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:

Automatic design of constructive heuristics for a reconfigurable distributed flowshop group scheduling problem
Biao Zhang, Leilei Meng, Chao Lu, et al.
Computers & Operations Research (2023) Vol. 161, pp. 106432-106432
Closed Access | Times Cited: 15

Showing 15 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

Modeling and multi-objective optimization for energy-aware scheduling of distributed hybrid flow-shop
Chao Lu, Jiajun Zhou, Liang Gao, et al.
Applied Soft Computing (2024) Vol. 156, pp. 111508-111508
Closed Access | Times Cited: 7

Modeling and Scheduling a Constrained Flowshop in Distributed Manufacturing Environments
Bingtao Wang, Quan-Ke Pan, Liang Gao, et al.
Journal of Manufacturing Systems (2024) Vol. 72, pp. 519-535
Closed Access | Times Cited: 6

Decomposition-based multi-objective approach for a green hybrid flowshop rescheduling problem with consistent sublots
Weiwei Wang, Biao Zhang, Xuchu Jiang, et al.
International Journal of Production Research (2024), pp. 1-29
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

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

Integrated heterogeneous graph and reinforcement learning enabled efficient scheduling for surface mount technology workshop
Biao Zhang, Hongyan Sang, Chao Lu, et al.
Information Sciences (2025), pp. 122023-122023
Closed Access

An enhanced artificial bee colony algorithm with self-learning optimization mechanism for multi-objective path planning problem
Fan Ye, Peng Duan, Leilei Meng, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 149, pp. 110444-110444
Closed Access

An Improved Harris Hawk Optimization Algorithm for Flexible Job Shop Scheduling Problem
Zhaolin Lv, Zhao Yuexia, Hongyue Kang, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 78, Iss. 2, pp. 2337-2360
Open Access | Times Cited: 3

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

The paradoxes, accelerations and heuristics for a constrained distributed flowshop group scheduling problem
Bingtao Wang, Quan-Ke Pan, Liang Gao, et al.
Computers & Industrial Engineering (2024) Vol. 196, pp. 110465-110465
Closed Access | Times Cited: 1

Optimising distributed heterogeneous flowshop group scheduling arising from PCB mounting: integrating construction and improvement heuristics
Zhenduo Han, Biao Zhang, Hongyan Sang, et al.
International Journal of Production Research (2024), pp. 1-26
Closed Access | Times Cited: 1

Energy-aware scheduling in flow shops: a novel artificial neural network-driven multi-objective optimization
Şehmus Aslan
Engineering Optimization (2024), pp. 1-28
Closed Access | Times Cited: 1

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 reinforcement learning-enhanced multi-objective iterated greedy algorithm for weeding-robot operation scheduling problems
Zhonghua Miao, Hengwei Guo, Quan-Ke Pan, et al.
Expert Systems with Applications (2024) Vol. 263, pp. 125760-125760
Closed Access

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