Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 discrete artificial bee colony method based on variable neighborhood structures for the distributed permutation flowshop problem with sequence-dependent setup times
Yang Yu, Feng-Qi Zhang, Guodong Yang, et al.
Swarm and Evolutionary Computation (2022) Vol. 75, pp. 101179-101179
Closed Access | Times Cited: 16

Showing 16 citing articles:

oBABC: A one-dimensional binary artificial bee colony algorithm for binary optimization
Fangfang Zhu, Zhenhao Shuai, Yuer Lu, et al.
Swarm and Evolutionary Computation (2024) Vol. 87, pp. 101567-101567
Closed Access | Times Cited: 18
Improved Jaya algorithm for energy-efficient distributed heterogeneous permutation flow shop scheduling
Qiwen Zhang, Zhen Tian
The Journal of Supercomputing (2025) Vol. 81, Iss. 2
Closed Access | Times Cited: 1
A Cooperative Scatter Search With Reinforcement Learning Mechanism for the Distributed Permutation Flowshop Scheduling Problem With Sequence-Dependent Setup Times
Fuqing Zhao, Gang Zhou, Ling Wang
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 53, Iss. 8, pp. 4899-4911
Closed Access | Times Cited: 37
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
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
An iterated greedy algorithm with acceleration of job allocation probability for distributed heterogeneous permutation flowshop scheduling problem
Haoran Li, Xinyu Li, Liang Gao
Swarm and Evolutionary Computation (2024) Vol. 88, pp. 101580-101580
Closed Access | Times Cited: 6
An artificial immune differential evolution algorithm for scheduling a distributed heterogeneous flexible flowshop
Hua Xuan, Wenting Li, Bing Li
Applied Soft Computing (2023) Vol. 145, pp. 110563-110563
Closed Access | Times Cited: 10
Distributed shop scheduling: A comprehensive review on classifications, models and algorithms
Jianguo Duan, Mengting Wang, Qinglei Zhang, et al.
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 8, pp. 15265-15308
Open Access | Times Cited: 6
A Keyword, Taxonomy and Cartographic Research Review of Sustainability Concepts for Production Scheduling in Manufacturing Systems
Massimo Bertolini, Francesco Leali, Davide Mezzogori, et al.
Sustainability (2023) Vol. 15, Iss. 8, pp. 6884-6884
Open Access | Times Cited: 2
Automatic algorithm design of distributed hybrid flowshop scheduling with consistent sublots
Biao Zhang, Chao Lu, Leilei Meng, et al.
Complex & Intelligent Systems (2023) Vol. 10, Iss. 2, pp. 2781-2809
Open Access | Times Cited: 2
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
Reinforcement learning driven moth‐flame optimisation algorithm for solving numerical optimisation problems
Fuqing Zhao, Yuqing Du, Qiaoyun Wang
IET Collaborative Intelligent Manufacturing (2024) Vol. 6, Iss. 2
Open Access
A Self-adaptive two stage iterative greedy algorithm based job scales for energy-efficient distributed permutation flowshop scheduling problem
Yang Yu, Quan Zhong, Liangliang Sun, et al.
Swarm and Evolutionary Computation (2024) Vol. 92, pp. 101777-101777
Closed Access
An improved memetic algorithm with Q-learning for low carbon economic scheduling of cogeneration system
Liming Wang, Yingming Liu, Xinfu Pang, et al.
Journal of Intelligent & Fuzzy Systems (2023) Vol. 45, Iss. 6, pp. 11585-11600
Closed Access | Times Cited: 1
Permütasyon Akış Tipi Çizelgeleme Probleminin El Bombası Patlatma Metodu ile Çözümü
Celal Özkale, Kasım Baynal, Turgay Öztürk
Pamukkale Üniversitesi İşletme Araştırmaları Dergisi (2023) Vol. 10, Iss. 2, pp. 491-510
Open Access
Reinforcement Learning Driven Moth-flame Optimization Algorithm for Solving Numerical Optimization Problems
Fuqing Zhao, Qiaoyun Wang, Zesong Xu
(2023), pp. 504-509
Closed Access
Page 1

Scroll to top