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 effective two-stage iterated greedy algorithm for distributed flowshop group scheduling problem with setup time
Yuhang Wang, Yuyan Han, Yuting Wang, et al.
Expert Systems with Applications (2023) Vol. 233, pp. 120909-120909
Closed Access | Times Cited: 23

Showing 23 citing articles:

Historical information based iterated greedy algorithm for distributed flowshop group scheduling problem with sequence-dependent setup times
Xuan He, Quan-Ke Pan, Liang Gao, et al.
Omega (2023) Vol. 123, pp. 102997-102997
Closed Access | Times Cited: 31

Self-Adaptive Population-Based Iterated Greedy Algorithm for Distributed Permutation Flowshop Scheduling Problem with Part of Jobs Subject to a Common Deadline Constraint
Qiuying Li, Quan-Ke Pan, Hongyan Sang, et al.
Expert Systems with Applications (2024) Vol. 248, pp. 123278-123278
Closed Access | Times Cited: 6

A reinforcement learning-driven adaptive decomposition algorithm for multi-objective hybrid seru system scheduling considering worker transfer
Yuting Wu, Ling Wang, Rui Li, et al.
Swarm and Evolutionary Computation (2024) Vol. 88, pp. 101602-101602
Closed Access | Times Cited: 5

Optimization of Nesting Systems in Shipbuilding: A Review
Sari Wanda Rulita, Gunawan Gunawan, Muzhoffar Dimas Angga Fakhri
Journal of Marine Science and Application (2025)
Closed Access

A rapid population-based iterated greedy for distributed blocking group flowshop scheduling with delivery time windows under multiple processing time scenarios
Yizheng Wang, Yuting Wang, Yuyan Han, et al.
Computers & Industrial Engineering (2025), pp. 110949-110949
Closed Access

A Q-learning-driven genetic algorithm for the distributed hybrid flow shop group scheduling problem with delivery time windows
Qianhui Ji, Yuyan Han, Yuting Wang, et al.
Information Sciences (2025), pp. 121971-121971
Closed Access

A cooperative discrete artificial bee colony algorithm with Q-learning for solving the distributed permutation flowshop group scheduling problem with preventive maintenance
Wanzhong Wu, Hongyan Sang, Quan Pan, et al.
Swarm and Evolutionary Computation (2025) Vol. 95, pp. 101910-101910
Closed Access

Accelerated evaluation of blocking flowshop scheduling with total flow time criteria using a generalized critical machine-based approach
Yuyan Han, Yuting Wang, Quan-Ke Pan, et al.
European Journal of Operational Research (2024) Vol. 318, Iss. 2, pp. 424-441
Closed Access | Times Cited: 3

An enhanced estimation of distribution algorithm with problem-specific knowledge for distributed no-wait flowshop group scheduling problems
Zi-Qi Zhang, Yanxuan Xu, Bin Qian, et al.
Swarm and Evolutionary Computation (2024) Vol. 87, pp. 101559-101559
Closed Access | Times Cited: 2

A Penalty Groups-Assisted Iterated Greedy Integrating Idle Time Insertion: Solving the Hybrid Flow Shop Group Scheduling with Delivery Time Windows
Qianhui Ji, Yuyan Han, Yuting Wang, et al.
Complex System Modeling and Simulation (2024) Vol. 4, Iss. 2, pp. 137-165
Open Access | Times Cited: 2

Multi-population cooperative multi-objective evolutionary algorithm for sequence-dependent group flow shop with consistent sublots
Yuanyuan Zhang, Junqing Li, Ying Xu, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121594-121594
Closed Access | Times Cited: 6

Directed quick search guided evolutionary framework for large-scale multi-objective optimization problems
Ying Wu, Na Yang, Long Chen, et al.
Expert Systems with Applications (2023) Vol. 239, pp. 122370-122370
Closed Access | Times Cited: 5

Modelling and optimization of a distributed flow shop group scheduling problem with heterogeneous factories
Jingjing Zhou, Tao Meng, Yangli Jia
Computers & Industrial Engineering (2024), pp. 110635-110635
Closed Access | Times Cited: 1

A cascaded flowshop joint scheduling problem with makespan minimization: A mathematical model and shifting iterated greedy algorithm
Chuang Wang, Quan-Ke Pan, Hongyan Sang, et al.
Swarm and Evolutionary Computation (2024) Vol. 86, pp. 101489-101489
Closed Access

Open shop scheduling with group and transportation operations by learning-driven hyper-heuristic algorithms
Yifeng Wang, Yaping Fu, Kaizhou Gao, et al.
Swarm and Evolutionary Computation (2024) Vol. 91, pp. 101757-101757
Closed Access

Distributed hybrid flowshop scheduling with consistent sublots under delivery time windows: A penalty lot-assisted iterated greedy algorithm
Jinli Liu, Yuyan Han, Yuting Wang, et al.
Egyptian Informatics Journal (2024) Vol. 28, pp. 100566-100566
Closed Access

Multi-population coevolutionary algorithm for a green multi-objective flexible job shop scheduling problem with automated guided vehicles and variable processing speed constraints
Chao Liu, Yuyan Han, Yuting Wang, et al.
Swarm and Evolutionary Computation (2024) Vol. 91, pp. 101774-101774
Closed Access

Exploring the evolution of machine scheduling through a computational approach
Maziar Yazdani, Milad Haghani
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108572-108572
Open Access

Heuristic Approach to Planning Complex Multi-Stage Production Systems
Kapiton N. Pospelov, Irina V. Vatamaniuk, Karina A. Lundaeva, et al.
International Journal of Technology (2023) Vol. 14, Iss. 8, pp. 1790-1790
Open Access | Times Cited: 1

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