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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:

Supply chain-oriented permutation flowshop scheduling considering flexible assembly and setup times
Kuo‐Ching Ying, Pourya Pourhejazy, Chen-Yang Cheng, et al.
International Journal of Production Research (2020) Vol. 61, Iss. 1, pp. 258-281
Closed Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Supply Chain Viability and the COVID-19 pandemic: a conceptual and formal generalisation of four major adaptation strategies
Dmitry Ivanov
International Journal of Production Research (2021) Vol. 59, Iss. 12, pp. 3535-3552
Closed Access | Times Cited: 306
Distributed scheduling problems in intelligent manufacturing systems
Yaping Fu, Yushuang Hou, Zifan Wang, et al.
Tsinghua Science & Technology (2021) Vol. 26, Iss. 5, pp. 625-645
Open Access | Times Cited: 141
Distributed Ledger Technology Applications in Food Supply Chains: A Review of Challenges and Future Research Directions
Jamilya Nurgazina, Udsanee Pakdeetrakulwong, Thomas Moser, et al.
Sustainability (2021) Vol. 13, Iss. 8, pp. 4206-4206
Open Access | Times Cited: 81
A cooperative memetic algorithm with feedback for the energy-aware distributed flow-shops with flexible assembly scheduling
Jingjing Wang, Ling Wang
Computers & Industrial Engineering (2022) Vol. 168, pp. 108126-108126
Closed Access | Times Cited: 64
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: 9
A three-stage adaptive memetic algorithm for multi-objective optimization of flexible assembly job-shop scheduling problem
Chenlu Zhang, Jiamei Feng, Mingchuan Zhang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110098-110098
Closed Access
Collaborative assembly factory in the distributed permutation flow-shop scheduling problem considering flexible assembly and fuzzy processing time
Long Cheng, Lei Wang, Jingcao Cai, et al.
Engineering Optimization (2025), pp. 1-32
Closed Access
Enhancing multi-objective evolutionary algorithms with machine learning for scheduling problems: recent advances and survey
Wenqiang Zhang, Guanwei Xiao, Mitsuo Gen, et al.
Frontiers in Industrial Engineering (2024) Vol. 2
Open Access | Times Cited: 4
Adjusted Iterated Greedy for the optimization of additive manufacturing scheduling problems
Kuo‐Ching Ying, Fabio Fruggiero, Pourya Pourhejazy, et al.
Expert Systems with Applications (2022) Vol. 198, pp. 116908-116908
Open Access | Times Cited: 20
The multi-factory two-stage assembly scheduling problem
Hamed Kazemi, Mustapha Nourelfath, Michel Gendreau
Journal of Industrial Information Integration (2024) Vol. 38, pp. 100574-100574
Open Access | Times Cited: 3
Meta-Lamarckian-based iterated greedy for optimizing distributed two-stage assembly flowshops with mixed setups
Pourya Pourhejazy, Chen-Yang Cheng, Kuo‐Ching Ying, et al.
Annals of Operations Research (2022) Vol. 322, Iss. 1, pp. 125-146
Closed Access | Times Cited: 16
A cooperative iterated greedy algorithm for the serial distributed permutation flowshop scheduling problem
Biao Han, Quan-Ke Pan, Liang Gao
International Journal of Production Research (2023) Vol. 62, Iss. 12, pp. 4245-4272
Closed Access | Times Cited: 9
Production Management and Supply Chain Integration
Pourya Pourhejazy
Springer eBooks (2024), pp. 315-340
Closed Access | Times Cited: 2
Emergency medical supplies scheduling during public health emergencies: algorithm design based on AI techniques
Huosong Xia, Zelin Sun, Yuan Wang, et al.
International Journal of Production Research (2023), pp. 1-23
Open Access | Times Cited: 6
N-list-enhanced heuristic for distributed three-stage assembly permutation flow shop scheduling
Kuo‐Ching Ying, Pourya Pourhejazy, Po-Jui Fu
Annals of Operations Research (2023)
Open Access | Times Cited: 5
Distributed Heterogeneous Co-Evolutionary Algorithm for Scheduling a Multistage Fine-Manufacturing System With Setup Constraints
Guanghui Zhang, Bo Liu, Ling Wang, et al.
IEEE Transactions on Cybernetics (2022) Vol. 54, Iss. 3, pp. 1497-1510
Closed Access | Times Cited: 9
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
Supply chain-oriented two-stage assembly flowshops with sequence-dependent setup times
Pourya Pourhejazy, Chen-Yang Cheng, Kuo‐Ching Ying, et al.
Journal of Manufacturing Systems (2021) Vol. 61, pp. 139-154
Closed Access | Times Cited: 12
Supply Chain Optimization Considering Sustainability Aspects
Mohammad Ali Beheshtinia, Parisa Feizollahy, Masood Fathi
Sustainability (2021) Vol. 13, Iss. 21, pp. 11873-11873
Open Access | Times Cited: 12
Reinforcement learning iterated greedy algorithm for distributed assembly permutation flowshop scheduling problems
Kuo‐Ching Ying, Shih-Wei Lin
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 8, pp. 11123-11138
Closed Access | Times Cited: 8
Tailored Iterated Greedy metaheuristic for a scheduling problem in metal 3D printing
Kuo‐Ching Ying, Pourya Pourhejazy, Ya-Hsuan Huang
Advances in Engineering Software (2023) Vol. 186, pp. 103546-103546
Open Access | Times Cited: 4
Modelling and scheduling distributed assembly permutation flow-shops using reinforcement learning-based evolutionary algorithms
Bohan Qiu, Kaizhou Gao, Hui Yu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 142, pp. 109851-109851
Closed Access | Times Cited: 1
A Hybrid Bat Algorithm for Solving the Three-Stage Distributed Assembly Permutation Flowshop Scheduling Problem
Jianguo Zheng, Yilin Wang
Applied Sciences (2021) Vol. 11, Iss. 21, pp. 10102-10102
Open Access | Times Cited: 11
A Two-Stage Closed-Loop Supply Chain Pricing Decision: Cross-Channel Recycling and Channel Preference
Wenjun Pan, Miao Lin
Axioms (2021) Vol. 10, Iss. 2, pp. 120-120
Open Access | Times Cited: 9
Sequencing single machine multiple-class customer order jobs using heuristics and improved simulated annealing algorithms
Win-Chin Lin, Xingong Zhang, Xinbo Liu, et al.
RAIRO - Operations Research (2023) Vol. 57, Iss. 3, pp. 1417-1441
Open Access | Times Cited: 3
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