang, et al.
Swarm and Evolutionary Computation (2021) Vol. 69, pp. 100992-100992
Closed Access | Times Cited: 90
A Population-Based Iterated Greedy Algorithm for Distributed Assembly No-Wait Flow-Shop Scheduling Problem
Fuqing Zhao, Zesong Xu, Ling Wang, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 5, pp. 6692-6705
Closed Access | Times Cited: 61
An Adaptive Iterated Greedy algorithm for distributed mixed no-idle permutation flowshop scheduling problems
Yuanzhen Li, Quan-Ke Pan, Junqing Li, et al.
Swarm and Evolutionary Computation (2021) Vol. 63, pp. 100874-100874
Closed Access | Times Cited: 55
Distributed Co-Evolutionary Memetic Algorithm for Distributed Hybrid Differentiation Flowshop Scheduling Problem
Guanghui Zhang, Bo Liu, Ling Wang, et al.
IEEE Transactions on Evolutionary Computation (2022) Vol. 26, Iss. 5, pp. 1043-1057
Closed Access | Times Cited: 39
Intelligent optimization under blocking constraints: A novel iterated greedy algorithm for the hybrid flow shop group scheduling problem
Haoxiang Qin, Yuyan Han, Yuting Wang, et al.
Knowledge-Based Systems (2022) Vol. 258, pp. 109962-109962
Closed Access | Times Cited: 39
Energy-Efficient Iterative Greedy Algorithm for the Distributed Hybrid Flow Shop Scheduling With Blocking Constraints
Haoxiang Qin, Yuyan Han, Qingda Chen, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2023) Vol. 7, Iss. 5, pp. 1442-1457
Closed Access | Times Cited: 35
Intelligent optimization under the makespan constraint: Rapid evaluation mechanisms based on the critical machine for the distributed flowshop group scheduling problem
Yuhang Wang, Yuyan Han, Yuting Wang, et al.
European Journal of Operational Research (2023) Vol. 311, Iss. 3, pp. 816-832
Closed Access | Times Cited: 35
An Estimation of Distribution Algorithm-Based Hyper-Heuristic for the Distributed Assembly Mixed No-Idle Permutation Flowshop Scheduling Problem
Fuqing Zhao, Bo Zhu, Ling Wang
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 53, Iss. 9, pp. 5626-5637
Closed Access | Times Cited: 33
A novel priority dispatch rule generation method based on graph neural network and reinforcement learning for distributed job-shop scheduling
Jiang‐Ping Huang, Liang Gao, Xinyu Li, et al.
Journal of Manufacturing Systems (2023) Vol. 69, pp. 119-134
Closed Access | Times Cited: 29
An effective hyper heuristic-based memetic algorithm for the distributed assembly permutation flow-shop scheduling problem
Hongbo Song, You-Hong Yang, Jian Lin, et al.
Applied Soft Computing (2023) Vol. 135, pp. 110022-110022
Closed Access | Times Cited: 26
A cooperative population-based iterated greedy algorithm for distributed permutation flowshop group scheduling problem
Hui Zhao, Quan-Ke Pan, Kaizhou Gao
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106750-106750
Closed Access | Times Cited: 23
An end-to-end deep reinforcement learning method based on graph neural network for distributed job-shop scheduling problem
Jiang‐Ping Huang, Liang Gao, Xinyu Li
Expert Systems with Applications (2023) Vol. 238, pp. 121756-121756
Closed Access | Times Cited: 21
A feedback learning-based selection hyper-heuristic for distributed heterogeneous hybrid blocking flow-shop scheduling problem with flexible assembly and setup time
Zhongshi Shao, Weishi Shao, Jianrui Chen, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107818-107818
Closed Access | Times Cited: 9
A population-based iterated greedy algorithm to minimize total flowtime for the distributed blocking flowshop scheduling problem
Shuai Chen, Quan-Ke Pan, Liang Gao, et al.
Engineering Applications of Artificial Intelligence (2021) Vol. 104, pp. 104375-104375
Closed Access | Times Cited: 45
An optimal block knowledge driven backtracking search algorithm for distributed assembly No-wait flow shop scheduling problem
Fuqing Zhao, Jinlong Zhao, Ling Wang, et al.
Applied Soft Computing (2021) Vol. 112, pp. 107750-107750
Closed Access | Times Cited: 45
A referenced iterated greedy algorithm for the distributed assembly mixed no-idle permutation flowshop scheduling problem with the total tardiness criterion
Yuanzhen Li, Quan-Ke Pan, Rubén Ruíz, et al.
Knowledge-Based Systems (2021) Vol. 239, pp. 108036-108036
Closed Access | Times Cited: 42
Production scheduling for blocking flowshop in distributed environment using effective heuristics and iterated greedy algorithm
Shuai Chen, Quan-Ke Pan, Liang Gao
Robotics and Computer-Integrated Manufacturing (2021) Vol. 71, pp. 102155-102155
Closed Access | Times Cited: 41
An effective metaheuristic with a differential flight strategy for the distributed permutation flowshop scheduling problem with sequence-dependent setup times
Hengwei Guo, Hongyan Sang, Biao Zhang, et al.
Knowledge-Based Systems (2022) Vol. 242, pp. 108328-108328
Closed Access | Times Cited: 32
A novel MILP model for job shop scheduling problem with mobile robots
Youjie Yao, Qi-Hao Liu, Xinyu Li, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 81, pp. 102506-102506
Closed Access | Times Cited: 30
Invasive weed optimization for multi-AGVs dispatching problem in a matrix manufacturing workshop
Zhongkai Li, Hongyan Sang, Junqing Li, et al.
Swarm and Evolutionary Computation (2023) Vol. 77, pp. 101227-101227
Closed Access | Times Cited: 18
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