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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:

Effective constructive heuristics and meta-heuristics for the distributed assembly permutation flowshop scheduling problem
Quan-Ke Pan, Liang Gao, Xinyu Li, et al.
Applied Soft Computing (2019) Vol. 81, pp. 105492-105492
Closed Access | Times Cited: 129

Showing 26-50 of 129 citing articles:

Improved Meta-Heuristics for Solving Distributed Lot-Streaming Permutation Flow Shop Scheduling Problems
Yuxia Pan, Kaizhou Gao, Zhiwu Li, et al.
IEEE Transactions on Automation Science and Engineering (2022) Vol. 20, Iss. 1, pp. 361-371
Closed Access | Times Cited: 63
A reinforcement learning-driven brain storm optimisation algorithm for multi-objective energy-efficient distributed assembly no-wait flow shop scheduling problem
Fuqing Zhao, Xiaotong Hu, Ling Wang, et al.
International Journal of Production Research (2022) Vol. 61, Iss. 9, pp. 2854-2872
Closed Access | Times Cited: 62
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
Intelligent scheduling and reconfiguration via deep reinforcement learning in smart manufacturing
Shengluo Yang, Zhigang Xu
International Journal of Production Research (2021) Vol. 60, Iss. 16, pp. 4936-4953
Closed Access | Times Cited: 55
Discrete differential evolution metaheuristics for permutation flow shop scheduling problems
Márcia de Fátima Morais, Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, et al.
Computers & Industrial Engineering (2022) Vol. 166, pp. 107956-107956
Closed Access | Times Cited: 45
A matrix cube-based estimation of distribution algorithm for the energy-efficient distributed assembly permutation flow-shop scheduling problem
Zi-Qi Zhang, Rong Hu, Bin Qian, et al.
Expert Systems with Applications (2022) Vol. 194, pp. 116484-116484
Closed Access | Times Cited: 42
Improved gray wolf optimizer for distributed flexible job shop scheduling problem
Xinyu Li, Jin Xie, Qingji Ma, et al.
Science China Technological Sciences (2022) Vol. 65, Iss. 9, pp. 2105-2115
Closed Access | Times Cited: 40
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
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
Q-learning-based hyper-heuristic evolutionary algorithm for the distributed assembly blocking flowshop scheduling problem
Zi-Qi Zhang, Bin Qian, Rong Hu, et al.
Applied Soft Computing (2023) Vol. 146, pp. 110695-110695
Closed Access | Times Cited: 21
An effective Iterated Greedy algorithm for the distributed permutation flowshop scheduling with due windows
Xue-Lei Jing, Quan-Ke Pan, Liang Gao, et al.
Applied Soft Computing (2020) Vol. 96, pp. 106629-106629
Closed Access | Times Cited: 67
Effective heuristics and metaheuristics for the distributed fuzzy blocking flow-shop scheduling problem
Zhongshi Shao, Weishi Shao, Dechang Pi
Swarm and Evolutionary Computation (2020) Vol. 59, pp. 100747-100747
Closed Access | Times Cited: 64
A matrix-cube-based estimation of distribution algorithm for the distributed assembly permutation flow-shop scheduling problem
Zi-Qi Zhang, Bin Qian, Rong Hu, et al.
Swarm and Evolutionary Computation (2020) Vol. 60, pp. 100785-100785
Closed Access | Times Cited: 62
An effective iterated greedy algorithm for solving a multi-compartment AGV scheduling problem in a matrix manufacturing workshop
Wen-Qiang Zou, Quan-Ke Pan, M. Fatih Taşgetiren
Applied Soft Computing (2020) Vol. 99, pp. 106945-106945
Closed Access | Times Cited: 57
Effective Constructive Heuristic and Metaheuristic for the Distributed Assembly Blocking Flow-shop Scheduling Problem
Zhongshi Shao, Weishi Shao, Dechang Pi
Applied Intelligence (2020) Vol. 50, Iss. 12, pp. 4647-4669
Closed Access | Times Cited: 50
A discrete spotted hyena optimizer for solving distributed job shop scheduling problems
Mehmet Akif Şahman
Applied Soft Computing (2021) Vol. 106, pp. 107349-107349
Closed Access | Times Cited: 48
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
Intelligent Decision-Making of Scheduling for Dynamic Permutation Flowshop via Deep Reinforcement Learning
Shengluo Yang, Zhigang Xu, Junyi Wang
Sensors (2021) Vol. 21, Iss. 3, pp. 1019-1019
Open Access | Times Cited: 41
Low-carbon joint scheduling in flexible open-shop environment with constrained automatic guided vehicle by multi-objective particle swarm optimization
Weihua Tan, Xiaofang Yuan, Guoming Huang, et al.
Applied Soft Computing (2021) Vol. 111, pp. 107695-107695
Closed Access | Times Cited: 40
An effective water wave optimization algorithm with problem-specific knowledge for the distributed assembly blocking flow-shop scheduling problem
Fuqing Zhao, Dongqu Shao, Ling Wang, et al.
Knowledge-Based Systems (2022) Vol. 243, pp. 108471-108471
Closed Access | Times Cited: 33
An effective memetic algorithm for the distributed flowshop scheduling problem with an assemble machine
Ying‐Ying Huang, Quan-Ke Pan, Liang Gao
International Journal of Production Research (2022) Vol. 61, Iss. 6, pp. 1755-1770
Closed Access | Times Cited: 33
An effective self-adaptive iterated greedy algorithm for a multi-AGVs scheduling problem with charging and maintenance
Wen-Qiang Zou, Quan-Ke Pan, Leilei Meng, et al.
Expert Systems with Applications (2023) Vol. 216, pp. 119512-119512
Closed Access | Times Cited: 18
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: 18
A cooperative iterated greedy algorithm for the distributed flowshop group robust scheduling problem with uncertain processing times
Zhiyuan Wang, Quan-Ke Pan, Liang Gao, et al.
Swarm and Evolutionary Computation (2023) Vol. 79, pp. 101320-101320
Open Access | Times Cited: 18

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