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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:

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: 8

Showing 8 citing articles:

A discrete artificial bee colony algorithm and its application in flexible flow shop scheduling with assembly and machine deterioration effect
Ming Li, Ching‐Ter Chang, Zhi Liu
Applied Soft Computing (2024) Vol. 159, pp. 111593-111593
Closed Access | Times Cited: 5
A Q-learning driven multi-objective evolutionary algorithm for worker fatigue dual-resource-constrained distributed hybrid flow shop
Haonan Song, Junqing Li, Zhaosheng Du, et al.
Computers & Operations Research (2024), pp. 106919-106919
Closed Access | Times Cited: 5
Two-stage hybrid flow shop scheduling with sequence-dependent setup times in semiconductor manufacturing: A customized variable neighborhood search
Shaojun Lu, Xun Zhang, Min Kong, et al.
Annals of Operations Research (2025)
Closed Access
A cooperative learning-aware dynamic hierarchical hyper-heuristic for distributed heterogeneous mixed no-wait flow-shop scheduling
Ningning Zhu, Fuqing Zhao, Yang Yu, et al.
Swarm and Evolutionary Computation (2024) Vol. 90, pp. 101668-101668
Closed Access | Times Cited: 3
A multi-objective Immune Balancing Algorithm for Distributed Heterogeneous Batching-integrated Assembly Hybrid Flowshop Scheduling
Haiqiang Hao, Haiping Zhu, Yabo Luo
Expert Systems with Applications (2024) Vol. 259, pp. 125288-125288
Closed Access | Times Cited: 3
Ensemble evolutionary algorithms equipped with Q‐learning strategy for solving distributed heterogeneous permutation flowshop scheduling problems considering sequence‐dependent setup time
Fubin Liu, Kaizhou Gao, Dachao Li, et al.
IET Collaborative Intelligent Manufacturing (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 2
A hybrid genetic programming algorithm for the distributed assembly scheduling problems with transportation and sequence-dependent setup times
Jiawen Deng, Jihui Zhang, Shengxiang Yang
Engineering Optimization (2024), pp. 1-27
Closed Access | Times Cited: 1
A multiobjective optimizer with a K-means cluster algorithm for a distributed flexible flowshop rescheduling problem
Xin-Rui Tao, Quan-Ke Pan, Hongyan Sang, et al.
Applied Soft Computing (2024) Vol. 166, pp. 112124-112124
Closed Access | Times Cited: 1
A multi-objective co-evolution algorithm with deep reinforcement learning mechanism for energy-efficient distributed heterogeneous flexible flow shop scheduling problem
Fuqing Zhao, F. H. Yin, Yuqing Du
(2024), pp. 609-615
Closed Access
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